CN110263981A - Consider that the gas-of flexible scheduling strategy is electrically coupled integrated energy system planing method - Google Patents

Consider that the gas-of flexible scheduling strategy is electrically coupled integrated energy system planing method Download PDF

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CN110263981A
CN110263981A CN201910460957.7A CN201910460957A CN110263981A CN 110263981 A CN110263981 A CN 110263981A CN 201910460957 A CN201910460957 A CN 201910460957A CN 110263981 A CN110263981 A CN 110263981A
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gas
constraint
electrically coupled
integrated energy
scheduling
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CN110263981B (en
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于浩
吕超贤
王成山
李鹏
赵金利
冀浩然
宋关羽
王旭东
郝爽
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Tianjin University
State Grid Tianjin Electric Power Co Ltd
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State Grid Tianjin Electric Power Co Ltd
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    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/06—Electricity, gas or water supply

Abstract

A kind of gas-considering flexible scheduling strategy is electrically coupled integrated energy system planing method: being electrically coupled integrated energy system structure according to gas-, input gas-is electrically coupled the structure and device parameter of integrated energy system；The gas-for establishing cooling supply typical day and typical day of heating is electrically coupled the operation constraint of integrated energy system equipment；Establish the multi-stage optimization scheduling model towards elasticity operation；Establish the optimizing model based on genetic algorithm；The interaction for optimizing configuration layer multi-stage optimization scheduling model and running optimizatin layer optimizing model solves and exports solving result, including equipment configuration scheme and optimal scheduling plan.The present invention fully considers power driven equipment, the complementary coordinative role of gas driven equipment and the responding ability of energy storage equipment, it establishes and considers that the gas-of flexible scheduling strategy is electrically coupled integrated energy system dual layer resist and designs a model, upper layer uses genetic algorithm evolution optimizing, lower layer calls related mathematics solver to be solved, and obtains programming and planning scheme and optimal scheduling plan.

Description

Consider that the gas-of flexible scheduling strategy is electrically coupled integrated energy system planing method
Technical field
The present invention relates to a kind of integrated energy system planing methods.More particularly to a kind of consideration flexible scheduling strategy Gas-is electrically coupled integrated energy system planing method.
Background technique
Energy and environmental problem has become the common focus of attention in countries in the world, and development and utilization renewable energy improves energy Source utilization efficiency is to realize the inevitable choice of sustainable development, clean energy resource substitution.It includes more that gas-, which is electrically coupled integrated energy system, Kind energy demand, and various forms of energy Depths couplings such as electricity, heat, gas, by the coordinated operation of various energy resources, it can be achieved that energy Source utilization efficiency greatly improves.Under the driving of intrinsic advantage and energy policy, gas-is electrically coupled integrated energy system and obtains It is fast-developing.In this context, formulate can care for take into account system operation reliability and economy planning and designing method it is particularly important.
Traditional planing method spininess plans single autonomous system, different energy sources system independent operating, to the energy The coupled relation between links and multiple-energy-source such as production, conversion, storage considers deficiency, constrains the raising of efficiency of energy utilization, Can not achieve gas-in life cycle management be electrically coupled integrated energy system make rational planning for and economical operation.Therefore, it is necessary to break energy The energy-provision way of source system conventional realizes the integrated planning and synthetic operation of various energy resources system.In addition, gas-is electrically coupled synthesis Energy resource supply failure often occurs for energy resource system, causes the generation of cutting load phenomenon, and the system that seriously affects normally produces, use of living Energy；The scheduling strategy that can adapt to source failure is established, and develops and can satisfy actual motion to source failure adaptability demand Planning and designing method have greater significance.
Currently, the planning and designing for being electrically coupled integrated energy system to gas-are ignored the influence of source supply fault more, are examined Consider the economic planning of cost of investment and operating cost, important load when obtained planning and design scheme is unable to satisfy source failure With energy demand.Therefore, system performance driving economy and the planning and designing method to source failure adaptability can be taken into account by being badly in need of one kind, By reasonably planning and running means, obtain effectively adapting to the system configuration side of source supply fault when actual motion Case.
Summary of the invention
System performance driving economy can be taken into account the technical problem to be solved by the invention is to provide one kind and to source failure The considerations of adaptability, the gas-of flexible scheduling strategy was electrically coupled integrated energy system planing method.
The technical scheme adopted by the invention is that: it is a kind of consider flexible scheduling strategy gas-be electrically coupled integrated energy system Planing method includes the following steps:
1) integrated energy system structure is electrically coupled according to gas-, inputs electricity price, gas price information, it is negative to read typical day Lotus, cold heat load, intensity of illumination predicted value, input meet ratio to optional equipment operating parameter, system call interval, load minimum Example does not meet load rejection penalty, power supply and gas supply interruption duration parameters；
2) gas-provided according to step 1) is electrically coupled the structure and device parameter of integrated energy system, establishes cooling supply typical case Day and the gas-of typical day of heating be electrically coupled the operation constraint of integrated energy system equipment, including earth source heat pump unit for cold operation about Beam, the operation of cold-storage water tank constrain, chiller unit operation constraint, ice-storage system runs constraint, gas turbine operation constrains, Absorption Refrigerator operation constraint, earth source heat pump unit heat supply running constraint, heat storage electric boiler system operation constraint, cold heat/ Electric equilibrium of supply and demand constraint and purchase can upper limit of the power constraints；
3) setting gas-is electrically coupled integrated energy system lower layer running optimizatin, i.e. running optimizatin layer is minimum with operating cost Objective function considers that equipment operation constraint, setting ratio load meet constraint and regenerative apparatus Reserve Constraint, establishes towards elasticity The multi-stage optimization scheduling model of operation；
4) setting gas-is electrically coupled integrated energy system upper layer optimization design to distribute layer rationally minimum with year comprehensive cost Objective function considers device configuration capacity/number of units constraint, establishes the optimizing model based on genetic algorithm；
5) interaction for optimizing configuration layer multi-stage optimization scheduling model and running optimizatin layer optimizing model solves and defeated Solving result out, including equipment configuration scheme and optimal scheduling plan.
Regenerative apparatus Reserve Constraint described in step 3) is as follows:
In formula,For t moment energy storage equipment institute accumulation of energy amount, Wt TS,RFor t moment regenerative apparatus spare capacity；Respectively t moment accumulation of heat/cold water storage cistern, Ice Storage Tank institute accumulation of energy amount,Respectively accumulation of heat/cold water storage cistern, Ice Storage Tank primary power；For cold period, Ω is { WT, IT }, and in heating period, Ω is { WT }；Capacity subscript suffix F, B are respectively represented Next scheduling day and upper scheduling day relevant parameter；NTFor the scheduling interval number in a full schedule period.
Multi-stage optimization scheduling model towards elasticity operation described in step 3), comprising:
(1) the energy storage spare capacity rolling calculation stage: according to system loading, intensity of illumination predictive information in failure domain, choosing The minimum objective function of system regenerative apparatus initial value in each rolling period is taken, considers that equipment operation constraint and setting ratio are negative Lotus meet constraint, generate electricity, gas source end respectively failure when be able to satisfy default ratio workload demand minimum energy storage it is spare Capability value；
The objective function indicates are as follows:
In formula, tSIt is the start periods of rolling optimal dispatching；Respectively tSMoment cold-storage/boiler, Ice Storage Tank spare capacity is being { WT, IT } for cold period Ω, is being { WT } in heating period Ω；Type ∈ { E, G }, is expressed as electricity Power or combustion gas failure；
(2) it economic dispatch stage a few days ago: is predicted according to illumination intensity information, refrigeration duty and electric load in dispatching cycle a few days ago Information and generated energy storage spare capacity value are chosen the minimum objective function of operating cost in a full schedule period, are examined Consider equipment operation constraint and regenerative apparatus Reserve Constraint, generates a few days ago multi-period operation plan of system.
The objective function indicates are as follows:
In formula, NTFor the scheduling interval number in a full schedule period；Respectively t moment power purchase price, purchase gas Price；The gas horsepower of electrical power, gas turbine consumption respectively on t moment system interconnection；Δ t is scheduling Step-length.
Objective function described in step 4) indicates are as follows:
Min F=Cinv+Cope
In formula, CinvIt is used for the annualized capital cost of system equipment, CopeFor system annual operating cost；CCRFRefer to that cost of investment is returned Coefficient is received, r indicates discount rate, and y indicates that system planning runs the time limit；NTFor the scheduling interval number in a full schedule period； Indicate the initial outlay expense of equipment i；NSFor typical scene number；psFor the probability of the S typical scene；Δ t is scheduling step It is long.
The gas-of consideration flexible scheduling strategy of the invention is electrically coupled integrated energy system planing method, based on solution gas- It is electrically coupled the planning problem of integrated energy system, fully considers the complementary coordinative role of power driven equipment, gas driven equipment With the responding ability of energy storage equipment, establishes and consider that the gas-of flexible scheduling strategy is electrically coupled the design of integrated energy system dual layer resist Model, upper layer use genetic algorithm evolution optimizing, and lower layer calls related mathematics solver to be solved, obtains programming and planning Scheme and optimal scheduling plan.
Detailed description of the invention
Fig. 1 is that the present invention considers that the gas-of flexible scheduling strategy is electrically coupled the flow chart of integrated energy system planing method；
Fig. 2 is that gas-is electrically coupled integrated energy system energy supply structure chart；
Fig. 3 is to distribute a layer calculation flow chart rationally；
Fig. 4 is running optimizatin layer calculation flow chart；
Fig. 5 a is typical day system marginal capacity figure under the programme for not considering flexible scheduling strategy；
Fig. 5 b is typical day system marginal capacity figure under the programme for considering flexible scheduling strategy.
Specific embodiment
Integrated energy system is electrically coupled below with reference to gas-of the embodiment and attached drawing to consideration flexible scheduling strategy of the invention Planing method is described in detail.
The gas-of consideration flexible scheduling strategy of the invention is electrically coupled integrated energy system planing method, is for gas-thermocouple The planning problem for closing integrated energy system, comprehensively considers a variety of constraint conditions, passes through mathematical optimization models and flexible scheduling model Coupling calculate, finally develop planning design scheme.
As shown in Figure 1, the gas-of consideration flexible scheduling strategy of the invention is electrically coupled integrated energy system planing method, packet Include following steps:
1) integrated energy system structure is electrically coupled according to gas-, inputs electricity price, gas price information, it is negative to read typical day Lotus, cold heat load, intensity of illumination predicted value, input meet ratio to optional equipment operating parameter, system call interval, load minimum Example does not meet load rejection penalty, power supply and gas supply interruption duration parameters；
2) gas-provided according to step 1) is electrically coupled the structure and device parameter of integrated energy system, establishes cooling supply typical case Day and the gas-of typical day of heating be electrically coupled the operation constraint of integrated energy system equipment, including earth source heat pump unit for cold operation about Beam, the operation of cold-storage water tank constrain, chiller unit operation constraint, ice-storage system runs constraint, gas turbine operation constrains, Absorption Refrigerator operation constraint, earth source heat pump unit heat supply running constraint, heat storage electric boiler system operation constraint, cold heat/ Electric equilibrium of supply and demand constraint and purchase can upper limit of the power constraints；Wherein.
(1) the earth source heat pump unit described in is for cold operation constraint representation
In formula,Respectively i-th earth source heat pump cooling supply of t moment, cold-storage power；Point It Wei not the i-th tableland of t moment source heat pump refrigerating, cold-storage operational mode；The respectively minimum of heat pump main frame, maximum system Cold power；Respectively t moment ground-source heat pump system cooling supply, cold-storage operational mode；ΩHPFor ground-source heat pump host Set；NHPFor ground-source heat pump host number；For t moment heat pump unit power consumption；For i-th heat pump performance Coefficient (COP), PHP,CWPAnd PHP,CPThe respectively specified electric power of heat pump main frame interlocking chilled water pump and cooling water pump, PWT ,CWP,1And PWT,CWP,2Respectively cold-storage when interlocking let cool circulating pump and charge cycle pump specified electric power.
(2) the cold-storage water tank described in runs constraint representation
In formula,For t moment cold-storage water tank cooling supply power；For the separate unit chilled water pump refrigeration work consumption upper limit； NWT,CWPFor cold-storage water tank chilled water pump number；Operational mode is let cool for i-th cold-storage water tank water pump of t moment；Cooling capacity is stored for t moment cold-storage water tank, separate unit cold-storage water tank stores the cooling capacity upper limit；NWTFor cold-storage water tank number； εWTRate is let cool certainly for cold-storage water tank；Δ t is scheduling step-length；For the power consumption of cold-storage water tank；For t moment cold-storage water tank Let cool operational mode.
(3) chiller unit described in runs constraint representation
In formula,For t moment i-th conventional cold water main unit refrigeration work consumption；For t moment i-th conventional cold water master Machine cooling mode；NWCFor conventional cold water main unit number；The respectively upper and lower limit of its refrigeration work consumption；ΩWCFor routine The set of cold water main unit；For t moment chiller unit power consumption；For the conventional cold water main unit coefficient of performance； PWC,CWP、PWC,CPAnd PWC,CTThe specified use of respectively conventional cold water main unit interlocking chilled water pump, cooling water pump and open cooling tower Electrical power.
(4) ice-storage system described in runs constraint representation
In formula,For t moment ice-storage system, Ice Storage Tank refrigeration work consumption；Respectively t moment I-th Double-working-condition host refrigeration, ice making power；For the upper and lower limit of Double-working-condition host refrigeration work consumption；The upper and lower limit of power is made ice for it；For t moment i-th Double-working-condition host refrigeration, ice making operation Mode；For t moment Double-working-condition unit refrigeration, ice making operation mode；For i-th ice storage system of t moment System chilled water pump operational mode；NIS,CWPFor ice-storage system chilled water pump number；Cooling capacity is stored for t moment Ice Storage Tank；W IT、The upper and lower limit of cooling capacity is stored for Ice Storage Tank；εITRate is let cool certainly for Ice Storage Tank；The upper limit of the power is let cool for Ice Storage Tank；For the separate unit chilled water pump refrigeration work consumption upper limit；ΩDCFor the set of Double-working-condition host；For t moment ice-storage system Power consumption；COPi DC,C、COPi DC,IRespectively Double-working-condition host refrigeration, the ice making coefficient of performance, PEP、PDC,CP、PDC,CT、PIS,CWP The respectively specified electric power of ethylene glycol solution pump, cooling water pump, open cooling tower, chilled water pump.
(5) the gas turbine operation constraint representation described in is
In formula,Indicate that t moment gas turbine consumes gas horsepower；WithIndicate t moment gas turbine power generation Power and heat production power；ηGTFor generating efficiency；αGTFor gas turbine thermoelectricity ratio, PGT,RFor gas turbine rated generation power.
(6) Absorption Refrigerator described in runs constraint representation
In formula,Indicate absorption refrigerating equipment refrigeration work consumption,Indicate that Absorption Refrigerator consumes thermal power, COPACIndicate the Absorption Refrigerator coefficient of performance, i.e., cold and hot ratio, QAC,RFor absorption refrigeration equipment rated capacity.
(7) the earth source heat pump unit heat supply running constraint representation described in is
In formula,For the i-th tableland of t moment source heat pump heat supply power；For the i-th tableland of t moment source heat pump heat supply Operation
Mode；For i-th heat pump heat supply coefficient of performance.
(8) the heat storage electric boiler system described in runs constraint representation
In formula,For t moment heat storage electric boiler system heating power；Respectively electric boiler and Hot water storage tank heating power；Power is energized for i-th electric boiler of t moment,For electric boiler unit Heat supply, supplying hot water, accumulation of heat power,The upper limit of the power is energized for i-th electric boiler；It energizes and indicates for hot water storage tank, For the start and stop state of i-th electric boiler of t moment；It energizes and indicates for electric boiler unit；ΩBFor the set of electric boiler；For T moment hot water storage tank entirety amount of stored heat, εWTFor hot water storage tank specific heat rejection；Respectively hot water storage tank supplies Heat, heat supply water power； W WTFor water tank heat storage amount upper and lower limit；The upper limit of hot water storage tank monomer energy supply power；NWT For hot water storage tank number of units；Domestic hot-water's circulating pump starts number of units；Separate unit domestic hot-water's circulating pump maximum supplying hot water Power, NDWP,MAXIndicate the available number of units of domestic hot-water's circulating pump, PDWP,RFor its specified power consumption；For single air conditioner Heat-exchanger pump maximum heating load,The volume of plate heat exchanger two sides air conditioning hot circulating pump, watering cycle pump respectively Determine power consumption；PB,WPFor the specified power consumption of the chain water circulating pump of electric boiler；Respectively electric boiler Unit, domestic hot-water's circulating pump and the chain pump power consumption of air conditioning hot.
(9) cold heat/electricity equilibrium of supply and demand constraint representation described in is
In formula,For t moment cooling load of the air-conditioning system,For t moment system heat load,For t moment system electric load,To be respectively t moment photovoltaic system output power, dominant eigenvalues.
(10) the purchase energy upper limit of the power constraint representation described in is
In formula,For interconnection maximum allowable power value, PGT,maxFor maximum allowable purchase gas performance number.
3) setting gas-is electrically coupled integrated energy system lower layer running optimizatin, i.e. running optimizatin layer is minimum with operating cost Objective function considers that equipment operation constraint, setting ratio load meet constraint and regenerative apparatus Reserve Constraint, establishes towards elasticity The multi-stage optimization scheduling model of operation；Wherein,
The setting gas-is electrically coupled integrated energy system lower layer running optimizatin (running optimizatin layer) with operating cost minimum For objective function, it is expressed as
In formula, NTFor the scheduling interval number in a full schedule period,Indicate t moment power purchase price,Indicate t moment Purchase gas price lattice.
The multi-stage optimization scheduling model towards elasticity operation, indicates are as follows:
(1) the energy storage spare capacity rolling calculation stage: according to the predictive information such as system loading, intensity of illumination in failure domain, The minimum objective function of system regenerative apparatus initial value in each rolling period is chosen, considers equipment operation constraint and important load Meet constraint, generate electricity, gas source end respectively failure when be able to satisfy the minimum energy storage spare capacity value of system important load demand.
The energy storage spare capacity rolling calculation stage is with the minimum target of system regenerative apparatus initial value in each rolling time horizon Function indicates are as follows:
In formula, tSIt is the start periods of rolling optimal dispatching,Respectively tSMoment cold-storage/boiler, Ice Storage Tank spare capacity.Wherein type ∈ { E, G } is expressed as power failure, combustion gas failure.For cold period, Ω be WT, IT}；In heating period, Ω is { WT }.
When power failure, failure period dominant eigenvalues are zero；When combustion gas failure, failure period gas horsepower is zero, is seen Following formula:
In formula,Respectively power failure, combustion gas trouble duration.
At this point, important load meets constraint are as follows:
In formula, RC、RC、REIt respectively indicates refrigeration duty, thermic load and electric load minimum and meets ratio.
The compact form of energy storage spare capacity rolling calculation is writeable are as follows:
Then to each time of running, minimum energy storage spare capacity value can be acquired:
In formulaRespectively tSRequired energy storage spare capacity under moment power failure, combustion gas failure.
(2) it economic dispatch stage a few days ago: is predicted according to illumination intensity information, refrigeration duty and electric load in dispatching cycle a few days ago Information and generated energy storage standby message choose the minimum objective function of systematic running cost in a full schedule period, Consider equipment operation constraint and regenerative apparatus Reserve Constraint, generates a few days ago multi-period operation plan of system.
The minimum optimization object function of economic dispatch stage operating cost a few days ago is shown in formula (52).
Scheduling should fully consider energy storage spare capacity, storage energy initial value and end moment value to traffic control a few days ago It influences, therefore increases regenerative apparatus operation constraint:
In formula,For t moment energy storage equipment institute accumulation of energy amount, Wt TS,RFor t moment regenerative apparatus spare capacity,Respectively accumulation of heat/cold water storage cistern, Ice Storage Tank primary power, capacity subscript suffix F, B respectively represent next scheduling Day and upper scheduling day relevant parameter.For cold period, Ω is { WT, IT }；In heating period, Ω is { WT }.
The compact form of economic load dispatching is writeable a few days ago are as follows:
4) setting gas-is electrically coupled integrated energy system upper layer optimization design to distribute layer rationally minimum with year comprehensive cost Objective function considers device configuration capacity/number of units constraint, establishes the optimizing model based on genetic algorithm；
The objective function indicates are as follows:
Min F=Cinv+Cope (66)
In formula, CinvIt is used for the annualized capital cost of system equipment, CopeFor system annual operating cost；CCRFRefer to that cost of investment is returned Coefficient is received, r indicates discount rate, and y indicates that system planning runs the time limit；NTFor the scheduling interval number in a full schedule period；Indicate the initial outlay expense of equipment i；NSFor typical scene number；psFor the probability of the S typical scene；Δ t is scheduling Step-length.
The device configuration capacity/number of units constraint, indicates are as follows:
0≤Qi,R≤Qi,R,MAX,i∈{HP,WC,DC,B,WT} (70)
0≤Ni≤Ni,MAX,i∈{CHP,AC,IT} (71)
In formula, Qi,R,MAXFor continuous type equipment i maximum installed capacity, Ni,MAXNumber of units is installed for discrete type equipment i maximum, HP, WC, DC, B, WT respectively represent earth source heat pump, conventional cold water main unit, Double-working-condition host, electric boiler and cold heat water tank, CHP, AC, IT respectively indicate gas turbine, Absorption Refrigerator and Ice Storage Tank.
The optimizing model based on genetic algorithm, comprising:
(1) initial data and the setting of genetic algorithm relevant parameter.The physics operation of powering device, capital cost in reading system With, installation number of units/capacity up and down limit etc. parameters；Set genetic algorithm relevant parameter, including maximum genetic algebra, individual of per generation Number, selection, intersection, aberration rate etc.；
(2) initial population P is generated according to the system of input and genetic algorithm relevant parameter；
(3) lower layer's Optimal Operation Model is called, calculates the corresponding target function value of each individual in population, and according to selected Pressure difference (selected pressure, SP), fitness and the sequence of each individual are calculated using linear ordering method.At this point, target The corresponding fitness of function maximum individual (the worst individual) is 0, and the individual of objective function minimum (optimum individual) is corresponding suitable Response is selected pressure difference；
(4) it is selected to obtain mating population P from current population (parent) P2, to mating population P2Intersected and is become Different genetic manipulation obtains new population (filial generation) P3；
(5) to new population P3Each of individual call lower layer's Optimal Operation Model, carry out target value calculating, calculate adapt to It spends and sorts.
(6) individual of parent population is replaced to be inserted operation again with new population according to ranking results, i.e., according to elite principle From population { P ∪ P3In select individual, retain parent in it is more excellent individual and be genetic to P in next-generation population；
(7) when genetic algorithm maximum evolution number reaches the setting upper limit, then termination of evolving；And last generation population is called Lower layer's optimal operation model calculates allocation optimum and operating scheme.
5) interaction for optimizing configuration layer multi-stage optimization scheduling model and running optimizatin layer optimizing model solves and defeated Solving result out, including equipment configuration scheme and optimal scheduling plan.
The gas-of consideration flexible scheduling strategy of the invention is electrically coupled integrated energy system planing method, complementary based on pneumoelectric The spare responding ability of thought and energy storage device is run, and passes through upper layer genetic algorithm and lower layer's multistage flexible scheduling strategy Iteration optimizing obtains system design scheme and typical day optimal scheduling scheme.
For the present embodiment, electricity price, gas price information are inputted, the typical day electric load of reading, cold heat load, illumination are strong Angle value inputs to optional equipment operating parameter, system call interval, important load ratio, does not meet load rejection penalty, electric power confession The initial value of the variables such as duration or parameter should be interrupted with gas supply.In this system, electric power is met by external electrical network and photovoltaic system Demand；It concentrates energy source station to generate air conditioner cold water by energy supply pipeline to each building, cooling supply need is met by fan coil It asks.System energizes structure as shown in Fig. 2, equipment detail parameters are shown in Table 1.1h is divided between system call；1.35 yuan of electricity price when peak/ KWh (8:00-11:00,18:00-23:00), 0.47 yuan/kWh of electricity price (00:00-7:00,23:00-00:00) when paddy, it is usually electric 0.89 yuan/kWh of valence (7:00-8:00,11:00-18:00)；0.4 yuan/kWh of gas price；When electric power, gas supply interrupt lasting Between be taken as 2 hours/time, 4 hours/time respectively；It is important electricity, cold heat load account for respectively practical electric power, cold heat demand 70%, 80%；Electric load is not met, cold heat load rejection penalty is respectively 100 yuan/kWh, 60 yuan/kWh.Distribute layer and operation rationally Optimization layer calculation flow chart is shown in Fig. 3, Fig. 4.
Consider that the systems organization of flexible scheduling strategy the results are shown in Table 2.The higher cooling supply of load level, heat typical day accumulation of energy Device storage energy and the relationship of spare energy are shown in Table 3, table 4.Whether the programme of flexible scheduling strategy under typical day is considered System reserve ability is shown in Fig. 5.Load restoration situation is shown in Table 5 when power failure occurs for the higher cooling supply of load level typical day.
Executing the computer hardware environment that optimization calculates is Intel (R) Xeon (R) CPU E5-2603, and dominant frequency is 1.60GHz inside saves as 8GB；Software environment is 10 operating system of Windows.
It can be seen from Table 2 that play the economic sexual clorminance of the ability of gas, electric mutual backup and complementary collaboration, system It is equipped with power driven equipment and gas driven equipment simultaneously, simultaneity factor is equipped with multiple energy storage equipments, including Ice Storage Tank, storage Hot/cold water tank can enhance the adaptability of system reply source catastrophic failure by the spare mode of regenerative apparatus energy.Table 3, table 4 as can be seen that spare appearance when actual motion, needed for the total accumulation of energy amount of regenerative apparatus is all larger than this moment in the operation plan of generation Amount, the generation that there is the system that ensure that preferable elastic service ability to go reply source failure.From Fig. 5 and table 5 as can be seen that phase To the planning and designing method for not considering flexible scheduling strategy, after considering flexible scheduling strategy, gained allocation plan has preferable The marginal capacity for coping with source failure, by the combination with flexible scheduling strategy, it can be achieved that important load when gas, power supply failure Reliable supply.
1 system of table waits for optional equipment operating parameter
Table 2 considers the configuration scheme of elastic operation reserve
Table 3 is for cold period typical day regenerative apparatus storage energy and minimum spare capacity
The typical day regenerative apparatus storage energy of 4 heating period of table and minimum spare capacity
Load restoration situation when 5 power breakdown of table

Claims (4)

1. a kind of gas-for considering flexible scheduling strategy is electrically coupled integrated energy system planing method, which is characterized in that including as follows Step:
1) integrated energy system structure is electrically coupled according to gas-, inputs electricity price, gas price information, read typical day electric load, Cold heat load, intensity of illumination predicted value, input to optional equipment operating parameter, system call interval, load minimum meet ratio, Do not meet load rejection penalty, power supply and gas supply and interrupts duration parameters；
2) gas-provided according to step 1) is electrically coupled the structure and device parameter of integrated energy system, establish cooling supply typical day and The gas-of heating typical day is electrically coupled the operation constraint of integrated energy system equipment, including earth source heat pump unit is constrained for cold operation, storage Cold water storage cistern operation constraint, ice-storage system operation constraint, gas turbine operation constraint, absorbs chiller unit operation constraint The constraint of formula refrigerator operation, the constraint of earth source heat pump unit heat supply running, heat storage electric boiler system operation constraint, cold heat/electricity supply Need Constraints of Equilibrium and purchase can upper limit of the power constraint；
3) setting gas-is electrically coupled integrated energy system lower layer running optimizatin, i.e., running optimizatin layer is with the minimum target of operating cost Function considers that equipment operation constraint, setting ratio load meet constraint and regenerative apparatus Reserve Constraint, establishes and run towards elasticity Multi-stage optimization scheduling model；
4) setting gas-is electrically coupled integrated energy system upper layer optimization design and distributes layer rationally with the minimum target of year comprehensive cost Function considers device configuration capacity/number of units constraint, establishes the optimizing model based on genetic algorithm；
5) interaction for optimizing configuration layer multi-stage optimization scheduling model and running optimizatin layer optimizing model, which is solved and exported, to be asked Solution is as a result, include equipment configuration scheme and optimal scheduling plan.
2. the gas-according to claim 1 for considering flexible scheduling strategy is electrically coupled integrated energy system planing method, special Sign is that regenerative apparatus Reserve Constraint described in step 3) is as follows:
In formula,For t moment energy storage equipment institute accumulation of energy amount,For t moment regenerative apparatus spare capacity； Respectively t moment accumulation of heat/cold water storage cistern, Ice Storage Tank institute accumulation of energy amount,Respectively accumulation of heat/cold water storage cistern, Ice Storage Tank are initial Energy；For cold period, Ω is { WT, IT }, and in heating period, Ω is { WT }；Capacity subscript suffix F, B respectively represent next scheduling Day and upper scheduling day relevant parameter；NTFor the scheduling interval number in a full schedule period.
3. the gas-according to claim 1 for considering flexible scheduling strategy is electrically coupled integrated energy system planing method, special Sign is, towards the elastic multi-stage optimization scheduling model run described in step 3), comprising:
(1) it the energy storage spare capacity rolling calculation stage: according to system loading, intensity of illumination predictive information in failure domain, chooses every The minimum objective function of system regenerative apparatus initial value in a rolling period considers that equipment operation constraint and setting ratio load are full Foot constraint, generate electricity, gas source end respectively failure when be able to satisfy the minimum energy storage spare capacity of default ratio workload demand Value；
The objective function indicates are as follows:
In formula, tSIt is the start periods of rolling optimal dispatching；Respectively tSMoment cold-storage/boiler, Ice Storage Tank Spare capacity is being { WT, IT } for cold period Ω, is being { WT } in heating period Ω；Type ∈ { E, G }, is expressed as electric power or combustion Gas failure；
(2) economic dispatch stage a few days ago: according to illumination intensity information, refrigeration duty and electric load predictive information in dispatching cycle a few days ago With generated energy storage spare capacity value, the minimum objective function of operating cost in a full schedule period is chosen, considers to set The constraint of received shipment row and regenerative apparatus Reserve Constraint generate a few days ago multi-period operation plan of system.
The objective function indicates are as follows:
In formula, NTFor the scheduling interval number in a full schedule period；Respectively t moment power purchase price, purchase gas price lattice；The gas horsepower of electrical power, gas turbine consumption respectively on t moment system interconnection；Δ t is scheduling step It is long.
4. the gas-according to claim 1 for considering flexible scheduling strategy is electrically coupled integrated energy system planing method, special Sign is that objective function described in step 4) indicates are as follows:
Min F=Cinv+Cope
In formula, CinvIt is used for the annualized capital cost of system equipment, CopeFor system annual operating cost；CCRFRefer to cost of investment recycling system Number, r indicate discount rate, and y indicates that system planning runs the time limit；NTFor the scheduling interval number in a full schedule period；It indicates The initial outlay expense of equipment i；NSFor typical scene number；psFor the probability of the S typical scene；Δ t is scheduling step-length.
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