CN108832654A - A kind of method and system for photovoltaic generating system economic benefit Optimized Operation - Google Patents
A kind of method and system for photovoltaic generating system economic benefit Optimized Operation Download PDFInfo
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B10/00—Integration of renewable energy sources in buildings
- Y02B10/10—Photovoltaic [PV]
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/50—Photovoltaic [PV] energy
- Y02E10/56—Power conversion systems, e.g. maximum power point trackers
Abstract
The invention discloses a kind of method for photovoltaic generating system economic benefit Optimized Operation, the method includes：Determine the scheduling strategy of photovoltaic generating system；According to the scheduling strategy, the optimisation strategy of the photovoltaic generating system is established；The remaining capacity that the optimisation strategy is used to be greater than the generated energy of the photovoltaic generating system power load is optimized according to the first allocation proportion；The insufficient electricity that the optimisation strategy is used to be less than the generated energy of the photovoltaic generating system power load is optimized according to the second allocation proportion；It establishes and the income in the period is being set as optimization aim, using the first allocation proportion and the second allocation proportion as the Optimized Operation objective function of decision variable using the photovoltaic generating system；Using the scheduling strategy, optimizes first allocation proportion and second allocation proportion, realize the maximization of the photovoltaic generating system user income.
Description
Technical field
The present invention relates to energy Internet technical fields, imitate more particularly, to one kind for photovoltaic generating system economy
The method and system of beneficial Optimized Operation.
Background technique
With the fast development of China energy internet, very big change is had occurred in people's lives.Production of energy mode from
Based on fossil energy, it is changed into based on the renewable energy such as wind energy, solar energy, family, building, the distribution in factory can be again
The raw energy has become the important energy and is supplied to mode.Energy source configuration mode will be configured from hair, with separated long range electric energy
Mode, is changed into the electric energy configuration mode that electric energy conveys on a large scale and in-situ balancing combines, and dispatching of power netwoks will be to electricity consumption side
Extend, control is provided and is supported for user side power supply and on-site elimination.Life is deeply socially reintegrated everywhere in future source of energy internet, uses
Family be not only to buy electric person, is also used as selling electric person the generated energy of own home is connected to the grid, by carrying out electricity with power grid
Power transaction obtains income.
Due to the support energetically of national policy, various new energy, distributed generation resource all are being accelerated to promote, and China will be further
Push the developing steps of distributed generation resource.Currently, China's photovoltaic electric has entered the developing stage of Large scale construction, the sun in 2013
Energy generator installation reaches 10GW, and keeps the rate of rise of annual newly-increased installation 10-15GW, it is contemplated that the year two thousand twenty solar power generation
Installation can achieve 100-150GW, can account for 10% of total installed capacity or so.However, how the prior art is realized to timesharing not yet
The economic benefit Optimal Operation Model that photovoltaic generating system is established under electricity price, makes user reach maximum revenue.
Therefore, it is necessary to a kind of technologies, to realize the technology for being used for photovoltaic generating system economic benefit Optimized Operation.
Summary of the invention
Technical solution of the present invention provides a kind of method and system for photovoltaic generating system economic benefit Optimized Operation,
To solve the problems, such as how to obtain photovoltaic generating system economic benefit Optimized Operation.
To solve the above-mentioned problems, the present invention provides a kind of sides for photovoltaic generating system economic benefit Optimized Operation
Method, the method includes：
Determine the scheduling strategy of photovoltaic generating system；
According to the scheduling strategy, the optimisation strategy of the photovoltaic generating system is established；The optimisation strategy is used for institute
The generated energy for stating photovoltaic generating system is optimized greater than the remaining capacity of power load according to the first allocation proportion；The optimization
Insufficient electricity of the strategy for the generated energy to the photovoltaic generating system to be less than power load is carried out according to the second allocation proportion
Optimization；
It establishes and the income in the period is being set as optimization aim using the photovoltaic generating system, with the first allocation proportion and the
Two allocation proportions are the Optimized Operation objective function of decision variable；
Using the scheduling strategy, optimizes first allocation proportion and second allocation proportion, realize the photovoltaic
The maximization of electricity generation system user's income.
Preferably, the foundation sets the income in the period as optimization aim, with first point using the photovoltaic generating system
It is the Optimized Operation objective function of decision variable with ratio and the second allocation proportion, including：
Wherein, C is ultimate yield of the photovoltaic generating system within the setting period；The setting period is divided into T by the hour
Stage；Csub(t)、Csell(t)、Cbuy(t)、COM(t) photovoltaic generating system is followed successively by the government subsidy income of t period, user
Grid-connected sale of electricity income, user buy electric cost and entire operation of electric power system maintenance cost；F is that photovoltaic is sent out by country and local government
The full electricity price subsidy of electricity, specific subsidy standard is depending on local circumstance；C0For the grid-connected sale of electricity price of user；Cprice(t) it is
System refers to the tou power price of different periods in the power purchase price of t period；PPV(t)、PLIt (t) is respectively t period photovoltaic generating system
It is total output and user power utilization load；Psell(t)、Pbuy(t) be respectively t period user sale of electricity electricity and power purchase electricity；α(t)
For photovoltaic power generation quantity first allocation proportion shared by grid-connected sale of electricity in the remaining capacity in addition to meeting family's load；β (t) is to work as light
Volt generated energy is when being unsatisfactory for burden requirement, buys the second allocation proportion shared by power consumption from power grid in the electricity part being short of；
k1For the operation expense coefficient of photovoltaic array；k2For the operation expense number of battery；Pcha(t)、Pdisc(t) it is respectively
Battery charge power, discharge power.
Preferably, the Optimized Operation bound for objective function is determined, including：
Determine the constraint condition of first allocation proportion and second allocation proportion：
Allocation proportion α (t) is first allocation proportion, and β (t) is second allocation proportion.
Preferably, the Optimized Operation bound for objective function is determined, including：
Determine first allocation proportion and second distribution ratio that scheduling is optimized to the photovoltaic generating system
The constraint condition of example：
Wherein, right according to the first allocation proportion α (t) when the generated energy of the photovoltaic generating system is greater than power load
Remaining electricity optimizes scheduling,
Psell(t)=(Ppv(t)-PL(t))α(t)
Pcha(t)=(Ppv(t)-PL(t))(1-α(t))
When the generated energy of photovoltaic hair system is less than load, the load portion that is unable to satisfy for the photovoltaic system
Point, need to optimize according to the second allocation proportion β (t), select this electricity be bought from power grid or electric power storage tank discharge come
Meet, and meets following constraint condition：
Pbuy(t)=(PL(t)-Ppv(t))β(t)
Pdisc(t)=(PL(t)-Ppv(t))(1-β(t))。
Preferably, the Optimized Operation bound for objective function is determined, including：
The constraint condition for determining the power equilibrium of supply and demand of the photovoltaic generating system is：
PL(t)=Ppv(t)-Pbuy(t)+Pdisc(t)-Psell(t)-Pcha(t)
When the generated energy of the photovoltaic generating system is greater than power load, electricity is bought without power grid or is put by battery
Electricity, i.e. Pbuy(t) and PdiscIt (t) is 0, so constraint condition is：
PL(t)=Ppv(t)-Psell(t)-Pcha(t)
When the generated energy of the photovoltaic generating system is less than power load, no remaining capacity can be to charge the battery
Or grid-connected, i.e. Psell(t) and PchaIt (t) is 0, so constraint condition is
PL(t)=Ppv(t)-Pbuy(t)-Pdisc(t)。
Preferably, the Optimized Operation bound for objective function is determined, including：
Determine the photovoltaic generating system accumulator electric-quantity balance constraint condition be：
Battery should be consistent in the electricity of setting period whole story state, i.e.,
E (0)=E (T)
Wherein, E (0), E (T) are respectively storing electricity of the battery in setting period start time and finish time.
Preferably, the Optimized Operation bound for objective function is determined, including：
The constraint condition for determining the accumulator cell charging and discharging of the photovoltaic generating system is：
Set storage battery charge state range as：
SOCmin≤SOC≤SOCmax
In formula, SOCmin、SOCmaxRespectively minimum state-of-charge 20% and maximum state-of-charge 100%；
Setting battery, charge/discharge capacity cannot be greater than the 20% of its maximum capacity per hour, i.e.,：
In formula：E is battery rating, kWh；P′cha(t) and P 'discIt (t) is respectively filling, putting in the unit time
Electrical power, kW.
Based on another aspect of the present invention, a kind of system for photovoltaic generating system economic benefit Optimized Operation is provided,
The system comprises：
Determination unit, for determining the scheduling strategy of photovoltaic generating system；
First establishing unit, for establishing the optimisation strategy of the photovoltaic generating system according to the scheduling strategy；It is described
Optimisation strategy is used to be greater than the remaining capacity of power load according to the first allocation proportion to the generated energy of the photovoltaic generating system
It optimizes；The optimisation strategy be used to be less than the generated energy of the photovoltaic generating system the insufficient electricity of power load according to
Second allocation proportion optimizes；
Second establishes unit, is setting the income in the period as optimization aim using the photovoltaic generating system for establishing,
Using the first allocation proportion and the second allocation proportion as the Optimized Operation objective function of decision variable；
Optimize unit, for utilizing the scheduling strategy, optimization first allocation proportion and second allocation proportion,
Realize the maximization of the photovoltaic generating system user income.
Preferably, it described second establishes unit income in the period is set to be excellent with the photovoltaic generating system for establishing
Change target, using the first allocation proportion and the second allocation proportion as the Optimized Operation objective function of decision variable, including：
Wherein, C is ultimate yield of the photovoltaic generating system within the setting period；The setting period is divided into T by the hour
Stage；Csub(t)、Csell(t)、Cbuy(t)、COM(t) photovoltaic generating system is followed successively by the government subsidy income of t period, user
Grid-connected sale of electricity income, user buy electric cost and entire operation of electric power system maintenance cost；F is that photovoltaic is sent out by country and local government
The full electricity price subsidy of electricity, specific subsidy standard is depending on local circumstance；C0For the grid-connected sale of electricity price of user；Cprice(t) it is
System refers to the tou power price of different periods in the power purchase price of t period；PPV(t)、PLIt (t) is respectively t period photovoltaic generating system
It is total output and user power utilization load；Psell(t)、Pbuy(t) be respectively t period user sale of electricity electricity and power purchase electricity；α(t)
For photovoltaic power generation quantity first allocation proportion shared by grid-connected sale of electricity in the remaining capacity in addition to meeting family's load；β (t) is to work as light
Volt generated energy is when being unsatisfactory for burden requirement, buys the second allocation proportion shared by power consumption from power grid in the electricity part being short of；
k1For the operation expense coefficient of photovoltaic array；k2For the operation expense number of battery；Pcha(t)、Pdisc(t) it is respectively
Battery charge power, discharge power.
Preferably, described second unit is established for determining the Optimized Operation bound for objective function, including：
Determine the constraint condition of first allocation proportion and second allocation proportion：
Allocation proportion α (t) is first allocation proportion, and β (t) is second allocation proportion.
Preferably, described second unit is established for determining the Optimized Operation bound for objective function, including：
Determine first allocation proportion and second distribution ratio that scheduling is optimized to the photovoltaic generating system
The constraint condition of example：
Wherein, right according to the first allocation proportion α (t) when the generated energy of the photovoltaic generating system is greater than power load
Remaining electricity optimizes scheduling,
Psell(t)=(Ppv(t)-PL(t))α(t)
Pcha(t)=(Ppv(t)-PL(t))(1-α(t))
When the generated energy of photovoltaic hair system is less than load, the load portion that is unable to satisfy for the photovoltaic system
Point, need to optimize according to the second allocation proportion β (t), select this electricity be bought from power grid or electric power storage tank discharge come
Meet, and meets following constraint condition：
Pbuy(t)=(PL(t)-Ppv(t))β(t)
Pdisc(t)=(PL(t)-Ppv(t))(1-β(t))。
Preferably, described second unit is established for determining the Optimized Operation bound for objective function, including：
The constraint condition for determining the power equilibrium of supply and demand of the photovoltaic generating system is：
PL(t)=Ppv(t)+Pbuy(t)+Pdisc(t)-Psell(t)-Pcha(t)
When the generated energy of the photovoltaic generating system is greater than power load, electricity is bought without power grid or is put by battery
Electricity, i.e. Pbuy(t) and PdiscIt (t) is 0, so constraint condition is：
PL(t)=Ppv(t)-Psell(t)-Pcha(t)
When the generated energy of the photovoltaic generating system is less than power load, no remaining capacity can be to charge the battery
Or grid-connected, i.e. Psell(t) and PchaIt (t) is 0, so constraint condition is
PL(t)=Ppv(t)-Pbuy(t)-Pdisc(t)。
Preferably, described second unit is established for determining the Optimized Operation bound for objective function, including：
Determine the photovoltaic generating system accumulator electric-quantity balance constraint condition be：
Battery should be consistent in the electricity of setting period whole story state, i.e.,
E (0)=E (T)
Wherein, E (0), E (T) are respectively storing electricity of the battery in setting period start time and finish time.
Preferably, described second unit is established for determining the Optimized Operation bound for objective function, including：
The constraint condition for determining the accumulator cell charging and discharging of the photovoltaic generating system is：
Set storage battery charge state range as：
SOCmin≤SOC≤SOCmax
In formula, SOCmin、SOCmaxRespectively minimum state-of-charge 20% and maximum state-of-charge 100%；
Setting battery, charge/discharge capacity cannot be greater than the 20% of its maximum capacity per hour, i.e.,：
In formula：E is battery rating, kWh；P′cha(t) and P 'discIt (t) is respectively filling, putting in the unit time
Electrical power, kW.
Technical solution of the present invention provides a kind of method and system for photovoltaic generating system economic benefit Optimized Operation,
Middle method includes：Determine the scheduling strategy of photovoltaic generating system；According to scheduling strategy, the optimization plan of photovoltaic generating system is established
Slightly；Optimisation strategy be used to be greater than the generated energy of photovoltaic generating system the remaining capacity of power load according to the first allocation proportion into
Row optimization；Optimisation strategy is used to be less than the insufficient electricity of power load according to the second distribution ratio to the generated energy of photovoltaic generating system
Example optimizes；It establishes and the income in the period is being set as optimization aim using photovoltaic generating system, with the first allocation proportion and the
Two allocation proportions are the Optimized Operation objective function of decision variable；Using scheduling strategy, optimize the first allocation proportion and second point
With ratio, the maximization of photovoltaic generating system user income is realized.Technical solution of the present invention, the photovoltaic towards energy internet
Electricity generation system economic benefit Optimized model, can help photovoltaic power generation user to obtain optimal scheduling strategy according to own situation,
Optimize user power utilization structure, while the installed photovoltaic generating system of user being made to play maximum utility, user is made to reach receipts
Benefit maximizes, and enhances the schedulability energy of photovoltaic generating system.For power grid, which plays good peak load shifting
Effect, be conducive to power network safety operation.
Detailed description of the invention
By reference to the following drawings, exemplary embodiments of the present invention can be more fully understood by：
Fig. 1 is the method flow for photovoltaic generating system economic benefit Optimized Operation according to embodiment of the present invention
Figure；
Fig. 2 is the algorithm flow chart according to the solution objective function of embodiment of the present invention；
Fig. 3 is the family's photovoltaic power generation output power data and daily load data according to embodiment of the present invention；
Fig. 4 is according to the first allocation proportion α (t) and the second allocation proportion β in the dispatching cycle of embodiment of the present invention
(t) schematic diagram；
Fig. 5 is according to the system running state schematic diagram under the Optimized Operation strategy of embodiment of the present invention；
Fig. 6 is according to system running state schematic diagram under the common photovoltaic scheduling strategy of embodiment of the present invention；And
Fig. 7 is the system structure for photovoltaic generating system economic benefit Optimized Operation according to embodiment of the present invention
Figure.
Specific embodiment
Exemplary embodiments of the present invention are introduced referring now to the drawings, however, the present invention can use many different shapes
Formula is implemented, and is not limited to the embodiment described herein, and to provide these embodiments be at large and fully disclose
The present invention, and the scope of the present invention is sufficiently conveyed to person of ordinary skill in the field.Show for what is be illustrated in the accompanying drawings
Term in example property embodiment is not limitation of the invention.In the accompanying drawings, identical cells/elements use identical attached
Icon note.
Unless otherwise indicated, term (including scientific and technical terminology) used herein has person of ordinary skill in the field
It is common to understand meaning.Further it will be understood that with the term that usually used dictionary limits, should be understood as and its
The context of related fields has consistent meaning, and is not construed as Utopian or too formal meaning.
Fig. 1 is the method flow for photovoltaic generating system economic benefit Optimized Operation according to embodiment of the present invention
Figure.Embodiment of the present invention provides the method for family's photovoltaic generating system economic benefit Optimized Operation under tou power price, this Shen
Please become with buying the allocation proportion of electricity from power grid in the allocation proportion for attraction of surfing the Internet in remaining capacity and insufficient electricity part for optimization
Amount turns to objective function with user's Income Maximum, and utilizes particle swarm optimization algorithm, completes the solution to Optimal Operation Model
Process.The application is illustrated by taking family's photovoltaic generating system as an example, but the claimed scheme scope of application of the application
It is not limited only to this.As shown in Figure 1, a kind of method for photovoltaic generating system economic benefit Optimized Operation, method include：
Preferably, in step 101：Determine the scheduling strategy of photovoltaic generating system.In the application, family's photovoltaic generating system
Usually it is made of photovoltaic array, controller, inverter and battery.The core component of photovoltaic generating system is photovoltaic array, it
It converts solar energy into electrical energy, the electricity that photovoltaic array generates is direct current, and user can directly utilize, and can also be incited somebody to action with inverter
It is converted to alternating current, is used.Energy storage device of the battery as system, the electric energy system generated for photovoltaic generating system
The power storage that system generates is got up, and releases use at any time as needed.
Preferably, in step 102：According to scheduling strategy, the optimisation strategy of photovoltaic generating system is established；Optimisation strategy is used for
The remaining capacity for being greater than power load to the generated energy of photovoltaic generating system is optimized according to the first allocation proportion；Optimisation strategy
The insufficient electricity for being less than power load for the generated energy to photovoltaic generating system is optimized according to the second allocation proportion.Family
Photovoltaic generating system is only possible to that there are two kinds of situations during reruning：The generated energy of photovoltaic system is greater than load and photovoltaic power generation
Amount is less than load.When the generated energy of photovoltaic system is greater than user power utilization load, other than meeting household electricity load, system
Remaining capacity can also be optimized according to the first allocation proportion α by remaining capacity, dispatching remaining electricity is grid-connected or deposit storage
Battery.First allocation proportion α is ratio shared by grid-connected electricity in photovoltaic system power generation remaining capacity；When the power generation of photovoltaic system
It when amount is less than load, for insufficient power load part, is optimized according to the second allocation proportion β, selection buys electricity from power grid
Or electric power storage tank discharge meets this sub-load.Second allocation proportion β is insufficient electricity proportion.
Preferably, in step 103：It establishes and the income in the period is being set as optimization aim using photovoltaic generating system, with the
One allocation proportion and the second allocation proportion are the Optimized Operation objective function of decision variable.
Preferably, establish and the income in the period set as optimization aim using photovoltaic generating system, with the first allocation proportion with
Second allocation proportion is the Optimized Operation objective function of decision variable, including：
Wherein, C is ultimate yield of the photovoltaic generating system within the setting period；The setting period is divided into T by the hour
Stage；Csub(t)、Csell(t)、Cbuy(t)、COM(t) photovoltaic generating system is followed successively by the government subsidy income of t period, user
Grid-connected sale of electricity income, user buy electric cost and entire operation of electric power system maintenance cost；F is that photovoltaic is sent out by country and local government
The full electricity price subsidy of electricity, specific subsidy standard is depending on local circumstance；C0For the grid-connected sale of electricity price of user；Cprice(t) it is
System refers to the tou power price of different periods in the power purchase price of t period；PPV(t)、PLIt (t) is respectively t period photovoltaic generating system
It is total output and user power utilization load；Psell(t)、Pbuy(t) be respectively t period user sale of electricity electricity and power purchase electricity；α(t)
For photovoltaic power generation quantity first allocation proportion shared by grid-connected sale of electricity in the remaining capacity in addition to meeting family's load；β (t) is to work as light
Volt generated energy is when being unsatisfactory for burden requirement, buys the second allocation proportion shared by power consumption from power grid in the electricity part being short of；
k1For the operation expense coefficient of photovoltaic array；k2For the operation expense number of battery；Pcha(t)、Pdisc(t) it is respectively
Battery charge power, discharge power.
Preferably, Optimized Operation bound for objective function is determined, including：
Determine the constraint condition of the first allocation proportion and the second allocation proportion：
Allocation proportion α (t) is the first allocation proportion, and β (t) is the second allocation proportion.
Preferably, Optimized Operation bound for objective function is determined, including：
Determination optimizes the first allocation proportion of scheduling and the constraint condition of the second allocation proportion to photovoltaic generating system：
Wherein, when the generated energy of photovoltaic generating system is greater than power load, according to the first allocation proportion α (t) to residue
Electricity optimize scheduling,
Psell(t)=(Ppv(t)-PL(t))α(t)
Pcha(t)=(Ppv(t)-PL(t))(1-α(t))
When photovoltaic hair system generated energy be less than load when, for the loaded portion that photovoltaic system is unable to satisfy, need by
Optimized according to the second allocation proportion β (t), select this electricity be bought from power grid or electric power storage tank discharge meets, and
Meet following constraint condition：
Pbuy(t)=(PL(t)-Ppv(t))β(t)
Pdisc(t)=(PL(t)-Ppv(t))(1-β(t))。
Preferably, Optimized Operation bound for objective function is determined, including：
The constraint condition for determining the power equilibrium of supply and demand of photovoltaic generating system is：
PL(t)=Ppv(t)+Pbuy(t)+Pdisc(t)-Psell(t)-Pcha(t)
When the generated energy of photovoltaic generating system is greater than power load, electricity is bought without power grid or passes through electric power storage tank discharge,
That is Pbuy(t) and PdiscIt (t) is 0, so constraint condition is：
PL(t)=Ppv(t)-Psell(t)-Pcha(t)
When the generated energy of photovoltaic generating system be less than power load when, no remaining capacity can to charge the battery or
It is grid-connected, i.e. Psell(t) and PchaIt (t) is 0, so constraint condition is
PL(t)=Ppv(t)-Pbuy(t)-Pdisc(t)。
Preferably, Optimized Operation bound for objective function is determined, including：
Determine photovoltaic generating system accumulator electric-quantity balance constraint condition be：
Battery should be consistent in the electricity of setting period whole story state, i.e.,
E (0)=E (T)
Wherein, E (0), E (T) are respectively storing electricity of the battery in setting period start time and finish time.
Preferably, Optimized Operation bound for objective function is determined, including：
The constraint condition for determining the accumulator cell charging and discharging of photovoltaic generating system is：
Set storage battery charge state range as：
SOCmin≤SOC≤SOCmax
In formula, SOCmin、SOCmaxRespectively minimum state-of-charge 20% and maximum state-of-charge 100%；
Setting battery, charge/discharge capacity cannot be greater than the 20% of its maximum capacity per hour, i.e.,：
In formula：E is battery rating, kWh；P′cha(t) and P 'discIt (t) is respectively filling, putting in the unit time
Electrical power, kW.
Preferably, in step 104：Using scheduling strategy, optimize the first allocation proportion and the second allocation proportion, realizes photovoltaic
The maximization of electricity generation system user's income.
The application is using family's one day income of photovoltaic power generation user as optimization aim, the first allocation proportion α (t) and second point
It is decision variable with ratio beta (t), by optimization the first allocation proportion α (t) and the second allocation proportion β (t), comprehensively considers user
The factors such as the operation expense for buying electric cost, sale of electricity income, government subsidy and system under the policy of tou power price, finally
Realize the maximum revenue of user.
Optimization object function is as follows：
Wherein, C is ultimate yield of the photovoltaic generating system within the setting period；The setting period is divided into T by the hour
Stage；Csub(t)、Csell(t)、Cbuy(t)、COM(t) photovoltaic generating system is followed successively by the government subsidy income of t period, user
Grid-connected sale of electricity income, user buy electric cost and entire operation of electric power system maintenance cost；F is that photovoltaic is sent out by country and local government
The full electricity price subsidy of electricity, specific subsidy standard is depending on local circumstance；C0For the grid-connected sale of electricity price of user；Cprice(t) it is
System refers to the tou power price of different periods in the power purchase price of t period；PPV(t)、PLIt (t) is respectively t period photovoltaic generating system
It is total output and user power utilization load；Psell(t)、Pbuy(t) be respectively t period user sale of electricity electricity and power purchase electricity；α(t)
For photovoltaic power generation quantity first allocation proportion shared by grid-connected sale of electricity in the remaining capacity in addition to meeting family's load；β (t) is to work as light
Volt generated energy is when being unsatisfactory for burden requirement, buys the second allocation proportion shared by power consumption from power grid in the electricity part being short of；
k1For the operation expense coefficient of photovoltaic array；k2For the operation expense number of battery；Pcha(t)、Pdisc(t) it is respectively
Battery charge power, discharge power.
In the application, following constraint condition is set up to objective function：
(1) constraint condition of Optimal Operation Model
A) allocation proportion constrains
First allocation proportion α (t) and the second allocation proportion β (t) is excellent in the Optimal Operation Model that the application is proposed
Change variable, restriction range is：
B) system call constrains
When the generated energy of photovoltaic generating system is greater than household electricity load, according to the first allocation proportion α (t) to remaining
Electricity optimizes scheduling, should meet following constraint：
Psell(t)=(Ppv(t)-PL(t))α(t)
(3)
Pcha(t)=(Ppv(t)-PL(t))(1-α(t))
(4)
When the generated energy of photovoltaic system be less than load when, for family's loaded portion that system is unable to satisfy, need according to
Second allocation proportion β (t) is optimized, and selecting this electricity is to buy from power grid or electric power storage tank discharge meets.It should meet
Following constraint condition：
Pbuy(t)=(PL(t)-Ppv(t))β(t)
(5)
Pdisc(t)=(PL(t)-Ppv(t))(1-β(t))
(6)
The constraint of the power equilibrium of supply and demand：
Entire family photovoltaic generating system should meet power-balance constraint, i.e.,
PL(t)=Ppv(t)+Pbuy(t)+Pdisc(t)-Psell(t)-Pcha(t)
(7)
When the generated energy of photovoltaic generating system is greater than household electricity load, electricity or electric power storage tank discharge are bought without power grid,
That is Pbuy(t) and PdiscIt (t) is 0, so constraint condition is：
PL(t)=Ppv(t)-Psell(t)-Pcha(t)
(8)
When the generated energy of photovoltaic generating system is less than household electricity load, no remaining capacity can be to charge the battery
Or grid-connected, i.e. Psell(t) and PchaIt (t) is 0, so constraint condition is：
PL(t)=Ppv(t)-Pbuy(t)-Pdisc(t)
(9)
Accumulator electric-quantity Constraints of Equilibrium：
Battery should be consistent in the electricity of whole story state dispatching cycle, i.e.,
E (0)=E (T)
(10)
In formula, E (0), E (1) are respectively storing electricity of the battery in dispatching cycle initial time and finish time.
Accumulator cell charging and discharging constraint：
A key factor for influencing service lifetime of accumulator is exactly state-of-charge SOC (the stage of of battery
Charge), it represents the ratio that remaining battery capacity accounts for total capacity.Document [10] if in point out that battery is in depth for a long time
The state (i.e. SOC is lower than 20%) for spending electric discharge, then its service life can be substantially reduced.But if battery is in always
Shallow discharge state (SOC is greater than 50%), then service lifetime of accumulator can greatly prolong.Therefore, storage battery charge state model is set
Enclose for：
SOCmin≤SOC≤SOCmax
(11)
In formula, SOCmin、SOCmaxRespectively 20% and 100%.
In order to protect battery, the charge-discharge electric power of battery is also unsuitable excessively high, it is specified that battery charge and discharge capacitor per hour
Amount cannot be greater than the 20% of its maximum capacity, i.e.,
In formula：E is battery rating, kWh；P′cha(t) and P 'disc(t) it is respectively charge and discharge in the unit time
Electrical power, kW.
Fig. 2 is the algorithm flow chart according to the solution objective function of embodiment of the present invention.Family's photovoltaic generating system
Optimized Operation is a non-linear, multistage constrained optimization problem, with family photovoltaic power generation user within a dispatching cycle
Income Maximum be objective function, be that decision becomes with the first allocation proportion α (t) in each stage and the second allocation proportion β (t)
Amount, i.e., the first allocation proportion α (t) in each stage and the second allocation proportion β (t) sequence form the particle in PSOization algorithm, with
The population of machine initialization certain scale iteratively solves to optimize.The application is converted constrained optimization problem using penalty function
For unconstrained optimization problem, corresponding penalty term is converted by various constraint conditions, fitness function is equal to objective function and adds
Upper all penalty terms, are then iterated by PSO algorithm flow, meet the overall situations of institute's Prescribed Properties most until searching out
Until excellent solution.The population scale of PSO algorithm is 100, and termination number of iterations was 500 generations.
Embodiment of the present invention is illustrated below：
It is studied for a certain typical household photovoltaic power generation user in the application selection Hebei province, the photovoltaic dress of the user
Machine capacity is 8kW, and the rated capacity of energy storage device battery is 20kWh, is limited to 20a in project planning year.The peak valley in Hebei province
Tou power price policy is as follows：The peak period is 08：00-22：00, the paddy period is 22：00- next day 08：00, peak period electricity price is 0.75
Member/(kWh), 0.31 yuan of paddy period electricity price/(kWh) (utilization voltage grade is discontented 1kV).Hebei province is for distributed light
Volt power generation user carries out 0.42 yuan of public subsidies/(kWh), 0.2 yuan of place subsidy/(kWh) subsidy policy, i.e. F=
0.62 yuan/(kWh).For user's remaining electricity online electricity by power grid enterprises of province according to local coal unit mark post rate for incorporation into the power network knot
It calculates (2016 for 0.3634 yuan/(kWh)), and is accordingly adjusted with the adjustment of mark post rate for incorporation into the power network.The family that this patent is chosen
The output power data that generate electricity the day of photovoltaic and daily charge data are as shown in Figure 3.
In the application, dispatching cycle is one day, is divided into 24 stages for one day, each hour is a stage, according to Shen
The Optimal Operation Model and strategy please proposed, there are also the various power generations meal places in example, are on MATLAB R2014a
System emulation, and model is solved by PSO algorithm.Need to be excellent by the iteration of PSO algorithm, it finally obtains each in dispatching cycle
The first allocation proportion α (t) and the second allocation proportion β (t) in a stage are as shown in Figure 4.Whole system is excellent within dispatching cycle
It is as shown in Figure 5 to change operating status.
It can be seen that by Fig. 4, Fig. 5 08：00-18：00 period, since the power generation situation of photovoltaic is relatively good, so main
If allocation proportion α (t) works in scheduling, controlling the remaining capacity other than being supplied from property front yard load is grid-connected go back
It is deposit battery, most of the remaining capacity of this period is all incorporated into power grid as can be seen from Figure 5, and minority is filled for battery
Electricity, when to guarantee evening illumination deficiency, battery can be powered for family, saved to buy and established branch by cable, while user
Exploitation amount be largely connected to the grid, power grid can also be alleviated to a certain extent in the power supply pressure of peak of power consumption period, risen
The effect of " peak clipping " is arrived.And 19：00- next day 08：00, since the generated energy of photovoltaic this period is essentially 0, therefore α (t) nothing
Method plays a role in scheduling, and mainly distribution factor β (t) works in scheduling, and decision is that electricity or electric power storage are bought from power grid
Tank discharge comes for the power supply of family's load.From fig. 4, it can be seen that in the peak period of tou power price, i.e., 19：00-22：00, power purchase electricity
Valence be 0.57 yuan/(kWh), at this time mainly by electric power storage tank discharge come for family's load power supply, avoid buying with high frequency electricity price
Electricity, while also can be reduced power grid in the power supply pressure of peak times of power consumption；And in the paddy period of tou power price, i.e., 23：00- next day
07：00, since power purchase price is lower, only 0.31 yuan/(kWh), it is lower than 0.3634 yuan of remaining electricity online electricity price/(kWh), and
And peak times of power consumption have been had been subjected at this time, load is also all smaller, therefore should be better than selecting is load power supply from power grid power purchase, simultaneously
It can play the role of fine " valley-fill " again.
If the photovoltaic generating system in the application example is scheduled according to the scheduling strategy of photovoltaic generating system, obtain
System within dispatching cycle operating status it is as shown in Figure 6.
The application compares the system running state under two kinds of scheduling strategies, finds under common photovoltaic scheduling strategy
The charge and discharge of system battery, and battery SOC for some time 50% hereinafter, therefore with Optimized Operation strategy phase
Than the service life of its battery can greatly shorten.And the system under common photovoltaic scheduling strategy is 08：00-18：00
Electricity peak period, generated energy are substantially all to charge the battery, only the electricity of only a few, about 15% or so, are incorporated to electricity
Net, 23：00- next day 7：00 low power consumption period, system are all not buy electricity from power grid using electric power storage tank discharge, because
This does not play the role of peak load shifting.By comparison, proposed Optimal Operation Model can be more protruded in optimization electricity consumption
Advantage in terms of structure and peak load shifting, and the SOC electricity condition of the battery under Optimized Operation strategy is consistently greater than 50%, it can
Effectively to extend the service life of battery.
Table 1 is the economic efficiency contrast of two kinds of scheduling strategies.As it can be seen from table 1 being adjusted according to proposed optimization
Degree strategy is scheduled, and the installed solar energy equipment in family can be used and play maximum utility, reach maximum revenue.
1 two kinds of scheduling strategy economic efficiency contrasts of table
Tab.1Comparison of economic benefit between two scheduling strategies
Fig. 7 is the system structure for photovoltaic generating system economic benefit Optimized Operation according to embodiment of the present invention
Figure.As shown in fig. 7, a kind of system for photovoltaic generating system economic benefit Optimized Operation, system include：
Determination unit 701, for determining the scheduling strategy of photovoltaic generating system.
First establishing unit 702, for establishing the optimisation strategy of photovoltaic generating system according to scheduling strategy；Optimisation strategy
The remaining capacity for being greater than power load for the generated energy to photovoltaic generating system is optimized according to the first allocation proportion；Optimization
Insufficient electricity of the strategy for the generated energy to photovoltaic generating system to be less than power load is optimized according to the second allocation proportion.
Second establishes unit 703, is setting the income in the period as optimization aim using photovoltaic generating system for establishing, with
First allocation proportion and the second allocation proportion are the Optimized Operation objective function of decision variable.
Preferably, it second establishes unit 703 income in the period is set as optimization mesh with photovoltaic generating system for establishing
Mark, using the first allocation proportion and the second allocation proportion as the Optimized Operation objective function of decision variable, including：
Wherein, C is ultimate yield of the photovoltaic generating system within the setting period；The setting period is divided into T by the hour
Stage；Csub(t)、Csell(t)、Cbuy(t)、COM(t) photovoltaic generating system is followed successively by the government subsidy income of t period, user
Grid-connected sale of electricity income, user buy electric cost and entire operation of electric power system maintenance cost；F is that photovoltaic is sent out by country and local government
The full electricity price subsidy of electricity, specific subsidy standard is depending on local circumstance；C0 is the grid-connected sale of electricity price of user；CpriceFor system
In the power purchase price of t period, refer to the tou power price of different periods；PPV(t)、PLIt (t) is respectively the total of t period photovoltaic generating system
Output and user power utilization load；Psell(t)、Pbuy(t) be respectively t period user sale of electricity electricity and power purchase electricity；α (t) is light
Volt generated energy first allocation proportion shared by grid-connected sale of electricity in the remaining capacity in addition to meeting family's load；β (t) is when photovoltaic is sent out
When electricity is unsatisfactory for burden requirement, the second allocation proportion shared by power consumption is bought from power grid in the electricity part be short of；k1For
The operation expense coefficient of photovoltaic array；k2For the operation expense number of battery；Pcha(t)、PdiscIt (t) is respectively electric power storage
Pond charge power, discharge power.
Preferably, second unit 703 is established for determining Optimized Operation bound for objective function, including：
Determine the constraint condition of the first allocation proportion and the second allocation proportion：
Allocation proportion α (t) is the first allocation proportion, and β (t) is the second allocation proportion.
Preferably, second unit 703 is established for determining Optimized Operation bound for objective function, including：
Determination optimizes the first allocation proportion of scheduling and the constraint condition of the second allocation proportion to photovoltaic generating system：
Wherein, when the generated energy of photovoltaic generating system is greater than power load, according to the first allocation proportion α (t) to residue
Electricity optimize scheduling,
Psell(t)=(Ppv(t)-PL(t))α(t)
Pcha(t)=(Ppv(t)-PL(t))(1-α(t))
When photovoltaic hair system generated energy be less than load when, for the loaded portion that photovoltaic system is unable to satisfy, need by
Optimized according to the second allocation proportion β (t), select this electricity be bought from power grid or electric power storage tank discharge meets, and
Meet following constraint condition：
Pbuy(t)=(PL(t)-Ppv(t))β(t)
Pdisc(t)=(PL(t)-Ppv(t))(1-β(t))。
Preferably, second unit 703 is established for determining Optimized Operation bound for objective function, including：
The constraint condition for determining the power equilibrium of supply and demand of photovoltaic generating system is：
PL(t)=Ppv(t)+Pbuy(t)+Pdisc(t)-Psell(t)-Pcha(t)
When the generated energy of photovoltaic generating system is greater than power load, electricity is bought without power grid or passes through electric power storage tank discharge,
That is Pbuy(t) and PdiscIt (t) is 0, so constraint condition is：
PL(t)=Ppv(t)-Psell(t)-Pcha(t)
When the generated energy of photovoltaic generating system be less than power load when, no remaining capacity can to charge the battery or
It is grid-connected, i.e. Psell(t) and PchaIt (t) is 0, so constraint condition is
PL(t)=Ppv(t)-Pbuy(t)-Pdisc(t)。
Preferably, second unit 703 is established for determining Optimized Operation bound for objective function, including：
Determine photovoltaic generating system accumulator electric-quantity balance constraint condition be：
Battery should be consistent in the electricity of setting period whole story state, i.e.,
E (0)=E (T)
Wherein, E (0), E (T) are respectively storing electricity of the battery in setting period start time and finish time.
Preferably, second unit 703 is established for determining Optimized Operation bound for objective function, including：
The constraint condition for determining the accumulator cell charging and discharging of photovoltaic generating system is：
Set storage battery charge state range as：
SOCmin≤SOC≤SOCmax
In formula, SOCmin、SOCmaxRespectively minimum state-of-charge 20% and maximum state-of-charge 100%；
Setting battery, charge/discharge capacity cannot be greater than the 20% of its maximum capacity per hour, i.e.,：
In formula：E is battery rating, kWh；P′cha(t) and P 'discIt (t) is respectively filling, putting in the unit time
Electrical power, kW.
Optimize unit 704, for utilizing scheduling strategy, optimizes the first allocation proportion and the second allocation proportion, realize photovoltaic
The maximization of electricity generation system user's income.
The application establishes family's photovoltaic generating system economic benefit Optimal Operation Model under tou power price, and model is with residue
The allocation proportion of online attraction buys the allocation proportion of electricity for optimized variable, with user from power grid in insufficient electricity part in electricity
Income Maximum turns to objective function, and utilizes particle swarm optimization algorithm, completes the solution procedure to Optimal Operation Model.
The photovoltaic generating system economic benefit Optimized model towards energy internet that the application establishes, can help family
Photovoltaic power generation user obtains optimal scheduling strategy according to own situation, optimizes user power utilization structure, while user being made to reach receipts
Benefit maximizes, and enhances the schedulability energy of photovoltaic generating system.For power grid, which plays good peak load shifting
Effect, be conducive to power network safety operation.Therefore embodiments of the present invention are with a wide range of applications.
The present invention is described by reference to a small amount of embodiment.However, it is known in those skilled in the art, as
Defined by subsidiary Patent right requirement, in addition to the present invention other embodiments disclosed above equally fall in it is of the invention
In range.
Normally, all terms used in the claims are all solved according to them in the common meaning of technical field
It releases, unless in addition clearly being defined wherein.All references " one/described/be somebody's turn to do [device, component etc.] " are all opened ground
At least one example being construed in described device, component etc., unless otherwise expressly specified.Any method disclosed herein
Step need not all be run with disclosed accurate sequence, unless explicitly stated otherwise.
Claims (14)
1. a kind of method for photovoltaic generating system economic benefit Optimized Operation, the method includes：
Determine the scheduling strategy of photovoltaic generating system；
According to the scheduling strategy, the optimisation strategy of the photovoltaic generating system is established；The optimisation strategy is used for the light
The remaining capacity that the generated energy of photovoltaic generating system is greater than power load is optimized according to the first allocation proportion；The optimisation strategy
The insufficient electricity for being less than power load for the generated energy to the photovoltaic generating system is optimized according to the second allocation proportion；
It establishes and the income in the period is being set as optimization aim, with the first allocation proportion and second point using the photovoltaic generating system
It is the Optimized Operation objective function of decision variable with ratio；
Using the scheduling strategy, optimizes first allocation proportion and second allocation proportion, realize the photovoltaic power generation
The maximization of system user income.
2. according to the method described in claim 1, the foundation sets the income in the period to be excellent with the photovoltaic generating system
Change target, using the first allocation proportion and the second allocation proportion as the Optimized Operation objective function of decision variable, including：
Wherein, c is ultimate yield of the photovoltaic generating system within the setting period；The setting period is divided into T stage by the hour；
Csub(t)、Csell(t)、Cbuy(t)、COM(t) be followed successively by photovoltaic generating system in the government subsidy income of t period, user is grid-connected sells
Electric income, user buy electric cost and entire operation of electric power system maintenance cost；F is country and local government to the complete of photovoltaic power generation
Electricity price subsidy, specific subsidy standard is depending on local circumstance；C0For the grid-connected sale of electricity price of user；CpriceIt (t) is system in t
The power purchase price of period, refers to the tou power price of different periods；PPV(t)、PLIt (t) is respectively the total defeated of t period photovoltaic generating system
Out and user power utilization load；Psell(t)、Pbuy(t) be respectively t period user sale of electricity electricity and power purchase electricity；α (t) is photovoltaic
Generated energy first allocation proportion shared by grid-connected sale of electricity in the remaining capacity in addition to meeting family's load；β (t) is to work as photovoltaic power generation
Amount is when being unsatisfactory for burden requirement, buys the second allocation proportion shared by power consumption from power grid in the electricity part being short of；k1For light
The operation expense coefficient of photovoltaic array；k2For the operation expense number of battery；Pcha(t)、PdiscIt (t) is respectively battery
Charge power, discharge power.
3. according to the method described in claim 2, determine the Optimized Operation bound for objective function, including：
Determine the constraint condition of first allocation proportion and second allocation proportion：
Allocation proportion α (t) is first allocation proportion, and β (t) is second allocation proportion.
4. according to the method described in claim 2, determine the Optimized Operation bound for objective function, including：
Determine first allocation proportion and second allocation proportion that scheduling is optimized to the photovoltaic generating system
Constraint condition：
Wherein, when the generated energy of the photovoltaic generating system is greater than power load, according to the first allocation proportion α (t) to residue
Electricity optimize scheduling,
Psell(t)=(Ppv(t)-PL(t))α(t)
Pcha(t)=(Ppv(t)-PL(t))(1-α(t))
When the generated energy of photovoltaic hair system is less than load, for the loaded portion that the photovoltaic system is unable to satisfy, need
It to be optimized according to the second allocation proportion β (t), selecting this electricity is to buy from power grid or electric power storage tank discharge meets,
And meet following constraint condition：
Pbuy(t)=(PL(t)-Ppv(t))β(t)
Pdisc(t)=(PL(t)-Ppv(t))(1-β(t))。
5. according to the method described in claim 2, determine the Optimized Operation bound for objective function, including：
The constraint condition for determining the power equilibrium of supply and demand of the photovoltaic generating system is：
PL(t)=Ppv(t)+Pbuy(t)+Pdisc(t)-Psell(t)-Pcha(t)
When the generated energy of the photovoltaic generating system is greater than power load, electricity is bought without power grid or passes through electric power storage tank discharge,
That is Pbuy(t) and PdiscIt (t) is 0, so constraint condition is：
PL(t)=Ppv(t)-Psell(t)-Pcha(t)
When the generated energy of the photovoltaic generating system be less than power load when, no remaining capacity can to charge the battery or
It is grid-connected, i.e. Psell(t) and PchaIt (t) is 0, so constraint condition is
PL(t)=Ppv(t)-Pbuy(t)-Pdisc(t)。
6. according to the method described in claim 2, determine the Optimized Operation bound for objective function, including：
Determine the photovoltaic generating system accumulator electric-quantity balance constraint condition be：
Battery should be consistent in the electricity of setting period whole story state, i.e.,
E (0)=E (T)
Wherein, E (0), E (T) are respectively storing electricity of the battery in setting period start time and finish time.
7. according to the method described in claim 2, determine the Optimized Operation bound for objective function, including：
The constraint condition for determining the accumulator cell charging and discharging of the photovoltaic generating system is：
Set storage battery charge state range as：
SOCmin≤SOC≤SOCmax
In formula, SOCmin、SOCmaxRespectively minimum state-of-charge 20% and maximum state-of-charge 100%；
Setting battery, charge/discharge capacity cannot be greater than the 20% of its maximum capacity per hour, i.e.,：
In formula：E is battery rating, kWh；P 'cha(t) and P 'disc(t) it is respectively charge and discharge function in the unit time
Rate, kW.
8. a kind of system for photovoltaic generating system economic benefit Optimized Operation, the system comprises：
Determination unit, for determining the scheduling strategy of photovoltaic generating system；
First establishing unit, for establishing the optimisation strategy of the photovoltaic generating system according to the scheduling strategy；The optimization
Remaining capacity of the strategy for the generated energy to the photovoltaic generating system to be greater than power load is carried out according to the first allocation proportion
Optimization；The optimisation strategy is used to be less than the insufficient electricity of power load according to second to the generated energy of the photovoltaic generating system
Allocation proportion optimizes；
Second establishes unit, is setting the income in the period as optimization aim, with using the photovoltaic generating system for establishing
One allocation proportion and the second allocation proportion are the Optimized Operation objective function of decision variable；
Optimize unit, for utilizing the scheduling strategy, optimizes first allocation proportion and second allocation proportion, realize
The maximization of the photovoltaic generating system user income.
9. system according to claim 8, described second establish unit for establish set with the photovoltaic generating system
Income in period is optimization aim, using the first allocation proportion and the second allocation proportion as the Optimized Operation target letter of decision variable
Number, including：
Wherein, c is ultimate yield of the photovoltaic generating system within the setting period；The setting period is divided into T stage by the hour；
Csub(t)、Csell(t)、Cbuy(t)、COM(t) be followed successively by photovoltaic generating system in the government subsidy income of t period, user is grid-connected sells
Electric income, user buy electric cost and entire operation of electric power system maintenance cost；F is country and local government to the complete of photovoltaic power generation
Electricity price subsidy, specific subsidy standard is depending on local circumstance；C0For the grid-connected sale of electricity price of user；CpriceIt (t) is system in t
The power purchase price of period, refers to the tou power price of different periods；PPV(t)、PLIt (t) is respectively the total defeated of t period photovoltaic generating system
Out and user power utilization load；Psell(t)、Pbuy(t) be respectively t period user sale of electricity electricity and power purchase electricity；α (t) is photovoltaic
Generated energy first allocation proportion shared by grid-connected sale of electricity in the remaining capacity in addition to meeting family's load；β (t) is to work as photovoltaic power generation
Amount is when being unsatisfactory for burden requirement, buys the second allocation proportion shared by power consumption from power grid in the electricity part being short of；k1For light
The operation expense coefficient of photovoltaic array；k2For the operation expense number of battery；Pcha(t)、PdiscIt (t) is respectively battery
Charge power, discharge power.
10. system according to claim 9, described second establishes unit for determining the Optimized Operation objective function
Constraint condition, including：
Determine the constraint condition of first allocation proportion and second allocation proportion：
Allocation proportion α (t) is first allocation proportion, and β (t) is second allocation proportion.
11. system according to claim 9, described second establishes unit for determining the Optimized Operation objective function
Constraint condition, including：
Determine first allocation proportion and second allocation proportion that scheduling is optimized to the photovoltaic generating system
Constraint condition：
Wherein, when the generated energy of the photovoltaic generating system is greater than power load, according to the first allocation proportion α (t) to residue
Electricity optimize scheduling,
Psell(t)=(Ppv(t)-PL(t))α(t)
Pcha(t)=(Ppv(t)-PL(t))(1-α(t))
When the generated energy of photovoltaic hair system is less than load, for the loaded portion that the photovoltaic system is unable to satisfy, need
It to be optimized according to the second allocation proportion β (t), selecting this electricity is to buy from power grid or electric power storage tank discharge meets,
And meet following constraint condition：
Pbuy(t)=(PL(t)-Ppv(t))β(t)
Pdisc(t)=(PL(t)-Ppv(t))(1-β(t))。
12. system according to claim 9, described second establishes unit for determining the Optimized Operation objective function
Constraint condition, including：
The constraint condition for determining the power equilibrium of supply and demand of the photovoltaic generating system is：
PL(t)=Ppv(t)+Pbuy(t)+Pdisc(t)-Psell(t)-Pcha(t)
When the generated energy of the photovoltaic generating system is greater than power load, electricity is bought without power grid or passes through electric power storage tank discharge,
That is Pbuy(t) and PdiscIt (t) is 0, so constraint condition is：
PL(t)=Ppv(t)-Psell(t)-Pcha(t)
When the generated energy of the photovoltaic generating system be less than power load when, no remaining capacity can to charge the battery or
It is grid-connected, i.e. Psell(t) and PchaIt (t) is 0, so constraint condition is
PL(t)=Ppv(t)-Pbuy(t)-Pdisc(t)。
13. system according to claim 9, described second establishes unit for determining the Optimized Operation objective function
Constraint condition, including：
Determine the photovoltaic generating system accumulator electric-quantity balance constraint condition be：
Battery should be consistent in the electricity of setting period whole story state, i.e.,
E (0)=E (T)
Wherein, E (0), E (T) are respectively storing electricity of the battery in setting period start time and finish time.
14. system according to claim 9, described second establishes unit for determining the Optimized Operation objective function
Constraint condition, including：
The constraint condition for determining the accumulator cell charging and discharging of the photovoltaic generating system is：
Set storage battery charge state range as：
SOCmin≤SOC≤SOCmax
In formula, SOCmin、SOCmaxRespectively minimum state-of-charge 20% and maximum state-of-charge 100%；
Setting battery, charge/discharge capacity cannot be greater than the 20% of its maximum capacity per hour, i.e.,：
In formula：E is battery rating, kWh；P′cha(t) and P 'disc(t) it is respectively charge and discharge function in the unit time
Rate, kW.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN109767087A (en) * | 2018-12-26 | 2019-05-17 | 深圳供电局有限公司 | Dispatching method, device, computer equipment and the storage medium of photovoltaic power |
| CN110362874A (en) * | 2019-06-19 | 2019-10-22 | 安徽工程大学 | A kind of photovoltaic solar charging pile income Optimal calculation method |
| CN111224393A (en) * | 2018-11-27 | 2020-06-02 | 青岛海尔智能技术研发有限公司 | Intelligent household electric energy scheduling optimization method and device and storage medium |
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| CN116581742A (en) * | 2023-05-16 | 2023-08-11 | 淮阴工学院 | Chameleon algorithm-based flexible electric load scheduling system and chameleon algorithm-based flexible electric load scheduling method for regulating and controlling intelligent cloud platform |
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