CN108134403A - The micro- energy dispatching method that can be netted of industrialized agriculture and system - Google Patents
The micro- energy dispatching method that can be netted of industrialized agriculture and system Download PDFInfo
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Abstract
The energy dispatching method and system netted the present invention provides a kind of micro- energy of industrialized agriculture, the method includes:If judge to be informed in the dispatching cycle of the micro- energy net of industrialized agriculture, when the micro- photovoltaic output total amount that can be netted of industrialized agriculture meets the first preset condition, based on industrialized agriculture is micro- can the input-output power model of each energy storage device and can time shift load model in net, with all minimum first objects of extent of deviation that can be between the power summation of time shift load consumption and the micro- photovoltaic generation power that can be netted of industrialized agriculture, the micro- Optimal Operation Model that can be netted of industrialized agriculture is established;Based on Optimal Operation Model, within dispatching cycle, adjust industrialized agriculture it is micro- can in net it is each can time shift load corresponding working hour and each energy storage device storage state, determine to meet during first object it is each can time shift load corresponding working hour and each energy storage device storage state.By the present invention program, the maximization on-site elimination of photovoltaic generation can be realized.
Description
Technical field
The present invention relates to intelligent grid and energy Internet technical field, more particularly, to the micro- energy net of industrialized agriculture
Energy dispatching method and system.
Background technology
Photovoltaic generation is a kind of skill that luminous energy is directly translated into electric energy using the photovoltaic effect of interface
Art.It is mainly made of solar panel (or solar module), controller and inverter three parts, critical piece is by electronics
Component is formed.Solar cell carries out packaging protection after series connection can form the solar module of large area, then coordinate
The components such as upper power controller are formed photovoltaic power generation apparatus.Since the cost of photovoltaic generation is relatively low, and sunlight resource
It can obtain at any time, so photovoltaic generation gradually achieves extensive use.
Wherein photovoltaic greenhouse is the typical case that photovoltaic power generation technology is combined with industrialized agriculture, is formd with the modern times
The micro- energy net system of industrialized agriculture based on agricultural planting industry.This micro- energy net system of industrialized agriculture passes through control of effectively providing multiple forms of energy to complement each other
Technology combination modern agriculture planting technology processed gives full play to the advantage of solar energy, biomass energy and novel agricultural load, realizes
Collection on the spot to solar energy is stored and is used on the spot on the spot, is ultimately converted to the energy form needed for crop growth.It is logical
Rationally control is crossed, achievees the purpose that effectively to dissolve photovoltaic generation peak value output, a new selection is provided for " photovoltaic poverty alleviation ".Cause
This, how this kind of industrialized agriculture of Optimized Operation it is micro- can net internal system various energy resources, energy storage and agricultural can time shift load, so as to
Realize multiple-energy-source and can time shift load to the on-site elimination of photo-voltaic power supply, become the key of this technology successful implementation.
But reach photo-voltaic power supply about the energy-optimised scheduling by the micro- energy net of industrialized agriculture both at home and abroad at present and disappear on the spot
The research of problem received has not been reported.And for the traditional micro-grid system studied extensively at present, industrialized agriculture is micro-
Can net load have mostly can time shift characteristic, and have the stored energy form of various energy resources type, therefore traditional micro-capacitance sensor
Energy-optimised dispatching method is no longer applicable in the micro- energy net of industrialized agriculture.It is badly in need of providing one kind for this purpose, existing and can realize comprising can
The micro- energy dispatching method that can be netted of industrialized agriculture of time shift load.
Invention content
It solves the above problems in order to overcome the problems referred above or at least partly, the present invention provides a kind of micro- energy of industrialized agriculture
The energy dispatching method and system of net.
On the one hand, the present invention provides a kind of industrialized agriculture it is micro- can net energy dispatching method, including:
S11, if judging to be informed in the dispatching cycle of the micro- energy net of industrialized agriculture, the micro- photovoltaic that can be netted of the industrialized agriculture goes out
When power total amount meets the first preset condition, the input-output power model based on each energy storage device in the micro- energy net of industrialized agriculture
With the industrialized agriculture it is micro- can net in can time shift load model, with the industrialized agriculture it is micro- can net in it is all can time shift load disappear
The minimum first object of extent of deviation between the micro- photovoltaic generation power that can be netted of power summation and the industrialized agriculture of consumption, builds
Micro- the first Optimal Operation Model that can be netted of the vertical industrialized agriculture;
S12 based on first Optimal Operation Model, within the dispatching cycle, adjusts the micro- energy net of the industrialized agriculture
It is interior it is each can time shift load corresponding working hour and the industrialized agriculture it is micro- can net in each energy storage device storage state,
Determine to meet the industrialized agriculture during first object it is micro- can in net it is each can time shift load corresponding working hour, Yi Jisuo
State the storage state of each energy storage device in the micro- energy net of industrialized agriculture;
Wherein, first preset condition meets for the photovoltaic output total amount and is only capable of meeting the micro- energy of the industrialized agriculture
In net it is all can time shift load consumption energy summation;The input-output power model is used to calculate each energy storage device
Input power and output power;It is described can time shift load model for determine adjustment after be operated in each tune in the dispatching cycle
Spend the period can time shift load consumption power.
Preferably, first preset condition is specially:The industrialized agriculture it is micro- can it is all in net can the consumption of time shift load
Energy summation and the photovoltaic output total amount ratio in the range of pre-set interval.
Preferably, the method further includes:
If judgement was informed in the dispatching cycle, it is pre- that the micro- photovoltaic output total amount that can be netted of the industrialized agriculture meets second
If during condition, input-output power model and the facility agriculture based on each energy storage device in the micro- energy net of the industrialized agriculture
Industry it is micro- can net in can time shift load model, using the industrialized agriculture it is micro- can net day operation cost minimization as the second target, with
The power variation accumulation of all scheduling slots and minimum third target, it is micro- to establish the industrialized agriculture in adjacent dispatching cycle
The second Optimal Operation Model that can be netted;
Based on second Optimal Operation Model, within the dispatching cycle, adjust every in the micro- energy net of the industrialized agriculture
One can time shift load corresponding working hour and the industrialized agriculture it is micro- can net in each energy storage device storage state, determine
Meet simultaneously industrialized agriculture when second target and the third target it is micro- can in net it is each can time shift load it is corresponding
The storage state of each energy storage device in working hour and the micro- energy net of the industrialized agriculture;
Wherein, second preset condition cannot meet for the photovoltaic output total amount in the micro- energy net of the industrialized agriculture
It is all can time shift load consumption energy summation or the photovoltaic output total amount meet it is described it is all can time shift load consumption
Energy after exist sell surplus.
Preferably, the method further includes:
Obtain each energy storage device as can time shift load when the power that consumes, and using the power as corresponding
The input power of energy storage device;
Energy storing space and corresponding energy output maximum time based on each energy storage device, determine corresponding energy
The output power of storage device;
Input power and output power based on each energy storage device, the input for building each energy storage device are defeated
Go out power module.
Preferably, the input-output power model of each energy storage device of structure specifically includes:By following public
Formula builds the input-output power model of each energy storage device;
In formula, Pk.IFor the input power of energy storage device k, Pk.pumpBeing used as energy storage device k can time shift load
When the power that consumes;Pk.OFor the output power of energy storage device k, AkFor the energy storing space of energy storage device k, tk.O_MAXFor
Energy storage device k corresponding maximum output times, tk.I_MAXFor the maximum input time of energy storage device k, ηk.IFor energy
The energy storage efficiency of storage device k.
Preferably, the energy storing space of each energy storage device is satisfied by energy storing space constraints, the energy storing space
Constraints equation below:
Ek t-1+xk_i.t·Pk.I·ηk.I-xk_o.t·Pk.O≤Ak, (t=1,2 ... T)
Wherein, T be the dispatching cycle, t be the dispatching cycle in a scheduling slot, ESHUI t-1Represent dispatching cycle
The energy of middle t-1 scheduling slots energy storage device k memory storages, xk_i.tRepresent the input shape of scheduling slot t energy storage devices k
State amount, xk_o.tRepresent the output state amount of scheduling slot t energy storage devices k.
Preferably, the method further includes:
The method further includes:
Obtain that each scheduling slot before adjustment is all the power summation that consumes and to be transferred to after adjustment every during time shift load
One scheduling slot can time shift load consumption power summation, adjustment after produce each scheduling slot can time shift load consumption
Power summation;
Based on equation below calculate adjustment after be operated in each scheduling slot can time shift load consumption power summation, and
Build the industrialized agriculture it is micro- can net in can time shift load model;
Lt=Lfore.t+LIN.t-LOUT.t
In formula, Lfore.tFor before adjustment in scheduling slot t it is all can time shift load when the power summation that consumes, LIN.tTo adjust
Be transferred to after whole scheduling slot t can time shift load consumption power summation, LOUT.tIt can time shift for produce scheduling slot t after adjustment
The power summation of load consumption.
Preferably, the energy storage device in the micro- energy net of the industrialized agriculture includes potential energy storage device, biomass chemistry
Can storage device and thermal energy storage device, it is described can time shift load include can time shift electric load, can time shift thermic load and can time shift
Potential energy load;LIN.tAnd LOUT.tIt is calculated by equation below:
Wherein, Lin_E.t、Lin_Q.tAnd Lin_P.tRespectively represent adjustment after be transferred to scheduling slot t can time shift electric load, can when
Move thermic load and can time shift potential energy load consumption power summation, Lout_E.t、Lout_Q.tAnd Lout_P.tIt is produced after representing adjustment respectively
Scheduling slot t can time shift electric load, can time shift thermic load and can time shift potential energy load consumption power summation.
Preferably, it is described can time shift load corresponding working hour and the industrialized agriculture it is micro- can net in each energy deposit
The storage state of storage device can build following state moment matrix;
Wherein, L be can time shift load each scheduling slot within a dispatching cycle state moment matrix, S be each energy
Storage device is set in the storage state matrix of each scheduling slot, quantity of the N for scheduling slot in a dispatching cycle, M to be described
Apply agricultural it is micro- can net in it is all can time shift load sum.
On the other hand, the present invention also provides a kind of micro- energy that can be netted of industrialized agriculture to dispatch system, including:Model construction
Module and determining module.Wherein,
Model construction module, if for judging to be informed in the dispatching cycle of the micro- energy net of industrialized agriculture, the industrialized agriculture
It is micro- can net photovoltaic output total amount meet the first preset condition when, based on industrialized agriculture it is micro- can net in each energy storage device it is defeated
Enter output power model and the industrialized agriculture it is micro- can net in can time shift load model, with the industrialized agriculture it is micro- can net in institute
Have can time shift load consumption power summation and the industrialized agriculture it is micro- can net photovoltaic generation power between extent of deviation most
Small is first object, establishes micro- the first Optimal Operation Model that can be netted of the industrialized agriculture;
Determining module for being based on first Optimal Operation Model, within the dispatching cycle, adjusts the facility agriculture
Industry it is micro- can in net it is each can time shift load corresponding working hour and the industrialized agriculture is micro- can each energy storage device in net
Storage state, determine to meet the industrialized agriculture during first object it is micro- can in net it is each can the corresponding work of time shift load when
The storage state of each energy storage device in section and the micro- energy net of the industrialized agriculture;
Wherein, first preset condition meets for the photovoltaic output total amount and is only capable of meeting the micro- energy of the industrialized agriculture
In net it is all can time shift load consumption energy summation;The input-output power model is used to calculate each energy storage device
Input power and output power;It is described can time shift load model for determine adjustment after be operated in it is each in the dispatching cycle
Scheduling slot can time shift load consumption power.
On the other hand, the present invention also provides a kind of non-transient computer readable storage medium storing program for executing, the non-transient computers
Readable storage medium storing program for executing stores computer instruction, and the computer instruction makes computer perform above-mentioned method.
The micro- energy dispatching method that can be netted of industrialized agriculture provided by the invention and system, according to real in the micro- energy net of industrialized agriculture
Input power, the output power of border part throttle characteristics, reasonably optimizing scheduling time shift load and various energy resources storage device, are realized
The maximization on-site elimination of photovoltaic generation so that the energy that photovoltaic generation generates is fully used, is fundamentally saved
The energy, and control energy consumption.Meanwhile already existing energy storage device participation is set in being netted using industrialized agriculture is micro-
Energy storage cost can be reduced by applying agriculture micro- optimizing scheduling progress photovoltaic consumption that can be netted, and can efficiently use the micro- energy net of industrialized agriculture
Multiple resources.
Description of the drawings
Fig. 1 is the micro- flow diagram of energy dispatching method that can be netted of industrialized agriculture that one embodiment of the invention provides;
Fig. 2 is the micro- entire flow of the energy dispatching method signal that can be netted of industrialized agriculture that another embodiment of the present invention provides
Figure;
Fig. 3 is the micro- stream of energy dispatching method that can be netted of the industrialized agriculture provided in an embodiment of the present invention based on genetic algorithm
Journey schematic diagram;
Fig. 4 is the optimization knot under the micro- energy dispatching method Scene 1 that can be netted of industrialized agriculture provided in an embodiment of the present invention
Fruit contrast schematic diagram;
Fig. 5 is the optimization knot under the micro- energy dispatching method Scene 2 that can be netted of industrialized agriculture provided in an embodiment of the present invention
Fruit contrast schematic diagram;
Fig. 6 is the structure diagram that the micro- energy that can be netted of industrialized agriculture provided in an embodiment of the present invention dispatches system.
Specific embodiment
With reference to the accompanying drawings and examples, the specific embodiment of the present invention is described in further detail.Implement below
Example is used to illustrate the present invention, but be not limited to the scope of the present invention.
As described in Figure 1, one embodiment of the invention provides a kind of micro- energy dispatching method that can be netted of industrialized agriculture, including:
S11, if judging to be informed in the dispatching cycle of the micro- energy net of industrialized agriculture, the micro- photovoltaic that can be netted of the industrialized agriculture goes out
When power total amount meets the first preset condition, the input-output power model based on each energy storage device in the micro- energy net of industrialized agriculture
With the industrialized agriculture it is micro- can net in can time shift load model, with the industrialized agriculture it is micro- can net in it is all can time shift load disappear
The minimum first object of extent of deviation between the micro- photovoltaic generation power that can be netted of power summation and the industrialized agriculture of consumption, builds
Micro- the first Optimal Operation Model that can be netted of the vertical industrialized agriculture;
S12 based on first Optimal Operation Model, within the dispatching cycle, adjusts the micro- energy net of the industrialized agriculture
It is interior it is each can time shift load corresponding working hour and the industrialized agriculture it is micro- can net in each energy storage device storage state,
Determine to meet the industrialized agriculture during first object it is micro- can in net it is each can time shift load corresponding working hour, Yi Jisuo
State the storage state of each energy storage device in the micro- energy net of industrialized agriculture;
Wherein, first preset condition meets for the photovoltaic output total amount and is only capable of meeting the micro- energy of the industrialized agriculture
In net it is all can time shift load consumption energy summation;The input-output power model is used to calculate each energy storage device
Input power and output power;It is described can time shift load model for determine adjustment after be operated in it is each in the dispatching cycle
Scheduling slot can time shift load consumption power.
Specifically, the energy that the present invention generates mainly to industrialized agriculture in micro- energy net through photovoltaic generation optimizes tune
Degree.Actual load characteristic in being netted according to industrialized agriculture is micro-, reasonably optimizing scheduling time shift load are filled with various energy resources storage
The input power put, output power realize the maximization on-site elimination of photovoltaic generation.What needs to be explained here is that institute of the present invention
The industrialized agriculture stated refers to, using engineering technology means, carry out animals and plants efficiently produce one with respect under controlled condition in environment
Kind modern agriculture mode.The main source of the micro- energy net self-energy of industrialized agriculture is photovoltaic generation, under certain condition, industrialized agriculture
Micro- energy net can reach self-sufficiency.If cannot be self-sufficient, need from supply station power purchase with energy net micro- to industrialized agriculture
Interior load provides energy, also a kind of situation, i.e. industrialized agriculture it is micro- can photovoltaic generation generates in net energy not only can be from
To self-sustaining, there may also be surpluses to sell.The present invention is each in micro- energy net to industrialized agriculture i.e. from above-mentioned three kinds of situations
Can the working hour of time shift load and the storage state of each energy storage device optimize scheduling, to realize photovoltaic generation most
Bigization on-site elimination.Here on-site elimination refers to that digestion is received, that is, refers to electric energy that photovoltaic generation issues by timely profit
It uses up.
In the present invention, the micro- load that can be in net of industrialized agriculture is can time shift load, you can Load adjustment as needed is real
The working hour on border needs requirement to be achieved, i.e. first object according to scheduling, and micro- the first optimization that can be netted of structure industrialized agriculture is adjusted
Spend model, by adjust every time industrialized agriculture it is micro- can net in it is all can time shift load working hour, determine adjustment after can expire
During foot-eye function it is each can time shift load corresponding working hour, and industrialized agriculture micro- energy when finally determining to meet first object
In net it is each can time shift load corresponding working hour and the industrialized agriculture it is micro- can net in each energy storage device storage
State.What needs to be explained here is that the meaning of " first " in the first Optimal Operation Model here there is no sequencing, only
It is to be distinguished with " second " hereinafter.
Here, it is necessary first to judge whether the micro- photovoltaic output total amount that can be netted of the industrialized agriculture is full within dispatching cycle
The first preset condition of foot, i.e. photovoltaic output total amount whether can meet and be only capable of meeting the industrialized agriculture it is micro- can in net it is all can when
Move load consumption energy summation, if meet the first preset condition, illustrate the industrialized agriculture it is micro- can net in can time shift load need
The energy to be consumed can be met, that is, the facility agriculture substantially with the energy that the photovoltaic generation in the micro- energy net of industrialized agriculture obtains
The micro- energy net of industry can reach self-sufficiency, and main target, which is how the energy for generating photovoltaic generation is more rationally effective, to be utilized,
That is the substantive content of first object.In general, when photovoltaic output total amount meets the first preset condition, industrialized agriculture is micro- to be owned in net
Can the ratio of energy summation and the photovoltaic output total amount of time shift load consumption need in the range of pre-set interval.As preferred
Scheme, pre-set interval range can be [0.7,1.3], that is, as shown in formula (1).
Wherein, T is dispatching cycle;Lfore.tFor scheduling slot t adjustment can time shift load working hour and the facility
Agricultural it is micro- can net in each energy storage device storage state before it is all can time shift load consumption power summation,To adjust
Spend period t adjustment can time shift load working hour and the industrialized agriculture it is micro- can net in each energy storage device storage shape
Before state it is all can time shift load consumption energy summation;LpvtFor photovoltaic generation power in scheduling slot t,For scheduling slot
Photovoltaic output total amount in t.What needs to be explained here is that the scheme of this Optimized Operation provided by the invention, is in order in future
A certain dispatching cycle in realize that the energy generated to photovoltaic generation carries out rationally effective utilization, so L hereinfore.tWith
LpvtIt is to be obtained by prediction, specially:
The historical data of the micro- sunlight irradiation degree that can net residing geographical location of industrialized agriculture is obtained, it is suitable by choosing
Prediction model, you can the predicted value of the sunlight irradiation degree within following a certain dispatching cycle is obtained, according to sunlight irradiation degree
Predicted value i.e. can obtain photovoltaic generation power in scheduling slot t.Meanwhile obtain the industrialized agriculture it is micro- can net in can time shift bear
The historical data of the energy of lotus consumption, by choosing suitable prediction model, can both obtain can in the micro- energy net of the industrialized agriculture
The characteristic of time shift load and in following a certain dispatching cycle can the consumption of time shift load power predicted value.
Wherein, shown in the relationship such as formula (2) that sunlight irradiation degree is contributed with photovoltaic.
Lpvt=Eλ·Qrated·η·Eλ_max (2)
In formula, LpvtRepresent photovoltaic generation power in scheduling slot t, EλRepresent sunlight irradiation degree, Eλ_maxRepresent maximum too
Sunlight irradiation level, η represent the transformation efficiency of sunlight irradiation degree, QratedRepresent photovoltaic rated capacity.
When photovoltaic output total amount meet the first preset condition when, for make the industrialized agriculture it is micro- can net in can time shift load can
Utmostly to dissolve photovoltaic generation, i.e., the industrialized agriculture it is micro- can net with can curve and photovoltaic power curve utmostly phase
Seemingly, therefore first object being described using the method for least square method, formula (3) is the specific expression of first object, that is,
The object function f of first Optimal Operation Model1。
Wherein, f1 be the first Optimal Operation Model object function, T be the dispatching cycle, LtTo dispatch week after adjustment
In phase T scheduling slot t it is all can time shift load consumption power summation, LpvtFacility agriculture for scheduling slot t in dispatching cycle T
The micro- photovoltaic generation power that can be netted of industry.
The present invention final purpose be by adjusting industrialized agriculture it is micro- can net in can time shift load working hour and set
Apply the storage state of each energy storage device in the micro- energy net of agricultural so that first object is met.The facility agriculture obtained at this time
Industry it is micro- can net in it is each can time shift load corresponding working hour and industrialized agriculture it is micro- can net in each energy storage device storage
State is optimal selection.The result of this adjustment can be so that the energy that photovoltaic generation generates in the micro- energy net of entire industrialized agriculture
Amount is fully utilized.
It should be noted that the input and output by each energy storage device in the micro- energy net of the industrialized agriculture in S13
Power module and the industrialized agriculture it is micro- can be in net can time shift load model, be the pact that meets of the first Optimal Operation Model needs
Beam condition.It should be noted that the storage state of each energy storage device includes:The energy storage units are carried as energy source
Output state, the energy storage units for energy as can time shift load storage energy input state and off position
(i.e. 0 output state and 0 input state).
Energy storage device in the present invention in the micro- energy net of industrialized agriculture mainly includes:Potential energy storage device, biomass
Energy storage device and thermal energy storage device are learned, what these three storage devices can be by load can time shift characteristic realization photovoltaic hair
The on-site elimination for the energy that electricity generates contributes the period as electric load consumption electric energy in photovoltaic generation peak value and is stored as other
Form energy, and photovoltaic generation low ebb contribute the period as the other forms energy it is direct for can time shift load energy is provided.Make
For preferred embodiment, potential energy storage device is mainly cistern, and the potential energy that water-storage converts electrical energy into water can be utilized to store.
Biomass chemical energy storage device is mainly methane-generating pit, methane-generating pit heat pump can be utilized to promote biogas production, by electric energy and rural area
The chemical energy of biomass waste be changed into the biomass chemical energy of biogas.Thermal energy storage device is mainly phase-transition heat-storage greenhouse,
Thermal energy storage is converted electrical energy into using phase-transition heat-storage heat pump.
In the present invention, according to industrialized agriculture is micro- can actual load characteristic (can time shift characteristic), reasonably optimizing scheduling in net
The input power of time shift load and various energy resources storage device, output power, realize that the maximization of photovoltaic generation disappears on the spot
It receives, so that the energy that photovoltaic generation generates is fully used, has fundamentally saved the energy, and control the energy and disappear
Consumption.Meanwhile the already existing micro- scheduling that can be netted of energy storage device participation industrialized agriculture is excellent in being netted using industrialized agriculture is micro-
Energy storage cost can be reduced by changing progress photovoltaic consumption, can efficiently use the micro- multiple resources that can be netted of industrialized agriculture.
On the basis of above-described embodiment, the method further includes:
If judgement was informed in the dispatching cycle, it is pre- that the micro- photovoltaic output total amount that can be netted of the industrialized agriculture meets second
If during condition, input-output power model and the facility agriculture based on each energy storage device in the micro- energy net of the industrialized agriculture
Industry it is micro- can be in net can time shift load model, with the industrialized agriculture it is micro- can net day operation cost function result of calculation it is minimum
It is minimum with the result of calculation of the power variation accumulation of all scheduling slots in adjacent dispatching cycle and function for the second target
Third target establishes micro- the second Optimal Operation Model that can be netted of the industrialized agriculture;
Based on second Optimal Operation Model, within the dispatching cycle, adjust every in the micro- energy net of the industrialized agriculture
One can time shift load corresponding working hour and the industrialized agriculture it is micro- can net in each energy storage device storage state, determine
Meet simultaneously industrialized agriculture when second target and the third target it is micro- can in net it is each can time shift load it is corresponding
The storage state of each energy storage device in working hour and the micro- energy net of the industrialized agriculture;
Wherein, second preset condition cannot meet for the photovoltaic output total amount in the micro- energy net of the industrialized agriculture
It is all can time shift load consumption energy summation or the photovoltaic output total amount meet it is described it is all can time shift load consumption
Energy after exist sell surplus.
Specifically, preceding description needs judge the micro- photovoltaic output total amount that can be netted of the industrialized agriculture within dispatching cycle
Whether first preset condition is met, i.e. whether photovoltaic output total amount meets and be only capable of meeting in the micro- energy net of the industrialized agriculture and own
Can time shift load consumption energy summation.If photovoltaic output total amount is unsatisfactory for the first preset condition, that is, it is divided into two kinds of situations, it is a kind of
Situation be photovoltaic output insufficient total amount with meet industrialized agriculture it is micro- can in net it is all can the consumption of time shift load energy summation, at this time
Need at power grid buy electric energy be supplied to industrialized agriculture it is micro- can net in can time shift load.Another situation is that photovoltaic is contributed always
Measure meet industrialized agriculture it is micro- can net in it is all can time shift load consumption energy summation after, also remaining energy can go out
It sells, that is, exists and sell surplus.That is, it is pre- to meet second just when photovoltaic output total amount is unsatisfactory for the first preset condition
If condition, i.e. the first preset condition and the second preset condition are mutual exclusion conditions.
In general, photovoltaic output total amount meet the first preset condition when, industrialized agriculture it is micro- can net in it is all can time shift load disappear
The energy summation of consumption and the ratio of the photovoltaic output total amount meet formula (1), then are preset when photovoltaic output total amount meets second
During condition, industrialized agriculture it is micro- can in net it is all can the ratio of energy summation and the photovoltaic output total amount of time shift load consumption expire
Sufficient formula (4).
Or
When the micro- photovoltaic output total amount that can be netted of the industrialized agriculture meets the second preset condition, need according to industrialized agriculture
The form of energy that micro- energy net is externally presented is the situation in lotus or source, reaches the energy equilibrium of supply and demand from power grid power purchase or sale of electricity, simultaneously
Make the micro- day operation cost minimization that can be netted of industrialized agriculture with reference to Spot Price situation, that is, meet the second target.Wherein, day operation into
Originally it can be represented by day operation cost function, such as formula (5).
Wherein, f20For day operation cost, atFor the corresponding purchase electricity prices of scheduling slot t, btIt sells for scheduling slot t is corresponding
Electricity price, xdjWithFor mutual exclusion state variable, value is:
The present invention final purpose be by adjusting industrialized agriculture it is micro- can net in can time shift load working hour and
The storage state of each energy storage device in the micro- energy net of industrialized agriculture so that the value of day operation cost function is minimum, i.e.,
The object function f2 for having the second Optimal Operation Model is:
In practical processing procedure, purchase electricity price atWith sale of electricity electricity price btIt can be adjusted as needed, it can be identical
It can also be different, specifically can value be carried out according to following three kinds of models:
Model one, time-of-use tariffs model:6:00-22:00 is peak, 1 yuan/kWh of electricity price;22:00-6:00 is paddy, electricity price 0.3
Member/kWh.Such as formula (8), wherein ftFor electricity price.
Model two, peak Pinggu Spot Price Model:11:00-12:00 is peak, 1 yuan/kWh of electricity price;6:00-11:00,20:00-
22:00 is flat, 0.6 yuan/kWh of electricity price;22:00-24:00,0:00-6:00 is paddy, 0.3 yuan/kWh of electricity price.Such as formula (9).
Model three, multimodal Spot Price Model:10:00-12:00,18:00-20:00 is peak, 1 yuan/kWh of electricity price;6:00-10:
00,12:00-18:00,20:00-22:00 is flat, 0.6 yuan/kWh of electricity price;22:00-24:00,0:00-6:00 is paddy, electricity price
0.3 yuan/kWh.Such as formula (11).
It should be noted that own when in the micro- photovoltaic output total amount that can be netted of the industrialized agriculture and the micro- energy net of industrialized agriculture
Can time shift load consumption energy summation it is unequal when, industrialized agriculture it is micro- can net be required between power grid generate exchanges power,
In order to ensure the power quality of power grid, so that the micro- interaction power that can be between net and power grid of the industrialized agriculture is as small as possible.By
When the micro- photovoltaic output total amount that can be netted of industrialized agriculture meets the first preset condition, photovoltaic output total amount and the micro- energy net of industrialized agriculture
It is interior it is all can time shift load consumption energy summation be not much different, the exchange power of generation is smaller, can be ignored.Only exist
When the micro- photovoltaic output total amount that can be netted of industrialized agriculture meets the second preset condition, need to consider.Therefore in the micro- energy net of industrialized agriculture
Photovoltaic output total amount when meeting the second preset condition, the value that not only make day operation cost function formulation (5) is minimum, also
Make power variation accumulation and the minimum of all scheduling slots in adjacent T dispatching cycle, that is, meet third target.Wherein, power
Variable quantity is accumulated and can be by power variation accumulation and function representation, and power variation is accumulated and function such as formula (11a) institute
Show.
Wherein, f30Power variation accumulation and L for all scheduling slots in the adjacent dispatching cycletIt is set for adjustment
Apply agricultural it is micro- can net in it is each can after time shift load corresponding working hour, in scheduling slot t it is all can time shift load consumption
Power summation.
The power variation accumulation of all scheduling slots and corresponding public affairs during the value minimum of function in adjacent T dispatching cycle
Formula be formula (11b), i.e. the second target function f3 of the second Optimal Operation Model.
On the basis of above-described embodiment, the method further includes:
Obtain that each scheduling slot before adjustment is all the power summation that consumes and to be transferred to after adjustment every during time shift load
One scheduling slot can time shift load consumption energy, adjustment after produce each scheduling slot can time shift load consumption energy
Amount;
Calculated based on equation below be operated in after adjustment each scheduling slot can the consumption of time shift load energy, and build
The industrialized agriculture it is micro- can be in net can time shift load model;
Lt=Lfore.t+LIN.t-LOUT.t (12)
In formula, Lfore.tFor before adjustment in scheduling slot t it is all can time shift load when the power summation that consumes, LIN.tTo adjust
Be transferred to after whole scheduling slot t can time shift load consumption power summation, LOUT.tIt can time shift for produce scheduling slot t after adjustment
The power summation of load consumption.
Specifically, it is contemplated that different type can time shift load run duration (when run duration refers to work
Section) different, the accommodating difference of energy, Optimized Operation can time shift load when, not only to consider working hour in dispatching cycle
One scheduling slot be transferred to can time shift load, produce can time shift load situation, it is also contemplated that working hour be more than a tune
Spend the period be transferred to can time shift load, produce can time shift load situation, also to consider that different types of Energy Load is (i.e. above-mentioned
Energy storage device as can time shift load when belonging to load type) between mutually inversion of phases situation.Therefore, LIN.tAnd LOUT.t's
Expression formula is:
In formula, Lin_E.tAnd Lout_E.tRepresent that the electric load type that only electric energy participates in the micro- energy net of the industrialized agriculture is being dispatched
Being transferred in period t and produces value at value;Lin_Q.tAnd Lout_Q.tIt represents (to provide eventually by burning in hot energy storage device methane-generating pit
Thermal energy) participated in phase-transition heat-storage greenhouse under, thermic load type being transferred in scheduling time t and produces value at value;Lin_P.tWith
Lout_P.tRepresent being transferred to value and produce value in dispatching cycle t of the potential energy load in cistern energy storage presence.
In formula, mel.1 is can time shift electric load type sum;Mel.2 be more than scheduling slot working hour can
Time shift electric load species number;Mql.1 is can time shift thermic load type sum;Mql.2 is more than a scheduling slot for working hour
Can time shift thermic load species number;Mpl.1 is can time shift potential energy load type sum;Mpl.2 is more than a tune for working hour
That spends the period can time shift potential energy load species number;hemaxFor can time shift electric load working hour Neutron Experimental Work period number most
Big value, if using 1h as a scheduling slot, hemax≥2;hqmaxWith hpmaxRespectively can time shift thermic load with can time shift potential energy
The maximum value of the working hour of load;xke.t′.tFor gone to from scheduling slot t ' scheduling slot t k classes can time shift electric load number,
xkq.t′.tFor gone to from scheduling slot t ' scheduling slot t k classes can time shift thermic load number, xkp.t′.tTo be gone to from scheduling slot t '
The k classes of scheduling slot t can time shift potential energy load number;e1.kFor kth class can power of the time shift electric load in the 1st sub- working hour,
q1.kFor kth class can time shift thermic load in the power of the 1st sub- working hour, p1.kFor kth class can time shift potential energy load at the 1st
The power of sub- working hour.e(h+1).kFor kth class can time shift electric load while it is working in section h+1 sub- working hours work(
Rate, q(h+1).kFor kth class can time shift thermic load while it is working in section h+1 sub- working hours power, p(h+1).kFor kth
Class can time shift potential energy load while it is working in section h+1 sub- working hours power.xZHAO_i.tFor scheduling slot t methane-generating pits
Input state amount, carrying out input as 1, other state values are 0.xXIANG_i.tFor the defeated of scheduling slot t phase-transition heat-storage greenhouses
Enter quantity of state, it is 1 to carry out input, other state values are 0.xSHUI_i.tFor the input state amount of scheduling slot t cisterns, just
It is 1 carrying out input, other state values are 0.xZHAO_o.tFor the output state amount of scheduling slot t methane-generating pits, exported
It is 1, other state values are 0.xXIANG_o.tFor the output state amount of scheduling slot t phase-transition heat-storage greenhouses, it is 1 to carry out output,
Other state values are 0.xSHUI_o.tFor the output state amount of scheduling slot t cisterns, it is 1 to carry out output, other state values
It is 0.PSHUI.IFor the input power of cistern, PSHUI.OOutput power for cistern.PZHAO.IFor the input power of methane-generating pit,
PZHAO.OOutput power for methane-generating pit.PXIANG.IFor the input power of phase-transition heat-storage greenhouse, PXIANG.OFor phase-transition heat-storage greenhouse
Output power.
What needs to be explained here is that in the present invention can the type of time shift load may include:Can time shift electric load, can time shift
Potential energy load and can time shift thermic load this three categories, for industrialized agriculture it is micro- can be in net it is all can time shift load, might have
It is multiple can time shift load belong to a major class, it is possible to there are many can time shift load belong to can time shift electric load, can time shift
Potential energy load can time shift thermic load.Working hour of time shift load can refer to run duration, work sub-period refer to by
The work sub-period that run duration is finely divided again.
Due in the present embodiment, based on formula (12), (13) and (14), it is determined that be operated in the scheduling week after adjustment
In phase each scheduling slot can time shift load consumption power, this embodiment actually construct can time shift load model,
For can the structure of time shift load model provide a kind of effective method.
On the basis of above-described embodiment, can time shift load model be additionally operable to determine industrialized agriculture it is micro- can net in it is each can when
The working hour constraints of load is moved, when working hour constraints includes continuous firing period constraints and works intermittently
Section constraints, wherein shown in continuous firing period constraints such as formula (15).
xl.i·xl.i+1·…·xl.i+k=1 (15)
Wherein, l represent l-th can time shift load, i be can time shift load l start to work first scheduling slot.It if can
Time shift load l is limited due to production procedure, it is necessary to which k scheduling slot of continuous firing then needs to meet formula (15).
It works intermittently shown in period constraints such as formula (16).
xl.i=0, i ≠ h, j ..., f (16)
Wherein, formula (16) represent due to production procedure limit, can time shift load l must h, j ..., f scheduling slots
Interior work.
On the basis of above-described embodiment, the method further includes:
Obtain each energy storage device as can time shift load when the power that consumes, and using the performance number as corresponding to
Energy storage device input power;
Energy storing space and corresponding energy output maximum time based on each energy storage device, determine corresponding energy
The output power of storage device;
Input power and output power based on each energy storage device, the input for building each energy storage device are defeated
Go out power module.
The input-output power model of each energy storage device of structure specifically includes:It is every by equation below structure
The input-output power model of one energy storage device;
In formula, Pk.IFor the input power of energy storage device k, Pk.pumpBeing used as energy storage device k can time shift load
When the power that consumes;Pk.OFor the output power of energy storage device k, AkFor the energy storing space of energy storage device k, tk.O_MAXFor
Energy storage device k corresponding maximum output times, tk.I_MAXFor the maximum input time of energy storage device k, ηk.IFor energy
The energy storage efficiency of storage device k.
Specifically, the input-output power mould of each energy storage device in the micro- energy net of industrialized agriculture is given in the present embodiment
The construction method of type.Individually below for cistern energy storage input-output power model, methane-generating pit energy storage input-output power mould
Type and phase-transition heat-storage greenhouse energy storage input-output power model illustrate respectively.Wherein, the value of k is in formula (17)
SHUI, ZHAO and XIANG represent potential energy storage device, biomass chemical energy storage device and thermal energy storage device respectively.
1) cistern energy storage input-output power model
The potential energy that cistern can utilize water-storage convert electrical energy into water in the micro- energy net of modern installations agricultural stores, right
It establishes input-output power model such as following formula:
In formula, PSHUI.IFor the input power of cistern, numerically equal to cistern as can time shift load when the work(that consumes
The electric water pump of rate, i.e. cistern draws water power PSHUI.pump;PSHUI.OFor the output power of cistern, i.e., cistern is as energy
Energy supply power during source;ASHUIFor the energy storing space of cistern, numerically equal to full water cistern pours to substitute electronic draw water
The total electric energy needed when equipment is directly poured;tSHUI.O_MAXFor the maximum output time of cistern, i.e. full water cistern pours
It is discharged water during filling to the empty required time;tSHUI.I_MAXFor the maximum input time of cistern, i.e. electric water pump notes cistern
Water is from sky to the storage full water required time;ηSHUI.IEnergy storage efficiency for cistern.
2) methane-generating pit energy storage input-output power model
Methane-generating pit can utilize methane-generating pit heat pump to promote biogas production in the micro- energy net of modern installations agricultural, by electric energy and rural area
The chemical energy of biomass waste is changed into the biomass chemical energy of biogas.It is when greenhouse needs heating heating that biogas is direct
Burning provides thermal energy.Methane-generating pit input-output power model such as following formula is established based on this:
In formula, PZHAO.IFor the input power of methane-generating pit, i.e., numerically equal to methane-generating pit during time shift load as can consume
Promote the methane-generating pit heat pump power P of biogas production in power, i.e. methane-generating pitZHAO.pump;The output power P of methane-generating pitZHAO.OFor natural pond
Gas pond energizes power;Energy storing space AZHAOIt is numerically equal to and uses electricity for greenhouse heating to substitute when methane-generating pit stores up full gas burning
Required total electric energy when heating equipment directly increases mutually synthermal;tSHUI.O_MAXFor the maximum output time of methane-generating pit, i.e., only
From full storage tolerance to 0 is stored the tolerance consumption process required time to greenhouse heating heating using methane-generating pit;tZHAO.I_MAXFor natural pond
The maximum input time in gas pond promotes to store needed for tolerance to full storage tolerance gas storage from 0 during biogas production using methane-generating pit heat pump
The time wanted;ηZAHO.IEnergy storage efficiency for methane-generating pit.
3) phase-transition heat-storage greenhouse energy storage input-output power model
Phase-transition heat-storage greenhouse can convert electrical energy into thermal energy using phase-transition heat-storage heat pump in the micro- energy net of modern installations agricultural
Storage, establishes it input-output power model such as following formula:
In formula, PXIANG.IFor the input power of phase-transition heat-storage greenhouse, equal to phase-transition heat-storage greenhouse as can time shift load when
The phase-transition heat-storage heat pump power P of the power of consumption, i.e. phase-transition heat-storage greenhouseXIANG.pump;The output power of phase-transition heat-storage greenhouse
PXIANG.OTo energize power;Energy storing space AXIANGIt is that greenhouse heating is added to substitute using electricity to work as phase-transition heat-storage greenhouse to store up full thermal energy
Hot equipment required total electric energy equivalent when directly increasing mutually synthermal;tXIANG.O_MAXDuring maximum output for phase-transition heat-storage greenhouse
Between, i.e., it consumes energy using only phase-transition heat-storage greenhouse to greenhouse heating heating from full amount of stored heat to 0 amount of stored heat the process required time;
tXIANG.I_MAXFor the maximum input time of phase-transition heat-storage greenhouse, i.e., from 0 quantity of heat storage during using heat pump to phase-transition heat-storage greenhouse heat accumulation
To the full quantity of heat storage required time;ηXIANG.IEnergy storage efficiency for phase-transition heat-storage greenhouse.
Industrialized agriculture is micro- can not only have in net can time shift load, also with can not time shift load.It can not time shift load packet
Include can not time shift electric load, can not time shift potential energy load with can not time shift thermic load.For the entire industrialized agriculture it is micro- can net,
It needs to meet energy balance constraints.Shown in energy balance constraints such as formula (21).
Wherein, Ldex.t、Ldpx.tWith Ldqx.tRespectively scheduling slot t can not time shift electric load, can not time shift potential energy load
With can not time shift thermic load consumption power.Lmove_e.t、Lmove_p.tWith Lmove_q.tRespectively scheduling slot t can time shift electricity bear
Lotus, can time shift potential energy load with can time shift thermic load consumption power.S′pWith Sq' it is respectively potential energy storage device and thermal energy storage
Device stored energy at the end of this cycle T.WithRespectively potential energy storage device and thermal energy storage device are in this week
Phase T stored energy when starting.∑Le、∑LpWith ∑ LqThe power accumulated value of electric load consumption, gesture respectively in this cycle T
It can the power accumulated value of load consumption and the power accumulated value of thermic load consumption.
Here, it should be noted that described in the present invention can time shift thermic load or can not the not simple office of time shift thermic load
Be limited to thermic load, but with the relevant load of temperature, or can time shift refrigeration duty or can not time shift refrigeration duty.
Here, it should be noted that the energy storing space of each energy storage device all needs to meet corresponding storage
Space constraints meet formula (22).
Ek t-1+xk_i.t·Pk.I·ηk.I-xk_o.t·Pk.O≤Ak, (t=1,2 ... T) (22)
Wherein, T be the dispatching cycle, t be the dispatching cycle in a scheduling slot, ESHUI t-1Represent dispatching cycle
The energy of middle t-1 scheduling slots energy storage device k memory storages, xk_i.tRepresent the input shape of scheduling slot t energy storage devices k
State amount, xk_o.tRepresent the output state amount of scheduling slot t energy storage devices k.
Shown in the space constraints of cistern such as formula (23):
ESHUI t-1+xSHUI_i.t·PSHUI.I·ηSHUI.I-xSHUI_o.t·PSHUI.O≤ASHUI, (t=1,2 ... T) (23)
In formula, ESHUI t-1Represent the energy of upper scheduling slot cistern storage in dispatching cycle.Formula (23) shows
After current dispatching cycle T, cistern is less than the water storage sky of cistern by energy input with gross energy after output
Between, and for the arbitrary scheduling slot in dispatching cycle, the energy of cistern storage is also less than the water space of cistern.
Shown in the energy storing space constraints such as formula (24) of methane-generating pit:
EZHAO t-1+xZHAO_i.t·PZHAO.I·ηZHAO.I-xZHAO_o.t·PZHAO.O≤AZHAO(t=1,2 ... T) (24)
In formula, ESHUI t-1When representing the energy, i.e. current scheduling of upper scheduling slot methane-generating pit storage in dispatching cycle
The primary power of methane-generating pit in section.Formula (24) shows after current dispatching cycle T, methane-generating pit by energy input with
Gross energy is less than methane-generating pit gas storage space after output, and for any scheduling slot in dispatching cycle, methane-generating pit storage
The energy deposited also wants the gas storage space of cell methane-generating pit.
Shown in the energy storing space constraints such as formula (25) of phase-transition heat-storage greenhouse:
EXIANG t-1+xxiang_i.t·PXIANG.I·ηXIANG.I-xxiang_o.t·PXIANG.O≤AXIANG(t=1,2 ... T) (25)
In formula, ESHUI t-1Represent the energy of phase-transition heat-storage greenhouse storage dispatching cycle, i.e., in current dispatching cycle
The primary power of phase-transition heat-storage greenhouse.After current dispatching cycle, phase-transition heat-storage greenhouse by energy input with output with
Gross energy is less than the energy storing space of phase-transition heat-storage greenhouse afterwards.And for each period in dispatching cycle, methane-generating pit storage
Energy be also less than the energy storing space of phase-transition heat-storage greenhouse.
The present invention can essentially be interpreted as, and construct the micro- Optimal Operation Model that can be netted of an industrialized agriculture, the optimization
Scheduling model includes the majorized function root of the first Optimal Operation Model and the second Optimal Operation Model, wherein Optimal Operation Model
Meet the first preset condition according to the micro- photovoltaic output total amount that can be netted of industrialized agriculture or the second preset condition is chosen, when facility agriculture
When the micro- photovoltaic output total amount that can be netted of industry meets the first preset condition, optimization object function is formula (3), and constraints is specially
Meet formula (12)-(25).When the micro- photovoltaic output total amount that can be netted of industrialized agriculture meets the second preset condition, optimization aim letter
Number is formula (7) and (11b), and constraints, which is specifically similarly, meets formula (12)-(25).
In the present invention, it is excellent to participate in energy scheduling using the micro- energy that can net existing energy storage device storage of industrialized agriculture
Energy storage cost can be reduced by changing progress photovoltaic consumption, efficiently use the multiple resources in the micro- energy net of industrialized agriculture.Meanwhile optimize and adjust
Spend industrialized agriculture it is micro- can be in net can time shift load and energy storage device, can be in the fully sharp micro- energy net system of industrialized agriculture
Part throttle characteristics and energy storage characteristic realize that photovoltaic maximizes consumption as far as possible.
As shown in Fig. 2, the micro- energy dispatching method that can be netted of industrialized agriculture is provided in another embodiment of the present invention, it is specific to walk
It is rapid as follows:
Predict to obtain the sun spoke in dispatching cycle according to solar irradiance historical data in local installation agriculture data library
Illumination data, and the photovoltaic generation in dispatching cycle is obtained according to the relationship (i.e. formula (2)) that solar irradiance and photovoltaic are contributed
Prediction power.
According to historical load data in local installation agriculture data library, prediction is adjusted each in the micro- energy net of industrialized agriculture
Can before time shift load corresponding working hour, in dispatching cycle it is all can time shift load consumption energy summation.
Comparing photovoltaic output total amount, (photovoltaic output total amount is accumulation of the photovoltaic generation prediction power within dispatching cycle herein
Amount) with it is all can time shift load consumption energy summation size, carry out scene classification, scene 1 for meet the first preset condition,
The optimization object function of Optimal Operation Model is formula (3);Scene 2 for meet the second preset condition, Optimal Operation Model it is excellent
Change object function is formula (7) and (11b).
By the input-output power model of each energy storage device of structure and the industrialized agriculture it is micro- can net in can when
Load model is moved as constraints, Optimal Operation Model is established, and based on the energy optimizing scheduling according to optimization object function
Model obtains meeting each of optimization object function and time shift load corresponding working hour and can determine to make the scheduling function
During value minimum the corresponding industrialized agriculture it is micro- can in net each energy storage device storage state, complete optimization.
Wherein, it is all types of can time shift load corresponding working hour and the industrialized agriculture it is micro- can net in each energy deposit
The storage state of storage device can build the state moment matrix as shown in formula (26).
Wherein, L represents the state moment matrix of all types of load each scheduling slots within a dispatching cycle, such as formula (27) institute
Show:
In formula, N represent dispatching cycle in scheduling slot quantity, M represent industrialized agriculture it is micro- can net in include can time shift electricity
Load, can time shift thermic load with can be including time shift potential energy load it is all can time shift load sum,Respectively
Represent the 1st the 1st type of scheduling slot can time shift electric load, can time shift thermic load with can time shift potential energy load quantity of state
(value of quantity of state represents in not operating status that 1 represents in operating status for 0 or 1,0), Table respectively
Show i-th the 1st type of scheduling slot can time shift electric load, can time shift thermic load with can time shift potential energy load quantity of state,Be illustrated respectively in the 1st type of N scheduling slots can time shift electric load, can time shift thermic load with can time shift
The quantity of state of potential energy load,Be illustrated respectively in the 1st, i, N number of scheduling slot v types can time shift potential energy
The quantity of state of load.
S is storage state matrix of each energy storage device in day part, as shown in formula (28):
In formula, N represents the quantity of scheduling slot in dispatching cycle,It is illustrated respectively in
(value 0 or 1 represents respectively in not work the input state amount of 1 scheduling slot cistern, methane-generating pit and phase-transition heat-storage greenhouse
Make or in input state), It is illustrated respectively in the 1st scheduling slot cistern, methane-generating pit
With the output state amount of phase-transition heat-storage greenhouse (value 0 or 1 represents to be in respectively not work or in output state).It is illustrated respectively in the i-th scheduling slot cistern, the input of methane-generating pit and phase-transition heat-storage greenhouse
Quantity of state,The i-th scheduling slot cistern is illustrated respectively in, methane-generating pit and phase-transition heat-storage are big
The output state amount of canopy. It is illustrated respectively in the i-th scheduling slot cistern, methane-generating pit and phase
Become the input state amount of accumulation of heat greenhouse,N scheduling slot cisterns are illustrated respectively in,
The output state amount of methane-generating pit and phase-transition heat-storage greenhouse.Wherein, the input for each energy storage device, output state amount take
Value, due to that can not possibly be in input and output state simultaneously, i.e. input, output state measurement value is not simultaneously 1, that is, has formula
(29) it sets up.
In another embodiment of the present invention, provide a kind of industrialized agriculture it is micro- can net energy dispatching method, in this method
Optimal Operation Model is solved using genetic algorithm, specific steps are as shown in figure 3, and make as described below:
1) coding of variable is controlled
With can time shift electric load, can time shift thermic load, can time shift potential energy load, the input and output of cistern energy storage, biogas
The input and output of pond energy storage and the input and output of phase-transition heat-storage greenhouse energy storage become in order to control in the quantity of state of each scheduling slot
Amount.The value 0 or 1 of quantity of state, represent respectively this can time shift load be in not operating status or in fortune in the scheduling slot
Either energy storage device is in off position or in input/output state to row state in the scheduling slot.The optimization
Problem is the multi object nonlinear integer programming of a control variables of a N* (M+6), and N represents the number of scheduling slot in dispatching cycle
Amount, M represent can time shift electric load, can time shift thermic load with can time shift potential energy load sum.
Control variable XN×(M+6)Form N* (M+6) a 0-1 matrixes.
2) generation of initial population
XN×(M+6)1 number of each row determines that position is also random at random.
3) calculating of individual adaptation degree
Object function f1, f2, f3 be respectively seek photovoltaic output total amount with can time shift load consumption energy summation difference
The changed power accumulation of minimum, the micro- day-rate cost minimum that can be netted of industrialized agriculture and the micro- energy net of industrialized agriculture is minimum, i.e. target letter
The value of number f1, f2, f3 are smaller, illustrate that the individual character in population is better, should there is bigger fitness value accordingly.Therefore
The present invention constructs fitness letter using target function value f1, f2, f3 inverted method evaluated individual fitness
Number, as shown in formula (30).
For scene 1:For scene 2:Wherein λ is weight coefficient.
4) genetic operator and genetic manipulation
1. intersect
Intersect and intersected using parents' Shuangzi single-point.Crosspoint is randomly choosed to two parent chromosomes, then exchanges parent
The genetic fragment of chromosome generates two newly for chromosome.
2. it replicates
Conceptual vector is set to whether meeting constraints into line flag.The individual for being unsatisfactory for constraints is kicked out of, is calculated
And each ideal adaptation angle value in current population is stored, preferably n individual is selected to copy to the next generation.
3. it makes a variation
Whether make a variation by mutation probability PmIt determines, randomly selects variation individual, randomly select change dystopy, judged whether
Meet memory space constraints, such as formula (22), (23), (24) and (25), it is invalid to be unsatisfactory for then this time making a variation.
The micro- energy net load of industrialized agriculture before Optimized Operation and the micro- energy net load curve pair of industrialized agriculture after Optimized Operation
Than as shown in Figure 4, Figure 5.Before the difference of photovoltaic output and load after Optimized Operation is significantly less than Optimized Operation, fine effect is realized
The photovoltaic consumption of fruit.It before 2 times Optimized Operations of scene, is calculated according to time-of-use tariffs, user cost is 625.28 yuan, Optimized Operation
Afterwards, user cost is 300.41 yuan, reduces 324.87 yuan.
As shown in fig. 6, on the basis of above-described embodiment, another embodiment of the present invention provides a kind of micro- energy of industrialized agriculture
The energy scheduling system of net, including:Model construction module 61 and determining module 62.Wherein,
If adjustment module 61 is for judging to be informed in the dispatching cycle of the micro- energy net of industrialized agriculture, the micro- energy of industrialized agriculture
When the photovoltaic output total amount of net meets the first preset condition, the input based on each energy storage device in the micro- energy net of industrialized agriculture is defeated
Go out power module and the industrialized agriculture it is micro- can net in can time shift load model, with the industrialized agriculture it is micro- can net in it is all can
Extent of deviation between the micro- photovoltaic generation power that can be netted of power summation and the industrialized agriculture of time shift load consumption is minimum
First object establishes micro- the first Optimal Operation Model that can be netted of the industrialized agriculture;
Determining module 62 is used to, based on first Optimal Operation Model, within the dispatching cycle, adjust the facility
Agricultural it is micro- can net in it is each can time shift load corresponding working hour and the industrialized agriculture it is micro- can net in each energy storage device
Storage state, determine to meet the industrialized agriculture during first object it is micro- can it is each in net can the corresponding work of time shift load
The storage state of each energy storage device in period and the micro- energy net of the industrialized agriculture;
Wherein, first preset condition meets for the photovoltaic output total amount and is only capable of meeting the micro- energy of the industrialized agriculture
In net it is all can time shift load consumption energy summation;The input-output power model is used to calculate each energy storage device
Input power and output power;It is described can time shift load model for determine adjustment after be operated in it is each in the dispatching cycle
Scheduling slot can time shift load consumption power.
Specifically, the effect of each module and operating process and above method class embodiment are one-to-one correspondence in the present embodiment
, details are not described herein for the present embodiment.
On the basis of above-described embodiment, another embodiment of the present invention provides a kind of non-transient computer readable storage medium
Matter, the non-transient computer readable storage medium storing program for executing store computer instruction, and it is above-mentioned that the computer instruction performs computer
The described method of any embodiment.
Finally, method of the invention is only preferable embodiment, is not intended to limit the scope of the present invention.It is all
Within the spirit and principles in the present invention, any modification, equivalent replacement, improvement and so on should be included in the protection of the present invention
Within the scope of.
Claims (10)
1. a kind of micro- energy dispatching method that can be netted of industrialized agriculture, which is characterized in that including:
S11, if judging to be informed in the dispatching cycle of the micro- energy net of industrialized agriculture, the micro- photovoltaic that can be netted of the industrialized agriculture is contributed always
When amount meets the first preset condition, input-output power model and institute based on each energy storage device in the micro- energy net of industrialized agriculture
State industrialized agriculture it is micro- can net in can time shift load model, with the industrialized agriculture it is micro- can net in it is all can time shift load consumption
The minimum first object of extent of deviation between power summation and the micro- photovoltaic generation power that can be netted of the industrialized agriculture, establishes institute
State micro- the first Optimal Operation Model that can be netted of industrialized agriculture;
S12 based on first Optimal Operation Model, within the dispatching cycle, is adjusted every in the micro- energy net of the industrialized agriculture
One can time shift load corresponding working hour and the industrialized agriculture it is micro- can net in each energy storage device storage state, determine
The industrialized agriculture is micro- when meeting the first object each in net time shift load corresponding working hour and described can set
Apply the storage state of each energy storage device in the micro- energy net of agricultural;
Wherein, first preset condition meets for the photovoltaic output total amount and is only capable of meeting in the micro- energy net of the industrialized agriculture
It is all can time shift load consumption energy summation;The input-output power model is used to calculate the input of each energy storage device
Power and output power;It is described can time shift load model for determine adjustment after be operated in each scheduling in the dispatching cycle when
Section can time shift load consumption power.
2. according to the method described in claim 1, it is characterized in that, first preset condition is specially:The industrialized agriculture
It is micro- can in net it is all can the consumption of time shift load energy summation and the photovoltaic output total amount ratio in the range of pre-set interval.
3. according to the method described in claim 1, it is characterized in that, the method further includes:
If judgement was informed in the dispatching cycle, the micro- photovoltaic output total amount that can be netted of the industrialized agriculture meets the second default item
During part, input-output power model and the industrialized agriculture based on each energy storage device in the micro- energy net of the industrialized agriculture are micro-
Can net in can time shift load model, using the industrialized agriculture it is micro- can net day operation cost minimization as the second target, with adjacent
The power variation accumulation of all scheduling slots and minimum third target in dispatching cycle, establish the micro- energy net of the industrialized agriculture
The second Optimal Operation Model;
Based on second Optimal Operation Model, within the dispatching cycle, adjust the industrialized agriculture it is micro- can it is each in net can
The storage state of each energy storage device, determines simultaneously in time shift load corresponding working hour and the micro- energy net of the industrialized agriculture
Meet industrialized agriculture when second target and the third target it is micro- can it is each in net can the corresponding work of time shift load
The storage state of each energy storage device in period and the micro- energy net of the industrialized agriculture;
Wherein, second preset condition cannot meet all in the micro- energy net of the industrialized agriculture for the photovoltaic output total amount
Can time shift load consumption energy summation or the photovoltaic output total amount meet it is described it is all can time shift load consumption energy
Exist after amount and sell surplus.
4. according to the method described in claim 1, it is characterized in that, the method further includes:
Obtain each energy storage device as can time shift load when the power that consumes, and using the power as corresponding energy
The input power of storage device;
Energy storing space and corresponding energy output maximum time based on each energy storage device, determine corresponding energy stores
The output power of device;
Input power and output power based on each energy storage device build the input and output work(of each energy storage device
Rate model.
5. the according to the method described in claim 4, it is characterized in that, input and output work(of each energy storage device of structure
Rate model specifically includes:The input-output power model of each energy storage device is built by equation below;
Wherein, Pk.IFor the input power of energy storage device k, Pk.pumpBeing used as energy storage device k can disappear during time shift load
The power of consumption;Pk.OFor the output power of energy storage device k, AkFor the energy storing space of energy storage device k, tk.O_MAXFor energy
Storage device k corresponding maximum output times, tk.I_MAXFor the maximum input time of energy storage device k, ηk.IFor energy stores
The energy storage efficiency of device k.
6. according to the method described in claim 5, it is characterized in that, the energy storing space of each energy storage device is satisfied by energy storage
Space constraints, the energy storing space constraints equation below:
Ek t-1+xk_i.t·Pk.I·ηk.I-xk_o.t·Pk.O≤Ak, (t=1,2 ... T+
Wherein, T be the dispatching cycle, t be the dispatching cycle in a scheduling slot, ESHUI t-1Represent t-1 in dispatching cycle
The energy of scheduling slot energy storage device k memory storages, xk_i.tRepresent the input state amount of scheduling slot t energy storage devices k,
xk_o.tRepresent the output state amount of scheduling slot t energy storage devices k.
7. according to the method described in any one of claim 1-6, which is characterized in that the method further includes:
Obtain that each scheduling slot before adjustment is all the power summation that consumes and to be transferred to each tune after adjustment during time shift load
Spend the period can time shift load consumption power summation, adjustment after produce each scheduling slot can time shift load consumption power
Summation;
Calculated based on equation below be operated in after adjustment each scheduling slot can the consumption of time shift load power summation, and build
The industrialized agriculture it is micro- can be in net can time shift load model;
Lt=Lfore.t+LIN.t-LOUT.t
Wherein, Lfore.tFor before adjustment in scheduling slot t it is all can time shift load when the power summation that consumes, LIN.tTo turn after adjustment
Enter scheduling slot t can time shift load consumption power summation, LOUT.tFor produced after adjustment scheduling slot t can time shift load disappear
The power summation of consumption.
8. the method according to the description of claim 7 is characterized in that energy storage device packet in the micro- energy net of the industrialized agriculture
Include potential energy storage device, biomass chemical energy storage device and thermal energy storage device, it is described can time shift load include can time shift electricity
Load, can time shift thermic load and can time shift potential energy load;LIN.tAnd LOUT.tIt is calculated by equation below:
Wherein, Lin_E.t、Lin_Q.tAnd Lin_P.tRespectively represent adjustment after be transferred to scheduling slot t can time shift electric load, can time shift heat
Load and can time shift potential energy load consumption power summation, Lout_E.t、Lout_Q.tAnd Lout_P.tScheduling is produced after representing adjustment respectively
Period t can time shift electric load, can time shift thermic load and can time shift potential energy load consumption power summation.
9. according to the method described in claim 8, it is characterized in that, it is described can time shift load corresponding working hour, Yi Jisuo
Following state moment matrix can be built by stating the storage state of each energy storage device in the micro- energy net of industrialized agriculture;
Wherein, L be can time shift load each scheduling slot within a dispatching cycle state moment matrix, S be each energy stores
Device is the facility agriculture in the storage state matrix of each scheduling slot, quantity of the N for scheduling slot in a dispatching cycle, M
Industry it is micro- can net in it is all can time shift load sum.
10. a kind of micro- energy scheduling system that can be netted of industrialized agriculture, which is characterized in that including:
Model construction module, if for judging to be informed in the dispatching cycle of the micro- energy net of industrialized agriculture, the micro- energy of industrialized agriculture
When the photovoltaic output total amount of net meets the first preset condition, the input based on each energy storage device in the micro- energy net of industrialized agriculture is defeated
Go out power module and the industrialized agriculture it is micro- can net in can time shift load model, with the industrialized agriculture it is micro- can net in it is all can
Extent of deviation between the micro- photovoltaic generation power that can be netted of power summation and the industrialized agriculture of time shift load consumption is minimum
First object establishes micro- the first Optimal Operation Model that can be netted of the industrialized agriculture;
For being based on first Optimal Operation Model, within the dispatching cycle, it is micro- to adjust the industrialized agriculture for determining module
Can net in it is each can time shift load corresponding working hour and the industrialized agriculture it is micro- can net in each energy storage device storage
State, determine to meet the industrialized agriculture during first object it is micro- can in net it is each can time shift load corresponding working hour,
And the industrialized agriculture it is micro- can in net each energy storage device storage state;
Wherein, first preset condition meets for the photovoltaic output total amount and is only capable of meeting in the micro- energy net of the industrialized agriculture
It is all can time shift load consumption energy summation;The input-output power model is used to calculate the input of each energy storage device
Power and output power;It is described can time shift load model for being operated in each scheduling in the dispatching cycle after determining adjustment
Period can time shift load consumption power.
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Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109672215A (en) * | 2018-11-20 | 2019-04-23 | 中国农业大学 | Based on load can time shift characteristic distributed photovoltaic dissolve control method |
CN109950899A (en) * | 2019-03-18 | 2019-06-28 | 兰州理工大学 | It is micro- can net in can time shift industrialized agriculture electric load dispatching method |
CN111108969A (en) * | 2020-01-16 | 2020-05-08 | 国网甘肃省电力公司电力科学研究院 | Facility agricultural greenhouse and polymorphic energy storage optimization control method |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104155932A (en) * | 2014-07-10 | 2014-11-19 | 国家电网公司 | Distributed photovoltaic grid-connected power generation monitoring system, energy consumption managing method and photovoltaic grid-connected power generation monitoring equipment |
CN203965921U (en) * | 2014-07-10 | 2014-11-26 | 国家电网公司 | The distributed photovoltaic supervisory system of generating electricity by way of merging two or more grid systems |
CN104166387A (en) * | 2014-07-10 | 2014-11-26 | 国家电网公司 | Distributed photovoltaic grid-connected generation monitoring system power consumption measurement apparatus |
CN106447122A (en) * | 2016-10-12 | 2017-02-22 | 国网上海市电力公司 | Area type energy Internet and integrated optimization planning method thereof |
CN106712087A (en) * | 2017-01-17 | 2017-05-24 | 无锡协鑫分布式能源开发有限公司 | Micro-energy grid switching mode |
CN107203136A (en) * | 2017-06-08 | 2017-09-26 | 国网甘肃省电力公司电力科学研究院 | A kind of Optimization Scheduling and device of wisdom agricultural greenhouse micro power source net |
-
2017
- 2017-12-29 CN CN201711475664.3A patent/CN108134403B/en active Active
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104155932A (en) * | 2014-07-10 | 2014-11-19 | 国家电网公司 | Distributed photovoltaic grid-connected power generation monitoring system, energy consumption managing method and photovoltaic grid-connected power generation monitoring equipment |
CN203965921U (en) * | 2014-07-10 | 2014-11-26 | 国家电网公司 | The distributed photovoltaic supervisory system of generating electricity by way of merging two or more grid systems |
CN104166387A (en) * | 2014-07-10 | 2014-11-26 | 国家电网公司 | Distributed photovoltaic grid-connected generation monitoring system power consumption measurement apparatus |
CN106447122A (en) * | 2016-10-12 | 2017-02-22 | 国网上海市电力公司 | Area type energy Internet and integrated optimization planning method thereof |
CN106712087A (en) * | 2017-01-17 | 2017-05-24 | 无锡协鑫分布式能源开发有限公司 | Micro-energy grid switching mode |
CN107203136A (en) * | 2017-06-08 | 2017-09-26 | 国网甘肃省电力公司电力科学研究院 | A kind of Optimization Scheduling and device of wisdom agricultural greenhouse micro power source net |
Non-Patent Citations (2)
Title |
---|
刘柏良 等: "计及可时移负荷的海岛微网电源优化配置", 《中国电机工程学报》 * |
唐巍 等: "考虑用户满意度的户用型微电网日前优化调度", 《高电压技术》 * |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109672215A (en) * | 2018-11-20 | 2019-04-23 | 中国农业大学 | Based on load can time shift characteristic distributed photovoltaic dissolve control method |
CN109950899A (en) * | 2019-03-18 | 2019-06-28 | 兰州理工大学 | It is micro- can net in can time shift industrialized agriculture electric load dispatching method |
CN111108969A (en) * | 2020-01-16 | 2020-05-08 | 国网甘肃省电力公司电力科学研究院 | Facility agricultural greenhouse and polymorphic energy storage optimization control method |
CN111108969B (en) * | 2020-01-16 | 2022-03-08 | 国网甘肃省电力公司电力科学研究院 | Facility agricultural greenhouse and polymorphic energy storage optimization control method |
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