CN106056246A - Energy storage capacity optimization method of cooling heating and power multi-potent flow microgrid considering operation - Google Patents

Abstract

The present invention relates to an energy storage capacity optimization method of cooling heating and power multi-potent flow microgrid considering operation, belonging to the field of the optimization scheduling technology in the operation of the multi-potent coupling system. The optimization of the energy storage capacity and the operation optimization of the multi-potent flow microgrid are entirely considered. The economic benefit and the effect of a large power grid peak clipping filling valley of the cooling heating and power flow scheduling in the multi-potent flow microgrid brought by the cooling heating and power are fully considered, and the high cost of the cooling heating and power energy storage configuration is also considered. The energy storage capacity optimization method of cooling heating and power multi-potent flow microgrid considering operation and the multi-potent flow microgrid operation optimization are coordinated to optimize different energy storage capacity of the cooling heating and power to realize the optimization of the total economic benefit of the system. The energy storage capacity optimization method of cooling heating and power multi-potent flow microgrid considering operation can provide reference for the economic and reasonable selection of the types and the capacities of energy storage of the microgrid service providers and the exchange capacity of a superior power grid so as to realize the optimized benefit of the multi-potent flow microgrid operation.

Description

A kind of cool and thermal power multipotency stream micro-capacitance sensor considers the energy storage capacity optimization method run

Technical field

The present invention relates to the energy storage capacity optimization method that a kind of cool and thermal power multipotency stream micro-capacitance sensor considers to run, belong to multipotency stream The operating Optimum Scheduling Technology field of coupled system.

Background technology

Due to becoming increasingly conspicuous of environmental problem and energy problem, to develop clean energy resource, to ensure energy security, solution Environmental issue is the various new forms of energy of core content and energy utilization type is greatly developed.And continuous along with network concept In-depth, gradually the concept with the energy mutually merges, and creates " with power system as core ", " main primary energy is renewable The energy ", the energy the Internet concept of " other system of combining closely ".Energy the Internet requires utilization more efficient, continuable The energy, one of its key character breaks traditions the hedge that energy resource supply mutually isolates exactly, it is achieved various energy resources form collaborative Optimize, and containing supply of cooling, heating and electrical powers (Combined Cooling Heating and Power System, CCHP) with distributed can The micro-capacitance sensor of the renewable sources of energy, then be a kind of typical energy the Internet way of realization.

Multipotency stream microgrid then combines micro-capacitance sensor and energy the Internet two conception of species, has various features.One be have cold Thermoelectricity multipotency stream alliance and regenerative resource；Two is to have multiple multipotency flow device, it is possible to realize comprehensive energy supply.Due to Multipotency stream microgrid incorporates regenerative resource, traditional electric energy stream, the cold and hot energy stream being newly added and various forms of cool and thermal power and bears Lotus and equipment, compare more traditional microgrid, and it is internal various can intercouple and affect by streams, is generally possible to obtain the most excellent Operational efficiency of the economy, but its operation characteristic is increasingly complex.

The various forms of energy storage devices being configured with in multipotency stream microgrid add the multiformity of system traffic control And motility, the time scheduling for cold and hot electric energy stream can bring higher economic benefit.Various types of cool and thermal power energy storage Economic benefit and operating characteristic are the most different.On the one hand eurypalynous energy storage device can play the effect of peak load shifting, separately On the one hand uncertainty is also had to a certain degree of abated effect.Additionally, due to that respectively can flow intercouples, the capacity of energy storage Selection and optimize running closely bound up, the optimization of stored energy capacitance and system optimized operation have the strongest coupled characteristic, with Time also make microgrid become increasingly complex with the energy exchange between higher level's electrical network.There is no multipotency stream microgrid stored energy capacitance optimization at present Method, and the configuration of energy storage is substantially more expensive, it is therefore desirable to the optimization method of stored energy capacitance in research multipotency stream microgrid.

Summary of the invention

The purpose of the present invention is to propose to the energy storage capacity optimization method that a kind of cool and thermal power multipotency stream micro-capacitance sensor considers to run, examine Considering multipotency stream microgrid running optimizatin and the energy exchange with higher level's electrical network, in research multipotency stream microgrid, stored energy capacitance is with the association run Same optimization method, finds more suitably stored energy capacitance size.

A kind of cool and thermal power multipotency stream micro-capacitance sensor that the present invention proposes considers the energy storage capacity optimization method run, including following Step:

(1) setting up the Optimized model that a cold-hot-electricity multipotency stream micro-capacitance sensor runs, process is as follows:

(1-1) Optimized model that cold-hot in cold-hot-electricity multipotency stream micro-capacitance sensor-CCHP equipment is run is set up:

In cold-hot-CCHP device model, the model of power supply unit is as follows:

P_{l min}≤P_l(i)≤P_{l max}

-RD_l≤P_l(i+1)-P_l(i)≤RU_l

Wherein: i is the numbering running the period, P_lFor the active power of cold-hot-CCHP equipment, P_{l min}And P_{l max}Respectively For the upper and lower bound of cold-hot-CCHP equipment active power, RD_lActive power for cold-hot-CCHP equipment is climb Ratio of slope, RU_lFor the active power climbing rate downwards of cold-hot-CCHP equipment, RD_lAnd RU_lProduct by cold-hot-CCHP equipment Product description provides；

In cold-hot-CCHP device model, the model of heat supply/cool equipment is as follows:

H_{l min}≤H_l(i)≤H_{l max}

-RD_hl≤H_l(i+1)-H_l(i)≤RU_hl

H_l(i)≥H_lh(i)/η_hex+L_lc(i)/η_COP

Wherein: H_lHeat for cold-hot-CCHP equipment is exerted oneself, H_{l min}And H_{l max}It is respectively cold-hot-CCHP equipment The upper and lower bound that heat is exerted oneself, RD_hlThe ratio of slope of climbing exerted oneself for cold-hot-CCHP equipment heat, RU_hlFor cold-hot-CCHP The downward climbing rate that equipment heat is exerted oneself, RD_hlAnd RU_hlObtain from the product description of cold-hot-CCHP equipment, H_lhFor cold-hot- The heating power of CCHP equipment, L_lcFor the cooling power of cold-hot-CCHP equipment, η_hexConfession for cold-hot-CCHP equipment Thermal conversion efficiency factor, η_copFor the cooling conversion efficiency factor of cold-hot CCHP equipment, η_hexAnd η_copFrom cold-hot-CCHP The product description of equipment obtains；

In cold-hot-CCHP device model, the cold coupled relation of electric heating is:

a_fP_l(i)+b_fH_l(i)=F_l(i)

H_l(i)=c₁P_l(i)+c₂

Wherein: F_lFor the air consumption of cold-hot-CCHP equipment, a_fAnd b_fIt is respectively the gas consumption effect of cold-hot-CCHP equipment Rate factor, c₁, c₂Exert oneself coupling factor for the electric heating of cold-hot-CCHP equipment, a_f、b_f、c₁And c₂Respectively from cold-hot-CCHP The product description of equipment obtains；

(1-2) Optimized model that in cold-hot-electricity multipotency stream micro-capacitance sensor, heating boiler runs is set up as follows:

0≤H(i)≤H_max

-RD_h≤H(i+1)-H(i)≤RU_h

H (i)=η F (i)

Wherein: H is the thermal power of heating boiler, H_maxFor the thermal power upper limit of heating boiler, RD_hFor heating boiler to Swash ratio of slope, RU_hFor the downward climbing rate of heating boiler, F is the air consumption of heating boiler, η be heating boiler the thermal efficiency because of Number, H_max、RD_h、RU_hObtain from the product nameplate of heating boiler with η；

(1-3) Optimized model that in cold-hot-electricity multipotency stream micro-capacitance sensor, energy conversion runs is set up as follows:

0≤P_EH(i)≤P_{EH max}

H_EH(i)=η_EHP_EH(i)

0≤P_EC(i)≤P_{EC max}

L_EC(i)=η_ECP_EC(i)

Wherein: P_EHElectric heating for energy conversion changes electrical power, P_{EH max}Electric work is changed for energy conversion electric heating The rate upper limit, H_EHFor the electric heating transition heat output of energy conversion, η_EHFor energy conversion electric conversion efficiency because of Number, P_ECFor the electricity cold conversion electrical power of energy conversion, P_{EC max}For the electricity cold conversion electrical power upper limit of energy conversion, L_ECFor the electricity cold output of cold conversion of energy conversion, η_ECFor the electricity cold conversion efficiency factor of energy conversion, P_{EH max}、η_EH、P_{EC max}And η_ECObtain from the product description of energy conversion；

(1-4) Optimized model that in cold-hot-electricity multipotency stream micro-capacitance sensor, multipotency stream energy storage device runs is set up as follows:

The Optimized model that electricity energy storage device runs is as follows:

0≤P_dis,char(i)≤P_{E max}

SoC (i)=SoC (i-1)+η_cP_char(i)-P_dis(i)/η_d

SoC_min≤SoC(i)≤SoC_max

P_dis(i)·P_char(i)=0

Wherein: P_disAnd P_charIt is respectively charge power and discharge power, the P of electricity energy storage device_{E max}For electricity energy storage device Maximum charge power and maximum discharge power, SoC is the electric energy storage current capacities of electricity energy storage device, SoC_minFor electricity energy storage device Electric energy storage minimum capacity, SoC_maxFor the electric energy storage heap(ed) capacity of electricity energy storage device, η_cAnd η_dIt is respectively filling of electricity energy storage device Electrical efficiency factor and discharging efficiency factor, wherein, P_{E max}、SoC_min、SoC_max、η_cAnd η_dProduct description from electricity energy storage device Middle acquisition；

The Optimized model that hot energy storage device runs is as follows:

0≤H_TI,TO(i)≤H_TI,TO,max

HE_T(i)=η_HHE_T(i-1)+η_HIH_TI(i)-H_TO(i)/η_HO

HE_T,min≤HE_T(i)≤HE_T,max

H_TO(i)·H_TI(i)=0

Wherein: H_TIAnd H_TOIt is respectively heat accumulation power and heat release power, the H of hot energy storage device_TI,TO,maxFor hot energy storage device Maximum heat accumulation power and exothermic maximum power, HE_TFor the hot energy storage current capacities of hot energy storage device, HE_T,minSet for hot energy storage Standby hot energy storage minimum capacity, HE_T,maxFor the hot energy storage heap(ed) capacity of hot energy storage device, η_HIAnd η_HOIt is respectively hot energy storage device Heat accumulation efficiency factor and exothermal efficiency factor, η_HFor the thermal dissipation factor of hot energy storage device, wherein, H_TI,TO,max、HE_T,min、 HE_T,max、η_HI、η_HOAnd η_HObtain from the product description of hot energy storage device；

The Optimized model that cold energy storage device runs is as follows:

0≤L_TI,TO(i)≤L_TI,TO,max

LE_T(i)=η_CLE_T(i-1)+η_CIL_TI(i)-L_TO(i)/η_CO

LE_T,min≤LE_T(i)≤LE_T,max

L_TO(i)·L_TI(i)=0

Wherein: L_TIAnd L_TOIt is respectively the cold power of storage of cold energy storage device and lets cool power, L_TI,TO,maxFor cold energy storage device Maximum store up cold power and maximum and let cool power, LE_TFor the cold energy storage current capacities of cold energy storage device, LE_T,minSet for cold energy storage Standby cold energy storage minimum capacity, LE_T,maxFor the cold energy storage heap(ed) capacity of cold energy storage device, η_CIAnd η_COIt is respectively cold energy storage device Storage cold efficiency factor and let cool efficiency factor, η_CFor the cold energy dissipation factor of cold energy storage device, wherein, L_TI,TO,max、LE_T,min、 LE_T,max、η_CI、η_COAnd η_CObtain from the product description of cold energy storage device；

(1-5) cold-hot-electricity multipotency stream micro-capacitance sensor is set up as follows with the energy exchange model of higher level's electrical network:

0≤P_buy(i)≤P_{grid max}

0≤P_sell(i)≤P_{grid max}

P_buy(i)·P_sell(i)=0

Wherein: P_buyFor cold-hot-electricity multipotency stream micro-capacitance sensor from the power purchase power of higher level's electrical network, P_sellFor cold-hot-electricity multipotency The sale of electricity power of stream micro-capacitance sensor superior electrical network, P_{grid max}Energy for cold-hot-between electricity multipotency stream micro-capacitance sensor and higher level's electrical network Exchange peak power；

(1-6) balance model of energy in cold-hot-electricity multipotency stream micro-capacitance sensor is set up as follows:

Electric energy balance model is:

$\underset{j=1}{\overset{m}{\Σ}}{P}_j+P_l+P_{buy}+P_{dis}=E_{load}+P_{sell}+P_{char}+P_{EH}+P_{EC}$

Wherein: P_jFor the active power of regenerative resource in cold-hot-electricity multipotency stream micro-capacitance sensor, m is cold-hot-electricity multipotency stream The quantity of renewable energy generation, E in micro-capacitance sensor_loadFor total power budget of cold-hot-electricity multipotency stream micro-capacitance sensor, remaining symbol Implication is ibid；

Thermal energy balance model is:

H_lh+H+H_EH+H_TO≥H_load+H_TI

Wherein: H_loadFor the total heat energy load of cold-hot-electricity multipotency stream micro-capacitance sensor, remaining symbol implication is ibid；

Cold energy balance model is:

L_lc+L_EC+L_TO≥L_load+L_TI

Wherein: L_loadFor total cold energy load of cold-hot-electricity multipotency stream micro-capacitance sensor, remaining symbol implication is ibid；

(1-7) optimization object function setting up cold-hot-electricity multipotency stream micro-capacitance sensor operation is as follows:

Performance driving economy based on microgrid operator and safety, the optimization aim of multipotency stream microgrid can be described as multipotency The operating cost of stream microgrid entirety minimizes, and i.e. runs the maximization of interests.Optimization aim can be described as follows:

$\min \underset{i}{\Σ}\left(\begin{array}{c}{C}_{Pbuy}\·P_{buy}-C_{Psell}\·P_{sell}+C_{gas}\·F_l+C_{gas}\·F+C_{Ec}\left(P_{char}\right)+C_{Ed}\left(P_{dis}\right)\\ +C_{Hc}\left(H_{TI}\right)+C_{Hd}\left(H_{TO}\right)+C_{Lc}\left(L_{TI}\right)+C_{Ld}\left(L_{TO}\right)-C_{all}\·P_l+C_{tras}{P}_{grid\max }\end{array}\right)$

Wherein: C_PbuyFor cold-hot-electricity multipotency stream micro-capacitance sensor from the electricity price of higher level's electrical network power purchase, C_PsellMany for cold-hot-electricity The electricity price of micro-capacitance sensor superior electrical network sale of electricity, C can be flowed_gasFor Gas Prices, C_EcAnd C_EdIt is respectively cold-hot-electricity multipotency stream micro- The charging expense of electricity energy storage device and electric discharge expense, C in electrical network_HcAnd C_HdIt is respectively heat storage in cold-hot-electricity multipotency stream micro-capacitance sensor The heat accumulation expense of energy equipment and heat release expense, C_LcAnd C_LdIt is respectively the storage of cold energy storage device in cold-hot-electricity multipotency stream micro-capacitance sensor Cold expense and let cool expense, C_allFor the operation subsidy of supply of cooling, heating and electrical powers equipment, C in cold-hot-electricity multipotency stream micro-capacitance sensor_transFor The ore-hosting rock series that cold-hot-electricity multipotency stream micro-capacitance sensor exchanges with higher level's power grid energy；

(2) a stored energy capacitance Optimized model considering that cold-hot-electricity multipotency stream micro-capacitance sensor runs is set up as follows:

min(S_eec·EEC+S_hec·HEC+S_lec·LEC+min(C₀ ^Tx₀+S_trans·P_trans))

Wherein: inner minimization model min (C₀ ^Tx₀+S_trans·P_trans) it is the cold-hot-electricity multipotency stream of above-mentioned steps (1) The optimization object function that micro-capacitance sensor runs, x therein₀Represent except cold-hot-electricity multipotency stream micro-capacitance sensor holds with the exchange of higher level's electrical network Other optimized variables beyond amount, including: supply of cooling, heating and electrical powers air consumption, supply of cooling, heating and electrical powers generated energy, supply of cooling, heating and electrical powers quantity of heat production, Multipotency stream micro-capacitance sensor from higher level's electrical network purchase of electricity, superior electrical network electricity sales amount, heating boiler air consumption, electricity energy storage charge and discharge power, Hot energy storage charge and discharge power, cold energy storage charge and discharge power etc., EEC, HEC and LEC are respectively the electricity storage of cold-hot-electricity multipotency stream micro-capacitance sensor Energy, hot energy storage and the capacity optimized variable of cold energy storage, S_eec, S_hec, S_lecRepresent the electricity storage of cold-hot-electricity multipotency stream micro-capacitance sensor respectively Energy, hot energy storage, the cost (can calculate in units of sky) of cold energy storage unit capacity；

(3) solve the stored energy capacitance Optimized model of above-mentioned steps (2), stored energy capacitance Optimized model is decomposed by solution procedure It is two stages:

First stage, EEC, HEC and LEC are set to definite value, and with the exchange capacity P of higher level's electrical network_transFor optimizing Variable, the expression formula of first stage stored energy capacitance Optimized model is:

$\underset{x_0,P_{trans}}{min}({C_0}^T{x}_0+S_{trans}\·P_{rans})$

When solving second stage, exchange capacity P_transFor setting value, stored energy capacitance is optimized variable, two minimum model One can be merged, the expression formula of second stage stored energy capacitance Optimized model:

$\underset{x_0,EEC,HEC,LEC}{min}(S_{eec}\·EEC+S_{hec}\·HEC+S_{lec}\·LEC+{C_0}^T{x}_0+S_{trans}\·P_{trans})$

(4) use alternative manner, ask above-mentioned steps (3) is decomposed into the stored energy capacitance Optimized model in two stages Solving, process is as follows:

(4-1) the cool and thermal power stored energy capacitance initial value of cold-hot-electricity multipotency stream micro-capacitance sensor is set as S₀；

(4-2) above-mentioned cool and thermal power stored energy capacitance is substituted into above-mentioned first stage stored energy capacitance Optimized model, due to uncertain Property etc. the addition of factor may make model nonlinear, the methods such as subregion demarcation can be used to solve microgrid and to optimize ruuning situation.Meter Calculation obtains first stage optimum results, obtains cool and thermal power multipotency stream micro-capacitance sensor and higher level's electrical network from first stage optimum results Exchange capacity, is designated as P by this exchange capacity_max；

(4-3) by cool and thermal power stored energy capacitance and the exchange capacity P of step (4-2) of above-mentioned steps (4-1)_max, substitute into above-mentioned The Optimized model that the cold-hot of step (1)-electricity multipotency stream micro-capacitance sensor runs, is calculated cold-hot-electricity multipotency stream micro-capacitance sensor and runs Optimized model and energy storage cost overall efficiency, and convert to sky, operation and energy storage cost overall efficiency be designated as Q_A；

(4-4) by the exchange capacity P of above-mentioned steps (4-2)_maxSubstitute into above-mentioned second stage stored energy capacitance Optimized model, with Sample uses the methods such as subregion demarcation that microgrid whole year operation benefit and stored energy capacitance carry out optimization, is calculated second stage excellent Change result, conversion to sky, operation and energy storage cost overall efficiency are designated as Q_B, from second stage optimum results obtain cold-hot- The stored energy capacitance that electricity multipotency stream is micro-, is designated as S by stored energy capacitance；

(4-5) by operation and energy storage cost overall efficiency Q of above-mentioned steps (4-3)_AOperation with above-mentioned steps (4-4) and Energy storage cost overall efficiency Q_BCompare, if | Q_A-Q_B| the span of≤δ, δ is 10^-5-10^-7, then iteration terminates, and will The stored energy capacitance S and exchange capacity P of current iteration_maxThe optimum stored energy capacitance that runs as cold-hot-electricity multipotency stream micro-capacitance sensor and Cold-hot-electricity multipotency stream microgrid and the exchange capacity of higher level's electrical network, the multipotency stream microgrid in current iteration runs and energy storage cost is whole Body benefit Q_AOr Q_BOptimum benefit as cold-hot-electricity multipotency stream microgrid day operation；If | Q_A-Q_B| ＞ δ, then current iteration is obtained The stored energy capacitance S arrived replaces original value, returns step (4-2).

The cool and thermal power multipotency stream micro-capacitance sensor that the present invention proposes considers the energy storage capacity optimization method run, its feature and effect It is: entirety considers optimization and the running optimizatin of multipotency stream microgrid of stored energy capacitance.On the one hand cool and thermal power energy storage has been taken into full account The economic benefit that cold and hot electric energy stream scheduling in multipotency stream microgrid is brought and the effect to bulk power grid peak load shifting, the most also In view of the higher cost of cool and thermal power energy storage configuration, by coordinating mutually with multipotency stream microgrid running optimizatin to store up cool and thermal power is different Can be optimized by capacity, it is achieved the optimization of system whole economic efficiency.This method can be the choosing of microgrid operator economical rationality Select the type of energy storage and capacity and the exchange capacity with higher level's electrical network provides reference, thus realize multipotency stream microgrid and run Excellent benefit.

Detailed description of the invention

The cool and thermal power multipotency stream micro-capacitance sensor that the present invention proposes considers the energy storage capacity optimization method run, including following step Rapid:

(1) setting up the Optimized model that a cold-hot-electricity multipotency stream micro-capacitance sensor runs, process is as follows:

(1-1) Optimized model that cold-hot in cold-hot-electricity multipotency stream micro-capacitance sensor-CCHP equipment is run is set up:

In cold-hot-CCHP device model, the model of power supply unit is as follows:

P_{l min}≤P_l(i)≤P_{l max}

-RD_l≤P_l(i+1)-P_l(i)≤RU_l

Wherein: i is the numbering running the period, P_lFor the active power of cold-hot-CCHP equipment, P_{l min}And P_{l max}Respectively For the upper and lower bound of cold-hot-CCHP equipment active power, RD_lActive power for cold-hot-CCHP equipment is climb Ratio of slope, RU_lFor the active power climbing rate downwards of cold-hot-CCHP equipment, RD_lAnd RU_lProduct by cold-hot-CCHP equipment Product description provides；

In cold-hot-CCHP device model, the model of heat supply/cool equipment is as follows:

H_{l min}≤H_l(i)≤H_{l max}

-RD_hl≤H_l(i+1)-H_l(i)≤RU_hl

H_l(i)≥H_lh(i)/η_hex+L_lc(i)/η_COP

Wherein: H_lHeat for cold-hot-CCHP equipment is exerted oneself, H_{l min}And H_{l max}It is respectively cold-hot-CCHP equipment The upper and lower bound that heat is exerted oneself, RD_hlThe ratio of slope of climbing exerted oneself for cold-hot-CCHP equipment heat, RU_hlFor cold-hot-CCHP The downward climbing rate that equipment heat is exerted oneself, RD_hlAnd RU_hlObtain from the product description of cold-hot-CCHP equipment, H_lhFor cold-hot- The heating power of CCHP equipment, L_lcFor the cooling power of cold-hot-CCHP equipment, η_hexConfession for cold-hot-CCHP equipment Thermal conversion efficiency factor, η_copFor the cooling conversion efficiency factor of cold-hot CCHP equipment, η_hexAnd η_copFrom cold-hot-CCHP The product description of equipment obtains；

In cold-hot-CCHP device model, the cold coupled relation of electric heating is:

a_fP_l(i)+b_fH_l(i)=F_l(i)

H_l(i)=c₁P_l(i)+c₂

Wherein: F_lFor the air consumption of cold-hot-CCHP equipment, a_fAnd b_fIt is respectively the gas consumption effect of cold-hot-CCHP equipment Rate factor, c₁, c₂Exert oneself coupling factor for the electric heating of cold-hot-CCHP equipment, a_f、b_f、c₁And c₂Respectively from cold-hot-CCHP The product description of equipment obtains；

(1-2) Optimized model that in cold-hot-electricity multipotency stream micro-capacitance sensor, heating boiler runs is set up as follows:

0≤H(i)≤H_max

-RD_h≤H(i+1)-H(i)≤RU_h

H (i)=η F (i)

Wherein: H is the thermal power of heating boiler, H_maxFor the thermal power upper limit of heating boiler, RD_hFor heating boiler to Swash ratio of slope, RU_hFor the downward climbing rate of heating boiler, F is the air consumption of heating boiler, η be heating boiler the thermal efficiency because of Number, H_max、RD_h、RU_hObtain from the product nameplate of heating boiler with η；

(1-3) Optimized model that in cold-hot-electricity multipotency stream micro-capacitance sensor, energy conversion runs is set up as follows:

0≤P_EH(i)≤P_{EH max}

H_EH(i)=η_EHP_EH(i)

0≤P_EC(i)≤P_{EC max}

L_EC(i)=η_ECP_EC(i)

Wherein: P_EHElectric heating for energy conversion changes electrical power, P_{EH max}Electric work is changed for energy conversion electric heating The rate upper limit, H_EHFor the electric heating transition heat output of energy conversion, η_EHFor energy conversion electric conversion efficiency because of Number, P_ECFor the electricity cold conversion electrical power of energy conversion, P_{EC max}For the electricity cold conversion electrical power upper limit of energy conversion, L_ECFor the electricity cold output of cold conversion of energy conversion, η_ECFor the electricity cold conversion efficiency factor of energy conversion, P_{EH max}、η_EH、P_{EC max}And η_ECObtain from the product description of energy conversion；

(1-4) Optimized model that in cold-hot-electricity multipotency stream micro-capacitance sensor, multipotency stream energy storage device runs is set up as follows:

The Optimized model that electricity energy storage device runs is as follows:

0≤P_dis,char(i)≤P_Emax

SoC (i)=SoC (i-1)+η_cP_char(i)-P_dis(i)/η_d

SoC_min≤SoC(i)≤SoC_max

P_dis(i)·P_char(i)=0

Wherein: P_disAnd P_charIt is respectively charge power and discharge power, the P of electricity energy storage device_{E max}For electricity energy storage device Maximum charge power and maximum discharge power, SoC is the electric energy storage current capacities of electricity energy storage device, SoC_minFor electricity energy storage device Electric energy storage minimum capacity, SoC_maxFor the electric energy storage heap(ed) capacity of electricity energy storage device, η_cAnd η_dIt is respectively filling of electricity energy storage device Electrical efficiency factor and discharging efficiency factor, wherein, P_{E max}、SoC_min、SoC_max、η_cAnd η_dProduct description from electricity energy storage device Middle acquisition；

The Optimized model that hot energy storage device runs is as follows:

0≤H_TI,TO(i)≤H_TI,TO,max

HE_T(i)=η_HHE_T(i-1)+η_HIH_TI(i)-H_TO(i)/η_HO

HE_T,min≤HE_T(i)≤HE_T,max

H_TO(i)·H_TI(i)=0

Wherein: H_TIAnd H_TOIt is respectively heat accumulation power and heat release power, the H of hot energy storage device_TI,TO,maxFor hot energy storage device Maximum heat accumulation power and exothermic maximum power, HE_TFor the hot energy storage current capacities of hot energy storage device, HE_T,minSet for hot energy storage Standby hot energy storage minimum capacity, HE_T,maxFor the hot energy storage heap(ed) capacity of hot energy storage device, η_HIAnd η_HOIt is respectively hot energy storage device Heat accumulation efficiency factor and exothermal efficiency factor, η_HFor the thermal dissipation factor of hot energy storage device, wherein, H_TI,TO,max、HE_T,min、 HE_T,max、η_HI、η_HOAnd η_HObtain from the product description of hot energy storage device；

The Optimized model that cold energy storage device runs is as follows:

0≤L_TI,TO(i)≤L_TI,TO,max

LE_T(i)=η_CLE_T(i-1)+η_CIL_TI(i)-L_TO(i)/η_CO

LE_T,min≤LE_T(i)≤LE_T,max

L_TO(i)·L_TI(i)=0

Wherein: L_TIAnd L_TOIt is respectively the cold power of storage of cold energy storage device and lets cool power, L_TI,TO,maxFor cold energy storage device Maximum store up cold power and maximum and let cool power, LE_TFor the cold energy storage current capacities of cold energy storage device, LE_T,minSet for cold energy storage Standby cold energy storage minimum capacity, LE_T,maxFor the cold energy storage heap(ed) capacity of cold energy storage device, η_CIAnd η_COIt is respectively cold energy storage device Storage cold efficiency factor and let cool efficiency factor, η_CFor the cold energy dissipation factor of cold energy storage device, wherein, L_TI,TO,max、LE_T,min、 LE_T,max、η_CI、η_COAnd η_CObtain from the product description of cold energy storage device；

(1-5) cold-hot-electricity multipotency stream micro-capacitance sensor is set up as follows with the energy exchange model of higher level's electrical network:

0≤P_buy(i)≤P_{grid max}

0≤P_sell(i)≤P_{grid max}

P_buy(i)·P_sell(i)=0

Wherein: P_buyFor cold-hot-electricity multipotency stream micro-capacitance sensor from the power purchase power of higher level's electrical network, P_sellFor cold-hot-electricity multipotency The sale of electricity power of stream micro-capacitance sensor superior electrical network, P_{grid max}Energy for cold-hot-between electricity multipotency stream micro-capacitance sensor and higher level's electrical network Exchange peak power；

(1-6) balance model of energy in cold-hot-electricity multipotency stream micro-capacitance sensor is set up as follows:

Electric energy balance model is:

$\underset{j=1}{\overset{m}{\Σ}}{P}_j+P_l+P_{buy}+P_{dis}=E_{load}+P_{sell}+P_{char}+P_{EH}+P_{EC}$

Wherein: P_jFor the active power of regenerative resource in cold-hot-electricity multipotency stream micro-capacitance sensor, m is cold-hot-electricity multipotency stream The quantity of renewable energy generation, E in micro-capacitance sensor_loadFor total power budget of cold-hot-electricity multipotency stream micro-capacitance sensor, remaining symbol Implication is ibid；

Thermal energy balance model is:

H_lh+H+H_EH+H_TO≥H_load+H_TI

Wherein: H_loadFor the total heat energy load of cold-hot-electricity multipotency stream micro-capacitance sensor, remaining symbol implication is ibid；

Cold energy balance model is:

L_lc+L_EC+L_TO≥L_load+L_TI

Wherein: L_loadFor total cold energy load of cold-hot-electricity multipotency stream micro-capacitance sensor, remaining symbol implication is ibid；

(1-7) optimization object function setting up cold-hot-electricity multipotency stream micro-capacitance sensor operation is as follows:

Performance driving economy based on microgrid operator and safety, the optimization aim of multipotency stream microgrid can be described as multipotency The operating cost of stream microgrid entirety minimizes, and i.e. runs the maximization of interests.Optimization aim can be described as follows:

$\min \underset{i}{\Σ}\left(\begin{array}{c}{C}_{Pbuy}\·P_{buy}-C_{Psell}\·P_{sell}+C_{gas}\·F_l+C_{gas}\·F+C_{Ec}\left(P_{char}\right)+C_{Ed}\left(P_{dis}\right)\\ +C_{Hc}\left(H_{TI}\right)+C_{Hd}\left(H_{TO}\right)+C_{Lc}\left(L_{TI}\right)+C_{Ld}\left(L_{TO}\right)-C_{all}\·P_l+C_{tras}{P}_{grid\max }\end{array}\right)$

Wherein: C_PbuyFor cold-hot-electricity multipotency stream micro-capacitance sensor from the electricity price of higher level's electrical network power purchase, C_PsellMany for cold-hot-electricity The electricity price of micro-capacitance sensor superior electrical network sale of electricity, C can be flowed_gasFor Gas Prices, C_EcAnd C_EdIt is respectively cold-hot-electricity multipotency stream micro- The charging expense of electricity energy storage device and electric discharge expense, C in electrical network_HcAnd C_HdIt is respectively heat storage in cold-hot-electricity multipotency stream micro-capacitance sensor The heat accumulation expense of energy equipment and heat release expense, C_LcAnd C_LdIt is respectively the storage of cold energy storage device in cold-hot-electricity multipotency stream micro-capacitance sensor Cold expense and let cool expense, C_allFor the operation subsidy of supply of cooling, heating and electrical powers equipment, C in cold-hot-electricity multipotency stream micro-capacitance sensor_transFor The ore-hosting rock series that cold-hot-electricity multipotency stream micro-capacitance sensor exchanges with higher level's power grid energy；

(2) a stored energy capacitance Optimized model considering that cold-hot-electricity multipotency stream micro-capacitance sensor runs is set up as follows:

min(S_eec·EEC+S_hec·HEC+S_lec·LEC+min(C₀ ^Tx₀+S_trans·P_trans))

Wherein: inner minimization model min (C₀ ^Tx₀+S_trans·P_trans) it is the cold-hot-electricity multipotency stream of above-mentioned steps (1) The optimization object function that micro-capacitance sensor runs, x therein₀Represent except cold-hot-electricity multipotency stream micro-capacitance sensor holds with the exchange of higher level's electrical network Other optimized variables beyond amount, including: supply of cooling, heating and electrical powers air consumption, supply of cooling, heating and electrical powers generated energy, supply of cooling, heating and electrical powers quantity of heat production, Multipotency stream micro-capacitance sensor from higher level's electrical network purchase of electricity, superior electrical network electricity sales amount, heating boiler air consumption, electricity energy storage charge and discharge power, Hot energy storage charge and discharge power, cold energy storage charge and discharge power etc., EEC, HEC and LEC are respectively the electricity storage of cold-hot-electricity multipotency stream micro-capacitance sensor Energy, hot energy storage and the capacity optimized variable of cold energy storage, S_eec, S_hec, S_lecRepresent the electricity storage of cold-hot-electricity multipotency stream micro-capacitance sensor respectively Energy, hot energy storage, the cost (can calculate in units of sky) of cold energy storage unit capacity；

(3) solve the stored energy capacitance Optimized model of above-mentioned steps (2), stored energy capacitance Optimized model is decomposed by solution procedure It is two stages:

First stage, EEC, HEC and LEC are set to definite value, and with the exchange capacity P of higher level's electrical network_transFor optimizing Variable, the expression formula of first stage stored energy capacitance Optimized model is:

$\underset{x_0,P_{trans}}{min}({C_0}^T{x}_0+S_{trans}\·P_{rans})$

When solving second stage, exchange capacity P_transFor setting value, stored energy capacitance is optimized variable, two minimum model One can be merged, the expression formula of second stage stored energy capacitance Optimized model:

$\underset{x_0,EEC,HEC,LEC}{min}(S_{eec}\·EEC+S_{hec}\·HEC+S_{lec}\·LEC+{C_0}^T{x}_0+S_{trans}\·P_{trans})$

(4) use alternative manner, ask above-mentioned steps (3) is decomposed into the stored energy capacitance Optimized model in two stages Solving, process is as follows:

(4-1) the cool and thermal power stored energy capacitance initial value of cold-hot-electricity multipotency stream micro-capacitance sensor is set as S₀；

(4-2) above-mentioned cool and thermal power stored energy capacitance is substituted into above-mentioned first stage stored energy capacitance Optimized model, due to uncertain Property etc. the addition of factor may make model nonlinear, the methods such as subregion demarcation can be used to solve microgrid and to optimize ruuning situation.Meter Calculation obtains first stage optimum results, obtains cool and thermal power multipotency stream micro-capacitance sensor and higher level's electrical network from first stage optimum results Exchange capacity, is designated as P by this exchange capacity_max；

(4-3) by cool and thermal power stored energy capacitance and the exchange capacity P of step (4-2) of above-mentioned steps (4-1)_max, substitute into above-mentioned The Optimized model that the cold-hot of step (1)-electricity multipotency stream micro-capacitance sensor runs, is calculated cold-hot-electricity multipotency stream micro-capacitance sensor and runs Optimized model and energy storage cost overall efficiency, and convert to sky, operation and energy storage cost overall efficiency be designated as Q_A；

(4-4) by the exchange capacity P of above-mentioned steps (4-2)_maxSubstitute into above-mentioned second stage stored energy capacitance Optimized model, with Sample uses the methods such as subregion demarcation that microgrid whole year operation benefit and stored energy capacitance carry out optimization, is calculated second stage excellent Change result, conversion to sky, operation and energy storage cost overall efficiency are designated as Q_B, from second stage optimum results obtain cold-hot- The stored energy capacitance that electricity multipotency stream is micro-, is designated as S by stored energy capacitance；

(4-5) by operation and energy storage cost overall efficiency Q of above-mentioned steps (4-3)_AOperation with above-mentioned steps (4-4) and Energy storage cost overall efficiency Q_BCompare, if | Q_A-Q_B| the span of≤δ, δ is 10^-5-10^-7, then iteration terminates, and will The stored energy capacitance S and exchange capacity P of current iteration_maxThe optimum stored energy capacitance that runs as cold-hot-electricity multipotency stream micro-capacitance sensor and Cold-hot-electricity multipotency stream microgrid and the exchange capacity of higher level's electrical network, the multipotency stream microgrid in current iteration runs and energy storage cost is whole Body benefit Q_AOr Q_BOptimum benefit as cold-hot-electricity multipotency stream microgrid day operation；If | Q_A-Q_B| ＞ δ, then current iteration is obtained The stored energy capacitance S arrived replaces original value, returns step (4-2).

Claims (1)

1. a cool and thermal power multipotency stream micro-capacitance sensor considers the energy storage capacity optimization method run, it is characterised in that the method include with Lower step:

(1) setting up the Optimized model that a cold-hot-electricity multipotency stream micro-capacitance sensor runs, process is as follows:

(1-1) Optimized model that cold-hot in cold-hot-electricity multipotency stream micro-capacitance sensor-CCHP equipment is run is set up:

In cold-hot-CCHP device model, the model of power supply unit is as follows:

P_lmin≤P_l(i)≤P_lmax

-RD_l≤P_l(i+1)-P_l(i)≤RU_l

Wherein: i is the numbering running the period, P_lFor the active power of cold-hot-CCHP equipment, P_lminAnd P_lmaxThe coldest- The upper and lower bound of thermo-electrically joint supply facilities active power, RD_lIt climb ratio of slope for the active power of cold-hot-CCHP equipment, RU_lFor the active power climbing rate downwards of cold-hot-CCHP equipment, RD_lAnd RU_lThe description of product by cold-hot-CCHP equipment Book provides；

In cold-hot-CCHP device model, the model of heat supply/cool equipment is as follows:

H_lmin≤H_l(i)≤H_lmax

-RD_hl≤H_l(i+1)-H_l(i)≤RU_hl

H_l(i)≥H_lh(i)/η_hex+L_lc(i)/η_COP

Wherein: H_lHeat for cold-hot-CCHP equipment is exerted oneself, H_lminAnd H_lmaxThe heat being respectively cold-hot-CCHP equipment is exerted oneself Upper and lower bound, RD_hlThe ratio of slope of climbing exerted oneself for cold-hot-CCHP equipment heat, RU_hlFor cold-hot-CCHP equipment heat The downward climbing rate exerted oneself, RD_hlAnd RU_hlObtain from the product description of cold-hot-CCHP equipment, H_lhFor cold-hot-CCHP The heating power of equipment, L_lcFor the cooling power of cold-hot-CCHP equipment, η_hexConfession hot-cast socket for cold-hot-CCHP equipment Efficiency factor, η_copFor the cooling conversion efficiency factor of cold-hot CCHP equipment, η_hexAnd η_copFrom cold-hot-CCHP equipment Product description obtains；

In cold-hot-CCHP device model, the cold coupled relation of electric heating is:

a_fP_l(i)+b_fH_l(i)=F_l(i)

H_l(i)=c₁P_l(i)+c₂

Wherein: F_lFor the air consumption of cold-hot-CCHP equipment, a_fAnd b_fBe respectively cold-hot-CCHP equipment gas consumption efficiency because of Number, c₁, c₂Exert oneself coupling factor for the electric heating of cold-hot-CCHP equipment, a_f、b_f、c₁And c₂Respectively from cold-hot-CCHP equipment Product description obtain；

(1-2) Optimized model that in cold-hot-electricity multipotency stream micro-capacitance sensor, heating boiler runs is set up as follows:

0≤H(i)≤H_max

-RD_h≤H(i+1)-H(i)≤RU_h

H (i)=η F (i)

Wherein: H is the thermal power of heating boiler, H_maxFor the thermal power upper limit of heating boiler, RD_hUpwards climbing for heating boiler Rate, RU_hFor the downward climbing rate of heating boiler, F is the air consumption of heating boiler, and η is the thermal efficiency factor of heating boiler, H_max、 RD_h、RU_hObtain from the product nameplate of heating boiler with η；

(1-3) Optimized model that in cold-hot-electricity multipotency stream micro-capacitance sensor, energy conversion runs is set up as follows:

0≤P_EH(i)≤P_EHmax

H_EH(i)=η_EHP_EH(i)

0≤P_EC(i)≤P_ECmax

L_EC(i)=η_ECP_EC(i)

Wherein: P_EHElectric heating for energy conversion changes electrical power, P_EHmaxFor in energy conversion electric heating conversion electrical power Limit, H_EHFor the electric heating transition heat output of energy conversion, η_EHFor the electric conversion efficiency factor of energy conversion, P_ECFor the electricity cold conversion electrical power of energy conversion, P_ECmaxFor the electricity cold conversion electrical power upper limit of energy conversion, L_ECFor The electricity cold output of cold conversion of energy conversion, η_ECFor the electricity cold conversion efficiency factor of energy conversion, P_EHmax、η_EH、 P_ECmaxAnd η_ECObtain from the product description of energy conversion；

(1-4) Optimized model that in cold-hot-electricity multipotency stream micro-capacitance sensor, multipotency stream energy storage device runs is set up as follows:

The Optimized model that electricity energy storage device runs is as follows:

0≤P_dis,char(i)≤P_Emax

SoC (i)=SoC (i-1)+η_cP_char(i)-P_dis(i)/η_d

SoC_min≤SoC(i)≤SoC_max

P_dis(i)·P_char(i)=0

Wherein: P_disAnd P_charIt is respectively charge power and discharge power, the P of electricity energy storage device_EmaxMaximum for electricity energy storage device Charge power and maximum discharge power, SoC is the electric energy storage current capacities of electricity energy storage device, SoC_minElectricity for electricity energy storage device Energy storage minimum capacity, SoC_maxFor the electric energy storage heap(ed) capacity of electricity energy storage device, η_cAnd η_dIt is respectively the charging effect of electricity energy storage device Rate factor and discharging efficiency factor, wherein, P_Emax、SoC_min、SoC_max、η_cAnd η_dObtain from the product description of electricity energy storage device Take；

The Optimized model that hot energy storage device runs is as follows:

0≤H_TI,TO(i)≤H_TI,TO,max

HE_T(i)=η_HHE_T(i-1)+η_HIH_TI(i)-H_TO(i)/η_HO

HE_T,min≤HE_T(i)≤HE_T,max

H_TO(i)·H_TI(i)=0

Wherein: H_TIAnd H_TOIt is respectively heat accumulation power and heat release power, the H of hot energy storage device_TI,TO,maxMaximum for hot energy storage device Heat accumulation power and exothermic maximum power, HE_TFor the hot energy storage current capacities of hot energy storage device, HE_T,minHeat for hot energy storage device Energy storage minimum capacity, HE_T,maxFor the hot energy storage heap(ed) capacity of hot energy storage device, η_HIAnd η_HOIt is respectively the heat accumulation of hot energy storage device Efficiency factor and exothermal efficiency factor, η_HFor the thermal dissipation factor of hot energy storage device, wherein, H_TI,TO,max、HE_T,min、HE_T,max、 η_HI、η_HOAnd η_HObtain from the product description of hot energy storage device；

The Optimized model that cold energy storage device runs is as follows:

0≤L_TI,TO(i)≤L_TI,TO,max

LE_T(i)=η_CLE_T(i-1)+η_CIL_TI(i)-L_TO(i)/η_CO

LE_T,min≤LE_T(i)≤LE_T,max

L_TO(i)·L_TI(i)=0

Wherein: L_TIAnd L_TOIt is respectively the cold power of storage of cold energy storage device and lets cool power, L_TI,TO,maxMaximum for cold energy storage device Store up cold power and maximum lets cool power, LE_TFor the cold energy storage current capacities of cold energy storage device, LE_T,minCold for cold energy storage device Energy storage minimum capacity, LE_T,maxFor the cold energy storage heap(ed) capacity of cold energy storage device, η_CIAnd η_COThe storage being respectively cold energy storage device is cold Efficiency factor and let cool efficiency factor, η_CFor the cold energy dissipation factor of cold energy storage device, wherein, L_TI,TO,max、LE_T,min、LE_T,max、 η_CI、η_COAnd η_CObtain from the product description of cold energy storage device；

(1-5) cold-hot-electricity multipotency stream micro-capacitance sensor is set up as follows with the energy exchange model of higher level's electrical network:

0≤P_buy(i)≤P_gridmax

0≤P_sell(i)≤P_gridmax

P_buy(i)·P_sell(i)=0

Wherein: P_buyFor cold-hot-electricity multipotency stream micro-capacitance sensor from the power purchase power of higher level's electrical network, P_sellMicro-for cold-hot-electricity multipotency stream The sale of electricity power of electrical network superior electrical network, P_gridmaxEnergy exchange for cold-hot-between electricity multipotency stream micro-capacitance sensor and higher level's electrical network Peak power；

(1-6) balance model of energy in cold-hot-electricity multipotency stream micro-capacitance sensor is set up as follows:

Electric energy balance model is:

$\underset{j=1}{\overset{m}{\Σ}}{P}_j+P_l+P_{buy}+P_{dis}=E_{load}+P_{sell}+P_{char}+P_{EH}+P_{EC}$

Wherein: P_jFor the active power of regenerative resource in cold-hot-electricity multipotency stream micro-capacitance sensor, m is cold-hot-micro-electricity of electricity multipotency stream The quantity of renewable energy generation, E in net_loadFor total power budget of cold-hot-electricity multipotency stream micro-capacitance sensor, remaining symbol implication Ibid；

Thermal energy balance model is:

H_lh+H+H_EH+H_TO≥H_load+H_TI

Wherein: H_loadFor the total heat energy load of cold-hot-electricity multipotency stream micro-capacitance sensor, remaining symbol implication is ibid；

Cold energy balance model is:

L_lc+L_EC+L_TO≥L_load+L_TI

Wherein: L_loadFor total cold energy load of cold-hot-electricity multipotency stream micro-capacitance sensor, remaining symbol implication is ibid；

(1-7) optimization object function setting up cold-hot-electricity multipotency stream micro-capacitance sensor operation is as follows:

$\min \underset{i}{\Σ}\left(\begin{array}{c}{C}_{Pbuy}\·P_{buy}-C_{Psell}\·P_{sell}+C_{gas}\·F_l+C_{gas}\·F+C_{Ec}\left(P_{char}\right)+C_{Ed}\left(P_{dis}\right)\\ +C_{Hc}\left(H_{TI}\right)+C_{Hd}\left(H_{TO}\right)+C_{Lc}\left(L_{TI}\right)+C_{Ld}\left(L_{TO}\right)-C_{all}\·P_l+C_{tras}{P}_{grid\max }\end{array}\right)$

Wherein: C_PbuyFor cold-hot-electricity multipotency stream micro-capacitance sensor from the electricity price of higher level's electrical network power purchase, C_PsellFor cold-hot-electricity multipotency stream The electricity price of micro-capacitance sensor superior electrical network sale of electricity, C_gasFor Gas Prices, C_EcAnd C_EdIt is respectively cold-hot-electricity multipotency stream micro-capacitance sensor The charging expense of middle electricity energy storage device and electric discharge expense, C_HcAnd C_HdIt is respectively hot energy storage in cold-hot-electricity multipotency stream micro-capacitance sensor to set Standby heat accumulation expense and heat release expense, C_LcAnd C_LdRespectively in cold-hot-electricity multipotency stream micro-capacitance sensor, the storage of cold energy storage device is cold takes With with let cool expense, C_allFor the operation subsidy of supply of cooling, heating and electrical powers equipment, C in cold-hot-electricity multipotency stream micro-capacitance sensor_transFor cold-hot- The ore-hosting rock series that electricity multipotency stream micro-capacitance sensor exchanges with higher level's power grid energy；

(2) a stored energy capacitance Optimized model considering that cold-hot-electricity multipotency stream micro-capacitance sensor runs is set up as follows:

min(S_eec·EEC+S_hec·HEC+S_lec·LEC+min(C₀ ^Tx₀+S_trans·P_trans))

Wherein: inner minimization model min (C₀ ^Tx₀+S_trans·P_trans) it is the cold-hot-micro-electricity of electricity multipotency stream of above-mentioned steps (1) The optimization object function of network operation, x therein₀Represent except cold-hot-electricity multipotency stream micro-capacitance sensor and higher level's electrical network exchange capacity with Other outer optimized variables, including: supply of cooling, heating and electrical powers air consumption, supply of cooling, heating and electrical powers generated energy, supply of cooling, heating and electrical powers quantity of heat production, multipotency Stream micro-capacitance sensor is from higher level's electrical network purchase of electricity, superior electrical network electricity sales amount, heating boiler air consumption, electricity energy storage charge and discharge power, heat storage Energy charge and discharge power, cold energy storage charge and discharge power etc., EEC, HEC and LEC are respectively the cold-hot-electric energy storage of electricity multipotency stream micro-capacitance sensor, heat The capacity optimized variable of energy storage and cold energy storage, S_eec, S_hec, S_lecRepresent the cold-hot-electric energy storage of electricity multipotency stream micro-capacitance sensor, heat respectively Energy storage, the cost of cold energy storage unit capacity；

(3) solve the stored energy capacitance Optimized model of above-mentioned steps (2), stored energy capacitance Optimized model is decomposed into two by solution procedure The individual stage:

First stage, EEC, HEC and LEC are set to definite value, and with the exchange capacity P of higher level's electrical network_transFor optimized variable, The expression formula of first stage stored energy capacitance Optimized model is:

$\underset{x_0,P_{trans}}{min}({C_0}^T{x}_0+S_{trans}\·P_{trans})$

When solving second stage, exchange capacity P_transFor setting value, stored energy capacitance is optimized variable, and second stage stored energy capacitance is excellent The expression formula of change model:

$\underset{x_0,EEC,HEC,LEC}{min}(S_{eec}\·EEC+S_{hec}\·HEC+S_{lec}\·LEC+{C_0}^T{x}_0+S_{trans}\·P_{trans})$

(4) use alternative manner, solve above-mentioned steps (3) is decomposed into the stored energy capacitance Optimized model in two stages, Process is as follows:

(4-1) the cool and thermal power stored energy capacitance initial value of cold-hot-electricity multipotency stream micro-capacitance sensor is set as S₀；

(4-2) above-mentioned cool and thermal power stored energy capacitance is substituted into above-mentioned first stage stored energy capacitance Optimized model, be calculated the first rank Section optimum results, obtains the exchange capacity of cool and thermal power multipotency stream micro-capacitance sensor and higher level's electrical network from first stage optimum results, will This exchange capacity is designated as P_max；

(4-3) by cool and thermal power stored energy capacitance and the exchange capacity P of step (4-2) of above-mentioned steps (4-1)_max, substitute into above-mentioned steps (1) Optimized model that cold-hot-electricity multipotency stream micro-capacitance sensor runs, is calculated the excellent of cold-hot-electricity multipotency stream micro-capacitance sensor operation Change model and energy storage cost overall efficiency, operation and energy storage cost overall efficiency are designated as Q_A；

(4-4) by the exchange capacity P of above-mentioned steps (4-2)_maxSubstitute into above-mentioned second stage stored energy capacitance Optimized model, calculate To second stage optimum results, conversion to sky, operation and energy storage cost overall efficiency are designated as Q_B, from second stage optimum results The stored energy capacitance that middle acquisition cold-hot-electricity multipotency stream is micro-, is designated as S by stored energy capacitance；

(4-5) by operation and energy storage cost overall efficiency Q of above-mentioned steps (4-3)_AOperation with above-mentioned steps (4-4) and energy storage Cost overall efficiency Q_BCompare, if | Q_A-Q_B| the span of≤δ, δ is 10^-5-10^-7, then iteration terminates, and by this The stored energy capacitance S and exchange capacity P of iteration_maxThe optimum stored energy capacitance that runs as cold-hot-electricity multipotency stream micro-capacitance sensor and cold- Thermo-electrically multipotency stream microgrid and the exchange capacity of higher level's electrical network, the multipotency stream microgrid in current iteration runs and energy storage cost is overall Benefit Q_AOr Q_BOptimum benefit as cold-hot-electricity multipotency stream microgrid day operation；If | Q_A-Q_B| ＞ δ, then current iteration is obtained Stored energy capacitance S replace original value, return step (4-2).