CN111064209A - Comprehensive energy storage optimal configuration method and system - Google Patents

Comprehensive energy storage optimal configuration method and system Download PDF

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CN111064209A
CN111064209A CN201911249186.3A CN201911249186A CN111064209A CN 111064209 A CN111064209 A CN 111064209A CN 201911249186 A CN201911249186 A CN 201911249186A CN 111064209 A CN111064209 A CN 111064209A
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energy
energy storage
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comprehensive
load
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CN111064209B (en
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陆晓
芮松华
吴奕
胡伟
张卫国
邵军军
陈良亮
纪程
***
高赐威
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State Grid Corp of China SGCC
Southeast University
State Grid Jiangsu Electric Power Co Ltd
NARI Group Corp
Nari Technology Co Ltd
NARI Nanjing Control System Co Ltd
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State Grid Corp of China SGCC
Southeast University
State Grid Jiangsu Electric Power Co Ltd
NARI Group Corp
Nari Technology Co Ltd
NARI Nanjing Control System Co Ltd
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    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/28—Arrangements for balancing of the load in a network by storage of energy
    • 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
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E70/00—Other energy conversion or management systems reducing GHG emissions
    • Y02E70/30—Systems combining energy storage with energy generation of non-fossil origin

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Abstract

The invention discloses a comprehensive energy storage optimal configuration method and a system, which are combined with the framework of a comprehensive energy system at a user side, and the energy demand of the system at each time interval and the maximum output of an energy production unit in the system at each time interval are given; establishing physical models of an energy conversion unit and an energy storage unit in the system; and establishing a comprehensive energy storage optimal configuration model aiming at the minimum load variance, the minimum reduction of renewable energy sources and the minimum comprehensive energy storage capacity, wherein the optimal solution of the model is the optimal capacity which should be configured for each type of energy storage device. The method can be applied to various user-side comprehensive energy systems with specific architectures, and fully excavates the effects of the user-side comprehensive energy system on reducing the load peak-valley difference of a power grid and improving the renewable energy consumption capacity through multi-energy complementation and multi-energy flow coordinated optimization scheduling. The method can coordinate with electric heating and cooling comprehensive energy storage to promote peak clipping and valley filling and renewable energy consumption, and effectively improves the operation safety and economy of the power system.

Description

Comprehensive energy storage optimal configuration method and system
Technical Field
The invention relates to the technical field of comprehensive energy, and discloses a comprehensive energy storage optimal configuration method and a comprehensive energy storage optimal configuration system.
Background
In recent years, the load peak-valley difference of the power grid in China is further increased, the load characteristic of the power grid is deteriorated, and the economic operation of a power system is not facilitated. In addition, the proportion of renewable energy power generation such as wind power generation and photovoltaic power generation is continuously increased, and due to the shortage of the flexible capacity adjustment of the power system, the renewable energy power generation faces a severe problem of consumption.
In the face of load peak-valley difference amplification, renewable energy consumption and other problems, many researches are carried out to seek a solution from a user side, for example, electricity energy storage is reasonably configured in the microgrid, peak-valley difference of electricity load is reduced through optimized scheduling of charging and discharging, and meanwhile, the consumption capacity of distributed renewable energy in the microgrid is improved.
The technologies only consider the energy form of electric energy, however, the energy demand of users is more and more diversified and integrated, the coupling degree of the electricity, heat and cold systems on the user side is increasingly deepened, and the energy system on the user side is often an integrated system of multiple energy sources. Therefore, a user-side comprehensive energy system is taken as a scene, comprehensive energy storage devices such as electricity, heat and cold are reasonably configured in the system, load peak-valley difference is reduced and the absorption capacity of distributed renewable energy sources is improved through multi-energy complementation and coordinated optimization scheduling of multiple energy sources, and further research is needed.
Disclosure of Invention
The purpose of the invention is as follows: the invention provides a comprehensive energy storage optimal configuration method and a comprehensive energy storage optimal configuration system, which aim to reasonably configure comprehensive energy storage in a user-side comprehensive energy system, reduce load peak-valley difference and improve the consumption capability of distributed renewable energy.
The technical scheme is as follows: in order to achieve the purpose, the invention adopts the technical scheme that: a comprehensive energy storage optimal configuration method comprises the following steps:
and solving an optimal solution of the model according to a pre-established comprehensive energy storage optimal configuration model by taking the minimum comprehensive load variance at the user side, the minimum renewable energy reduction and the minimum comprehensive energy storage capacity as targets to obtain the optimal capacity which should be configured for each type of energy storage device.
Further, the user-side integrated load variance f1NComprises the following steps:
Figure BDA0002308535160000011
wherein αsTo give the load variance weight of the s-th energy source, satisfy
Figure BDA0002308535160000021
N is the number of energy forms included in the user-side integrated energy system, s is 1, 2.
f1,sLoad variance for the s energy:
Figure BDA0002308535160000022
wherein: wbuy,s(t) the purchase amount of the s-th energy source of the system in the t period;
Figure BDA0002308535160000023
the net load average value of the s energy source on the nth day;
the amount of renewable energy reduction f2NComprises the following steps:
Figure BDA0002308535160000024
wherein βsReducing the weight of renewable energy of the s-th energy source to meet the requirement
Figure BDA0002308535160000025
f2,sThe renewable energy for the s-th energy source is reduced:
Figure BDA0002308535160000026
wherein: wpromax,s(t) the maximum output of the energy production unit of the s-th energy source during the time period t; wpro,s(t) actual output of the energy production unit of the s-th energy source during the time period t;
said integrated energy storage capacity f3NComprises the following steps:
Figure BDA0002308535160000027
wherein: esA capacity configured for the s-th energy storage device; gamma raysThe weight of the s type energy storage capacity is satisfied
Figure BDA0002308535160000028
Further, the comprehensive energy storage optimization configuration model comprises:
objective function fN：
Figure BDA0002308535160000031
Wherein: lambda [ alpha ]1、λ2、λ3For each target weight, satisfy λ1+λ2+λ3＝1；f1,baseA reference value of the comprehensive load variance; f. of2,baseA reference value for the reduction of the comprehensive renewable energy; f. of3,baseIs a reference value of the comprehensive energy storage capacity;
the constraint conditions include:
(1) energy storage configuration capacity constraint:
Figure BDA0002308535160000032
s＝1,2,...,N
wherein:
Figure BDA0002308535160000033
an upper limit of the allocable capacity for the s-th stored energy;
(2) energy supply and demand balance constraint:
Figure BDA0002308535160000034
s＝1,2,...,N
wherein: wbuy,s(t) the purchase amount of the s-th energy source during the t period; wdis,s(t) and Wch,s(t) discharging energy and charging energy of the s-th energy storage device in a t period; wpro,s(t) actual output of the energy production unit of the s-th energy source during the time period t; wload,s(t) user load of the s-th energy source during the t period; in terms of energy conversion, it is assumed that energy can only be converted from high grade to low grade (energy 1 to energy N grades are sequentially reduced): wi,s(t) is the amount of energy i converted into energy s consumed by the energy i during a period t, Ki,s(t) conversion efficiency of the corresponding energy conversion device; ws,j(t) converting the energy s into the amount of energy s consumed by the energy j for a period t;
(3) and (4) energy storage unit restraint:
Figure BDA0002308535160000041
0≤Es(t)≤Es
0≤Wch,s(t)ηch,s≤PsΔt
Figure BDA0002308535160000042
Es(tstart)＝Es(tstart+tperiod)
wherein: es(t +1) and Es(t) the energy stored by the energy storage device of the s type before the time period of t +1 and before the time period of t respectively; deltasη, the self-discharge rate of the energy storage device of the s typech,sAnd ηdis,sThe charging efficiency and the discharging efficiency of the energy storage device of the s type are improved; psRated power of the energy storage device of the s type; t is tstartFor the start of the scheduling period, tperiodIs the scheduling period duration; Δ t is the length of each time interval;
(4) energy production unit restraint:
0≤Wpro,s(t)≤Wpromax,s(t)
s＝1,2,...,N
wherein: wpromax,s(t) energy production units for the s-th energy source during the t periodThe maximum output of (c); wpro,s(t) actual output of the energy production unit of the s-th energy source during the time period t;
(5) and (3) restraining the energy conversion unit:
Figure BDA0002308535160000043
Ki,j(t)＝f0(Wi,j(t))
i,j＝1,2,...,N i＜j
wherein: wi,j(t) converting the energy i into the amount of energy i consumed by the energy j for a period t;
Figure BDA0002308535160000044
is the upper limit of the energy i converted into energy j; ki,j(t) efficiency of energy i to energy j during time t; function f0Related to the operating characteristics of the energy conversion unit;
(6) interaction with energy suppliers power constraints:
Figure BDA0002308535160000045
s＝1,2,...,N
wherein:
Figure BDA0002308535160000046
the upper limit of the purchase of the s-th energy source.
Further, the user load W of the s energy source in the t periodload,s(t) is:
Wload,s(t)
s＝1,2,...,N t＝1,2,...,8760
wherein: n is the number of energy forms included by the user side comprehensive energy system;
the maximum output of the energy production unit of the s-th energy source in the t period is as follows:
Figure BDA0002308535160000055
further, the energy conversion unit is a unit for converting energy into other forms of energy.
Further, the energy production unit is a user-side energy generation unit and comprises a distributed wind power or photovoltaic power generation unit positioned on the user side.
Further, the energy storage unit comprises an electric energy storage unit, a thermal energy storage unit and a cold energy storage unit.
An integrated energy storage optimal configuration system comprising:
and the energy storage optimization configuration model solving module is used for solving the optimal solution of the model according to a pre-established comprehensive energy storage optimization configuration model by taking the minimum comprehensive load variance at the user side, the minimum renewable energy reduction and the minimum comprehensive energy storage capacity as targets to obtain the optimal capacity which should be configured for each type of energy storage device.
Further, the user-side integrated load variance f1NComprises the following steps:
Figure BDA0002308535160000051
wherein αsTo give the load variance weight of the s-th energy source, satisfy
Figure BDA0002308535160000052
N is the number of energy forms included in the user-side integrated energy system, s is 1, 2.
f1,sLoad variance for the s energy:
Figure BDA0002308535160000053
wherein: wbuy,s(t) the purchase amount of the s-th energy source of the system in the t period;
Figure BDA0002308535160000054
the net load average value of the s energy source on the nth day;
the amount of renewable energy reduction f2NComprises the following steps:
Figure BDA0002308535160000061
wherein βsReducing the weight of renewable energy of the s-th energy source to meet the requirement
Figure BDA0002308535160000062
f2,sThe renewable energy for the s-th energy source is reduced:
Figure BDA0002308535160000063
wherein: wpromax,s(t) the maximum output of the energy production unit of the s-th energy source during the time period t; wpro,s(t) actual output of the energy production unit of the s-th energy source during the time period t;
said integrated energy storage capacity f3NComprises the following steps:
Figure BDA0002308535160000064
wherein: esA capacity configured for the s-th energy storage device; gamma raysThe weight of the s type energy storage capacity is satisfied
Figure BDA0002308535160000065
Further, the comprehensive energy storage optimization configuration model comprises:
objective function fN：
Figure BDA0002308535160000066
Wherein: lambda [ alpha ]1、λ2、λ3For each target weight, satisfy λ1+λ2+λ3＝1；f1,baseA reference value of the comprehensive load variance; f. of2,baseA reference value for the reduction of the comprehensive renewable energy;f3,baseis a reference value of the comprehensive energy storage capacity;
the constraint conditions include:
(1) energy storage configuration capacity constraint:
Figure BDA0002308535160000067
s＝1,2,...,N
wherein:
Figure BDA0002308535160000068
an upper limit of the allocable capacity for the s-th stored energy;
(2) energy supply and demand balance constraint:
Figure BDA0002308535160000071
s＝1,2,...,N
wherein: wbuy,s(t) the purchase amount of the s-th energy source during the t period; wdis,s(t) and Wch,s(t) discharging energy and charging energy of the s-th energy storage device in a t period; wpro,s(t) actual output of the energy production unit of the s-th energy source during the time period t; wload,s(t) user load of the s-th energy source during the t period; in terms of energy conversion, it is assumed that energy can only be converted from high grade to low grade (energy 1 to energy N grades are sequentially reduced): wi,s(t) is the amount of energy i converted into energy s consumed by the energy i during a period t, Ki,s(t) conversion efficiency of the corresponding energy conversion device; ws,j(t) converting the energy s into the amount of energy s consumed by the energy j for a period t;
(3) and (4) energy storage unit restraint:
Figure BDA0002308535160000072
0≤Es(t)≤Es
0≤Wch,s(t)ηch,s≤PsΔt
Figure BDA0002308535160000073
Es(tstart)＝Es(tstart+tperiod)
wherein: es(t +1) and Es(t) the energy stored by the energy storage device of the s type before the time period of t +1 and before the time period of t respectively; deltasη, the self-discharge rate of the energy storage device of the s typech,sAnd ηdis,sThe charging efficiency and the discharging efficiency of the energy storage device of the s type are improved; psRated power of the energy storage device of the s type; t is tstartFor the start of the scheduling period, tperiodIs the scheduling period duration; Δ t is the length of each time interval;
(4) energy production unit restraint:
0≤Wpro,s(t)≤Wpromax,s(t)
s＝1,2,...,N
wherein: wpromax,s(t) the maximum output of the energy production unit of the s-th energy source during the time period t; wpro,s(t) actual output of the energy production unit of the s-th energy source during the time period t;
(5) and (3) restraining the energy conversion unit:
Figure BDA0002308535160000081
Ki,j(t)＝f0(Wi,j(t))
i,j＝1,2,...,N i＜j
wherein: wi,j(t) converting the energy i into the amount of energy i consumed by the energy j for a period t;
Figure BDA0002308535160000082
is the upper limit of the energy i converted into energy j; ki,j(t) efficiency of energy i to energy j during time t; function f0Related to the operating characteristics of the energy conversion unit;
(6) interaction with energy suppliers power constraints:
Figure BDA0002308535160000083
s＝1,2,...,N
wherein:
Figure BDA0002308535160000084
the upper limit of the purchase of the s-th energy source.
The invention has the beneficial effects that: the invention optimally configures the comprehensive energy storage by taking the aim of minimum integral load variance, minimum renewable energy reduction and minimum comprehensive energy storage capacity at the user side as the target, and fully exerts the functions of the comprehensive energy storage on promoting peak clipping and valley filling and renewable energy consumption.
The method provided by the invention aims at minimum load variance, minimum reduction of renewable energy and minimum comprehensive energy storage capacity to optimally configure the comprehensive energy storage capacity of electricity, heat, cold and the like in the user side comprehensive energy system, can be applied to the user side comprehensive energy system with various specific architectures, and fully excavates the functions of the user side comprehensive energy system on reducing the load peak valley difference of a power grid and improving the consumption capacity of renewable energy through multi-energy complementation and multi-energy flow coordinated optimization scheduling. The method can coordinate with electric heating and cooling comprehensive energy storage to promote peak clipping and valley filling and renewable energy consumption, and effectively improves the operation safety and economy of the power system.
Drawings
FIG. 1 is a flow chart of an embodiment of the method of the present invention;
FIG. 2 is a schematic diagram of an abstract model of a customer-side integrated energy system;
FIG. 3 is a schematic diagram of a customer-side integrated energy system architecture in an embodiment;
fig. 4 is a schematic diagram of the architecture of the user-side integrated energy system labeled with physical symbols.
Detailed Description
The present invention will be further described with reference to the accompanying drawings.
Referring to fig. 2, an abstract model of a user-side integrated energy system is described, the user-side integrated energy system comprising: external energy sources (such as electric energy of a power distribution network and heat energy provided by a northern heating system), an energy production unit, an energy conversion unit, an energy storage unit and a user side load;
the energy production unit is an energy generation unit at the user side and comprises a distributed wind power generation unit or a distributed photovoltaic power generation unit at the user side;
the energy conversion unit is a unit for converting energy such as electric energy into energy in other forms, such as an electric boiler and an air conditioner;
the energy storage unit comprises an electric energy storage unit, a heat energy storage unit and a cold energy storage unit;
the load includes: ordinary electrical load, thermal load, cold load;
as shown in fig. 3, a user-side integrated energy system in this embodiment includes: a power distribution network (external energy), a wind power unit (energy production unit), an electric boiler (energy conversion unit), an air conditioner (energy conversion unit), electric energy storage, thermal energy storage, cold energy storage (energy storage unit), an electric load, a thermal load, and a cold load (user side load);
as shown in fig. 1 and 3, a comprehensive energy storage optimal configuration method includes the steps of:
step 1: in combination with the architecture of the user-side integrated energy system in fig. 3, the energy demand of the system at each time interval and the maximum output of the energy production unit in the system at each time interval are given as follows:
(1-1) given the energy demand for 8760 sessions of a year:
① given the power demand:
Figure BDA0002308535160000091
wherein: wload(t) is the consumer electrical load for a period of t.
② given the thermal energy requirement:
Figure BDA0002308535160000092
wherein: qload,h(t) is the user heat load for a period of t.
③ given the cooling energy requirement:
Figure BDA0002308535160000093
wherein: qload,c(t) is the user cooling load for a period of t.
(1-2) given the maximum output of an in-system energy production unit (i.e. distributed renewable energy production unit) for a period of 8760 years of the year:
maximum output of given wind power generation:
Figure BDA0002308535160000101
wherein: wwindmaxAnd (t) the maximum output of the wind power generation in the time period t.
The thermal and cold loads in this example have no energy production units.
Step 2: establishing physical models of an energy conversion unit and an energy storage unit in the system;
(2-1) constructing a physical model of the energy conversion unit according to the input-output relation of the energy conversion unit:
① A physical model of the air conditioner is constructed:
Cac＝COPcPac(5)
wherein: pacThe unit is the electric power input by the air conditioner, kW; cacThe unit kW is the cold power output by the air conditioner; COPcThe energy efficiency ratio of the air conditioner during refrigeration is obtained.
② A physical model of the electric boiler is constructed:
Heb＝ηebPeb(6)
wherein: pebThe unit is kW of electric power input by the electric boiler; hebη unit of thermal power output by the electric boilerebThe electric heat conversion efficiency of the electric boiler.
(2-2) constructing a physical model according to the charging and discharging energy of the energy storage unit:
① A physical model of the electrical energy storage is constructed:
Figure BDA0002308535160000102
wherein: e (t +1) and E (t) are the electric quantity stored by the electric energy storage before the (t +1) time period and the t time period respectively; deltaeSelf-discharge rate for electrical energy storage; wch(t) and Wdis(t) the charging and discharging amount of the electric energy storage in the t period of time ηch,eAnd ηdis,eThe charging and discharging efficiency of the electric energy storage.
② constructing a physical model of heat storage:
Figure BDA0002308535160000111
wherein: qh(t +1) and Qh(t) the heat stored by the thermal energy storage before the (t +1) time period and the t time period respectively; deltahHeat energy dissipation ratio for heat storage; qch,h(t) and Qdis,h(t) the heat storage energy charging and discharging amount in the t period ηch,hAnd ηdis,hThe heat storage efficiency is the heat charging and discharging efficiency of the heat energy storage.
③ A physical model of cold stored energy is constructed:
Figure BDA0002308535160000112
wherein: qc(t +1) and Qc(t) cold energy stored before the (t +1) time interval and the t time interval of the cold energy storage respectively; deltacA cold energy dissipation ratio for cold stored energy; qch,c(t) and Qdis,c(t) the cold charging and discharging amount of the cold storage energy in t period of time ηch,cAnd ηdis,cThe cold charging and discharging efficiency of cold energy storage is improved.
And step 3: and establishing a comprehensive energy storage optimization configuration model aiming at minimum comprehensive load variance, minimum renewable energy reduction and minimum comprehensive energy storage capacity at the user side, wherein the optimal solution of the model is the optimal capacity which should be configured for each type of energy storage device.
(3-1) calculating the comprehensive load variance of N energy forms of the system:
in the embodiment, the system only purchases from the power distribution networkFor buying electric energy, the integrated load variance is the variance f of the (net) electric load1：
Figure BDA0002308535160000113
Wherein: wbuy(t) is the purchased electric quantity (i.e. net electric load) of the system in the t period;
Figure BDA0002308535160000114
is the average of the (net) electrical load on day n of the year.
(3-2) calculating the comprehensive renewable energy reduction amount of the system:
in the embodiment, the distributed renewable energy production unit of the system only generates power by wind power, and the comprehensive renewable energy reduction amount is the wind power reduction amount f2：
Figure BDA0002308535160000115
Wherein: wwindmax(t) is the maximum output of the wind power generation in the time period t; wwindAnd (t) the actual output of the wind power generation in the time period t.
(3-3) calculating the capacity f of the comprehensive energy storage3：
f3＝γeEe+γhEh+γcEc(12)
Wherein: ee、Eh、EcRespectively configuring capacities of electric energy storage, heat energy storage and cold energy storage; gamma raye、γh、γcWeights respectively allocated to power, heat and cold energy storage capacities by the decision maker are satisfied with gammae+γh+γc＝1。
(3-4) deciding the capacity which each type of energy storage device should be configured with
The decision of the capacity of each type of energy storage device is a multi-target planning problem which takes the minimum of comprehensive load variance, the minimum of renewable energy reduction and the minimum of comprehensive energy storage capacity as targets, the multi-target planning is converted into the single-target planning by a linear weighted sum method, and an objective function is as follows:
Figure BDA0002308535160000121
wherein: f is an objective function, λ1、λ2、λ3The weight assigned to each target by the decision maker satisfies lambda1+λ2+λ3The larger λ is 1, indicating that the decision maker is more focused on achieving this goal. Because the dimensions of the three targets are different, before linear weighted summation, normalization is carried out, and the reference value f of the load variance is synthesized1,baseThe reference value f of the comprehensive load variance and the comprehensive renewable energy reduction amount calculated when the energy storage is not configured can be taken2,baseThe reference value f of the comprehensive renewable energy source reduction and the comprehensive energy storage capacity of the system can be taken when the energy storage is not configured3,baseThe comprehensive energy storage capacity obtained by calculation according to the upper limit of the allocable capacity can be obtained.
The constraint conditions include:
(1) energy storage configuration capacity constraints
Figure BDA0002308535160000122
Wherein:
Figure BDA0002308535160000123
an upper limit of the allocable capacity for electrical energy storage;
Figure BDA0002308535160000124
an upper limit of the allowable capacity for thermal energy storage;
Figure BDA0002308535160000125
is the upper limit of the allocable capacity of cold storage energy.
(2) Energy supply and demand balance constraints
In each time period in the dispatching cycle, the three energy sources of electricity, heat and cold of the system keep supply and demand balance.
① balance of power supply and demand:
Figure BDA0002308535160000131
wherein: wbuy(t) is the purchase amount of electrical energy during the period t; wwind(t) the actual output of wind power in the time period t; wac,c(t) the amount of electricity consumed by the air conditioner during the period t; web(t) is the amount of electricity consumed by the electric boiler during the time period t; wdis(t) and Wch(t) is the discharge and charge of the electrical energy storage over time t; wload(t) is the electrical load for a period of t.
② heat energy supply and demand balance:
Qeb(t)+Qdis,h(t)＝Qch,h(t)+Qload,h(t) (16)
wherein: qeb(t) heat generated by the electric boiler during a period t; qdis,h(t) and Qch,h(t) the heat release and heat charge of the heat storage energy in the period t; qload,h(t) is the thermal load for the period t.
③ balance of cold energy supply and demand:
Qac,c(t)+Qdis,c(t)＝Qch,c(t)+Qload,c(t) (17)
wherein: qac,c(t) is the refrigerating capacity of the air conditioner in a t period; qdis,c(t) and Qch,c(t) is the cold discharge amount and the cold charge amount of the cold stored energy in the time period t; qload,c(t) is the cooling load for a period of t.
(3) Restraint of energy storage unit
① electrical energy storage constraint:
Figure BDA0002308535160000132
wherein: e (t +1) and E (t) are the electric quantity stored by the electric energy storage before the (t +1) time period and the t time period respectively; deltaeSelf-discharge rate for storing energy for electricity ηch,eAnd ηdis,eCharging efficiency and discharging efficiency for electrical energy storage; emaxAnd EminUpper and lower limits for electrical energy storage capacity; peIs the rated power of the electrical energy storage device; Δ t is the length of each period. t is tstartFor the start of the scheduling period, tperiodFor the duration of the scheduling period, one day is usually selected as a scheduling period, at this time tperiod＝24。
② thermal energy storage constraint:
Figure BDA0002308535160000141
wherein: qh(t +1) and Qh(t) the heat stored by the thermal energy storage before the (t +1) time period and the t time period respectively; deltahThermal energy dissipation ratio for heat storage ηch,hAnd ηdis,hThe heat charging efficiency and the heat releasing efficiency are heat energy storage;
Figure BDA0002308535160000142
and
Figure BDA0002308535160000143
upper and lower limits of stored heat for thermal energy storage, PhIs the rated power of the thermal energy storage device.
③ cold stored energy constraint:
Figure BDA0002308535160000144
wherein: qc(t +1) and Qc(t) cold energy stored before the (t +1) time interval and the t time interval of the cold energy storage respectively; deltacCold energy dissipation ratio for cold stored energy ηch,cAnd ηdis,cThe cold charging efficiency and the cold discharging efficiency for cold energy storage;
Figure BDA0002308535160000145
and
Figure BDA0002308535160000146
upper and lower limits of stored cold for cold stored energy, PcIs the rated power of the cold energy storage device.
(4) Energy production unit restraint
The actual output of the wind power generation in each time period should not exceed the maximum output:
0≤Wwind(t)≤Wwindmax(t) (21)
wherein: wwindmax(t) is the maximum output of the wind power generation in the time period t; wwindAnd (t) the actual output of the wind power generation in the time period t.
(5) Energy conversion unit restraint
① air conditioning constraints:
Figure BDA0002308535160000151
wherein:
Figure BDA0002308535160000152
the upper limit of the electric energy consumed by the air conditioner.
② electric boiler constraint:
Figure BDA0002308535160000153
wherein:
Figure BDA0002308535160000154
the upper limit of the electric energy consumed by the electric boiler.
(6) Interacting with energy suppliers with power constraints
Figure BDA0002308535160000155
Wherein:
Figure BDA0002308535160000156
an upper limit of power purchased for the user.
An integrated energy storage optimal configuration system comprising:
and the energy storage optimization configuration model solving module is used for solving the optimal solution of the model according to a pre-established comprehensive energy storage optimization configuration model by taking the minimum comprehensive load variance at the user side, the minimum renewable energy reduction and the minimum comprehensive energy storage capacity as targets to obtain the optimal capacity which should be configured for each type of energy storage device.
The invention optimally configures the comprehensive energy storage by taking the aim of minimum integral load variance, minimum renewable energy reduction and minimum comprehensive energy storage capacity at the user side as the target, and fully exerts the functions of the comprehensive energy storage on promoting peak clipping and valley filling and renewable energy consumption.
The above description is only of the preferred embodiments of the present invention, and it should be noted that: it will be apparent to those skilled in the art that various modifications and adaptations can be made without departing from the principles of the invention and these are intended to be within the scope of the invention.

Claims (10)

1. A comprehensive energy storage optimal configuration method is characterized by comprising the following steps: the method comprises the following steps:
and solving an optimal solution of the model according to a pre-established comprehensive energy storage optimal configuration model by taking the minimum comprehensive load variance at the user side, the minimum renewable energy reduction and the minimum comprehensive energy storage capacity as targets to obtain the optimal capacity which should be configured for each type of energy storage device.
2. The integrated energy storage optimal configuration method according to claim 1, characterized in that:
the user side integrated load variance f1NComprises the following steps:
Figure FDA0002308535150000011
wherein αsTo give the load variance weight of the s-th energy source, satisfy
Figure FDA0002308535150000012
N is the number of energy forms included in the user-side integrated energy system, s is 1, 2.
f1,sLoad variance for the s energy:
Figure FDA0002308535150000013
wherein: wbuy,s(t) the purchase amount of the s-th energy source of the system in the t period;
Figure FDA0002308535150000014
the net load average value of the s energy source on the nth day;
the amount of renewable energy reduction f2NComprises the following steps:
Figure FDA0002308535150000015
wherein βsReducing the weight of renewable energy of the s-th energy source to meet the requirement
Figure FDA0002308535150000016
f2,sThe renewable energy for the s-th energy source is reduced:
Figure FDA0002308535150000017
wherein: wpromax,s(t) the maximum output of the energy production unit of the s-th energy source during the time period t; wpro,s(t) actual output of the energy production unit of the s-th energy source during the time period t;
said integrated energy storage capacity f3NComprises the following steps:
Figure FDA0002308535150000021
wherein: esA capacity configured for the s-th energy storage device; gamma raysThe weight of the s type energy storage capacity is satisfied
Figure FDA0002308535150000022
3. The integrated energy storage optimal configuration method according to claim 2, characterized in that: the comprehensive energy storage optimization configuration model comprises the following steps:
objective function fN：
Figure FDA0002308535150000023
Wherein: lambda [ alpha ]1、λ2、λ3For each target weight, satisfy λ1+λ2+λ3＝1；f1,baseA reference value of the comprehensive load variance; f. of2,baseA reference value for the reduction of the comprehensive renewable energy; f. of3,baseIs a reference value of the comprehensive energy storage capacity;
the constraint conditions include:
(1) energy storage configuration capacity constraint:
Figure FDA0002308535150000024
s＝1,2,...,N
wherein:
Figure FDA0002308535150000025
an upper limit of the allocable capacity for the s-th stored energy;
(2) energy supply and demand balance constraint:
Figure FDA0002308535150000026
s＝1,2,...,N
wherein: wbuy,s(t) the purchase amount of the s-th energy source during the t period; wdis,s(t) and Wch,s(t) discharging energy and charging energy of the s-th energy storage device in a t period; wpro,s(t) actual output of the energy production unit of the s-th energy source during the time period t; wload,s(t) user load of the s-th energy source during the t period; in terms of energy conversion, it is assumed that energy can only be converted from high grade to low grade; wi,s(t) is the amount of energy i converted into energy s consumed by the energy i during a period t, Ki,s(t) conversion efficiency of corresponding energy conversion device；Ws,j(t) converting the energy s into the amount of energy s consumed by the energy j for a period t;
(3) and (4) energy storage unit restraint:
Figure FDA0002308535150000031
0≤Es(t)≤Es
0≤Wch,s(t)ηch,s≤PsΔt
Figure FDA0002308535150000032
Es(tstart)＝Es(tstart+tperiod)
wherein: es(t +1) and Es(t) the energy stored by the energy storage device of the s type before the time period of t +1 and before the time period of t respectively; deltasη, the self-discharge rate of the energy storage device of the s typech,sAnd ηdis,sThe charging efficiency and the discharging efficiency of the energy storage device of the s type are improved; psRated power of the energy storage device of the s type; t is tstartFor the start of the scheduling period, tperiodIs the scheduling period duration; Δ t is the length of each time interval;
(4) energy production unit restraint:
0≤Wpro,s(t)≤Wpromax,s(t)
s＝1,2,...,N
wherein: wpromax,s(t) the maximum output of the energy production unit of the s-th energy source during the time period t; wpro,s(t) actual output of the energy production unit of the s-th energy source during the time period t;
(5) and (3) restraining the energy conversion unit:
Figure FDA0002308535150000033
Ki,j(t)＝f0(Wi,j(t))
i,j＝1,2,...,Ni＜j
wherein: wi,j(t) converting the energy i into the amount of energy i consumed by the energy j for a period t;
Figure FDA0002308535150000034
is the upper limit of the energy i converted into energy j; ki,j(t) efficiency of energy i to energy j during time t; function f0Related to the operating characteristics of the energy conversion unit;
(6) interaction with energy suppliers power constraints:
Figure FDA0002308535150000035
s＝1,2,...,N
wherein:
Figure FDA0002308535150000041
the upper limit of the purchase of the s-th energy source.
4. The integrated energy storage optimal configuration method according to claim 3, characterized in that: user load W of the s energy source in t periodload,s(t) is:
Wload,s(t)
s＝1,2,...,N t＝1,2,...,8760
wherein: n is the number of energy forms included by the user side comprehensive energy system;
the maximum output of the energy production unit of the s-th energy source in the t period is as follows:
Figure FDA0002308535150000042
5. the integrated energy storage optimal configuration method according to claim 3, characterized in that: the energy conversion unit is a unit for converting energy into energy in other forms.
6. The integrated energy storage optimal configuration method according to claim 3, characterized in that: the energy production unit is an energy generation unit at the user side and comprises a distributed wind power or photovoltaic power generation unit at the user side.
7. The integrated energy storage optimal configuration method according to claim 3, characterized in that: the energy storage unit comprises an electric energy storage unit, a heat energy storage unit and a cold energy storage unit.
8. An integrated energy storage optimal configuration system is characterized in that: the method comprises the following steps:
and the energy storage optimization configuration model solving module is used for solving the optimal solution of the model according to a pre-established comprehensive energy storage optimization configuration model by taking the minimum comprehensive load variance at the user side, the minimum renewable energy reduction and the minimum comprehensive energy storage capacity as targets to obtain the optimal capacity which should be configured for each type of energy storage device.
9. The integrated energy storage optimized configuration system of claim 8, wherein: the user side integrated load variance f1NComprises the following steps:
Figure FDA0002308535150000043
wherein αsTo give the load variance weight of the s-th energy source, satisfy
Figure FDA0002308535150000044
N is the number of energy forms included in the user-side integrated energy system, s is 1, 2.
f1,sLoad variance for the s energy:
Figure FDA0002308535150000051
wherein: wbuy,s(t) the purchase amount of the s-th energy source of the system in the t period;
Figure FDA0002308535150000052
the net load average value of the s energy source on the nth day;
the amount of renewable energy reduction f2NComprises the following steps:
Figure FDA0002308535150000053
wherein βsReducing the weight of renewable energy of the s-th energy source to meet the requirement
Figure FDA0002308535150000054
f2,sThe renewable energy for the s-th energy source is reduced:
Figure FDA0002308535150000055
wherein: wpromax,s(t) the maximum output of the energy production unit of the s-th energy source during the time period t; wpro,s(t) actual output of the energy production unit of the s-th energy source during the time period t;
said integrated energy storage capacity f3NComprises the following steps:
Figure FDA0002308535150000056
wherein: esA capacity configured for the s-th energy storage device; gamma raysThe weight of the s type energy storage capacity is satisfied
Figure FDA0002308535150000057
10. The integrated energy storage optimized configuration system of claim 9, wherein: the comprehensive energy storage optimization configuration model comprises the following steps:
objective function fN：
Figure FDA0002308535150000058
Wherein: lambda [ alpha ]1、λ2、λ3For each target weight, satisfy λ1+λ2+λ3＝1；f1,baseA reference value of the comprehensive load variance; f. of2,baseA reference value for the reduction of the comprehensive renewable energy; f. of3,baseIs a reference value of the comprehensive energy storage capacity;
the constraint conditions include:
(1) energy storage configuration capacity constraint:
Figure FDA0002308535150000061
s＝1,2,...,N
wherein:
Figure FDA0002308535150000062
an upper limit of the allocable capacity for the s-th stored energy;
(2) energy supply and demand balance constraint:
Figure FDA0002308535150000063
s＝1,2,...,N
wherein: wbuy,s(t) the purchase amount of the s-th energy source during the t period; wdis,s(t) and Wch,s(t) discharging energy and charging energy of the s-th energy storage device in a t period; wpro,s(t) actual output of the energy production unit of the s-th energy source during the time period t; wload,s(t) user load of the s-th energy source during the t period; in terms of energy conversion, it is assumed that energy can only be converted from high grade to low grade (energy 1 to energy N grades are sequentially reduced): wi,s(t) is the amount of energy i converted into energy s consumed by the energy i during a period t, Ki,s(t) conversion efficiency of the corresponding energy conversion device; ws,j(t) converting the energy s into the amount of energy s consumed by the energy j for a period t;
(3) and (4) energy storage unit restraint:
Figure FDA0002308535150000064
0≤Es(t)≤Es
0≤Wch,s(t)ηch,s≤PsΔt
Figure FDA0002308535150000065
Es(tstart)＝Es(tstart+tperiod)
wherein: es(t +1) and Es(t) the energy stored by the energy storage device of the s type before the time period of t +1 and before the time period of t respectively; deltasη, the self-discharge rate of the energy storage device of the s typech,sAnd ηdis,sThe charging efficiency and the discharging efficiency of the energy storage device of the s type are improved; psRated power of the energy storage device of the s type; t is tstartFor the start of the scheduling period, tperiodIs the scheduling period duration; Δ t is the length of each time interval;
(4) energy production unit restraint:
0≤Wpro,s(t)≤Wpromax,s(t)
s＝1,2,...,N
wherein: wpromax,s(t) the maximum output of the energy production unit of the s-th energy source during the time period t; wpro,s(t) actual output of the energy production unit of the s-th energy source during the time period t;
(5) and (3) restraining the energy conversion unit:
Figure FDA0002308535150000071
Ki,j(t)＝f0(Wi,j(t))
i,j＝1,2,...,Ni＜j
wherein: wi,j(t) conversion of energy i into energy j consumed for a period tThe amount of energy i;
Figure FDA0002308535150000072
is the upper limit of the energy i converted into energy j; ki,j(t) efficiency of energy i to energy j during time t; function f0Related to the operating characteristics of the energy conversion unit;
(6) interaction with energy suppliers power constraints:
Figure FDA0002308535150000073
s＝1,2,...,N
wherein:
Figure FDA0002308535150000074
the upper limit of the purchase of the s-th energy source.
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