CN111509702B - Comprehensive energy system and control method thereof - Google Patents
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Abstract
The invention discloses a comprehensive energy system and a control method thereof. The method introduces coefficient factors related to electricity and heat on the basis of traditional demand response characteristics, and provides a response model of multi-energy demand response, and the method comprises the following steps: firstly, modeling analysis is carried out on the comprehensive energy system by monitoring the operation mode of the comprehensive energy system in real time, and an input-output relation and a target function are determined; secondly, analyzing and obtaining the relation between the demand response and the time-of-use electricity price, fitting a load transfer curve, and finally designing a multi-energy demand response model in the process of optimizing the energy consumption problem of a user.
Description
Technical Field
The invention belongs to the technical field of intelligent park multi-user power demand response energy complementation, and particularly relates to a comprehensive energy system and a control method thereof.
Background
Demand Response (DR) technology is one of core parts in the field of smart power grids, is an effective way to promote power supply and Demand balance, realize peak clipping and valley filling, and improve overall benefits, and along with the deepening of the national power market reform, a Demand Response incentive mechanism is taken as an important link therein, needs to play the role of a market mechanism, and promotes the balance between a power supply side and a Demand side. The electricity consumption of urban multi-element users formed by combining various types of users such as industry, business, residential users, load service providers, energy service providers, electricity selling companies and the like is rapidly increased, and the electricity consumption behaviors of the multi-element users have increasingly large influence on load peak-valley difference and comprehensive energy consumption. Under the background, how to provide a demand response incentive mechanism suitable for the present stage of China becomes a problem to be researched urgently.
The generalization and gradual development of an Integrated Energy System (IES) of a demand side, a multi-Energy user can participate in a demand response plan according to the flexible Energy consumption thereof. However, since the user may choose to use alternative energy sources or shift energy consumption to other time periods, the response characteristics to achieve this type of demand response are generally more complex than traditional single energy demand responses.
The intelligent power utilization of the intelligent park is very important for construction of the intelligent power grid, power users of the intelligent park are guided to actively carry out demand response, the intelligent power utilization management level of the park can be improved, and economic benefits, management benefits and social benefits are brought to power grid companies, users and government three parties by implementation of the demand response project of the intelligent park.
Disclosure of Invention
The invention aims to provide a comprehensive energy system and a control method thereof, wherein on the basis of traditional demand response characteristics, coefficient factors related to electricity and heat are introduced, a definite and uniform response model is determined in a time-of-use electricity price scheme aiming at the minimum comprehensive operation cost of a user within one day, and the conversion relation between input energy and output load is determined, so that the optimal scheduling of demand response resources is ensured.
The invention adopts the following technical scheme. A control method of an integrated energy system, the integrated energy system comprising: the system comprises electrical equipment, a cogeneration unit and heat storage equipment, wherein the electrical equipment comprises a transformer and an electric boiler; the control method comprises the following steps:
step 1, initializing parameters of the comprehensive energy system, setting the electric quantity x required to be purchased and the gas quantity y required to be purchased to zero, and setting the electrical efficiency eta of electrical equipmentexAnd thermal efficiency ηhxZero setting, electrical efficiency eta of combined heat and power generating uniteyAnd thermal efficiency ηhySetting zero, setting the time interval t to zero;
step 2, monitoring the operation mode of the comprehensive energy system in real time, including the power load LeThermal load LhPurchased electricity amount x, purchased gas amount y; inquiring the specification of the equipment to obtain and update the electrical efficiency eta of the electrical equipmentexAnd thermal efficiency ηhxElectrical efficiency eta of cogeneration uniteyAnd thermal efficiency ηhy(ii) a Updating the time interval t; establishing an input and output equation of the comprehensive energy system;
step 3, modeling constraint conditions of the comprehensive energy system, and determining constraint conditions and an objective function, wherein the constraint conditions are the total heat load in a day, the power load in each time interval t, the maximum input of electrical equipment and the maximum input of a cogeneration unit, and the objective function is the minimum energy use cost;
step 4, dividing the electricity utilization time period, and dividing one day into three time periods according to the load level: peak, valley and flat periods of time, at TpTime, T, representing peak hoursfTime, T, representing a flat periodvTime representing a trough period;
step 5, analyzing the response characteristics in the time-of-day electricity price plan, namely, enabling the electricity consumption reduction amount at the peak time to be equal to the electricity consumption increase amount at the flat time and the low-valley time so as to obtain the balance relation between the electricity consumption change heat load and the gas purchase amount;
and 6, establishing a comprehensive energy system multi-energy demand response model by simultaneously establishing the input and output equation, the objective function, the constraint condition, the power consumption time period and the balance relation in the steps 2-5, solving the minimum energy use cost, and executing the optimization control of the comprehensive energy system.
Preferably, the input-output equation of the integrated energy system in step 2 is expressed by the following formula,
Lerepresenting the electrical load, LhRepresents the thermal load;
ηexrepresenting the electrical efficiency, η, of the electrical apparatushxRepresenting the thermal efficiency, eta, of the electrical apparatuseyRepresenting the electrical efficiency, eta, of a cogeneration unithyRepresenting the thermal efficiency of the cogeneration unit;
xeexpressed as the amount of power, x, that needs to be purchased to meet the power load demandhRepresenting the amount of power purchased to meet the thermal load demand;
ztrepresenting output functions of cogeneration units and making quadratic functions
m, n are coefficients of the output function; y istRepresenting the amount of gas purchased during the time interval t.
Preferably, the step 3 specifically includes a step 3.1, in which the input-output relationship of the integrated energy system established in the step 2 is used to determine a limiting constant imposed on the total thermal load in a day and a power load constraint condition in each time interval t:
in the formula:
t denotes the time interval within a day, T denotes the number of time intervals, ztRepresenting output functions of cogeneration units and making quadratic functions
m, n are coefficients of the output function; y istRepresenting the amount of gas purchased during the time interval t;
ηexrepresenting electricity of electrical apparatusEfficiency, ηhxRepresents the thermal efficiency of the electrical equipment; etaeyRepresenting the electrical efficiency, eta, of a cogeneration unithyRepresenting the thermal efficiency of the cogeneration unit;
xe,trepresenting the amount of power, x, to be purchased during the time interval t to meet the power load demandh,tRepresenting the amount of power to be purchased to meet the thermal load demand during the t time interval;
Lh,0is constant, indicating that the total heat load in a day is limited;
Le,trepresenting the power load constraint for each time interval t.
Preferably, step 3 comprises in particular step 3.2,
while satisfying the above conditions, it must be performed within the following ranges:
in the formula:
t represents a time interval within a day;
xe,trepresenting the amount of power, x, to be purchased during the time interval t to meet the power load demande,maxRepresents the maximum input of the transformer;
xh,trepresenting the amount of power to be purchased to meet the thermal load demand over a time interval t; x is the number ofh,maxRepresents the maximum input of the electric boiler;
ztrepresenting output functions of cogeneration units and making quadratic functions
m, n are coefficients of the output function; y istRepresenting the amount of gas purchased during the time interval t; y ismaxRepresenting the maximum input of the cogeneration unit.
Preferably, the energy use cost is taken as an optimization target, and the cost in each time interval t is accumulated to obtain the running cost of the comprehensive energy system
t denotes the time interval within a day, ztRepresenting output functions of cogeneration units and making quadratic functions
m, n are coefficients of the output function; y istRepresenting the amount of gas purchased during the time interval t;
atrepresenting the electricity price in the t time interval, btRepresenting the gas price in the t time interval;
xe,trepresenting the amount of power, x, to be purchased during the t time interval to meet the power load demandh,tRepresenting the amount of power that needs to be purchased to meet the thermal load demand over a time interval T, which represents the number of time intervals.
Preferably, the balance relation between the electricity consumption variation heat load and the gas purchase amount in the step 5 is expressed by the following formula,
in the formula:
Tp，Tf，Tvrespectively representing the times of peak hours, flat hours, and valley hours;
xh,trepresenting the amount of power, η, required to be purchased to meet the thermal load demand over a time interval thxRepresents the thermal efficiency of the electrical equipment; etahyRepresents the thermal efficiency of the cogeneration unit;
ztrepresenting output functions of cogeneration units and making quadratic functions
m, n are coefficients of the output function; y istRepresenting the amount of gas purchased during the time interval t;
xh,t: indicating the requirement for a heat load within a time interval tThe power to be purchased.
Preferably, the comprehensive energy system multipotential demand response model in step 6 is expressed using the following formula,
t denotes the time interval within a day, ztRepresenting output functions of cogeneration units and making quadratic functions
m, n are coefficients of the output function; y istRepresenting the amount of gas purchased during the time interval t;
atrepresenting the electricity price in the t time interval, btRepresenting the gas price in the t time interval;
ηexrepresenting the electrical efficiency, η, of the electrical apparatuseyRepresenting the electrical efficiency of the cogeneration unit;
Le,trepresenting the power load constraint for each time interval t;
xe,trepresenting the amount of power, x, to be purchased during the t time interval to meet the power load demandh,tRepresenting the amount of power that needs to be purchased to meet the thermal load demand over a time interval T, which represents the number of time intervals.
Preferably, the time interval T is 1 hour, the time T of the peak periodpTime of plateau period TfAnd time T of the valley periodvAll for 8 hours.
The invention also provides an integrated energy system using the control method, which comprises the following steps: the electric equipment comprises a transformer and an electric boiler, the electric load of the comprehensive energy system is borne by outsourcing power generation and cogeneration set, the heat load is borne by outsourcing power heat supply and cogeneration set heat supply, the input and output relation of the comprehensive energy system is expressed by the following formula,
in the formula:
Lerepresenting the electrical load, LhRepresents the thermal load;
xeexpressed as the amount of power, x, that needs to be purchased to meet the power load demandhRepresenting the amount of power purchased to meet the thermal load demand;
ηexrepresenting the electrical efficiency, η, of the electrical apparatushxRepresenting the thermal efficiency, eta, of the electrical apparatuseyRepresenting the electrical efficiency, eta, of a cogeneration unithyRepresenting the thermal efficiency of the cogeneration unit;
ztrepresenting output functions of cogeneration units and making quadratic functions
m, n are coefficients of the output function; y istRepresenting the amount of gas purchased during the time interval t.
Preferably, the integrated energy system includes a control module that performs the optimization control with an objective function that minimizes energy use cost as an optimization objective,
in the formula:
t denotes the time interval within a day, ztRepresenting output functions of cogeneration units and making quadratic functions
m, n are coefficients of the output function; y istRepresenting the amount of gas purchased during the time interval t;
atrepresenting the electricity price in the t time interval, btRepresenting the gas price in the t time interval;
ηexrepresenting the electrical efficiency, η, of the electrical apparatuseyRepresenting the electrical efficiency of the cogeneration unit;
Le,trepresenting the power load constraint for each time interval t;
xe,trepresenting the amount of power, x, to be purchased during the t time interval to meet the power load demandh,tRepresenting the amount of power that needs to be purchased to meet the thermal load demand over a time interval T, which represents the number of time intervals.
Compared with the prior art, the invention has the beneficial effects that on the basis of the traditional demand response characteristics, the coefficient factors related to electricity and heat are introduced, the response model of multi-energy demand response is provided, and firstly, the modeling analysis is carried out on the comprehensive energy system by monitoring the operation mode of the IES in real time, and the input-output relation and the objective function are determined. Secondly, analyzing and obtaining the relation between the demand response and the time-of-use electricity price, fitting a load transfer curve, and finally designing a multi-energy demand response model in the process of optimizing the energy consumption problem of a user.
Drawings
Fig. 1 is a flowchart of an integrated energy system and a control method thereof according to the present invention.
Fig. 2 is a model of the integrated energy system in a multi-user intelligent park.
Detailed Description
The present application is further described below with reference to the accompanying drawings. The following examples are only for illustrating the technical solutions of the present invention more clearly, and the protection scope of the present application is not limited thereby.
A preferred embodiment of the present invention provides a method for controlling an Integrated Energy System (IES), which is suitable for an intelligent park including a plurality of users, And includes electrical equipment, a Combined Heat And Power unit (CHP), And Heat storage equipment (HS), where the electrical equipment includes a Transformer (TF) And an Electric Boiler (EB).
Simplifying the model of the comprehensive energy system in the intelligent park of multiple users to obtain the relationship between the power load, the heat load and the input energy electricity and gas: the input energy electricity and gas are respectively converted into an electric load and a heat load through different devices, the devices in the comprehensive energy system consume and purchase electricity and natural gas resources, one part of the electricity resources are converted into the electric load through a transformer, the other part of the electricity resources are converted into the heat load through an electric boiler, energy can be provided for the heat storage devices, and meanwhile, the purchased natural gas resources are converted into the heat load through a cogeneration unit and can provide energy for the heat storage devices. The model of the integrated energy system in the multi-user smart park is shown in fig. 2.
The system configuration makes it possible to satisfy an electrical load or a thermal load with electricity or gas. The multi-energy user can adjust the output of the conversion device (CHP, EB) to change the amount of electricity and natural gas purchased from the external energy grid. This means that the input amount can be varied by energy substitution while keeping the IES constant load. Furthermore, if the energy prices of the day ahead are released to the users, the users can also utilize the heat storage devices, making it possible to transfer heat loads between different periods of the day. Thus, the input energy for satisfying the thermal load can be transferred from one time to another within a day. In other words, multi-energy users have more choices in energy consumption, including energy substitution and energy transfer.
The control method of the IES, referring to fig. 1, includes the following steps:
step 1, initializing each parameter of the comprehensive energy system of the multi-user, specifically comprising:
the required purchased electric quantity x and the required purchased gas quantity y are set to zero, and the electrical efficiency eta of the electrical equipment isexAnd thermal efficiency ηhxZero, electrical efficiency η of CHPeyAnd thermal efficiency ηhyZero setting, the time interval t is set to zero.
For the electrical efficiency and the thermal efficiency, the electrical efficiency and the thermal efficiency of different equipment have certain difference, specific electrical efficiency and thermal efficiency are obtained by inquiring on the specification of the equipment, and the electrical efficiency and the thermal efficiency are updated before the constraint condition of the comprehensive energy system is modeled at the step 2;
for the time interval, 24 hours of the day may be divided into three periods according to the load level: the peak time, the valley time and the flat time are preferably 8h, and each power supply company can specifically define each time according to different seasons and peak-valley load occurrence time according to the principle. The situation executed by the north China power grid is as follows: the peak section is 9h, the valley section is 7h, and the average section is 8 h. The situation of the Guangxi electric network implementation is as follows: the daily peak period was 7: 00-11: 00, 19: 00-23: 00; the usual time period is 11: 00-19: 00; the trough period was 23: 00-day 7: 00. the peak-valley period of the northeast power grid is divided into: in the peak period: 8: 00-11: 00, 11: 00-21: 00; in the valley period: 22: 00-day 5: 00; the rest of the time is a normal period. Updating of the time interval t is done before modeling the integrated energy system constraints at step 2, according to the period of demand response required.
In step 2, the operation mode of the IES is monitored in real time, that is, the total amount change between the natural gas resource and the electric power resource during the operation of the IES is grasped to maintain the stable balance of the IES, and the conversion efficiency of the corresponding resources of the CHP, TF and EB is obtained, and the input/output relationship of the comprehensive energy system is determined for the comprehensive energy system of the multiple users in the intelligent park.
The matrix equation of the input-output relation of the comprehensive energy system is as follows:
the formula (1) shows that the power load of the comprehensive energy system is borne by outsourcing electricity and CHP electricity generation, and the heat load is borne by outsourcing electricity heat supply and CHP heat supply, and the limiting constant and the power load constraint condition are used for calculating the sum of the heat load subsequently.
Wherein x represents the amount of electricity purchased and y represents the amount of gas purchased;
Lerepresenting the electrical load, LhRepresents the thermal load;
xeexpressed as the amount of power, x, that needs to be purchased to meet the power load demandhRepresenting the amount of power purchased to meet the thermal load demand;
ηexrepresenting the electrical efficiency, η, of the electrical apparatushxRepresenting the thermal efficiency, eta, of the electrical apparatuseyRepresenting the electrical efficiency, η, of the CHPhyRepresents the thermal efficiency of CHP;
ztrepresenting the output function of CHP and making a quadratic function
m, n are set coefficients, i.e. m, n are coefficients of an output function, i.e. ztDenotes ytThe transition variables of (1). Wherein y istThe method is characterized in that the method represents the gas quantity purchased in the time interval t and cannot be directly operated with the heat efficiency or electric efficiency of the CHP, so that the method carries out formal conversion, acquires the natural gas purchase quantity of the CHP and the energy generated by the system, and determines coefficients m and n by a predetermined coefficient method.
The electrical efficiency and the thermal efficiency of different equipment have certain difference, and specific electrical efficiency and thermal efficiency can be obtained by inquiring the specification of the equipment, so that the conversion efficiency is updated; the 24 hours of the day may be divided into three periods according to load level: peak periods, valley periods and flat periods, the updating of the time interval t is done according to the period of demand response required, for example but not limited to, the time interval t is 1 hour.
In step 3, modeling the constraint condition of the comprehensive energy system, and determining the constraint condition and an objective function; and (3) the HS is recycled, so that the total heat storage amount and the heat release amount in one day are equal, the total heat output of the CHP and the EB in one day is set to be a constant value, and the constraint condition and the optimization problem of the comprehensive energy system are obtained.
In step 3.1, the input-output relationship of the integrated energy system determined in step 2 is used to determine a limiting constant suffered by the total thermal load in a day and a power load constraint condition in each time interval t:
in the formula:
t denotes the time interval within a day, T denotes the number of time intervals, ztDenotes ytThe transition variable of (1);
ηexrepresenting the electrical efficiency, η, of the electrical apparatushxRepresents the thermal efficiency of the electrical equipment; etaeyIndicates the electrical efficiency, η, of CHPhyRepresents the thermal efficiency of CHP;
xe,trepresenting the amount of power, x, to be purchased during the time interval t to meet the power load demandh,tRepresenting the amount of power to be purchased to meet the thermal load demand during the t time interval;
Lh,0is constant, indicating that the total heat load in a day is limited;
Le,trepresenting the power load constraint for each time interval t.
In step 3.3, while the above conditions are satisfied, it must be performed within the following ranges:
in the formula:
t represents a time interval within a day;
xe,trepresenting the amount of power, x, to be purchased during the time interval t to meet the power load demande,maxRepresents the maximum input of the TF;
xh,trepresenting the amount of power to be purchased to meet the thermal load demand over a time interval t; x is the number ofh,maxRepresents the maximum input of EB;
ztdenotes ytOf the conversion variable, ymaxRepresents the maximum input of the CHP and m, n represents the coefficients of the output function of the CHP.
In step 3.1, the process is carried out,
equation (2) takes the energy usage cost as the optimization target, and accumulates the cost in each time interval t to obtain the IES operation cost.
In equation (2), t represents the time interval within one day, m, n represents the coefficients of the output function of the CHP, ztDenotes ytThe output function of (1);
atrepresenting the electricity price in the t time interval, btRepresenting the gas price in the t time interval;
xe,trepresenting the amount of power, x, to be purchased during the t time interval to meet the power load demandh,tRepresenting the amount of power that needs to be purchased to meet the thermal load demand over a time interval T, which represents the number of time intervals.
In step 4, the electricity utilization time period is divided according to the load level, and one day is divided into three time periods according to the load level: peak hours, valley hours and flat hours, such as but not limited to 8 hours each, the power companies can specifically define the various hours according to the principle, according to the respective seasons and the occurrence time of peak and valley loads. By TpTime, T, representing peak hoursfTime, T, representing a flat periodvRepresenting the time of the trough period.
In step 5, analyzing response characteristics in the time-of-day electricity price plan;
equation (5) is a transformation that the total heat load is constant according to the constraints on heat load (3), which illustrates that varying heat load for electricity usage is related to varying natural gas purchases throughout the day. Since the amount of electricity can be shifted from the peak time to the flat time and the trough time, the decrease amount at the peak time can be approximately equal to the increase amount at the flat time and the trough time to obtain the balance relationship between the electricity consumption change heat load and the gas purchase amount:
in the formula:
Tp，Tf，Tvrespectively representing the times of peak hours, flat hours, and valley hours;
xh,trepresenting the amount of power, η, required to be purchased to meet the thermal load demand over a time interval thxRepresents the thermal efficiency of the electrical equipment (TF and EB); etahyRepresents the thermal efficiency of CHP;
zt: denotes ytThe transition variable of (1);
xh,t: representing the electrical energy that needs to be purchased to meet the thermal load demand over the time interval t.
Overall, using the CHP in the IES, the coupling of different loads makes the replacement of the dual input energy more complicated, and the addition of the derived load will make the transfer between energies in the IES system more complicated. Meanwhile, the introduction of flexible HS enables energy purchases to be transferred between time periods, resulting in multi-directional energy flow, consisting of the usual electricity usage response, with both the transferred components from electricity purchases at peak times and the substitute components for natural gas purchases at off-peak times.
In step 6, a multifunctional DR response model is established for a plurality of users in the intelligent park;
and establishing a multifunctional DR optimization response model by taking the lowest comprehensive operation cost of the user as an optimization target and combining various constraint conditions established by the model.
In the formula:
atrepresenting the electricity price in the t time interval, btRepresenting the gas price in the time interval t;
ηexrepresenting the electrical efficiency, η, of the electrical apparatuseyRepresents the electrical efficiency of the CHP;
ztdenotes ytM, n represent the coefficients of the output function of the CHP;
Le,trepresenting an equal constraint of electrical load per time interval t;
t: representing the number of time intervals.
And (3) when a new comprehensive energy system is added, re-executing the step 1 and initializing all parameters of the comprehensive energy system of the multi-user.
The invention has the beneficial effects that the invention provides the comprehensive energy system and the control method thereof, the modeling analysis is carried out on the comprehensive energy system by monitoring the operation mode of the IES in real time, and the input-output relation and the objective function are determined; analyzing the relation between DR and time-of-use electricity price, fitting a load transfer curve, optimizing a multi-energy DR response model in the process of optimizing the energy consumption problem of a user, aiming at the minimum comprehensive operation cost of the user within one day, determining a clear and uniform response model in the time-of-use electricity price scheme, and determining the conversion relation between input energy and output load, thereby ensuring the optimal scheduling of DR resources and improving the effect of load electricity consumption behavior.
The method aims at minimizing the comprehensive operation cost of a user within one day, and dynamically changes the amount of electric power and natural gas purchased from an external energy network on the premise of constant load in the IES, so as to achieve the optimal energy utilization efficiency and maintain the normal operation of the IES while reducing consumption expenditure. The heat storage device can be more conveniently utilized while the energy price can be obtained in advance, so that the heat load can be transferred at different time intervals, and the flexibility of energy selection is improved.
Noun abbreviations:
and (3) demand response: demand Response, abbreviated DR;
the comprehensive energy system comprises: integrated Energy System, abbreviated IES;
cogeneration of heat and power: cogeneration, Combined Heat And Power, abbreviated CHP;
a heat storage system: heat Storage, abbreviated HS;
a transformer: transformer, abbreviated TF;
an electric boiler: electric Boiler, abbreviated EB.
List of parameters:
x: representing the amount of power purchased;
xe: representing the amount of power purchased required to meet the power load demand;
xe,t: representing the amount of power that needs to be purchased to meet the demand of the electrical load during the time interval t;
xe,max: represents the maximum input of the TF;
xh: representing the amount of power purchased to meet the thermal load demand;
xh,t: representing the electrical energy that needs to be purchased to meet the thermal load demand over the time interval t;
xh,max: represents the maximum input of EB;
y: indicating the amount of gas purchased;
ymax: represents the maximum input of the CHP;
zt: represents an output function of the combined heat and power CHP, and has
m>0, n is more than or equal to 0, m and n are set coefficients;
zt: denotes ytThe transition variable of (1);
Le: representing an electrical load;
Lh: represents the thermal load;
Lh,0: is constant and represents the limitation of the total heat load of a whole day;
ηex: representing the electrical efficiency of the electrical device;
ηhx: represents the thermal efficiency of the electrical equipment;
ηey: represents the electrical efficiency of the CHP;
ηhy: represents the thermal efficiency of CHP;
at: representing the electricity price in the t time interval;
bt: representing the gas price in the t time interval;
t: representing a time interval within a day;
t: represents the number of time intervals;
Tp: a time representing a peak hour;
Tf: time representing a flat period;
Tv: representing the time of the trough period.
Compared with the prior art, the invention has the beneficial effects that on the basis of the traditional demand response characteristics, the coefficient factors related to electricity and heat are introduced, the response model of multi-energy demand response is provided, and firstly, the modeling analysis is carried out on the comprehensive energy system by monitoring the operation mode of the IES in real time, and the input-output relation and the objective function are determined. Secondly, analyzing and obtaining the relation between the demand response and the time-of-use electricity price, fitting a load transfer curve, and finally designing a multi-energy demand response model in the process of optimizing the energy consumption problem of a user.
The present applicant has described and illustrated embodiments of the present invention in detail with reference to the accompanying drawings, but it should be understood by those skilled in the art that the above embodiments are merely preferred embodiments of the present invention, and the detailed description is only for the purpose of helping the reader to better understand the spirit of the present invention, and not for limiting the scope of the present invention, and on the contrary, any improvement or modification made based on the spirit of the present invention should fall within the scope of the present invention.
Claims (8)
1. A control method of an integrated energy system, the integrated energy system comprising: the system comprises electrical equipment, a cogeneration unit and heat storage equipment, wherein the electrical equipment comprises a transformer and an electric boiler; the control method is characterized by comprising the steps of:
step 1, initializing parameters of the comprehensive energy system and purchasing electric quantityx and the purchased gas quantity y are set to zero, and the electrical efficiency eta of the electrical equipmentexAnd thermal efficiency ηhxZero setting, electrical efficiency eta of combined heat and power generating uniteyAnd thermal efficiency ηhySetting zero, setting the time interval t to zero;
step 2, monitoring the operation mode of the comprehensive energy system in real time, including the power load LeThermal load LhPurchased electricity amount x, purchased gas amount y; inquiring the specification of the equipment to obtain and update the electrical efficiency eta of the electrical equipmentexAnd thermal efficiency ηhxElectrical efficiency eta of cogeneration uniteyAnd thermal efficiency ηhy(ii) a Updating the time interval t; establishing an input and output equation of the comprehensive energy system;
step 3, determining constraint conditions and an objective function of the comprehensive energy system, wherein the constraint conditions are the total heat load in a day, the power load in each time interval t, the maximum input of electrical equipment and the maximum input of a cogeneration unit, and the objective function is the minimum energy use cost; the method comprises the following steps: and (3) establishing an input and output equation of the comprehensive energy system in the step (2), and determining a limiting constant borne by the heat load sum in one day and a power load constraint condition in each time interval t:
in the formula:
t denotes the time interval within a day, T denotes the number of time intervals, ztRepresenting output functions of cogeneration units and making quadratic functions
m, n are coefficients of the output function; y istRepresenting the amount of gas purchased during the time interval t;
xe,trepresenting the amount of power, x, purchased to meet the demand of the electrical load during a time interval th,tRepresenting the amount of power purchased to meet the thermal load demand during the t time interval;
Lh,0is a constant number of times, and is,represents a limitation on the total heat load in a day;
Le,trepresenting the power load constraint for each time interval t;
step 4, dividing the electricity utilization time period, and dividing one day into three time periods according to the load level: peak, valley and flat periods of time, at TpTime, T, representing peak hoursfTime, T, representing a flat periodvTime representing a trough period;
step 5, analyzing the response characteristics in the time-of-day electricity price plan, namely, enabling the electricity consumption reduction amount at the peak time to be equal to the electricity consumption increase amount at the flat time and the low-valley time so as to obtain the balance relation between the electricity consumption change heat load and the gas purchase amount;
step 6, establishing a comprehensive energy system multi-energy demand response model by simultaneously establishing the input and output equation, the objective function, the constraint condition, the power consumption time period and the balance relation in the step 2-5, solving the minimized energy use cost, and executing the optimization control of the comprehensive energy system; wherein, the comprehensive energy system multipotential demand response model in the step 6 is expressed by the following formula,
atrepresenting the electricity price in the t time interval, btIndicating the gas price in the t time interval.
2. The control method of the integrated energy system according to claim 1, characterized in that:
the input and output equations of the integrated energy system in step 2 are expressed by the following formulas,
xerepresenting the amount of power purchased to satisfy the demand of the electrical load, xhRepresenting the amount of power purchased to meet the thermal load demand.
3. The control method of the integrated energy system according to claim 2, characterized in that:
step 3 must be performed within the following ranges:
0≤xe,t≤xe,max,0≤xh,t≤xh,max,
in the formula:
xe,maxrepresents the maximum input of the transformer;
xh,maxrepresents the maximum input of the electric boiler;
ymaxrepresenting the maximum input of the cogeneration unit.
4. The control method of the integrated energy system according to claim 3, characterized in that:
the energy use cost minimization is taken as an optimization target, and the cost in each time interval t is accumulated to obtain the use cost of the comprehensive energy system
5. The control method of the integrated energy system according to claim 4, characterized in that:
the balance relationship between the electricity consumption variation heat load and the gas purchase amount in the step 5 is expressed by the following formula,
in the formula:
Tp，Tf，Tvrespectively representing the times of peak, flat, and valley periods.
6. The control method of the integrated energy system according to claim 5, characterized in that:
the time interval T is 1 hour, the time T of the peak periodpTime of plateau period TfAnd time T of the valley periodvAll for 8 hours.
7. An integrated energy system using the control method of any one of claims 1 to 6, comprising: electrical equipment, combined heat and power generation unit and heat-retaining device, electrical equipment include transformer and electric boiler, its characterized in that:
the power load of the comprehensive energy system is born by outsourcing power generation and cogeneration units, the heat load is born by outsourcing power supply and cogeneration units, the input and output equation of the comprehensive energy system is expressed by the following formula,
in the formula:
Lerepresenting the electrical load, LhRepresents the thermal load;
xerepresenting the amount of power purchased to satisfy the demand of the electrical load, xhRepresenting the amount of power purchased to meet the thermal load demand.
8. The integrated energy system of claim 7,
the integrated energy system includes a control module that performs optimization control with an objective function that minimizes energy use cost as an optimization objective,
in the formula:
t represents the number of time intervals.
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