CN105320118A - Method for electric power demand response control of air conditioning systems based on cloud platform - Google Patents

Abstract

The invention provides a method for the electric power demand response control of air conditioning systems based on a cloud platform. The cloud platform is connected with at least an air conditioning system. The method comprises the following steps: according to a power grid dispatching instruction, determining a maximum total power value of all air conditioning systems; according to the indoor target temperature and humidity of the air conditioning systems, establishing a relation model of the power consumption of the air conditioning systems and the indoor temperature and humidity of a building; based on the structure and indoor environment of the building and the contribution data of the air conditioning systems to the indoor temperature and humidity of the building, establishing a building body model; establishing a total power consumption control model of all the air conditioning systems; and inputting the real-time running parameters of the air conditioning systems, the real-time electrical loads of the air conditioning systems and the real-time indoor/outdoor temperature and humidity data of the building into the total power consumption control model, calculating for obtaining a control parameter variation curve of the air conditioning systems, and according to the curve, controlling the electric power demand response of the air conditioning systems. The method disclosed by the invention can furthest meet the user needs on comfortableness under the condition that the power grid dispatching instruction is implemented.

Description

Based on the air-conditioning system electricity needs response control mehtod of cloud platform

Technical field

The present invention relates to air-conditioning and intelligent grid field, particularly relate to a kind of air-conditioning system electricity needs response control mehtod based on cloud platform.

Background technology

Demand response (DemandResponse, be called for short DR) i.e. electricity needs response, refer to when wholesale power market price raises or system reliability is compromised, after power consumer receives the direct compensation notice or power price rising signals that inductivity that supplier of electricity sends reduces load, change the custom power mode that it is intrinsic, reach and reduce or pass the power load of certain period and respond electric power supply, thus ensure the stabilization of power grids, and the acts and efforts for expediency suppressing electricity price to rise.Demand response strategy is divided into based on the demand response of price and the demand response based on excitation, demand response based on price carries out timesharing price, corresponding demand response policy is more, demand response based on excitation refers to that demand response enforcement body formulates corresponding policy according to electric system state between supply and demand, user reduces electricity needs when system needs or power tense, the preferential electricity price of direct compensation or other periods is obtained with this, before demand response implementing plan, usual demand response enforcement body will sign a contract in advance with participating user, the content of arranging demand response in contract (cuts down power load size and costing standard, duration of response, peak response number of times etc. in indentured period), advance notification times, compensate or electricity price discount criteria, and the punitive measures etc. of promise breaking.Direct load can be divided into control (DirectLoadControl, DLC), interruptible load (InterruptibleLoad, IL), Demand-side is bidded (DemandSideBidding, DSB), urgent need response (EmergencyDemandResponse, EDR), volumes markets project and assistant service project etc.

Air-conditioning system power consumption accounts for about 50% of building electric consumption, and due to the cold-storage ability of architecture noumenon, air-conditioning system, the of short duration closedown of air-conditioning system does not affect comfortableness, and air-conditioning system is proper as the object of demand response.And existing researcher proposes thermodynamic behaviour and the various model of answering of parameter of consideration equipment at present, adopt state queue (StateQueuing, SQ) method carries out modeling for temperature control device on off state transfer characteristics, based on user side comfort level bounding algorithm, the numerical model proposed based on discrete integration carries out corresponding control and optimize.

But the limitation of these methods is, be mostly limited to the adjustment to temperature control device desired temperature, or according to desired temperature, equipment start-stop simply sorted control, be not well positioned to meet users'comfort demand.

Summary of the invention

The invention provides a kind of air-conditioning system demand response control method based on cloud platform, to solve one or more disappearance of the prior art.

The invention provides a kind of air-conditioning system electricity needs response control mehtod based on cloud platform, described cloud platform connects at least one air-conditioning system, comprising: according to a dispatching of power netwoks instruction, determines maximum total electricity consumption value of all described air-conditioning systems; According to indoor objects temperature and the humidity of described air-conditioning system, set up power consumption and its architecture indoor humiture relational model of described air-conditioning system; Based on the structure of described building, indoor environment and described air-conditioning system separately to the indoor temperature and humidity contribution data of described building, set up architecture noumenon model, to calculate the indoor temperature and humidity of dynamic change; Set warm and humid comfort level in conjunction with the power consumption of described maximum total electricity consumption value, described air-conditioning system and its architecture indoor humiture relational model, described architecture noumenon model and interval, set up total power consumption control model of all described air-conditioning systems; The warm and humid data of real-time indoor and outdoor of the real time execution parameter of described air-conditioning system, the real-time power load of described air-conditioning system and described building are inputted described total power consumption control model respectively, calculate the controling parameters change curve of described air-conditioning system, and control the electricity needs response of described air-conditioning system according to described controling parameters change curve.

In an embodiment, described dispatching of power netwoks instruction is the actual electric network dispatch command obtained from a power network dispatching system, and wherein, described cloud platform is connected with described power network dispatching system.

In an embodiment, the difference of the initial time that the acquisition time of described actual electric network dispatch command and the electricity needs of described air-conditioning system respond is less than or equal to a setting-up time, described total power consumption control model meets simultaneously: the indoor objects humiture of described building is positioned at described setting warm and humid comfort level interval and the total electricity consumption of all described air-conditioning systems is less than described maximum total electricity consumption value, in conjunction with described maximum total electricity consumption value, the power consumption of described air-conditioning system and its architecture indoor humiture relational model, described architecture noumenon model and the warm and humid comfort level interval of a setting, set up total power consumption control model of all described air-conditioning systems, comprise: according to power consumption and its architecture indoor humiture relational model of described air-conditioning system, set up the total electricity consumption objective function of all described air-conditioning systems, according to described architecture noumenon model and the warm and humid comfort level interval of described setting, set up the indoor temperature and humidity constraint function of described building, with described maximum total electricity consumption value for maximal value, based on power consumption and its architecture indoor humiture relational model of described air-conditioning system, set up the total electricity consumption constraint function of all described air-conditioning systems, in conjunction with described total electricity consumption objective function, described indoor temperature and humidity constraint function and described total electricity consumption constraint function, generate described total power consumption control model.

In an embodiment, the difference of the initial time that the acquisition time of described actual electric network dispatch command and the electricity needs of described air-conditioning system respond is less than or equal to a setting-up time, described total power consumption control model meets simultaneously: the indoor objects humiture of described building is positioned at outside described setting warm and humid comfort level interval and the total electricity consumption of all described air-conditioning systems is less than described maximum total electricity consumption value, in conjunction with described maximum total electricity consumption value, the power consumption of described air-conditioning system and its architecture indoor humiture relational model, described architecture noumenon model and the warm and humid comfort level interval of a setting, set up total power consumption control model of all described air-conditioning systems, comprise: according to described architecture noumenon model and the warm and humid comfort level interval of described setting, set up the minimum objective function departing from the warm and humid comfort level interval of described setting of indoor temperature and humidity of described building, with described maximum total electricity consumption value for maximal value, based on power consumption and its architecture indoor humiture relational model of described air-conditioning system, set up the total electricity consumption constraint function of all described air-conditioning systems, depart from the objective function in described setting warm and humid comfort level interval and described total electricity consumption constraint function in conjunction with minimum, set up the total power consumption control model preferentially meeting described total electricity consumption constraint function.

In an embodiment, the difference of the initial time that the acquisition time of described actual electric network dispatch command and the electricity needs of described air-conditioning system respond is greater than a setting-up time; Described total power consumption control model considers the cold-storage ability of the water system of described air-conditioning system and the body of described building.

In an embodiment, described total power consumption control model meets simultaneously: the indoor objects humiture of described building is positioned at described setting warm and humid comfort level interval and the total electricity consumption of all described air-conditioning systems is less than described maximum total electricity consumption value, in conjunction with described maximum total electricity consumption value, the power consumption of described air-conditioning system and its architecture indoor humiture relational model, described architecture noumenon model and the warm and humid comfort level interval of a setting, set up total power consumption control model of all described air-conditioning systems, comprise: according to power consumption and its architecture indoor humiture relational model of described air-conditioning system, set up the total electricity consumption objective function of all described air-conditioning systems, wherein, described total electricity consumption objective function is an integral model, according to described architecture noumenon model and the warm and humid comfort level interval of described setting, set up the indoor temperature and humidity constraint function of described building, with described maximum total electricity consumption value for maximal value, based on power consumption and its architecture indoor humiture relational model of described air-conditioning system, set up the total electricity consumption constraint function of all described air-conditioning systems, in conjunction with described total electricity consumption objective function, described indoor temperature and humidity constraint function and described total electricity consumption constraint function, generate described total power consumption control model.

In an embodiment, described total power consumption control model meets simultaneously: the indoor objects humiture of described building is positioned at outside described setting warm and humid comfort level interval and the total electricity consumption of all described air-conditioning systems is less than described maximum total electricity consumption value, in conjunction with described maximum total electricity consumption value, the power consumption of described air-conditioning system and its architecture indoor humiture relational model, described architecture noumenon model and the warm and humid comfort level interval of a setting, set up total power consumption control model of all described air-conditioning systems, comprise: according to described architecture noumenon model and the warm and humid comfort level interval of described setting, set up the minimum objective function departing from the warm and humid comfort level interval of described setting of indoor temperature and humidity of described building, wherein, the minimum objective function departing from the warm and humid comfort level interval of described setting of the indoor temperature and humidity of described building is an integral model, with described maximum total electricity consumption value for maximal value, based on power consumption and its architecture indoor humiture relational model of described air-conditioning system, set up the total electricity consumption constraint function of all described air-conditioning systems, depart from the objective function in described setting warm and humid comfort level interval and described total electricity consumption constraint function in conjunction with minimum, set up the total power consumption control model preferentially meeting described total electricity consumption constraint function.

In an embodiment, described dispatching of power netwoks instruction is prediction dispatching of power netwoks instruction; Described air-conditioning system carries out electricity needs response according to multiple described prediction dispatching of power netwoks instruction.

In an embodiment, described total power consumption control model meets simultaneously: the indoor objects humiture of described building is positioned at described setting warm and humid comfort level interval and the total electricity consumption of all described air-conditioning systems is less than described maximum total electricity consumption value, in conjunction with described maximum total electricity consumption value, the power consumption of described air-conditioning system and its architecture indoor humiture relational model, described architecture noumenon model and the warm and humid comfort level interval of a setting, set up total power consumption control model of all described air-conditioning systems, comprise: according to each described probability of happening of prediction dispatching of power netwoks instruction and the power consumption of described air-conditioning system and its architecture indoor humiture relational model, set up the total electricity consumption electricity charge/electricity objective function of all described air-conditioning systems, wherein, the described total electricity consumption electricity charge/electricity objective function is an integral model, according to described architecture noumenon model and the warm and humid comfort level interval of described setting, set up the indoor temperature and humidity constraint function of described building, with described maximum total electricity consumption value for maximal value, based on power consumption and its architecture indoor humiture relational model of described air-conditioning system, set up the total electricity consumption constraint function of all described air-conditioning systems, in conjunction with the described total electricity consumption electricity charge/electricity objective function, described indoor temperature and humidity constraint function and described total electricity consumption constraint function, generate described total power consumption control model.

In an embodiment, described method also comprises: based in moment, electricity price, outdoor temperature, outside humidity, outdoor illumination and wind-force or multiparameter, according to the load data of the power supply grid of described air-conditioning system and/or the historical operating parameter data of described air-conditioning system, generate described prediction dispatching of power netwoks instruction, and calculate the probability of happening of described prediction dispatching of power netwoks instruction.

In an embodiment, in the power consumption of described air-conditioning system and its architecture indoor humiture relational model, power consumption comprises: refrigeration unit power consumption, freezing cooling-water pump power consumption, electricity used for cooling tower and tail-end blower fan power consumption.

In an embodiment, described controling parameters comprises: one or more in the air quantity of the air quantity of the blower fan start and stop state of the start and stop state of described air-conditioning system, chilled water temperature, unit load rate, chilled-water flow, cooling water flow, cooling tower, the air quantity of air-conditioner set, fan coil, Fresh air handling units leaving air temp and Fresh air handling units.

In an embodiment, described total power consumption control model is:

$\min Pe=\underset{j=1}{\overset{m}{\Σ}}{\mathrm{Pe}}_j$ Or $\min Ce=\underset{j=1}{\overset{m}{\Σ}}{\mathrm{Ce}}_j;$

T _pj,H _dj∈S _j， $Pe=\underset{j=1}{\overset{m}{\&Sigma;}}{\mathrm{Pe}}_j<Pemax;$

Wherein, with total electricity consumption objective function and total electricity consumption electricity charge objective function respectively; T _pj, H _dj∈ S _jit is the indoor temperature and humidity constraint function of described building; it is the total electricity consumption constraint function of all described air-conditioning systems; Pe is the total electricity consumption of all described air-conditioning systems in the unit interval; J is the sequence number of air-conditioning system, j>=1, and j is positive integer; M is the number of air-conditioning system, m>=1, and m is positive integer; Pe _jit is the power consumption of air-conditioning system j in the unit interval; T _pjit is the architecture indoor temperature of air-conditioning system j; Ce is total electricity charge that in the unit interval, all described air-conditioning systems use; Ce _jthe electricity charge that in the unit interval, air-conditioning system j uses; H _djthe architecture indoor humidity of air-conditioning system j; S _jthe warm and humid comfort level of setting being air-conditioning system j is interval; Pemax is maximum total electricity consumption value of all described air-conditioning systems in the unit interval.

In an embodiment, described total power consumption control model is:

minρ((T _pj,H _dj),S _j)；

$Pe=\underset{j=1}{\overset{m}{\&Sigma;}}{\mathrm{Pe}}_j<Pemax;$

Wherein, min ρ ((T _pj, H _dj), S _j) be the minimum objective function departing from the warm and humid comfort level interval of described setting of indoor temperature and humidity of described building; it is the total electricity consumption constraint function of all described air-conditioning systems; T _pjit is the architecture indoor temperature of air-conditioning system j; H _djthe architecture indoor humidity of air-conditioning system j; S _jthe warm and humid comfort level of setting being air-conditioning system j is interval; Pe is the total electricity consumption of all described air-conditioning systems in the unit interval; J is the sequence number of air-conditioning system, j>=1, and j is positive integer; M is the number of air-conditioning system, m>=1, and m is positive integer; Pe _jthe power of air-conditioning system j in the unit interval; Pemax is maximum total electricity consumption value of all described air-conditioning systems in the unit interval; ρ is that architecture indoor humiture departs from the interval S of the warm and humid comfort level of setting _jfunction.

In an embodiment, described total power consumption control model is:

or wherein, ${\mathrm{Pe}}^t=\underset{j=1}{\overset{m}{\&Sigma;}}{{\mathrm{Pe}}_j}^t,{\mathrm{Ce}}^t=\underset{j=1}{\overset{m}{\&Sigma;}}{{\mathrm{Ce}}_j}^t;$

$T_{pj}^t,H_{dj}^t\&Element;S_j,{\mathrm{Pe}}^t<{\mathrm{Pe}}_{max}^t,$ t _s＜t＜t _e；

Wherein, with the integral model of total electricity consumption objective function and total electricity consumption electricity charge objective function respectively; it is the indoor temperature and humidity constraint function of described building; it is the total electricity consumption constraint function of all described air-conditioning systems; t ₀it is the acquisition time of dispatching of power netwoks instruction; t _eit is the end time of air-conditioning system electricity needs response; T represents the moment; t _sit is the initial time of the electricity needs response of described air-conditioning system; Pe ^tit is total electric power of all described air-conditioning systems of t; Ce ^ttotal electricity charge that all described air-conditioning systems use within the unit interval of t; J is the sequence number of air-conditioning system, j>=1, and j is positive integer; M is the number of air-conditioning system, m>=1, and m is positive integer; it is the electric power of t air-conditioning system j; the electricity charge that air-conditioning system j uses within the unit interval of t; it is the architecture indoor temperature of t air-conditioning system j; the architecture indoor humidity of t air-conditioning system j; S _jthe warm and humid comfort level of setting being air-conditioning system j is interval; it is maximum total electric power that all described air-conditioning systems use within the unit interval of t.

In an embodiment, described total power consumption control model is:

$min{\&Integral;}_{t_0}^{t_e}\mathrm{\&rho;}\left(\right(T_{pj}^t,H_{dj}^t),S_j)dt;$

${\mathrm{Pe}}^t<{\mathrm{Pe}}_{max}^t,$ t _s＜t＜t _e；

Wherein, it is the minimum integral model departing from the objective function in the warm and humid comfort level interval of described setting of indoor temperature and humidity of described building; it is the total electricity consumption constraint function of all described air-conditioning systems; it is the architecture indoor temperature of t air-conditioning system j; the architecture indoor humidity of t air-conditioning system j; ρ is that architecture indoor humiture departs from the interval S of the warm and humid comfort level of setting _jfunction; S _jthe warm and humid comfort level of setting being air-conditioning system j is interval; Pe ^tit is the total electricity consumption of all described air-conditioning systems within the unit interval of t; it is maximum total electricity consumption value of all described air-conditioning systems within the unit interval of t; t ₀it is the acquisition time of dispatching of power netwoks instruction; t _eit is the end time of air-conditioning system electricity needs response; T represents the moment; t _sit is the initial time of the electricity needs response of described air-conditioning system.

In an embodiment, described total power consumption control model is:

$min\left(\underset{i=1}{\overset{n}{\&Sigma;}}{P}^i{\&Integral;}_{t_0}^{t_e}{\mathrm{Ce}}^{i,t}dt\right);$

$T_{p_{i,j}}^t,H_{d_{i,j}}^t\&Element;S_j,{\mathrm{Pe}}^{i,t}<{\mathrm{Pe}}_{\max }^{i,t},$ t _i,s＜t＜t _e；

Wherein, it is the integral model of total electricity consumption electricity charge objective function; it is the indoor temperature and humidity constraint function of described building; it is the total electricity consumption constraint function of all described air-conditioning systems; I is the sequence number of prediction dispatching of power netwoks instruction, and 1≤i≤n, i, n is positive integer; P ⁱit is the probability of happening of prediction dispatching of power netwoks instruction i; T represents the moment; t ₀it is the acquisition moment of prediction dispatching of power netwoks instruction; t _eit is the end time of air-conditioning system electricity needs response; Ce ^i,twithin the unit interval of t and total electricity charge that all described air-conditioning systems use in prediction dispatching of power netwoks instruction i situation; it is the architecture indoor temperature of air-conditioning system j in t prediction dispatching of power netwoks instruction i situation; the architecture indoor humidity of air-conditioning system j in t prediction dispatching of power netwoks instruction i situation; S _iit is the warm and humid comfort level interval of setting in prediction dispatching of power netwoks instruction i situation; Pe ^i,tit is the total electricity consumption of all described air-conditioning systems within the unit interval of t and in prediction dispatching of power netwoks instruction i situation; it is maximum total electricity consumption value of all described air-conditioning systems within the t unit interval and in prediction dispatching of power netwoks instruction i situation; t _i,sit is initial time forecast dispatching instruction i being carried out to electricity needs response of air-conditioning system.

In an embodiment, power consumption and its architecture indoor humiture relational model of described air-conditioning system are:

$min\underset{t=0}{\overset{t=t_e}{\&Integral;}}({P^{j,t}}_{chiller}+{P^{j,t}}_{pump}+{P^{j,t}}_{tower}+{P^{j,t}}_{fan})dt,$ s.t.T ^j _p≤T ^j _p0，H ^j _d≤H ^j _d0；

Or $min\underset{t=0}{\overset{t=t_e}{\&Integral;}}({P^{j,t}}_{chiller}+{P^{j,t}}_{pump}+{P^{j,t}}_{tower}+{P^{j,t}}_{fan})\&CenterDot;C^{t}dt,$ s.t.T ^j _p≤T ^j _p0，H ^j _d≤H ^j _d0；

Wherein, $min\underset{t=0}{\overset{t=t_e}{\&Integral;}}({P^{j,t}}_{chiller}+{P^{j,t}}_{pump}+{P^{j,t}}_{tower}+{P^{j,t}}_{fan})\&CenterDot;C^{t}dt$ Represent through electricity needs response time t _ethe electricity consumption electricity charge of air-conditioning system j; J is the sequence number of air-conditioning system, j>=1, and j is positive integer; T is the response moment of air-conditioning system j; t _eit is the end time of air-conditioning system j electricity needs response; P ^j,t _chillerit is the refrigeration unit power consumption of air-conditioning system j within the unit interval of t; P ^j,t _pumpit is the freezing cooling-water pump power consumption of air-conditioning system j within the unit interval of t; P ^j,t _towerit is the electricity used for cooling tower of air-conditioning system j within the unit interval of t; P ^j,t _fanit is the tail-end blower fan power consumption of air-conditioning system j within the unit interval of t; S.t. represent and be tied; T ^j _pit is the architecture indoor temperature of air-conditioning system j; T ^j _p0it is the architecture indoor target temperature of air-conditioning system j; H ^j _dthe architecture indoor humidity of air-conditioning system j; H ^j _d0it is the architecture indoor target humidity of air-conditioning system j; $min\underset{t=0}{\overset{t=t_e}{\&Integral;}}({P^{j,t}}_{chiller}+{P^{j,t}}_{pump}+{P^{j,t}}_{tower}+{P^{j,t}}_{fan})dt$ Be through electricity needs response time t _etotal electricity charge that air-conditioning system j uses; C ^tit is the electricity price of t.

In an embodiment, described architecture noumenon model is:

$CV\frac{{\mathrm{dT}}_p}{dt}={\mathrm{\&Delta;H}}_f+Q_c+Q_t+Q_i={\mathrm{CF}}_f(T_f-T_p)+{\mathrm{CF}}_c(T_c-T_p)+\mathrm{\&alpha;}(T_e-T_p)+Q_i;$

$\mathrm{\&rho;}V\frac{{\mathrm{dH}}_d}{dt}=F_f(W_f-W_b)+F_c(W_c-W_b)+w;$

Wherein, C is air hot melt; V is the architecture indoor air total volume of described air-conditioning system; T _pit is the architecture indoor temperature of described air-conditioning system; T is time variable; Δ H _f=CF _f(T _f-T _p) be the new air heat-exchange amount of described air-conditioning system; Q _c=CF _c(T _c-T _p) be the indoor fan coil heat exchange amount of described air-conditioning system; Q _t=α (T _e-T _p) be the outer heat exchange amount of architecture indoor of described air-conditioning system; Q _iit is the indoor airflow heat dissipation capacity of described air-conditioning system; F _fnew distinguished and admirable speed; T _fit is new wind leaving air temp; F _cit is recirculating air flow velocity; T _cit is recirculating air leaving air temp; α is window wall integrated heat transfer coefficient; T _eit is the building outdoor temperature of described air-conditioning system; ρ is atmospheric density; V is the architecture indoor air total volume of described air-conditioning system; H _dit is the architecture indoor water capacity of described air-conditioning system; T is time variable; F _fnew distinguished and admirable speed; W _fit is new wind air-out water capacity; F _cit is recirculating air flow velocity; W _cit is recirculating air air-out water capacity; W is architecture indoor human body and the object moisture dispersed amount of described air-conditioning system.

The embodiment of the present invention, can carry out the electricity needs response limiting of multiple air-conditioning system based on cloud platform, multiple air-conditioning system can be made mutually to coordinate, not only can complete dispatching of power netwoks instruction, and can ensure users'comfort demand.In the embodiment of the present invention, total power consumption control model summation of all described air-conditioning systems considers the various factors such as dispatching of power netwoks instruction, power consumption and its architecture indoor humiture relation, architecture noumenon and warm and humid comfort level interval, when meeting dispatching of power netwoks requirement and meet users'comfort demand as far as possible, the power consumption of air-conditioning system effectively can be reduced.

Accompanying drawing explanation

In order to be illustrated more clearly in the embodiment of the present invention or technical scheme of the prior art, be briefly described to the accompanying drawing used required in embodiment or description of the prior art below, apparently, accompanying drawing in the following describes is only some embodiments of the present invention, for those of ordinary skill in the art, under the prerequisite not paying creative work, other accompanying drawing can also be obtained according to these accompanying drawings.In the accompanying drawings:

Fig. 1 is the structural representation of the air-conditioning system electricity needs response limiting system of the embodiment of the present invention;

Fig. 2 is the basic procedure schematic diagram of air-conditioning system electricity needs response method of the present invention;

Fig. 3 is the schematic flow sheet of the air-conditioning system electricity needs response control mehtod based on cloud platform of the embodiment of the present invention;

Fig. 4 is the schematic flow sheet of the method setting up total power consumption control model in one embodiment of the invention;

Fig. 5 is the schematic flow sheet of the method setting up total power consumption control model in one embodiment of the invention;

Fig. 6 is the schematic flow sheet of the method setting up total power consumption control model in one embodiment of the invention;

Fig. 7 is the schematic flow sheet of the method setting up total power consumption control model in one embodiment of the invention;

Fig. 8 is the schematic flow sheet of the method setting up total power consumption control model in one embodiment of the invention;

Fig. 9 is the schematic flow sheet of the air-conditioning system electricity needs response control mehtod based on cloud platform of one embodiment of the invention.

Embodiment

For making the object of the embodiment of the present invention, technical scheme and advantage clearly understand, below in conjunction with accompanying drawing, the embodiment of the present invention is described in further details.At this, schematic description and description of the present invention is for explaining the present invention, but not as a limitation of the invention.

Fig. 1 is the structural representation of the air-conditioning system electricity needs response limiting system of the embodiment of the present invention.As shown in Figure 1, the system of the embodiment of the present invention can comprise: cloud platform 100, power network dispatching system 200, multiple air-conditioning system 300, indoor temperature and humidity sensor 500 and network 600.Wherein, cloud platform 100 is connected to obtain dispatching of power netwoks instruction with power network dispatching system 200, be connected to obtain the relevant information of air-conditioning equipment with multiple air-conditioning system 300 and control the running status of air-conditioning system, be connected to obtain indoor temperature and humidity with indoor temperature and humidity sensor 500, be connected to obtain network related information with network 600, such as the information such as outdoor temperature humidity, air-conditioning state.Database 101 and control strategy engine 102 can be comprised in cloud platform 100, wherein, database 101 can be used for storing the information such as various Controlling model, dispatching of power netwoks director data and air-conditioning system service data, and control strategy engine 102 can be used for the control responded the electricity needs of air-conditioning system 300.

The invention provides a kind of air-conditioning system electricity needs response method based on cloud platform.Fig. 2 is the basic procedure schematic diagram of air-conditioning system electricity needs response method of the present invention, as shown in Figure 2, the method can set up total power consumption control model according to information such as the indoor and outdoor humiture/weather information of dispatching of power netwoks instruction, air-conditioning system and air-conditioning system operational factors, and it is interval in conjunction with the indoor comfort degree corresponding to air-conditioning system, calculate controling parameters or the controling parameters change curve of the air-conditioning system that cloud platform connects according to this total power consumption control model, finally control the electricity needs response of air-conditioning according to this controling parameters or controling parameters change curve.

Fig. 3 is the schematic flow sheet of the air-conditioning system electricity needs response control mehtod based on cloud platform of the embodiment of the present invention.As shown in Figure 3, air-conditioning system electricity needs response control mehtod of the present invention based on cloud platform be connected with at least one air-conditioning system, the method can comprise step:

S110: according to a dispatching of power netwoks instruction, determines maximum total electricity consumption value of all described air-conditioning systems;

S120: according to indoor objects temperature and the humidity of described air-conditioning system, sets up power consumption and its architecture indoor humiture relational model of described air-conditioning system;

S130: based on the structure of described building, indoor environment and described air-conditioning system separately to the indoor temperature and humidity contribution data of described building, set up architecture noumenon model, to calculate the indoor temperature and humidity of dynamic change;

S140: set warm and humid comfort level in conjunction with the power consumption of described maximum total electricity consumption value, described air-conditioning system and its architecture indoor humiture relational model, described architecture noumenon model and interval, set up total power consumption control model of all described air-conditioning systems;

S150: the warm and humid data of real-time indoor and outdoor of the real time execution parameter of described air-conditioning system, the real-time power load of described air-conditioning system and described building are inputted described total power consumption control model respectively, calculate the controling parameters change curve of described air-conditioning system, and control the electricity needs response of described air-conditioning system according to described controling parameters change curve.

In above-mentioned steps S110, this dispatching of power netwoks instruction can be the actual electric network dispatch command from power network dispatching system, or according to the prediction dispatching of power netwoks instruction that multiple historical data obtains.Determining maximum total electricity consumption value according to this dispatching of power netwoks instruction, is all described air-conditioning systems electricity consumption upper limit when carrying out electricity needs response.This maximum total electricity consumption value can represent with power, the electricity of such as unit hour, or can represent with the total electricity consumption in the electric power demand response period.This dispatching of power netwoks instruction can comprise the various information such as electricity price, period, scheduling instance and maximum power consumption/power particularly, specifically can optionally select.

In above-mentioned steps S120, the power consumption of this air-conditioning system and its architecture indoor humiture relational model can refer to the architecture indoor temperature of above-mentioned air-conditioning system to remain on a target temperature, when humidity remains on a target humidity, the minimum power consumption needed for this air-conditioning system.Such as, in the power consumption of described air-conditioning system and its architecture indoor humiture relational model, power consumption can comprise: refrigeration unit power consumption, freezing cooling-water pump power consumption, electricity used for cooling tower and tail-end blower fan power consumption.Concrete considered power consumption can be determined according to the actual conditions of air-conditioning system.This power consumption can be power consumption or energy consumption.

In above-mentioned steps S130, the structure of this building, this indoor environment and this air-conditioning system three indoor temperature and humidity on building all may have impact.The structure of above-mentioned building can refer to that structure (as door, window), space size and the building materials etc. built at above-mentioned air-conditioning system place affect the architecture noumenon factor of indoor temperature and humidity; Above-mentioned indoor environment can refer to the indoor temperature and humidity such as indoor temperature, source of heat release influence factor; The influence factor of this air-conditioning system to the indoor temperature and humidity of building can comprise fan coil heat radiation, new distinguished and admirable speed, the new factor such as wind leaving air temp and recirculating air leaving air temp.

In above-mentioned steps S130, above-mentioned obtained architecture noumenon model can be the dynamic change equation of temperature and the dynamic change equation of humidity.This architecture noumenon model considers the factors that buildings, environment and air-conditioning system etc. affect indoor temperature and humidity, comparatively tallies with the actual situation.

In above-mentioned steps S140, the requirement of dispatching of power netwoks instruction is considered by this maximum total electricity consumption value, the needs of users'comfort are considered by the warm and humid comfort level interval of this setting, according to the power consumption of above-mentioned air-conditioning system and its architecture indoor humiture relational model and above-mentioned architecture noumenon model, can consider in dispatching of power netwoks instruction and comfort level situation obtain comparatively accurately, rational total power consumption control model.Utilize this total power consumption control model can also obtain rational Air-condition system control Parameters variation curve.

In above-mentioned steps S140, comfort level interval can relate to various comfort quantity, such as temperature, humidity, custom, gas concentration lwevel etc., in the embodiment of the present invention, main consideration temperature and humidity, in other embodiments, can optionally, other be selected to need the factor considered to carry out electricity needs response.Above-mentioned setting warm and humid comfort level interval can be that the warm and humid comfort level of indoor environment corresponding to each air-conditioning system is interval.What deserves to be explained is, can refer to temperature and humidity about the description of " warm and humid " in various embodiments of the present invention, such as humiture can refer to temperature and humidity, and warm and humid comfort level interval can refer to that temperature pleasant degree is interval and humidity comfort level is interval.

Above-mentioned air-conditioning system, such as heavy construction central air conditioner, domestic air conditioning, industrial air-conditioning, according to the demand of its type and/or user, can arrange the warm and humid comfort level of above-mentioned setting interval.The comfort level of heavy construction central air conditioner and domestic air conditioning is interval can be determined according to the comfort level interval of ASHREA issue or national building energy conservation national standard etc., or interval according to user's request self-defined easy adaptive; The comfort level interval of industrial air-conditioning can define according to industrial process demand.

In above-mentioned steps S150, the warm and humid data of real-time indoor and outdoor of the real time execution parameter of this air-conditioning system, the real-time power load of described air-conditioning system and described building, be the various data for calculations of air conditioner system controling parameters obtained from air-conditioning system, specifically can depend on the needs.The real time execution parameter of this air-conditioning system can comprise: the state/start and stop of air-conditioning system, power consumption, chilled water temperature, flow, unit load rate, the parameter such as air-conditioner set air quantity and leaving air temp, Fresh air handling units air quantity and leaving air temp.The parameter of air-conditioning system can be saved to cloud platform, to transfer when needs.In addition, cloud platform is utilized can to control the parameter such as start and stop, chilled water temperature/unit load rate of air-conditioning system.

Such as, the controling parameters of above-mentioned air-conditioning system can comprise: one or more in the air quantity of the air quantity of the blower fan start and stop state of the start and stop state of described air-conditioning system, chilled water temperature, unit load rate, chilled-water flow, cooling water flow, cooling tower, the air quantity of air-conditioner set, fan coil, Fresh air handling units leaving air temp and Fresh air handling units.

The embodiment of the present invention, can carry out the electricity needs response limiting of multiple air-conditioning system based on cloud platform, multiple air-conditioning system can be made mutually to coordinate, not only can complete dispatching of power netwoks instruction, and can ensure users'comfort demand.In the embodiment of the present invention, total power consumption control model summation of all described air-conditioning systems considers the various factors such as dispatching of power netwoks instruction, power consumption and its architecture indoor humiture relation, architecture noumenon and warm and humid comfort level interval, when meeting dispatching of power netwoks requirement and meet users'comfort demand as far as possible, the power consumption of air-conditioning system effectively can be reduced.

In an embodiment, above-mentioned dispatching of power netwoks instruction can be the actual electric network dispatch command directly obtained from a power network dispatching system, now, above-mentioned power network dispatching system is needed to be connected with above-mentioned cloud platform, so that this actual electric network dispatch command is sent to above-mentioned cloud platform.

Initial time a period of time that the acquisition time of above-mentioned actual electric network dispatch command can respond early than the electricity needs of above-mentioned air-conditioning system, or close to the initial time that the electricity needs of above-mentioned air-conditioning system responds.

In an embodiment, the difference of the initial time that the acquisition time of above-mentioned actual electric network dispatch command can respond with the electricity needs of above-mentioned air-conditioning system is less than or equal to a setting-up time, such as ten minutes or half an hour, the i.e. acquisition time of the actual electric network dispatch command initial time that can respond close to the electricity needs of above-mentioned air-conditioning system.The power consumption of cloud platform by built-in each air-conditioning system and the relational model of its architecture indoor humiture, in described each air-conditioning system respective chamber/chambers, in warm and humid comfort level interval, cooperate optimization is carried out to the controling parameters of each air-conditioning system, find meet dispatching of power netwoks demand simultaneously all systems remain on the control strategy in comfort level interval.

Fig. 4 is the schematic flow sheet of the method setting up total power consumption control model in one embodiment of the invention.As shown in Figure 4, the initial time that the acquisition time of actual electric network dispatch command can respond close to the electricity needs of above-mentioned air-conditioning system, above-mentioned total power consumption control model can meet simultaneously: the indoor objects humiture of above-mentioned building is positioned at above-mentioned setting warm and humid comfort level interval and the total electricity consumption of all above-mentioned air-conditioning systems is less than this maximum total electricity consumption value, in above-mentioned steps S140, in conjunction with this maximum total electricity consumption value, the power consumption of above-mentioned air-conditioning system and its architecture indoor humiture relational model, above-mentioned architecture noumenon model and the warm and humid comfort level interval of a setting, set up the method for total power consumption control model of all above-mentioned air-conditioning systems, can step be comprised:

S1411: according to power consumption and its architecture indoor humiture relational model of described air-conditioning system, set up the total electricity consumption objective function of all described air-conditioning systems;

S1412: according to described architecture noumenon model and the warm and humid comfort level interval of described setting, set up the indoor temperature and humidity constraint function of described building;

S1413: with described maximum total electricity consumption value for maximal value, based on power consumption and its architecture indoor humiture relational model of described air-conditioning system, sets up the total electricity consumption constraint function of all described air-conditioning systems;

S1414: in conjunction with described total electricity consumption objective function, described indoor temperature and humidity constraint function and described total electricity consumption constraint function, generates described total power consumption control model.

In above-mentioned steps S1411, minimum total electricity consumption in this total electricity consumption objective function can refer to the minimum total electricity consumption of all air-conditioning systems in the unit interval, correspondingly, in above-mentioned steps S1413, this maximum total electricity consumption value can be the maximum total electricity consumption that power supply grid in the unit interval allows all air-conditioning systems.

In the embodiment of the present invention, indoor temperature and humidity constraint function and total electricity consumption constraint function can be used for the controling parameters seeking the air-conditioning system simultaneously meeting dispatching of power netwoks command request and the requirement of users'comfort interval, total electricity consumption objective function can meet in the controling parameters that both above-mentioned dispatching of power netwoks instruction and comfort level require at acquired many groups, selects the controling parameters of the air-conditioning system that power consumption is minimum further.

In a specific embodiment, for actual electric network dispatch command, obtain dispatching of power netwoks instruction time and air-conditioning system electricity needs response time close to time, the total power consumption control model utilizing the method shown in Fig. 4 to obtain can be:

$\min Pe=\underset{j=1}{\overset{m}{\&Sigma;}}{\mathrm{Pe}}_j$ Or $\min Ce=\underset{j=1}{\overset{m}{\&Sigma;}}{\mathrm{Ce}}_j,---\left(1\right)$

T _pj,H _dj∈S _j，(2)

$Pe=\underset{j=1}{\overset{m}{\&Sigma;}}{\mathrm{Pe}}_j<Pe\max .---\left(3\right)$

Wherein, in formula (1), (representing with the total electricity consumption of all air-conditioning systems of unit interval) and (representing with total electricity consumption electricity charge of all air-conditioning systems of unit interval) is the total electricity consumption objective function obtained by above-mentioned steps S1411; Formula (2) is the indoor temperature and humidity constraint function of the building obtained by above-mentioned steps S1412; Formula (3) is the total electricity consumption constraint function of all air-conditioning systems obtained by above-mentioned steps S1413.Pe is the total electricity consumption of all above-mentioned air-conditioning systems in the unit interval; J is the sequence number of air-conditioning system, j>=1, and j is positive integer; M is the number of air-conditioning system, m>=1, and m is positive integer; Pe _jit is the power consumption of air-conditioning system j in the unit interval; T _pjit is the architecture indoor temperature of air-conditioning system j; Ce is total electricity charge that in the unit interval, all described air-conditioning systems use; Ce _jthe electricity charge that in the unit interval, air-conditioning system j uses; H _djthe architecture indoor humidity of air-conditioning system j; S _jthe warm and humid comfort level of setting being air-conditioning system j is interval; Pemax is maximum total electricity consumption value of all described air-conditioning systems in the unit interval.

What deserves to be explained is, in various embodiments of the present invention, the power consumption Pe of air-conditioning system j _j, total electricity consumption Pe and maximum total electricity consumption value Pemax can the power consumption of air-conditioning system in the representation unit time, i.e. power consumption, also can represent the power consumption in whole electricity needs response time section; Similarly, the electricity charge Ce of total electricity charge Ce and air-conditioning system j use _jcan the electricity consumption electricity charge of air-conditioning system in the representation unit time, also can represent the electricity consumption electricity charge in whole electricity needs response time section.The concrete metering method of above-mentioned electricity or the electricity charge, can depend on the needs.

In an embodiment, utilize total power consumption control model of the gained of method shown in Fig. 4, in above-mentioned steps S150, during the controling parameters of calculations of air conditioner system, for nothing separates situation, namely above-mentioned total power consumption control model can not meet simultaneously: the indoor objects humiture of described building is positioned at described setting warm and humid comfort level interval and the total electricity consumption of all described air-conditioning systems is less than described maximum total electricity consumption value.Now, preferably, preferentially meet dispatching of power netwoks command request, then seek the Air-condition system control parameter that comfort level requires closest to users'comfort.

Fig. 5 is the schematic flow sheet of the method setting up total power consumption control model in one embodiment of the invention.As shown in Figure 5, the difference of the initial time that the acquisition time of above-mentioned actual electric network dispatch command and the electricity needs of described air-conditioning system respond is less than or equal to a setting-up time, namely close in situation, described total power consumption control model meets simultaneously: the indoor objects humiture of described building is positioned at outside described setting warm and humid comfort level interval and the total electricity consumption of all described air-conditioning systems is less than described maximum total electricity consumption value, in above-mentioned steps S140, in conjunction with described maximum total electricity consumption value, the power consumption of described air-conditioning system and its architecture indoor humiture relational model, described architecture noumenon model and the warm and humid comfort level interval of a setting, set up the method for total power consumption control model of all described air-conditioning systems, can step be comprised:

S1415: according to described architecture noumenon model and the warm and humid comfort level interval of described setting, set up the minimum objective function departing from the warm and humid comfort level interval of described setting of indoor temperature and humidity of described building;

S1416: with described maximum total electricity consumption value for maximal value, based on power consumption and its architecture indoor humiture relational model of described air-conditioning system, sets up the total electricity consumption constraint function of all described air-conditioning systems;

S1417: depart from the objective function in described setting warm and humid comfort level interval and described total electricity consumption constraint function in conjunction with minimum, sets up the total power consumption control model preferentially meeting described total electricity consumption constraint function.

In above-mentioned steps S1416, total electricity consumption in this total electricity consumption constraint function can refer to the total electricity consumption of all air-conditioning systems in the unit interval, correspondingly, this maximum total electricity consumption value can refer to that in the unit interval, power supply grid allows the maximum total electricity consumption of all air-conditioning systems.

In the embodiment of the present invention, above-mentioned total power consumption control model can not meet warm and humid comfort level simultaneously and require and power scheduling command request, the requirement of dispatching of power netwoks instruction preferentially can be met by the total electricity consumption constraint function of all air-conditioning systems, by the minimum objective function departing from the warm and humid comfort level interval of this setting of indoor temperature and humidity of building, can when meeting the requirement of dispatching of power netwoks instruction, seek closest to the warm and humid comfort level silicon carbide of this setting and humidity, improve the warm and humid comfort level in indoor of user as far as possible.What deserves to be explained is, power scheduling instruction and dispatching of power netwoks instruction can have identical meaning.

In a specific embodiment, for actual electric network dispatch command, when preferentially meeting dispatching of power netwoks command request and meet the warm and humid comfort level of user as far as possible, the total power consumption control model utilizing the method shown in Fig. 5 to obtain can be:

minρ((T _pj,H _dj),S _j)，(4)

$Pe=\underset{j=1}{\overset{m}{\&Sigma;}}{\mathrm{Pe}}_j<Pe\max .---\left(5\right)$

Wherein, formula (4) is the minimum objective function departing from the warm and humid comfort level interval of described setting of indoor temperature and humidity of the building obtained by above-mentioned steps S1415, and formula (5) is the total electricity consumption constraint function of all described air-conditioning system obtained by above-mentioned steps S1416; T _pjit is the architecture indoor temperature of air-conditioning system j; H _djthe architecture indoor humidity of air-conditioning system j; S _jthe warm and humid comfort level of setting being air-conditioning system j is interval; Pe is the total electricity consumption of all described air-conditioning systems in the unit interval; J is the sequence number of air-conditioning system, j>=1, and j is positive integer; M is the number of air-conditioning system, m>=1, and m is positive integer; Pe _jthe power of air-conditioning system j in the unit interval; Pemax is maximum total electricity consumption value of all described air-conditioning systems in the unit interval; ρ is that architecture indoor humiture departs from the interval S of the warm and humid comfort level of setting _jfunction.

Similarly, the power consumption Pe of above-mentioned air-conditioning system j _j, total electricity consumption Pe and maximum total electricity consumption value Pemax can the power consumption of air-conditioning system in the representation unit time, i.e. power consumption, also can represent the power consumption in whole electricity needs response time section, concrete metering method, can depend on the needs.

In another embodiment, the difference of the initial time that the acquisition time of above-mentioned actual electric network dispatch command and the electricity needs of above-mentioned air-conditioning system respond is greater than a setting-up time, such as ten minutes, half an hour or one hour, now, above-mentioned total power consumption control model can consider the cold-storage ability of the water system of above-mentioned air-conditioning system and the body of described building.Due to the water system of air-conditioning system and the cold-storage ability of architecture noumenon, can after acquisition dispatching of power netwoks instruction and before air-conditioning electric power demand response starts, regulate the running status of air-conditioning system in advance, to reduce the electricity charge of air-conditioning system further when taking into account user's indoor temperature and humidity demand.Such as, air-conditioning system changes unit load or quit work a period of time, architecture indoor temperature and humidity still can in comfort level interval or near maintain a period of time.

In an embodiment, when the difference of the initial time that the acquisition time of above-mentioned actual electric network dispatch command and the electricity needs of above-mentioned air-conditioning system respond is greater than a setting-up time, described total power consumption control model can meet simultaneously: the indoor objects humiture of described building is positioned at described setting warm and humid comfort level interval and the total electricity consumption of all described air-conditioning systems is less than described maximum total electricity consumption value, and the method generating total electricity consumption Controlling model can have similar step to method shown in Fig. 4.

Difference both it is, for the situation that the initial time of electricity needs response shifts to an earlier date, due to the cold-storage ability of the body of the water system and described building that consider above-mentioned air-conditioning system, the total electricity consumption objective function of all above-mentioned air-conditioning systems can be an integral model; And for the close situation of the acquisition time of initial time and the actual electric network dispatch command of electricity needs response, owing to not considering above-mentioned cold-storage ability, the total electricity consumption objective function of all above-mentioned air-conditioning systems can be a model of suing for peace.

Fig. 6 is the schematic flow sheet of the method setting up total power consumption control model in one embodiment of the invention.As shown in Figure 6, for an actual electric network dispatch command, after considering the cold-storage ability of the water system of above-mentioned air-conditioning system and the body of described building, when can meet the requirement of warm and humid comfort level and dispatching of power netwoks command request simultaneously, set up the method for total power consumption control model, can step be comprised:

S1421: according to power consumption and its architecture indoor humiture relational model of described air-conditioning system, set up the total electricity consumption objective function of all described air-conditioning systems, wherein, described total electricity consumption objective function is an integral model;

S1422: according to described architecture noumenon model and the warm and humid comfort level interval of described setting, set up the indoor temperature and humidity constraint function of described building;

S1423: with described maximum total electricity consumption value for maximal value, based on power consumption and its architecture indoor humiture relational model of described air-conditioning system, sets up the total electricity consumption constraint function of all described air-conditioning systems;

S1424: in conjunction with described total electricity consumption objective function, described indoor temperature and humidity constraint function and described total electricity consumption constraint function, generates described total power consumption control model.

In above-mentioned steps S1421, the minimum total electricity consumption in this total electricity consumption objective function can refer to through all dispatchings of power netwoks time period/air-conditioning system electricity needs response time section after the total electricity consumption of all air-conditioning systems.In above-mentioned steps S1423, this maximum total electricity consumption value can refer to that in the unit interval, power supply grid allows the maximum total electricity consumption of all air-conditioning systems.

In the embodiment of the present invention, the total electricity consumption objective function considering all described air-conditioning systems after cold-storage ability can be represented more accurately by integral model.By above-mentioned total power consumption control model can calculate air-conditioning system carry out electricity needs response start between the situation of change of its controling parameters, thus, can regulate and control the running status of air-conditioning system ahead of time, regulate and control better within the electricity needs response period to make air-conditioning system.

Such as, in summer, within two hours, obtain above-mentioned actual electric network dispatch command in advance, this actual electric network dispatch command can be improve electricity price in a hour after electricity needs response starts.Now, in two hours of shifting to an earlier date, the new air temperature provided of air-conditioning system can be reduced as far as possible in temperature pleasant degree interval, and closed in one hour of electricity needs response or raise the new air temperature that provides of air-conditioning system as far as possible.Because indoor temperature is lower before, even if close air-conditioning within the electricity needs response period, due to above-mentioned cold-storage ability, also can ensure the comfort level of indoor temperature, meanwhile, also avoid and use the high price of electricity needs response period to power.Thus reach the beneficial effect meeting dispatching of power netwoks command request, improve indoor temperature and humidity comfort level and reduction electricity cost.

In a specific embodiment, for an actual electric network dispatch command, after considering above-mentioned cold-storage ability, when meeting the requirement of warm and humid comfort level and power scheduling command request, the total power consumption control model obtained by the method shown in Fig. 6 be can be simultaneously:

$min\left({\&Integral;}_{t_0}^{t_e}{\mathrm{Pe}}^{t}dt\right)$ Or $min\left({\&Integral;}_{t_0}^{t_e}{\mathrm{Ce}}^{t}dt\right),---\left(6\right)$

Wherein, ${\mathrm{Pe}}^t=\underset{j=1}{\overset{m}{\&Sigma;}}{{\mathrm{Pe}}_j}^t,{\mathrm{Ce}}^t=\underset{j=1}{\overset{m}{\&Sigma;}}{{\mathrm{Ce}}_j}^t,$

$T_{pj}^t,H_{dj}^t\&Element;S_j,---\left(7\right)$

${\mathrm{Pe}}^t<{\mathrm{Pe}}_{max}^t,---\left(8\right)$

Wherein, t _s< t < t _e.

In above-mentioned formula (6), (power consumption represents) and (energy charge represents) is the integral model of total electricity consumption objective function and total electricity consumption electricity charge objective function respectively; Formula (7) is the indoor temperature and humidity constraint function of described building; Formula (8) is the total electricity consumption constraint function of all described air-conditioning systems, and available electric power represents; t ₀it is the acquisition time of dispatching of power netwoks instruction; t _eit is the end time of air-conditioning system electricity needs response; T represents the moment; t _sit is the initial time of the electricity needs response of described air-conditioning system; Pe ^tit is total electric power of all described air-conditioning systems of t; Ce ^ttotal electricity charge that all described air-conditioning systems use within the unit interval of t; J is the sequence number of air-conditioning system, j>=1, and j is positive integer; M is the number of air-conditioning system, m>=1, and m is positive integer; it is the electric power of t air-conditioning system j; the electricity charge that air-conditioning system j uses within the unit interval of t; it is the architecture indoor temperature of t air-conditioning system j; the architecture indoor humidity of t air-conditioning system j; S _jthe warm and humid comfort level of setting being air-conditioning system j is interval; it is maximum total electric power that all described air-conditioning systems use within the unit interval of t.

When the difference of the initial time that the acquisition time of above-mentioned actual electric network dispatch command and the electricity needs of above-mentioned air-conditioning system respond is greater than a setting-up time, utilize total power consumption control model of the gained of method shown in Fig. 6, in above-mentioned steps S150, during the controling parameters of calculations of air conditioner system, for nothing separates situation, namely above-mentioned total power consumption control model can not meet simultaneously: the indoor objects humiture of described building is positioned at described setting warm and humid comfort level interval and the total electricity consumption of all described air-conditioning systems is less than described maximum total electricity consumption value.Now, the total power consumption control model of method establishment be similar to shown in Fig. 5 can be adopted, namely preferentially meet dispatching of power netwoks command request, then seek the Air-condition system control parameter that comfort level requires closest to users'comfort.

When the difference of the initial time that the acquisition time of above-mentioned actual electric network dispatch command and the electricity needs of above-mentioned air-conditioning system respond is greater than a setting-up time, described total power consumption control model meets simultaneously: the indoor objects humiture of described building is positioned at outside described setting warm and humid comfort level interval and the total electricity consumption of all described air-conditioning systems is less than described maximum total electricity consumption value, and the method setting up total power consumption control model can have similar step to Fig. 5.Difference is, for the situation obtaining dispatching of power netwoks instruction in advance, due to the cold-storage ability of the water system and architecture noumenon that consider above-mentioned air-conditioning system, the minimum objective function departing from the warm and humid comfort level interval of described setting of indoor temperature and humidity of building can be an integral model, and for obtaining the situation of dispatching of power netwoks instruction time close to the air-conditioning system electricity needs response time, in above-mentioned steps S1415, the minimum objective function departing from the warm and humid comfort level interval of described setting of the indoor temperature and humidity of described building can be a summation model.

Fig. 7 is the schematic flow sheet of the method setting up total power consumption control model in one embodiment of the invention.As shown in Figure 7, for an actual prediction dispatching of power netwoks instruction, after considering above-mentioned cold-storage ability, when dispatching of power netwoks command request can be met but can not meet the requirement of warm and humid comfort level interval, set up the method for total power consumption control model, can step be comprised:

S1425: according to described architecture noumenon model and the warm and humid comfort level interval of described setting, set up the minimum objective function departing from the warm and humid comfort level interval of described setting of indoor temperature and humidity of described building, wherein, the minimum objective function departing from the warm and humid comfort level interval of described setting of the indoor temperature and humidity of described building is an integral model;

S1426: with described maximum total electricity consumption value for maximal value, based on power consumption and its architecture indoor humiture relational model of described air-conditioning system, sets up the total electricity consumption constraint function of all described air-conditioning systems;

S1427: depart from the objective function in described setting warm and humid comfort level interval and described total electricity consumption constraint function in conjunction with minimum, sets up the total power consumption control model preferentially meeting described total electricity consumption constraint function.

In above-mentioned steps S1426, the total electricity consumption in this total electricity consumption constraint function can refer to the total electricity consumption of all air-conditioning systems in the unit interval, and correspondingly, this maximum total electricity consumption value can refer to that in the unit interval, power supply grid allows the total electricity consumption of all air-conditioning systems.

In the embodiment of the present invention, after the consideration water system of air-conditioning system and the cold-storage ability of architecture noumenon can being represented more accurately by integral model, the minimum objective function departing from the warm and humid comfort level interval of described setting of the indoor temperature and humidity of described building, thus obtain following Air-condition system control parameter accurately.

In a specific embodiment, by the method shown in Fig. 7, obtain preferentially meet dispatching of power netwoks command request and at utmost meet the warm and humid comfort level of user require total power consumption control model can be:

$min{\&Integral;}_{t_0}^{t_e}\mathrm{\&rho;}\left(\right(T_{pj}^t,H_{dj}^t),S_j)dt,---\left(9\right)$

${\mathrm{Pe}}^t<{\mathrm{Pe}}_{max}^t,---\left(10\right)$

Wherein, t _s< t < t _e.

Formula (9) is the minimum integral model departing from the objective function in the warm and humid comfort level interval of described setting of the indoor temperature and humidity of described building; Formula (10) is the total electricity consumption constraint function of all described air-conditioning systems; it is the architecture indoor temperature of t air-conditioning system j; the architecture indoor humidity of t air-conditioning system j; ρ is that architecture indoor humiture departs from the interval S of the warm and humid comfort level of setting _jfunction; S _jthe warm and humid comfort level of setting being air-conditioning system j is interval; Pe ^tit is the total electricity consumption of all described air-conditioning systems within the unit interval of t; it is maximum total electricity consumption value of all described air-conditioning systems within the unit interval of t; t ₀it is the acquisition time of dispatching of power netwoks instruction; t _eit is the end time of air-conditioning system electricity needs response; T represents the moment; t _sit is the initial time of the electricity needs response of described air-conditioning system.What deserves to be explained is, the power consumption in the unit interval and power have identical meaning.

Dispatching of power netwoks instruction in the various embodiments described above can for the actual electric network dispatch command obtained from power network dispatching system.In order to effect electricity needs better, in other embodiments, can predict the dispatch command of power network dispatching system, and utilize prediction dispatching of power netwoks instruction to control the running status of air-conditioning system.So above-mentioned dispatching of power netwoks instruction can be prediction dispatching of power netwoks instruction.By predicting the dispatch command of power network dispatching system, multiple prediction dispatching of power netwoks instruction can be obtained, different prediction dispatching of power netwoks instructions has respective probability of happening, and now, above-mentioned each air-conditioning system can carry out electricity needs response according to multiple prediction dispatching of power netwoks instruction.

In an embodiment, above-mentioned prediction dispatching of power netwoks instruction, can comprise scheduling time, scheduling load and dispatch command probability of occurrence, can be generated by a network load forecast model.Wherein, this network load forecast model can be the empirical model according to history network load and time relation data, history network load and electricity price relation data and history network load and the matching of weather environment relation data.Can calculate according to weather information physically based deformation model for renewable energy power generation amount.Consider above-mentioned factor and data can carry out the branch prediction that electrical network carries out scheduling adjustment.In other embodiments, other electrical network forecast models also can be adopted to predict network load and scheduling.

Network load forecast model can be consumed the electric power of network load and the difference of distributed energy generated output.The factors such as electric power and time, electricity price, environment (temperature, humidity) that user consumes are relevant, and distributed power generation power can comprise internal combustion engine generating, solar electrical energy generation, wind-power electricity generation etc.Wherein, solar electrical energy generation, wind-power electricity generation are relevant with the environmental factor such as illumination, wind speed, change greatly, therefore, network load in network load forecast model of the present invention can be the function of time, electricity price, environment temperature, ambient humidity, illumination, wind-force, that is:

Q＝f(t,Ct,Tp,Hd,Rd,Fv)。

Wherein, Q is network load, and t is the moment, and Ct is the electricity price in this moment, and Tp is environment temperature, and Hd is ambient humidity, and Rd is illumination, and Fv is wind-force.

Mains supply can limit by generator peak power, the maximum bearing load amount of power transmission and transforming equipment.When mains supply cannot meet network load, needs carry out dispatching of power netwoks, and therefore, dispatching of power netwoks appears at electric load and exceedes on a certain amount of basis.Therefore, dispatching of power netwoks instruction also can be expressed as the probability function of moment, electricity price, environment temperature, ambient humidity, illumination, wind-force.The probability density function that the network load x that cannot meet in following t occurs can be expressed as: Pt (x)=f (t, Ct, Tp, Hd, Rd, Fv).According to actual in historical data, this probability function Pt (x) can occur that dispatching of power netwoks instruction and environmental information are carried out Model Identification and obtained.

In an embodiment, can based in moment, electricity price, outdoor temperature, outside humidity, outdoor illumination and wind-force or multiparameter, according to the load data of the power supply grid of described air-conditioning system and/or the historical operating parameter data of described air-conditioning system, generate described prediction dispatching of power netwoks instruction, and calculate the probability of happening of described prediction dispatching of power netwoks instruction.With this, when generation forecast dispatching of power netwoks instruction, take into full account network load data and environmental data, the prediction accuracy of prediction dispatching of power netwoks instruction can be improved.

In an embodiment, for above-mentioned prediction dispatching of power netwoks instruction, described total power consumption control model meets simultaneously: the indoor objects humiture of described building is positioned at described setting warm and humid comfort level interval and the total electricity consumption of all described air-conditioning systems is less than described maximum total electricity consumption value, the method be similar to shown in Fig. 4 or Fig. 6 can be utilized, considering the situation of the water system of air-conditioning system and the cold-storage ability of architecture noumenon, obtain above-mentioned total power consumption control model.The difference of method shown in total power consumption control model method and Fig. 4 is obtained in the embodiment of the present invention, except being that minimum total objective function of all air-conditioning systems have employed integral model, be also that this integral model considers multiple prediction dispatching of power netwoks instruction and respective probability of happening thereof.

Fig. 8 is the schematic flow sheet of the method setting up total power consumption control model in one embodiment of the invention.As shown in Figure 8, for prediction dispatching of power netwoks instruction, meet humiture simultaneously and require and prediction dispatching of power netwoks command request, set up the method for total power consumption control model of all air-conditioning systems, can step be comprised:

S1431: according to each described probability of happening of prediction dispatching of power netwoks instruction and the power consumption of described air-conditioning system and its architecture indoor humiture relational model, set up the total electricity consumption electricity charge/electricity objective function of all described air-conditioning systems, wherein, the described total electricity consumption electricity charge/electricity objective function is an integral model;

S1432: according to described architecture noumenon model and the warm and humid comfort level interval of described setting, set up the indoor temperature and humidity constraint function of described building;

S1433: with described maximum total electricity consumption value for maximal value, based on power consumption and its architecture indoor humiture relational model of described air-conditioning system, sets up the total electricity consumption constraint function of all described air-conditioning systems;

S1434: in conjunction with the described total electricity consumption electricity charge/electricity objective function, described indoor temperature and humidity constraint function and described total electricity consumption constraint function, generate described total power consumption control model.

In above-mentioned steps S1431, the total electricity consumption electricity charge/electricity in this total electricity consumption electricity charge/electricity objective function can refer to from obtaining the total electricity charge/electricity of above-mentioned prediction dispatching of power netwoks instruction to all air-conditioning systems of air-conditioning system electricity needs response end, or can refer to the total electricity consumption electricity charge/electricity terminating all air-conditioning systems from the response of air-conditioning system electricity needs to the response of air-conditioning system electricity needs.

The embodiment of the present invention, by controlling the electricity needs response of air-conditioning system according to prediction dispatching of power netwoks instruction, while guarantee users'comfort requires, can may reduce the power consumption of air-conditioning system as far as possible.

In one embodiment, building thermal environments dynamic simulation can be carried out according to extraneous link parameter and history operation of air conditioner data, the controlling curve cooperate optimization in the time period can be carried out according to the dispatching of power netwoks time of prediction and the controling parameters of probability to cloud platform air-conditioning system.To carry out the control of air-conditioning system according to the dispatch command of electrical network, generally can cause the power consumption of air-conditioning system or the rising of expense in a period of time, this value raised is defined as power consumption Δ Pe or expense Δ Ce, then have:

ΔPe＝Pe-Pe0，

ΔCe＝Ce-Ce0。

Wherein, Pe and Ce considers total electricity consumption Pe in said method ^tconstraint condition after optimize after the result that obtains, Pe0 and Ce0 does not consider total electricity consumption Pe in said method ^tthe optimum results that obtains of constraint condition.Consider the probability distribution of forecast dispatching instruction on this basis, then can calculate in optimization and consider that air-conditioning system expense expectation value is minimum, can suppose the dispatch command situation predicting that n kind is possible, corresponding probability is P ⁱ.

In a specific embodiment, for prediction dispatching of power netwoks instruction, utilize the method shown in Fig. 8, the total power consumption control model set up can be:

$min\left(\underset{i=1}{\overset{n}{\&Sigma;}}{P}^i{\&Integral;}_{t_0}^{t_e}{\mathrm{Ce}}^{i,t}dt\right),---\left(11\right)$

$T_{p_{i,j}}^t,H_{d_{i,j}}^t\&Element;S_j,---\left(12\right)$

${\mathrm{Pe}}^{i,t}<{\mathrm{Pe}}_{\max }^{i,t},---\left(13\right)$

Wherein, t _i,s< t < t _e.

Formula (11) is the integral model of the total electricity consumption electricity charge objective function obtained by step S1431; Formula (12) is the indoor temperature and humidity constraint function of the building obtained by step S1432; Formula (13) is the total electricity consumption constraint function of all air-conditioning systems obtained by step S1433; I is the sequence number of prediction dispatching of power netwoks instruction, and 1≤i≤n, i, n are positive integer; P ⁱit is the probability of happening of prediction dispatching of power netwoks instruction i; T represents the moment; t ₀it is the acquisition moment of prediction dispatching of power netwoks instruction; t _eit is the end time of air-conditioning system electricity needs response; Ce ^i,twithin the unit interval of t and total electricity charge that all described air-conditioning systems use in prediction dispatching of power netwoks instruction i situation; it is the architecture indoor temperature of air-conditioning system j in t prediction dispatching of power netwoks instruction i situation; the architecture indoor humidity of air-conditioning system j in t prediction dispatching of power netwoks instruction i situation; S _iit is the warm and humid comfort level interval of setting in prediction dispatching of power netwoks instruction i situation; Pe ^i,tit is the total electricity consumption of all described air-conditioning systems within the unit interval of t and in prediction dispatching of power netwoks instruction i situation; it is maximum total electricity consumption value of all described air-conditioning systems within the t unit interval and in prediction dispatching of power netwoks instruction i situation; t _i,sit is initial time forecast dispatching instruction i being carried out to electricity needs response of air-conditioning system.

In other embodiments, for prediction dispatching of power netwoks instruction, when power consumption control model in the method establishment shown in Fig. 8 is without solution, the total power consumption control model can set up according to the method similar with Fig. 7, to control when satisfied prediction dispatching of power netwoks command request, meet the warm and humid comfort level requirement of user as far as possible, do not repeat them here.

The power consumption of air-conditioning system and its architecture indoor humiture relational model can refer to, make the minimum power consumption of air-conditioning system power consumption and humiture relational model under architecture indoor being remained on uniform temperature and humidity.

In the various embodiments described above, when not considering cold-storage factor, above-mentioned air-conditioning system power consumption and its architecture indoor humiture relational model can be:

Pe ^j＝min(P ^j _chiller+P ^j _pump+P ^j _tower+P ^j _fan)，(14)

s.t.T ^j _p≤T ^j _p0，H ^j _d≤H ^j _d0。

In formula (14), Pe ^jrefer to the power consumption of air-conditioning system j; P ^j _chillerit is the refrigeration unit power consumption of air-conditioning system j; P ^j _pumpit is the freezing cooling-water pump power consumption of air-conditioning system j; P ^j _towerit is the electricity used for cooling tower of air-conditioning system j; P ^j _fanit is the tail-end blower fan power consumption of air-conditioning system j; S.t. represent and be tied; T ^j _pit is the architecture indoor temperature of air-conditioning system j; T ^j _p0it is the architecture indoor target temperature of air-conditioning system j; H ^j _dthe architecture indoor humidity of air-conditioning system j; H ^j _d0it is the architecture indoor target humidity of air-conditioning system j.Above-mentioned each power consumption and power consumption available horsepower or power consumption metering.

When considering cold-storage factor, power consumption and its architecture indoor humiture relational model of above-mentioned air-conditioning system can be:

$min\underset{t=0}{\overset{t=t_e}{\&Integral;}}({P^{j,t}}_{chiller}+{P^{j,t}}_{pump}+{P^{j,t}}_{tower}+{P^{j,t}}_{fan})dt,---\left(15\right)$

s.t.T ^j _p≤T ^j _p0，H ^j _d≤H ^j _d0；

Or $min\underset{t=0}{\overset{t=t_e}{\&Integral;}}({P^{j,t}}_{chiller}+{P^{j,t}}_{pump}+{P^{j,t}}_{tower}+{P^{j,t}}_{fan})\&CenterDot;C^{t}dt,---\left(16\right)$

s.t.T ^j _p≤T ^j _p0，H ^j _d≤H ^j _d0。

Wherein, j is the sequence number of air-conditioning system, j>=1, and j is positive integer; Formula (15) is through electricity needs response time t _eair-conditioning system j power consumption; T is the response moment of air-conditioning system j; t _eit is the end time of air-conditioning system j electricity needs response; P ^j,t _chillerit is the refrigeration unit power consumption of air-conditioning system j within the unit interval of t; P ^j,t _pumpit is the freezing cooling-water pump power consumption of air-conditioning system j within the unit interval of t; P ^j,t _towerit is the electricity used for cooling tower of air-conditioning system j within the unit interval of t; P ^j,t _fanit is the tail-end blower fan power consumption of air-conditioning system j within the unit interval of t; S.t. represent and be tied; T ^j _pit is the architecture indoor temperature of air-conditioning system j; T ^j _p0it is the architecture indoor target temperature of air-conditioning system j; H ^j _dthe architecture indoor humidity of air-conditioning system j; H ^j _d0it is the architecture indoor target humidity of air-conditioning system j; Formula (16) is through electricity needs response time t _etotal electricity charge that air-conditioning system j uses; C ^tit is the electricity price of t.Above-mentioned air-conditioning system each several part power consumption available horsepower or power consumption metering.

In the various embodiments described above, utilize architecture noumenon model can obtain with the structure built, indoor environment and the air-conditioning system indoor temperature of change and indoor humidity to the indoor temperature and humidity contribution data difference of described building separately.Such as, above-mentioned architecture noumenon model can be:

$CV\frac{{\mathrm{dT}}_p}{dt}={\mathrm{\&Delta;H}}_f+Q_c+Q_t+Q_i={\mathrm{CF}}_f(T_f-T_p)+{\mathrm{CF}}_c(T_c-T_p)+\mathrm{\&alpha;}(T_e-T_p)+Q_i,---\left(17\right)$

$\mathrm{\&rho;}V\frac{{\mathrm{dH}}_d}{dt}=F_f(W_f-W_b)+F_c(W_c-W_b)+w.---\left(18\right)$

In formula (17) ~ (18), C is air hot melt; V is the architecture indoor air total volume of described air-conditioning system; T _pit is the architecture indoor temperature of described air-conditioning system; T is time variable; Δ H _f=CF _f(T _f-T _p) be the new air heat-exchange amount of described air-conditioning system; Q _c=CF _c(T _c-T _p) be the indoor fan coil heat exchange amount of described air-conditioning system; Q _t=α (T _e-T _p) be the outer heat exchange amount of architecture indoor of described air-conditioning system; Q _iit is the indoor airflow heat dissipation capacity of described air-conditioning system; F _fnew distinguished and admirable speed; T _fit is new wind leaving air temp; F _cit is recirculating air flow velocity; T _cit is recirculating air leaving air temp; α is window wall integrated heat transfer coefficient; T _eit is the building outdoor temperature of described air-conditioning system; ρ is atmospheric density; V is the architecture indoor air total volume of described air-conditioning system; H _dit is the architecture indoor water capacity of described air-conditioning system; T is time variable; F _fnew distinguished and admirable speed; W _fit is new wind air-out water capacity; F _cit is recirculating air flow velocity; W _cit is recirculating air air-out water capacity; W is architecture indoor human body and the object moisture dispersed amount of described air-conditioning system.

Fig. 9 is the schematic flow sheet of the air-conditioning system electricity needs response control mehtod based on cloud platform of one embodiment of the invention.As described in Figure 9, air-conditioning system can obtain actual electric network scheduling, also can predict dispatching of power netwoks instruction.When not receiving actual electric network dispatch command, the controling parameters of each air-conditioning system in scheduling predicated response time processing completion time used for them can be arrived at present according to prediction dispatching of power netwoks command calculations, and according to the controling parameters of each air-conditioning system obtained, Air-condition system control parameter each in cloud platform is calculated in real time, wherein, the information such as indoor and outdoor humiture used during real-time calculations of air conditioner system controling parameters and air-conditioning state can Real-time Obtaining, also can be obtained by prediction.If get an actual electric network dispatch command, network related information can be obtained simultaneously, such as indoor and outdoor humiture, air-conditioning state etc., and judge that whether the time receiving this actual electric network dispatch command is early than the time requiring air-conditioning system to respond, if, then Air-condition system control parameter each in cloud platform is calculated in real time, if not, then calculate the controling parameters of time to each air-conditioning system in response end time section of this actual electric network dispatch command of reception.

Air-conditioning system electricity needs response control mehtod based on cloud platform of the present invention, by consider dispatching of power netwoks command request, the power consumption of air-conditioning system and its architecture indoor humiture relation, architecture noumenon and user warm and humid comfort level interval, coordinate the electricity consumption situation between each air-conditioning system, dispatching of power netwoks command request can be met and the warm and humid comfort level of As soon as possible Promising Policy user requires total power consumption control model, and regulated the operational factor of air-conditioning system by total power consumption control model, thus better air-conditioning system electricity needs response effect can be reached.

Those skilled in the art should understand, embodiments of the invention can be provided as method, system or computer program.Therefore, the present invention can adopt the form of complete hardware embodiment, completely software implementation or the embodiment in conjunction with software and hardware aspect.And the present invention can adopt in one or more form wherein including the upper computer program implemented of computer-usable storage medium (including but not limited to magnetic disk memory, CD-ROM, optical memory etc.) of computer usable program code.

The present invention describes with reference to according to the process flow diagram of the method for the embodiment of the present invention, equipment (system) and computer program and/or block scheme.Should understand can by the combination of the flow process in each flow process in computer program instructions realization flow figure and/or block scheme and/or square frame and process flow diagram and/or block scheme and/or square frame.These computer program instructions can being provided to the processor of multi-purpose computer, special purpose computer, Embedded Processor or other programmable data processing device to produce a machine, making the instruction performed by the processor of computing machine or other programmable data processing device produce device for realizing the function of specifying in process flow diagram flow process or multiple flow process and/or block scheme square frame or multiple square frame.

These computer program instructions also can be stored in can in the computer-readable memory that works in a specific way of vectoring computer or other programmable data processing device, the instruction making to be stored in this computer-readable memory produces the manufacture comprising command device, and this command device realizes the function of specifying in process flow diagram flow process or multiple flow process and/or block scheme square frame or multiple square frame.

These computer program instructions also can be loaded in computing machine or other programmable data processing device, make on computing machine or other programmable device, to perform sequence of operations step to produce computer implemented process, thus the instruction performed on computing machine or other programmable device is provided for the step realizing the function of specifying in process flow diagram flow process or multiple flow process and/or block scheme square frame or multiple square frame.

Above-described specific embodiment; object of the present invention, technical scheme and beneficial effect are further described; be understood that; the foregoing is only specific embodiments of the invention; the protection domain be not intended to limit the present invention; within the spirit and principles in the present invention all, any amendment made, equivalent replacement, improvement etc., all should be included within protection scope of the present invention.

Claims (10)

1., based on an air-conditioning system electricity needs response control mehtod for cloud platform, described cloud platform connects at least one air-conditioning system, it is characterized in that, comprising:

According to a dispatching of power netwoks instruction, determine maximum total electricity consumption value of all described air-conditioning systems;

According to indoor objects temperature and the humidity of described air-conditioning system, set up power consumption and its architecture indoor humiture relational model of described air-conditioning system;

Based on the structure of described building, indoor environment and described air-conditioning system separately to the indoor temperature and humidity contribution data of described building, set up architecture noumenon model, to calculate the indoor temperature and humidity of dynamic change;

Set warm and humid comfort level in conjunction with the power consumption of described maximum total electricity consumption value, described air-conditioning system and its architecture indoor humiture relational model, described architecture noumenon model and interval, set up total power consumption control model of all described air-conditioning systems;

The warm and humid data of real-time indoor and outdoor of the real time execution parameter of described air-conditioning system, the real-time power load of described air-conditioning system and described building are inputted described total power consumption control model respectively, calculate the controling parameters change curve of described air-conditioning system, and control the electricity needs response of described air-conditioning system according to described controling parameters change curve.

2. as claimed in claim 1 based on the air-conditioning system electricity needs response control mehtod of cloud platform, it is characterized in that, described dispatching of power netwoks instruction is the actual electric network dispatch command obtained from a power network dispatching system, and wherein, described cloud platform is connected with described power network dispatching system.

3. as claimed in claim 2 based on the air-conditioning system electricity needs response control mehtod of cloud platform, it is characterized in that, the difference of the initial time that the acquisition time of described actual electric network dispatch command and the electricity needs of described air-conditioning system respond is less than or equal to a setting-up time;

Described total power consumption control model meets simultaneously: the indoor objects humiture of described building is positioned at described setting warm and humid comfort level interval and the total electricity consumption of all described air-conditioning systems is less than described maximum total electricity consumption value,

Set warm and humid comfort level in conjunction with the power consumption of described maximum total electricity consumption value, described air-conditioning system and its architecture indoor humiture relational model, described architecture noumenon model and interval, set up total power consumption control model of all described air-conditioning systems, comprising:

According to power consumption and its architecture indoor humiture relational model of described air-conditioning system, set up the total electricity consumption objective function of all described air-conditioning systems;

According to described architecture noumenon model and the warm and humid comfort level interval of described setting, set up the indoor temperature and humidity constraint function of described building;

With described maximum total electricity consumption value for maximal value, based on power consumption and its architecture indoor humiture relational model of described air-conditioning system, set up the total electricity consumption constraint function of all described air-conditioning systems;

In conjunction with described total electricity consumption objective function, described indoor temperature and humidity constraint function and described total electricity consumption constraint function, generate described total power consumption control model.

4. as claimed in claim 2 based on the air-conditioning system electricity needs response control mehtod of cloud platform, it is characterized in that, the difference of the initial time that the acquisition time of described actual electric network dispatch command and the electricity needs of described air-conditioning system respond is less than or equal to a setting-up time;

Described total power consumption control model meets simultaneously: the indoor objects humiture of described building is positioned at outside described setting warm and humid comfort level interval and the total electricity consumption of all described air-conditioning systems is less than described maximum total electricity consumption value,

Set warm and humid comfort level in conjunction with the power consumption of described maximum total electricity consumption value, described air-conditioning system and its architecture indoor humiture relational model, described architecture noumenon model and interval, set up total power consumption control model of all described air-conditioning systems, comprising:

According to described architecture noumenon model and the warm and humid comfort level interval of described setting, set up the minimum objective function departing from the warm and humid comfort level interval of described setting of indoor temperature and humidity of described building;

With described maximum total electricity consumption value for maximal value, based on power consumption and its architecture indoor humiture relational model of described air-conditioning system, set up the total electricity consumption constraint function of all described air-conditioning systems;

Depart from the objective function in described setting warm and humid comfort level interval and described total electricity consumption constraint function in conjunction with minimum, set up the total power consumption control model preferentially meeting described total electricity consumption constraint function.

5. as claimed in claim 2 based on the air-conditioning system electricity needs response control mehtod of cloud platform, it is characterized in that, the difference of the initial time that the acquisition time of described actual electric network dispatch command and the electricity needs of described air-conditioning system respond is greater than a setting-up time; Described total power consumption control model considers the cold-storage ability of the water system of described air-conditioning system and the body of described building.

6. as claimed in claim 5 based on the air-conditioning system electricity needs response control mehtod of cloud platform, it is characterized in that, described total power consumption control model meets simultaneously: the indoor objects humiture of described building is positioned at described setting warm and humid comfort level interval and the total electricity consumption of all described air-conditioning systems is less than described maximum total electricity consumption value

Set warm and humid comfort level in conjunction with the power consumption of described maximum total electricity consumption value, described air-conditioning system and its architecture indoor humiture relational model, described architecture noumenon model and interval, set up total power consumption control model of all described air-conditioning systems, comprising:

According to power consumption and its architecture indoor humiture relational model of described air-conditioning system, set up the total electricity consumption objective function of all described air-conditioning systems, wherein, described total electricity consumption objective function is an integral model;

According to described architecture noumenon model and the warm and humid comfort level interval of described setting, set up the indoor temperature and humidity constraint function of described building;

With described maximum total electricity consumption value for maximal value, based on power consumption and its architecture indoor humiture relational model of described air-conditioning system, set up the total electricity consumption constraint function of all described air-conditioning systems;

In conjunction with described total electricity consumption objective function, described indoor temperature and humidity constraint function and described total electricity consumption constraint function, generate described total power consumption control model.

7. as claimed in claim 5 based on the air-conditioning system electricity needs response control mehtod of cloud platform, it is characterized in that, described total power consumption control model meets simultaneously: the indoor objects humiture of described building is positioned at outside described setting warm and humid comfort level interval and the total electricity consumption of all described air-conditioning systems is less than described maximum total electricity consumption value

Set warm and humid comfort level in conjunction with the power consumption of described maximum total electricity consumption value, described air-conditioning system and its architecture indoor humiture relational model, described architecture noumenon model and interval, set up total power consumption control model of all described air-conditioning systems, comprising:

According to described architecture noumenon model and the warm and humid comfort level interval of described setting, set up the minimum objective function departing from the warm and humid comfort level interval of described setting of indoor temperature and humidity of described building, wherein, the minimum objective function departing from the warm and humid comfort level interval of described setting of the indoor temperature and humidity of described building is an integral model;

With described maximum total electricity consumption value for maximal value, based on power consumption and its architecture indoor humiture relational model of described air-conditioning system, set up the total electricity consumption constraint function of all described air-conditioning systems;

Depart from the objective function in described setting warm and humid comfort level interval and described total electricity consumption constraint function in conjunction with minimum, set up the total power consumption control model preferentially meeting described total electricity consumption constraint function.

8. as claimed in claim 1 based on the air-conditioning system electricity needs response control mehtod of cloud platform, it is characterized in that, described dispatching of power netwoks instruction is prediction dispatching of power netwoks instruction; Described air-conditioning system carries out electricity needs response according to multiple described prediction dispatching of power netwoks instruction.

9. as claimed in claim 8 based on the air-conditioning system electricity needs response control mehtod of cloud platform, it is characterized in that, described total power consumption control model meets simultaneously: the indoor objects humiture of described building is positioned at described setting warm and humid comfort level interval and the total electricity consumption of all described air-conditioning systems is less than described maximum total electricity consumption value

Set warm and humid comfort level in conjunction with the power consumption of described maximum total electricity consumption value, described air-conditioning system and its architecture indoor humiture relational model, described architecture noumenon model and interval, set up total power consumption control model of all described air-conditioning systems, comprising:

According to each described probability of happening of prediction dispatching of power netwoks instruction and the power consumption of described air-conditioning system and its architecture indoor humiture relational model, set up the total electricity consumption electricity charge/electricity objective function of all described air-conditioning systems, wherein, the described total electricity consumption electricity charge/electricity objective function is an integral model;

According to described architecture noumenon model and the warm and humid comfort level interval of described setting, set up the indoor temperature and humidity constraint function of described building;

With described maximum total electricity consumption value for maximal value, based on power consumption and its architecture indoor humiture relational model of described air-conditioning system, set up the total electricity consumption constraint function of all described air-conditioning systems;

In conjunction with the described total electricity consumption electricity charge/electricity objective function, described indoor temperature and humidity constraint function and described total electricity consumption constraint function, generate described total power consumption control model.

10., as claimed in claim 9 based on the air-conditioning system electricity needs response control mehtod of cloud platform, it is characterized in that, described method also comprises:

Based in moment, electricity price, outdoor temperature, outside humidity, outdoor illumination and wind-force or multiparameter, according to the load data of the power supply grid of described air-conditioning system and/or the historical operating parameter data of described air-conditioning system, generate described prediction dispatching of power netwoks instruction, and calculate the probability of happening of described prediction dispatching of power netwoks instruction.