CN109784569A - A kind of regional complex energy resource system optimal control method - Google Patents
A kind of regional complex energy resource system optimal control method Download PDFInfo
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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Abstract
The invention discloses a kind of regional complex energy resource system optimal control methods, include the following steps: S1, regional complex energy resource system optimal control objective function；It realizes minimum regional complex energy resource system overall running cost, reliability and system emission reduction rate supreme good, objective function is divided into three operating cost model, Environmental costs model and system reliability model modules；Including S11, objective function of the building based on operating cost model；S12, objective function of the building based on Environmental costs model；S13, objective function of the building based on system reliability model；S2, regional complex energy resource system optimal control constraint condition is analyzed；Including S21, energy balance about beam analysis；S22, energy balance about beam analysis；S23, system operation constraint.This control method aims at minimum system overall running cost, reliability and system emission reduction rate highest.
Description
Technical field
The present invention relates to comprehensive utilization of energy technical fields, and in particular to a kind of regional complex energy resource system optimal control side
Method.
Background technique
The energy is the material base of human survival and the prerequisite of social development and civilization and progress.However, society is raw
The great-leap-forward development of force of labor results in steeply rising for energy demand.Traditional fossil energy be faced with it is serious it is excessive exploitation and it is several
Nearly exhausted problem.Traditional energy utilization system needs to be transformed and upgrade.Therefore, fully optimized and the utilization energy, thermal energy, day
Right gas and other energy, establishing RIES will be the important channel improved energy efficiency and realize sustainable energy development.RIES is excellent
The main target for changing scheduling and operation is the whole efficiency of raising, improves operational reliability, reduces energy cost and reduce system dirt
Contaminate object discharge.
In the research of energy resource system coupling and complementing, document " region class integrated energy system multipotency couple optimizing research " from
Functional module, subsystem and the regional complex energy resource system of three levels establish model, further investigate various energy utilization technologies
And the coupling optimization process of hot and cold, electric various energy resources form." Regional Energy typical scenario of providing multiple forms of energy to complement each other is designed and is ground document
Study carefully " a kind of new Regional Energy internet operating mechanism is proposed based on domestic outer energy internet and multi-energy complementation.In view of comprehensive
The characteristics of closing multipotency source flow in energy resource system, " the integrated energy system layered distribution type towards power grid peak clipping coordinates control to document
Method processed " a kind of layered distribution type control method for coordinating is proposed to coordinate the direct turning resource and user demand response in campus
Resource, to execute comprehensive peak clipping.Document " regional complex energy resource system multiagent non-fully the double-deck game strategies under information "
It is proposed the multi-threaded double-deck game interaction strategy being made of energy supplier, network for distributed sales and user.
In the foundation and solution of energy networks equation, document " Research on the Constructionof
Energy Network Based on Modular Energy Service Industry " propose a kind of natural gas and electric power
Combine the method for conveying, such natural gas transportation and power Transmission can carry out " in the same way ".Based on smart grid skill
Art, document " the lower provincial power network wind-electricity integration of Thermal Synthetic electric load control is studied " propose jointly controlling for a kind of thermoelectricity and wind energy
Method, simulation result show that this method can help wind turbine to increase its grid connection capacity.Document " Optimization of
the combined supercritical CO2,cycle and organic Rankine cycle using
Zeotropic mixtures for gas turbine waste heat recovery " propose system multiple kinds of energy management
Operational mode.
In the research of integrated energy system energy efficiency assessment model, it is concentrated mainly on power plant energy efficiency evaluation and system energy
Imitate analysis of Influential Factors.Document " Research on characteristics and operation optimization of
Water intake system of absorption refrigeration unit " analysis lithium bromide absorption refrigerating set
Energy Efficiency Standard, energy efficiency evaluation parameter, efficiency be horizontal and the scope of application of Evaluation on Energy Saving value.Document " Wind turbines efficiency evaluation
With diagnosis research " propose the wind turbine performance efficiency analytical framework based on energy stream, to realize to the comprehensive of performance efficiency
Assessment.
Document " trough type solar heat-collector and the analog study of gas fired-boiler combined heating system " propose it is a kind of novel plus
Hot systems, wherein groove type solar collector is connected with gas fired-boiler.Document " New district heating system
Based on natural gas-fired boilers with absorption heat exchangers " propose one kind
Gas fired-boiler, the boiler are combined with absorption heat transfer, are used for district heating, and prove, which can make full use of low-grade
Heat source.Document " High efficiency cogeneration:CHP and non-CHP energy " compares cogeneration of heat and power electricity
It stands and the parameter in non-thermal electromagnetic coproduction power station, and assesses the efficiency of co-generation unit.Document " Measurement and
Classification ofenergy efficiency in HVACsystems " comprehensively consider region, operating status and technology
The factors such as level, and propose several common parameters.The optimal control policy of multipotency amount RIES is one of the major issue of research.
Reasonable prioritization scheme can cut operating costs, and give full play to the advantage of RIES.Document " considers polluted gas row
The cogeneration type micro-capacitance sensor multiple target running optimizatin put ", " Optimization of support vector machine
power load forecasting model based on data mining and Lyapunov exponents》、
《Power load forecasting using support vector machine and ant colony
Optimization " research CHP system optimization problem.Document " Design Optimization and Dynamic
Performance Analysis of a Stand-Alone Hybrid Wind–Diesel Electrical Power
Generation System " influence of the operation characteristic of diesel-driven generator, fan and accumulator to system cost of electricity-generating is studied,
And propose wind-diesel oil combined power system method for optimally controlling.Document " Isolated microgrid economic
Operation model based on sequence operation theory ", " meter and risk Reserve Constraint isolated network system
Unite environmental protection and economy scheduling ", the micro-capacitance sensor combined heat and power of wind-powered electricity generation randomness " consider scheduling " analysis wind energy and luminous energy output it is random
Property, the method for proposition can reduce the negative effect of new energy fluctuation, optimize the operation cost of RIES.Based on DR, document
《Comprehensive real-time microgrid powermanagement and control with
Distributed agents " propose load transition solution strategy, to improve the matching of new energy output and load.Document
《Energy management system as a meanfor the integration of distributed energy
Sources with low voltagenetwork " propose the energy management optimization algorithm of controllable DG, to improve the warp of micro-capacitance sensor
Ji and environment friendly.
Under the promotion of expert, scholar and policy support, the multi-source that China develops RIES coordinates and optimization system.As north
There have been many projects for showing powerful vitality in city as capital and Shanghai, these projects have technical advantage and warp
Help benefit " A smart home energymanagement system using IoT and big data analytics
approach》、《Effect of control strategy on performance and emissions of natural
gas engine for cogeneration system".Coordinated by the multi-source of governmental leading official and optimization system is also carrying out
Pilot work, with online technique parameter and real time data " the Information Management for of the dynamic monitoring energy
Decentralized Energy Storages under Market Uncertainties》、《An energy
efficiency solution for WBAN in healthcare monitoring system》、《Design and
Implementation of an Energy Monitoring System for Buildings Based on Internet
of Things Architecture".Currently, the research about multiple-energy-source RIES is seldom, but about electric system and other
The research of the energy management of industry completes " System and method for integrated in multiple countries
management of terminal information in IPv6environment》、《An Integrated
Management System for Occupational Health and Safety and Environment in an
Operating Nuclear Power Plant in East China and Its Management Information
System".These are based primarily upon energy information, demand response, business administration and net about the research of energy resource system integrated management
" the provincial power network wind-electricity integration under the control of Thermal Synthetic electric load studies Analysis of energy performance and to network
buildings characteristics obtained from Croatian energy management
information system》。
In the studies above, the research of RIES is concentrated mainly on energy network equation, simulation optimization, energy efficiency evaluation and implementation
In the popularization of mode.At the same time, some RIES projects have been carried out, and achieve some achievements.However, with electricity market
Reform is goed deep into, and influence of the market factor to RIES is gradually increased, it is clear that how the case where not causing a large amount of pollutant emissions
The lower economical operation for realizing RIES, has become the key of research RIES.However, since RIES designs and optimizes the method for operation
There is still a need for improvement, existing research achievements, and the set goal has not been reached yet for system.
Regional complex energy resource system is a kind of novel regional complex energy resource system.In integrated energy system, natural gas,
The energy such as electric energy, thermal energy are combined together by the management mode of advanced physical message technology and innovation, realize different energy
Coordinated planning, optimization operation, coordinated management and complementation between the subsystem of source.In addition, meeting system diversification energy demand
While, comprehensive energy technology can effectively improve energy efficiency, promote the sustainable development of the energy.
Integrated energy system includes electric power, natural gas, solar energy, wind energy, waste heat and the other kinds of energy, it is combined
These different resources and advanced technology are provided with higher total system efficiency for user hot and cold and electric.In practical application
In, integrated energy system is considered as a unified energy resource system, each process interaction in system, to construct system
Unique function.Moreover, various resources all have passed through identical process in this comprehensive energy consumption system, " exploitation-conversion-biography
Defeated-storage-consumption ".
Fig. 1 is the typical structure of regional complex energy resource system.As shown in Figure 1, in integrated energy system, Primary Actor
It is user, energy service provider and energy supply company.User is one of the key element in integrated energy system, they have
There are diversified feature, including factory, school, hospital, building etc..Formula generator, they can be to energy network or other use
Sell extra electric power in family.Energy service provider they be not only energy demand person and energy supplier.Because wherein one
A little users have been mounted with that distribution is also one of the important participant of RIES.Their main business includes communication service, system
Operation, plant maintenance and energy management service.Energy services are the key links of comprehensive energy business.Comprehensive energy service provides
Interaction and fusion between user and exterior market may be implemented in quotient.They provide energy services mainly include energy management,
Information consultation and party in request's management.
Time scale, scheduling original of each energy subsystem such as electricity/gas/heat in actual motion scheduling in integrated energy system
Then differ greatly, carries out simulation analysis under degree, unified dispatching principle when same and the difficulty of coordinated control is larger；Together
When, all kinds of randomnesss with energy load and renewable energy power output of user side optimize integrated energy system management and running
It is a no small challenge, is the critical issue realizing each submodule unification of integrated energy system, coordinated scheduling and must be taken into consideration.
Summary of the invention
Object of the present invention is in view of the above-mentioned problems, providing a kind of regional complex energy resource system optimal control method.It establishes
One RIES model including power generation, heat supply and refrigeration system.In the system model of foundation, optimal operation model is established,
It can be used for studying the economic operation strategy of RIES, it is intended to realize minimum system overall running cost, reliability and system emission reduction rate most
It is high.
Unlike existing research in the discussion and analysis to result, we, which also analyze, influences RIES operation and ring
The sensibility of the factor of border cost.
To achieve the goals above, the technical scheme is that
A kind of regional complex energy resource system optimal control method, includes the following steps:
S1, building regional complex energy resource system optimal control objective function
It, will to realize minimum regional complex energy resource system overall running cost, reliability and system emission reduction rate supreme good
Objective function is divided into three operating cost model, Environmental costs model and system reliability model modules；
S11, objective function of the building based on operating cost model
The target of regional complex energy resource system economic load dispatching is to make energy cost minimization；Economic operation cost is mainly by day
The transaction cost composition of right gas, electric energy and thermal energy；It in addition to this, further include the operating cost of system itself；It determines based on operation
The objective function of cost model is as follows
F1=minCop=Cop-E+Cop-H+Cop-NG (23)
Cop-H=CHB_grid+ah_stPh_st(t) (25)
C in formulaop--- operation cost (member)；Cop-E--- the operating cost (member) of electric energy supply module；Ci--- distribution
The operation cost (member/kW) of formula power generation；Pi--- the output power (kW) of distributed power generation；γele-dr--- demand response electricity price
(member/kWh)；γele--- fixed electricity price (member/kWh)；PEB_grid(t) --- the exchange power (kW) between system and power grid；
Cbat,dep--- the charge/discharge amortization charge (member/kWh) of unit time energy storage；Cop-H--- the operation cost of thermal energy supply module
(member)；CHB_grid--- the heat switching cost (member) of system and Thermal Corp；Ph_st(t) --- the power (kW) of heat reservoir；
ah_st--- the power cost (member/kWh) of hold over system；Cop-NG--- the operation cost (member) of natural gas power supply module；--- the operation cost (member) of thermal energy supply module；CHB_grid--- demand response Gas Prices (member/m3)；
--- fixed Gas Prices (member/m3)；LHVNG--- the low heat value (kWh/m of natural gas3)；PNG_st(t) --- natural gas is deposited
The power (kW) of storage system；ah_st--- the power cost (member/kW) of natural gas storage system；M, N --- demand response coefficient,
M, N=1 indicate that system participates in demand response；M, N=0 indicate that system is not involved in demand response；
S12, objective function of the building based on Environmental costs model
It is the important motivity and heat supply of regional complex energy resource system using natural gas as the CCHP system and gas fired-boiler of fuel
Unit and the important sources of regional complex energy resource system pollutant emission；The Environmental costs of regional complex energy system operation
In terms of mainly including following two: environmental loss caused by production of energy pollutant and non-ambient resulting from loss；It is related
The charges for disposing pollutants that department collects；It is as follows that Environmental costs minimize model:
C in formulaE--- Environmental costs (member)；Pk(t) --- the power (kW) of the emission source k of t moment；--- it comes from
The emission factor (member/kg) of the pollutant j of emission source k；Qj--- pollutant emission level (kg)；ζEC-p--- pollutant emission
Rejection penalty (member)；
S13, objective function of the building based on system reliability model
Regional complex energy resource system short of electricity rate is the common power supply reliability index of electric system；According to regional complex
The correlation of energy resource system and electric system constructs regional complex energy resource system supply reliability index: energy resource supply loss
Rate (Loss of Energy Supply Probability, LESP), LESP indicate a certain period system energy supply gap with
The ratio of overall energy requirement；
LESP (t) in formula --- Environmental costs (member)；Pk(t) --- t moment system self-energy vacancy and t moment gross energy
The ratio between demand (%)；Edemand,t--- t moment system self-energy total demand (kW)；Esupply,t--- t moment system self-energy
Demand supplies (kW)；
S2, regional complex energy resource system optimal control constraint condition is analyzed
S21, energy balance constraint
The main object of regional complex energy resource system energy balance is electric, hot, cold, natural gas；Electrical power balance, which refers to, is
The inside and outside power supply of system must satisfy the electric load demand in system, and thermal balance refers mainly to the heat that system itself generates can
To meet the needs of itself, if be not able to satisfy, system needs to buy a certain amount of heat, cold power-balance master from Thermal Corp
Refer to demand of the system to cold no more than the air conditioning quantity that the systems such as CCHP generate；
Energy balance constraint in regional complex energy resource system is as follows
(1) electric load Constraints of Equilibrium
Pe_grid(t)+PWT(t)+PPV(t)+PCCHP(t)+Pdis(t)=Pload(t)+Pchar(t)+PEV(t) (28)
P in formulae_grid(t) --- the electricity between power grid and integrated energy system exchanges power (kW)；PWT(t) --- wind
Power generates electricity output power (kW)；Ppv(t) --- distributed photovoltaic power generation output power (kW)；PCCHP(t) --- CCHP electricity output
Power (kW)；Pdis(t) --- the discharge power (kW) of battery；Pload(t) --- the total load (kW) in system；Ppv(t)——
Distributed photovoltaic power generation output power (kW)；PEV(t) --- electric automobile load；
(2) heat load balance constrains
Hh_grid(t)+HHP(t)+HAC(t)+HCCHP(t)+Hh_re(t)=Hload(t)+Hh_st(t) (29)
H in formulah_grid(t) --- the hot exchange power (kW) between heat supply company and integrated energy system；HHP(t)——
Heat pump output power (kW)；HAC(t) --- air-conditioning output power (kW)；HCCHP(t) --- CCHP thermal output (kW)；Hh_re
(t) --- the power (kW) of hold over system release heat；Hload(t) --- the thermic load (kW) in system；Hh_st(t) --- it stores
The power (kW) of hot systems storage heat；
(3) refrigeration duty Constraints of Equilibrium
LHP(t)+LAC(t)+LCCHP(t)+Ll_re(t)=Lload(t)+Ll_st(t) (30)
L in formulaCCHP(t) --- the power (kW) of heat pump output refrigeration duty；LAC(t) --- the power of air-conditioning output refrigeration duty
(kW)；Lh_re(t) --- the power (kW) of cold accumulation system release refrigeration duty；Lload(t) --- the refrigeration duty (kW) in system；
Lh_st(t) --- the power (kW) of cold accumulation system storage refrigeration duty；
(4) natural gas load Constraints of Equilibrium
P in formulang_grid(t) --- power (kW) of the natural gas grid to system supply natural gas；Png_st(t) --- in system
The power (kW) of gas storage system release；--- the generating efficiency (%) of fuel gas generation；
Png_life(t) --- domestic gas load (kW) is occupied in regional complex energy resource system；
S22, energy balance constraint
In regional complex energy resource system, it is contemplated that the peace of the interactive relation and system and energy net of system and outside
Entirely, the energy exchange power between system and external network preferably must be held in a certain range:
Pe_min≤|Pe_grid|≤Pe_max (32)
Pg_min≤|Pg_network|≤Pg_max (33)
P in formulae_min(t) --- the minimum amount of power between power grid and integrated energy system exchanges power (kW)；Pe_max
(t) --- the maximum electricity between power grid and integrated energy system exchanges power (kW)；Pg_max(t) --- natural gas grid is to system
Supply the maximum power (kW) of natural gas；Pg_min(t) --- minimum power (kW) of the natural gas grid to system supply natural gas；
S23, system operation constraint
Integrated energy system includes many hardware devices, these equipment must meet in the process of running the operation of oneself about
Beam condition；Unit is contributed in real time should be between upper and lower limit, while the change rate of the power of the assembling unit is limited by climbing rate；
(1) the operation constraint of energy supply equipment
PΔese_min(t)θ(t)≤ΔPese(t)≤PΔese_max(t)θ(t) (35)
P in formulaese_min(t) --- the minimum output power (kW) of equipment；Pese_max(t) --- the maximum work output of equipment
Rate (kW)；The operating status of θ (t) --- equipment；ΔPese(t) --- the variable quantity (kW) of power in the t time；PΔese_min
(t) --- the lower limit (kW) of equipment climbing capacity；PΔese_max(t) --- the upper limit (kW) of equipment climbing capacity；
(2) energy storage system operation constraint
1) electric energy energy storage
SOCmin≤SOC(t)≤SOCmax (36)
SOCstart(t)=SOCend(t)(39)
SOC in formulamin--- the minimum value of electric energy storage charge state；SOCmax--- the maximum value of electric energy storage charge state；--- the efficiency of battery charging；--- the efficiency of battery discharge；--- the maximum charge electricity that battery allows
It flows (A)；--- the maximum discharge current (A) that battery allows；SOCstart(t) --- energy-storage system time started dispatching cycle
Battery remaining power；SOCend(t) --- the battery remaining power of energy-storage system end time dispatching cycle；
2) thermal energy energy storage
Hh_st_min≤Hhst(t)≤Hh_st_max (40)
Hh_st_start(t)=Hh_st_end(t) (42)
H in formulah_st_min--- the minimum value of hot energy storage charge state；Hh_st_max--- the maximum of hot energy storage charge state
Value；--- the efficiency of thermal energy storage；--- the releasable efficiency of heat；Hh_st_start(t) --- heat reservoir scheduling
The battery remaining power of Period Start Time；Hh_st_end(t) --- the remaining battery of heat reservoir end time dispatching cycle holds
Amount；
S3, optimizing control models are solved
According to the operation reserve of RIES, NSGA-II algorithm solving model is used herein；In calculating process, it can pass through
NSGA-II algorithm obtains the Pareto disaggregation of optimization, and optimal solution is selected from optimal solution set using fuzzy membership functions；Decision
Person is embodied in the size of degree of membership the satisfaction of this objective optimization, and the fuzzy person in servitude by synthesizing each objective function
Category degree obtains optimal solution；
Firstly, calculating the degree of membership that Pareto solution concentrates objective function by equation (24)；
F in formulai--- the functional value of objective function i；--- the minimum value of objective function；--- objective function
Maximum value；
Then weighted value is arranged according to the preference of policymaker, and the optimal solution for calculating multiple objective function is subordinate to weighted value,
The corresponding Pareto solution of maximum value is optimal solution；
Further, weight is set as equal weight, then calculation formula is as follows:
N in formulap--- population number；Di--- the weight of objective function；Nobj--- the quantity of objective function；uk--- it is subordinate to
Functional value.
Compared with prior art, the advantages and positive effects of the present invention are:
Regional complex energy resource system optimal control method of the invention comprehensively considers system capacity balance, energy supply, is
The constraint conditions such as equipment of uniting operation, pollutant object discharge maximum optimal with economic row and the minimum target letter of rate of energy loss
Number, establishes RIES optimal operation model, it is intended to realize minimum system overall running cost, reliability and system emission reduction rate highest.And
The characteristics of based on the optimal operation model and Solve problems established herein, selects improved non-pessimum genetic algorithm (NSGA-II)
Objective function is solved.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of invention without any creative labor, may be used also for those of ordinary skill in the art
To obtain other drawings based on these drawings.
Fig. 1 is representative region integrated energy system structure chart；
Fig. 2 is the flow chart of NSGA-II algorithm；
Fig. 3 is electric load, thermic load and the NG load prediction curve figure of typical day in the system winter；
Fig. 4 is the renewable energy power curve figure of typical day in winter in garden；
Fig. 5 is the predicted value figure of typical day NG price and electricity price；
Fig. 6 is typical case RIES cold-hot-electric load supplying mode figure；
Fig. 7 is typical case's RIES energy management and Optimal Control Strategy simulation contact surface；
Fig. 8 is the Pareto optimality disaggregation figure based on NSGA- II；
Fig. 9 is mode 1DG power output and electric energy storage charge state figure；
Figure 10 is 1 heat load balance situation of mode and heat reservoir state diagram；
Figure 11 is mode 2DG power output and electric energy storage charge state figure；
Figure 12 is 2 heat load balance situation of mode and heat reservoir state diagram；
Figure 13 is electricity price sensitivity analysis figure；
Figure 14 is Gas Prices sensitivity analysis figure.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, in order to further understand the present invention.Obviously, described embodiments are only a part of the embodiments of the present invention,
Instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art are not making creative labor
Every other embodiment obtained under the premise of dynamic, any modification, equivalent replacement, improvement and so on should be included in this hair
Within bright protection scope.
All experimental methods used are conventional method unless otherwise specified in following embodiment.In following embodiment
Material, reagent used etc. can be obtained through commercial channels unless otherwise specified.
As illustrated in fig. 1 and 2, the present invention provides a kind of regional complex energy resource system optimal control methods, including walk as follows
It is rapid:
S1, building regional complex energy resource system optimal control objective function
It, will to realize minimum regional complex energy resource system overall running cost, reliability and system emission reduction rate supreme good
Objective function is divided into three operating cost model, Environmental costs model and system reliability model modules；
S11, objective function of the building based on operating cost model
The target of regional complex energy resource system economic load dispatching is to make energy cost minimization；Economic operation cost is mainly by day
The transaction cost composition of right gas, electric energy and thermal energy；It in addition to this, further include the operating cost of system itself；It determines based on operation
The objective function of cost model is as follows
F1=minCop=Cop-E+Cop-H+Cop-NG (45)
Cop-H=CHB_grid+ah_stPh_st(t) (47)
C in formulaop--- operation cost (member)；Cop-E--- the operating cost (member) of electric energy supply module；Ci--- distribution
The operation cost (member/kW) of formula power generation；Pi--- the output power (kW) of distributed power generation；γele-dr--- demand response electricity price
(member/kWh)；γele--- fixed electricity price (member/kWh)；PEB_grid(t) --- the exchange power (kW) between system and power grid；
Cbat,dep--- the charge/discharge amortization charge (member/kWh) of unit time energy storage；Cop-H--- the operation cost of thermal energy supply module
(member)；CHB_grid--- the heat switching cost (member) of system and Thermal Corp；Ph_st(t) --- the power (kW) of heat reservoir；
ah_st--- the power cost (member/kWh) of hold over system；Cop-NG--- the operation cost (member) of natural gas power supply module；--- the operation cost (member) of thermal energy supply module；CHB_grid--- demand response Gas Prices (member/m3)；
--- fixed Gas Prices (member/m3)；LHVNG--- the low heat value (kWh/m of natural gas3)；PNG_st(t) --- natural gas is deposited
The power (kW) of storage system；ah_st--- the power cost (member/kW) of natural gas storage system；M, N --- demand response coefficient,
M, N=1 indicate that system participates in demand response；M, N=0 indicate that system is not involved in demand response；
S12, objective function of the building based on Environmental costs model
It is the important motivity and heat supply of regional complex energy resource system using natural gas as the CCHP system and gas fired-boiler of fuel
Unit and the important sources of regional complex energy resource system pollutant emission；The Environmental costs of regional complex energy system operation
In terms of mainly including following two: environmental loss caused by production of energy pollutant and non-ambient resulting from loss；It is related
The charges for disposing pollutants that department collects；It is as follows that Environmental costs minimize model:
C in formulaE--- Environmental costs (member)；Pk(t) --- the power (kW) of the emission source k of t moment；--- it comes from
The emission factor (member/kg) of the pollutant j of emission source k；Qj--- pollutant emission level (kg)；ζEC-p--- pollutant emission
Rejection penalty (member)；
S13, objective function of the building based on system reliability model
Regional complex energy resource system short of electricity rate is the common power supply reliability index of electric system；According to regional complex
The correlation of energy resource system and electric system constructs regional complex energy resource system supply reliability index: energy resource supply loss
Rate (Loss of Energy Supply Probability, LESP), LESP indicate a certain period system energy supply gap with
The ratio of overall energy requirement；
LESP (t) in formula --- Environmental costs (member)；Pk(t) --- t moment system self-energy vacancy and t moment gross energy
The ratio between demand (%)；Edemand,t--- t moment system self-energy total demand (kW)；Esupply,t--- t moment system self-energy
Demand supplies (kW)；
S2, regional complex energy resource system optimal control constraint condition is analyzed
S21, energy balance constraint
The main object of regional complex energy resource system energy balance is electric, hot, cold, natural gas；Electrical power balance, which refers to, is
The inside and outside power supply of system must satisfy the electric load demand in system, and thermal balance refers mainly to the heat that system itself generates can
To meet the needs of itself, if be not able to satisfy, system needs to buy a certain amount of heat, cold power-balance master from Thermal Corp
Refer to demand of the system to cold no more than the air conditioning quantity that the systems such as CCHP generate；
Energy balance constraint in regional complex energy resource system is as follows
(1) electric load Constraints of Equilibrium
Pe_grid(t)+PWT(t)+PPV(t)+PCCHP(t)+Pdis(t)=Pload(t)+Pchar(t)+PEV(t) (50)
P in formulae_grid(t) --- the electricity between power grid and integrated energy system exchanges power (kW)；PWT(t) --- wind
Power generates electricity output power (kW)；Ppv(t) --- distributed photovoltaic power generation output power (kW)；PCCHP(t) --- CCHP electricity output
Power (kW)；Pdis(t) --- the discharge power (kW) of battery；Pload(t) --- the total load (kW) in system；Ppv(t)——
Distributed photovoltaic power generation output power (kW)；PEV(t) --- electric automobile load；
(2) heat load balance constrains
Hh_grid(t)+HHP(t)+HAC(t)+HCCHP(t)+Hh_re(t)=Hload(t)+Hh_st(t) (51)
H in formulah_grid(t) --- the hot exchange power (kW) between heat supply company and integrated energy system；HHP(t)——
Heat pump output power (kW)；HAC(t) --- air-conditioning output power (kW)；HCCHP(t) --- CCHP thermal output (kW)；Hh_re
(t) --- the power (kW) of hold over system release heat；Hload(t) --- the thermic load (kW) in system；Hh_st(t) --- it stores
The power (kW) of hot systems storage heat；
(3) refrigeration duty Constraints of Equilibrium
LHP(t)+LAC(t)+LCCHP(t)+Ll_re(t)=Lload(t)+Ll_st(t) (52)
L in formulaCCHP(t) --- the power (kW) of heat pump output refrigeration duty；LAC(t) --- the power of air-conditioning output refrigeration duty
(kW)；Lh_re(t) --- the power (kW) of cold accumulation system release refrigeration duty；Lload(t) --- the refrigeration duty (kW) in system；
Lh_st(t) --- the power (kW) of cold accumulation system storage refrigeration duty；
(4) natural gas load Constraints of Equilibrium
P in formulang_grid(t) --- power (kW) of the natural gas grid to system supply natural gas；Png_st(t) --- in system
The power (kW) of gas storage system release；--- the generating efficiency (%) of fuel gas generation；Png_life(t) --- region is comprehensive
It closes in energy resource system and occupies domestic gas load (kW)；
S22, energy balance constraint
In regional complex energy resource system, it is contemplated that the peace of the interactive relation and system and energy net of system and outside
Entirely, the energy exchange power between system and external network preferably must be held in a certain range:
Pe_min≤|Pe_grid|≤Pe_max (54)
Pg_min≤|Pg_network|≤Pg_max (55)
P in formulae_min(t) --- the minimum amount of power between power grid and integrated energy system exchanges power (kW)；Pe_max
(t) --- the maximum electricity between power grid and integrated energy system exchanges power (kW)；Pg_max(t) --- natural gas grid is to system
Supply the maximum power (kW) of natural gas；Pg_min(t) --- minimum power (kW) of the natural gas grid to system supply natural gas；
S23, system operation constraint
Integrated energy system includes many hardware devices, these equipment must meet in the process of running the operation of oneself about
Beam condition；Unit is contributed in real time should be between upper and lower limit, while the change rate of the power of the assembling unit is limited by climbing rate；
(1) the operation constraint of energy supply equipment
PΔese_min(t)θ(t)≤ΔPese(t)≤PΔese_max(t)θ(t) (57)
P in formulaese_min(t) --- the minimum output power (kW) of equipment；Pese_max(t) --- the maximum work output of equipment
Rate (kW)；The operating status of θ (t) --- equipment；ΔPese(t) --- the variable quantity (kW) of power in the t time；PΔese_min
(t) --- the lower limit (kW) of equipment climbing capacity；PΔese_max(t) --- the upper limit (kW) of equipment climbing capacity；
(2) energy storage system operation constraint
1) electric energy energy storage
SOCmin≤SOC(t)≤SOCmax (58)
SOCstart(t)=SOCend(t) (61)
SOC in formulamin--- the minimum value of electric energy storage charge state；SOCmax--- the maximum value of electric energy storage charge state；--- the efficiency of battery charging；--- the efficiency of battery discharge；--- the maximum charge electricity that battery allows
It flows (A)；--- the maximum discharge current (A) that battery allows；SOCstart(t) --- energy-storage system time started dispatching cycle
Battery remaining power；SOCend(t) --- the battery remaining power of energy-storage system end time dispatching cycle；
2) thermal energy energy storage
Hh_st_min≤Hhst(t)≤Hh_st_max (62)
Hh_st_start(t)=Hh_st_end(t) (64)
H in formulah_st_min--- the minimum value of hot energy storage charge state；Hh_st_max--- the maximum of hot energy storage charge state
Value；--- the efficiency of thermal energy storage；--- the releasable efficiency of heat；Hh_st_start(t) --- heat reservoir scheduling
The battery remaining power of Period Start Time；Hh_st_end(t) --- the remaining battery of heat reservoir end time dispatching cycle holds
Amount；
S3, optimizing control models are solved
According to the operation reserve of RIES, using NSGA-II algorithm solving model；It is calculated in calculating process by NSGA-II
Method obtains the Pareto disaggregation of optimization, and optimal solution is selected from optimal solution set using fuzzy membership functions；Policymaker is to this
The satisfaction of objective optimization is embodied in the size of degree of membership, and is obtained by the fuzzy membership of each objective function of synthesis
Obtain optimal solution；
Firstly, calculating the degree of membership that Pareto solution concentrates objective function by equation (24)；
F in formulai--- the functional value of objective function i；--- the minimum value of objective function；--- objective function
Maximum value；
Then weighted value is arranged according to the preference of policymaker, and the optimal solution for calculating multiple objective function is subordinate to weighted value,
The corresponding Pareto solution of maximum value is optimal solution.
Further, weight is set as equal weight, then calculation formula is as follows:
N in formulap--- population number；Di--- the weight of objective function；Nobj--- the quantity of objective function；uk--- it is subordinate to
Functional value.
Proof analysis
Regional complex energy resource system is as a kind of efficient energy supply mode, economy, the feature of environmental protection and the peace of operation
Full property is concerned.The present invention establishes the area for taking into account this three big technology essential factor of market and economy, the feature of environmental protection and safety
Domain integrated energy system optimal operation model, purport realize the efficient operation of regional complex energy resource system.It is excellent according to the operation of foundation
Change model and running optimizatin is carried out to system, realizes the optimized operation state of system.Model of the present inventor according to foundation below, choosing
Typical regional complex energy garden is taken to be emulated, to verify the science and validity of established model.
1, basic data and model parameter
The present invention optimizes the system operation of its typical day, adjusts using certain regional complex energy garden as research object
Spending the period is 1h.The distribution network voltage of the garden is 10kV, and existing energy supply system mainly includes Wind turbines, photovoltaic machine
Group, CCHP system and energy-storage system.Table 1 is the capacity configuration situation of each module in system.Table 2 is the key of energy resource supply unit
Parameter.Fig. 3 is electric load, thermic load and the NG load prediction curve of typical day in the system winter.Fig. 4 is winter allusion quotation in garden
The renewable energy power curve of type day.The predicted value of typical day NG price and electricity price is as shown in Figure 5.
The configuration of 1 energy supply place capacity of table
2 energy resource supply unit key parameter of table
Environmental costs are one of the factors that must be taken into consideration in integrated energy system operation.Table 3 is different energy sources pollutant row
High-volume with Environmental costs parameter.
3 different energy sources pollutant discharge amount of table and Environmental costs parameter
2, RIES energy management and Optimal Control Strategy
According to the renewable energy of typical day power output, electric heating gas workload demand curve, by Optimized model proposed by the present invention
Energy management and optimal control for the regional complex energy resource system.Energy management and optimal control simulation process are with typical day
Load (for 24 hours) and DG output are master data, with the simulation time step-length of 1h, and it is excellent according to the setting of the energy resource supply mode of system
Change control strategy, energy management is carried out to the system and optimal control emulates.Fig. 6 is the RIES cold-hot-electric load supplying mode
Schematic diagram.
Simulation analysis is carried out below based on the RIES optimal operation model of foundation.Simulation process is to be based on load and energy valence
It based on the response model of lattice, is minimized with operating cost, pollutant emission minimum and energy supply loss late are minimised as
Optimization aim.By the emulation to two different energy supply modes, the scheduling strategy of different mode has been formulated.Fig. 7 is to set
Fixed energy management and Optimal Control Strategy simulation contact surface.
Strategy 1: independent heat supply mode
Being made of for thermal modules CCHP, air-conditioning system and hot energy-storage system in integrated energy system, system does not receive system
Heating power supply outside system, Gas Prices are fixed as 3.25 yuan/m3；Power supply module in system by CCHP, distributed power generation,
Electric energy storage system and power grid composition.System does not sell extra electricity to power grid, and electricity price is the corresponding electricity price of use time.
Strategy 2: combined heat mode
Being made of for thermal modules CCHP, city heat supply net and thermal energy energy-storage system in integrated energy system, system receive
The heat supply of exterior, Gas Prices are demand response price；Power supply module in system is by CCHP, distributed power generation, electricity
It can storage system and power grid composition.Extra electric energy can be sold to power grid by system, and electricity price is the corresponding electricity price of use time.
The energy management of regional complex energy resource system and optimal control simulation process are as follows:
Step 1: basic data inputs.Electric heating gas load data, distributed photovoltaic go out force data, distributed wind power output
Data and energy prices (electricity price, caloric value, Gas Prices) data, environmental emission coefficient, the capacity and its operation ginseng of each equipment
Number.
Step 2: the RIES optimal control based on NSGA-II emulates.Mould is controlled according to the system optimization that preceding sections are established
Type is carried out under different heat supply modes using the response load curve that second step obtains as input data by NSGA-II algorithm
Running optimizatin emulation.The power output situation of each unit in target function value and system under simulation data difference scheduling strategy, it is real
The optimal control of existing system.
Step 3: energy management and control result analysis.To the energy management result under different scheduling strategies and run excellent
Change result to compare and analyze, and sensitivity analysis is carried out to energy prices.
3, Different Optimization Strategy Simulation result and analysis
For above-mentioned 2 kinds of energy supply modes, literary grace II algorithm solving optimization problem of NSGA-.
The algorithm is applied to integrated energy system multiple-objection optimization, initial population is dimensioned to 1000, the number of iterations
It is set as 100.In order to study the characteristic of NSGA- II, calculated below using II pair of model established of NSGA-.
As shown in figure 8, none meets the optimum results of high emission reduction rate, low LESP and low system cost requirement simultaneously.
There is contradictory relationships between three objective functions proposed by the present invention, become difficult so that obtaining optimal solution simultaneously.One
Aspect then needs photovoltaic generator group and wind power generating set as much as possible if necessary to reduce the economic cost of system
Replace fossil energy unit.Although emission reduction rate can be improved in this strategy, reduce the reliability of system, thus it is low at
Originally, in the case where high emission reduction rate, system reliability is lower.On the other hand, it in order to improve the energy supply reliability of system, should use up
May from extra power network input energy, system cost and system discharge can be dramatically increased in this way, therefore cannot be simultaneously
Realize high reliability, low cost and high emission reduction rate.Table 4 is the optimum results of three objective functions of system.
Target function value under 4 different-energy supply model of table
It can see from upper table, under different energy supply modes, the cost structure of system has significant difference.In mould
In formula 1, there is no heat exchange between system and outside, system power supply supply can only meet the needs of own power source, not have electricity pin
Sell income.In addition, the origin of heat of the system, in CCHP and air-conditioning, air-conditioning system can use excessive green energy resource to generate
Heat, to reduce the disposal of pollutants of CCHP.In mode 2, between system and outside there are energy exchange, the system is from being
While the purchase heat of system outside, green electric power supply is sold to power grid.In this energy exchange processes, due to additional receipts
The operating cost of benefit, system is reduced compared to mode 1.Simultaneously as the participation of exterior energy networks, the energy of system is supplied
The stability of (LESP) and reliability is answered to obtain significant raising.
3.1, independent heat supply Strategy Simulation result and analysis
According to the optimisation strategy that mode 1 is set, the optimal scheduling strategy of system is obtained.Fig. 9 is the system power supply under mode 1
The output power of each unit of module.The main electrical power (CCHP-E) including CCHP, the input power (Grid) of power grid, electricity
The charge-discharge electric power (EES) of energy storage and electric energy storage charge state (EES-SOC).
Figure 10 is the output of each unit of the system heating power supply module under mode 1.Main includes the thermal power of CCHP
(CCHP-T), air-conditioning output power (AC), the charge-discharge electric power (TES) of hot energy storage and the charged state (TES- of thermal energy storage
SOC)。
3.2, combined heat Strategy Simulation result and analysis
According to the optimisation strategy that mode 2 is set, the optimal scheduling strategy of system is obtained.Figure 11 is the lower system power supply of mode 2
The output of each unit of module.
Figure 12 is the output of each unit of the hot supply module of system under mode 2.Main includes CCHP (CCHP-T)
State (the TES- of thermal power, the input power of heat supply network (H-Grid), the charge and discharge thermal power of hot energy storage (TES) and thermal energy storage
SOC)。
3.4 analysis of sensitive factors
In order to further analyze influence of the Parameters variation to model proposed in this paper, the present invention has carried out energy prices quick
Perceptual analysis.Influence of the present invention to different energy sources price change to model and integrated energy system operation result is ground
Study carefully, and the different scenes of mode 1 and mode 2 has been selected to be calculated and analyzed.As a result as shown in Figure 13 and Figure 14, energy prices
Change rate is the ratio between every kind of energy prices change value and benchmark price, and benchmark price is electricity price and natural gas price involved in this paper
Lattice.
(1) electricity price sensitivity analysis
After demand response, electricity price shows apparent temporal characteristics.The system can pass through tune according to load and electricity price
It saves the power output of unit and adjusts power purchase, the economical operation of system is realized in sale of electricity.
When electricity price variation, system operation cost variation is smaller, but Environmental costs variation becomes apparent.In mode 1, electric
Valence changes the influence being greater than to the influence of Environmental costs to operating cost.The variation of electricity price leads to the electric energy between system and power grid
Exchange changes.The system while reducing purchase of electricity, imitate by the operation by improving CCHP as far as possible in high electricity price period
Rate, increase is caused the variation of operating cost smaller by electric profit, while increasing the Environmental costs of system.With 1 phase of mode
Than the operating cost of mode 2 is more sensitive to electricity price.The heat that CCHP can not be provided in system is provided by Thermal Corp, and system can
To sell extra electric power.When electricity price continuous rise, system sells electric power to power grid in electricity price peak time, obtains certain
Economic benefit, but also increase the pollutant discharge amount of CCHP system.
(2) NG price sensitivity is analyzed
Simulation result shows that the operating cost of CCHP accounts for 50% or more of system total operating cost, while CCHP is also to be
Main pollution sources in system.The rise of Gas Prices results in the increase of CCHP operating cost, while also resulting in serious
Environmental pollution.
As can be seen from Figure 14, Gas Prices change the influence to system cost and change greater than electricity price to system cost
Influence.In China, Gas Prices are always held at higher level, influence of the market for natural gas condition to Gas Prices
It is very big, cause the fuctuation within a narrow range of Gas Prices that will generate tremendous influence to the operation of RIES.In mode 1, work as natural gas
Price is from 3.25 yuan/m3When declining 10%, system environments cost is steeply risen, and operating cost also slowly increases.Gas Prices
After drop, CCHP respond Gas Prices variation, provide more heats for system, eventually lead to Environmental costs sharply on
It rises.This reduces the power demand of heating system, the cost from power grid power purchase is reduced.Compared with mode 1, mode 2 is in
Reveal different variation tendencies.When Gas Prices go up, system initiatively reduces the operational efficiency of CCHP, in natural gas
Price peak period saves fuel cost, to reduce the discharge of pollutant, while also increasing from Thermal Corp's purchase
Heat.This makes when Gas Prices rise 5%~10%, and system operation cost increases above 25%.
Claims (3)
1. a kind of regional complex energy resource system optimal control method, characterized by the following steps:
S1, building regional complex energy resource system optimal control objective function
To realize minimum regional complex energy resource system overall running cost, reliability and system emission reduction rate supreme good, by target
Function is divided into three operating cost model, Environmental costs model and system reliability model modules；
S11, objective function of the building based on operating cost model
The target of regional complex energy resource system economic load dispatching is to make energy cost minimization；Economic operation cost is mainly by natural
The transaction cost of gas, electric energy and thermal energy forms；It in addition to this, further include the operating cost of system itself；Determine based on operation at
The objective function of this model is as follows
F1=minCop=Cop-E+Cop-H+Cop-NG (1)
Cop-H=CHB_grid+ah_stPh_st(t) (3)
C in formulaop--- operation cost (member)；Cop-E--- the operating cost (member) of electric energy supply module；
Ci--- the operation cost (member/kW) of distributed power generation；Pi--- the output power (kW) of distributed power generation；
γele-dr--- demand response electricity price (member/kWh)；γele--- fixed electricity price (member/kWh)；PEB_grid(t) --- system and electricity
Exchange power (kW) between net；Cbat,dep--- the charge/discharge amortization charge (member/kWh) of unit time energy storage；Cop-H——
The operation cost (member) of thermal energy supply module；CHB_grid--- the heat switching cost (member) of system and Thermal Corp；Ph_st
(t) --- the power (kW) of heat reservoir；ah_st--- the power cost (member/kWh) of hold over system；Cop-NG--- natural gas supplies
The operation cost (member) of electric module；--- the operation cost (member) of thermal energy supply module；CHB_grid--- demand response day
Right gas price lattice (member/m3)；--- fixed Gas Prices (member/m3)；LHVNG--- the low heat value (kWh/m of natural gas3)；
PNG_st(t) --- the power (kW) of natural gas storage system；ah_st--- the power cost (member/kW) of natural gas storage system；
M, N --- demand response coefficient, M, N=1 indicate that system participates in demand response；M, N=0 indicate that system is not involved in demand response；
S12, objective function of the building based on Environmental costs model
It is the important motivity and heating unit of regional complex energy resource system using natural gas as the CCHP system and gas fired-boiler of fuel,
It is also the important sources of regional complex energy resource system pollutant emission；The Environmental costs of regional complex energy system operation are mainly wrapped
In terms of including following two: environmental loss caused by production of energy pollutant and non-ambient resulting from loss；Relevant departments receive
The charges for disposing pollutants taken；It is as follows that Environmental costs minimize model:
C in formulaE--- Environmental costs (member)；Pk(t) --- the power (kW) of the emission source k of t moment；--- come from emission source
The emission factor (member/kg) of the pollutant j of k；Qj--- pollutant emission level (kg)；ζEC-p--- pollutant emission punishment takes
With (member)；
S13, objective function of the building based on system reliability model
Regional complex energy resource system short of electricity rate is the common power supply reliability index of electric system；According to the regional complex energy
The correlation of system and electric system constructs regional complex energy resource system supply reliability index: energy resource supply loss late
(Loss of Energy Supply Probability, LESP), LESP indicate a certain period system energy supply gap and total
The ratio of energy requirement；
LESP (t) in formula --- Environmental costs (member)；Pk(t) --- t moment system self-energy vacancy and t moment overall energy requirement
The ratio between (%)；Edemand,t--- t moment system self-energy total demand (kW)；Esupply,t--- t moment system self-energy demand
It supplies (kW)；
S2, regional complex energy resource system optimal control constraint condition is analyzed
S21, energy balance about beam analysis
The main object of regional complex energy resource system energy balance is electric, hot, cold, natural gas；Electrical power balance refers in system
Outer power supply must satisfy the electric load demand in system, and thermal balance, which refers mainly to the heat that system itself generates, to expire
The needs of foot itself, if be not able to satisfy, system needs to buy a certain amount of heat from Thermal Corp, and cold power-balance refers mainly to
Demand of the system to cold is no more than the air conditioning quantity that the systems such as CCHP generate；
Energy balance constraint in regional complex energy resource system is as follows
(1) electric load Constraints of Equilibrium
Pe_grid(t)+PWT(t)+PPV(t)+PCCHP(t)+Pdis(t)=Pload(t)+Pchar(t)+PEV(t) (6)
P in formulae_grid(t) --- the electricity between power grid and integrated energy system exchanges power (kW)；PWT(t) --- wind-force hair
Electric output power (kW)；Ppv(t) --- distributed photovoltaic power generation output power (kW)；PCCHP(t) --- CCHP electric output power
(kW)；Pdis(t) --- the discharge power (kW) of battery；Pload(t) --- the total load (kW) in system；Ppv(t) --- distribution
Formula photovoltaic power generation output power (kW)；PEV(t) --- electric automobile load；
(2) heat load balance constrains
Hh_grid(t)+HHP(t)+HAC(t)+HCCHP(t)+Hh_re(t)=Hload(t)+Hh_st(t) (7)
H in formulah_grid(t) --- the hot exchange power (kW) between heat supply company and integrated energy system；HHP(t) --- heat pump
Output power (kW)；HAC(t) --- air-conditioning output power (kW)；HCCHP(t) --- CCHP thermal output (kW)；Hh_re
(t) --- the power (kW) of hold over system release heat；Hload(t) --- the thermic load (kW) in system；Hh_st(t) --- it stores
The power (kW) of hot systems storage heat；
(3) refrigeration duty Constraints of Equilibrium
LHP(t)+LAC(t)+LCCHP(t)+Ll_re(t)=Lload(t)+Ll_st(t) (8)
L in formulaCCHP(t) --- the power (kW) of heat pump output refrigeration duty；LAC(t) --- the power of air-conditioning output refrigeration duty
(kW)；Lh_re(t) --- the power (kW) of cold accumulation system release refrigeration duty；Lload(t) --- the refrigeration duty (kW) in system；
Lh_st(t) --- the power (kW) of cold accumulation system storage refrigeration duty；
(4) natural gas load Constraints of Equilibrium
P in formulang_grid(t) --- power (kW) of the natural gas grid to system supply natural gas；Png_st(t) --- gas storage in system
The power (kW) of system release；--- the generating efficiency (%) of fuel gas generation；Png_life(t) --- the regional complex energy
Domestic gas load (kW) is occupied in system；
S22, energy balance about beam analysis
In regional complex energy resource system, it is contemplated that system and outside interactive relation and system and energy net safety, be
Energy exchange power between system and external network preferably must be held in a certain range:
Pe_min≤|Pe_grid|≤Pe_max (10)
Pg_min≤|Pg_network|≤Pg_max (11)
P in formulae_min(t) --- the minimum amount of power between power grid and integrated energy system exchanges power (kW)；Pe_max(t) --- electricity
Maximum electricity between net and integrated energy system exchanges power (kW)；Pg_max(t) --- natural gas grid is natural to system supply
The maximum power (kW) of gas；Pg_min(t) --- minimum power (kW) of the natural gas grid to system supply natural gas；
S23, system operation constraint
Integrated energy system includes many hardware devices, these equipment must meet the operation constraint item of oneself in the process of running
Part；Unit is contributed in real time should be between upper and lower limit, while the change rate of the power of the assembling unit is limited by climbing rate；
(1) the operation constraint of energy supply equipment
PΔese_min(t)θ(t)≤ΔPese(t)≤PΔese_max(t)θ(t) (13)
P in formulaese_min(t) --- the minimum output power (kW) of equipment；Pese_max(t) --- the peak power output of equipment
(kW)；The operating status of θ (t) --- equipment；ΔPese(t) --- the variable quantity (kW) of power in the t time；PΔese_min
(t) --- the lower limit (kW) of equipment climbing capacity；PΔese_max(t) --- the upper limit (kW) of equipment climbing capacity；
(2) energy storage system operation constraint
1) electric energy energy storage
SOCmin≤SOC(t)≤SOCmax (14)
SOCstart(t)=SOCend(t) (17)
SOC in formulamin--- the minimum value of electric energy storage charge state；SOCmax--- the maximum value of electric energy storage charge state；
--- the efficiency of battery charging；--- the efficiency of battery discharge；--- the maximum charging current (A) that battery allows；--- the maximum discharge current (A) that battery allows；SOCstart(t) --- the battery of energy-storage system time started dispatching cycle
Residual capacity；SOCend(t) --- the battery remaining power of energy-storage system end time dispatching cycle；
2) thermal energy energy storage
Hh_st_min≤Hhst(t)≤Hh_st_max (18)
Hh_st_start(t)=Hh_st_end(t) (20)
H in formulah_st_min--- the minimum value of hot energy storage charge state；Hh_st_max--- the maximum value of hot energy storage charge state；--- the efficiency of thermal energy storage；--- the releasable efficiency of heat；Hh_st_start(t) --- heat reservoir dispatching cycle
The battery remaining power of time started；Hh_st_end(t) --- the battery remaining power of heat reservoir end time dispatching cycle.
2. regional complex energy resource system optimal control method as described in claim 1, it is characterised in that: according to the operation of RIES
Strategy, using NSGA-II algorithm solving model；The Pareto disaggregation of optimization is obtained by NSGA-II algorithm in calculating process,
And optimal solution is selected from optimal solution set using fuzzy membership functions；Policymaker is embodied in person in servitude to the satisfaction of this objective optimization
In the size of category degree, and optimal solution is obtained by the fuzzy membership of each objective function of synthesis；
Firstly, calculating the degree of membership that Pareto solution concentrates objective function by equation (24)；
F in formulai--- the functional value of objective function i；Fi min--- the minimum value of objective function；Fi max--- objective function is most
Big value；
Then weighted value is arranged according to the preference of policymaker, and the optimal solution for calculating multiple objective function is subordinate to weighted value, it is maximum
Being worth corresponding Pareto solution is optimal solution.
3. regional complex energy resource system optimal control method as described in claim 1, it is characterised in that: if weight is set as
Equal weight, then calculation formula is as follows:
N in formulap--- population number；Di--- the weight of objective function；Nobj--- the quantity of objective function；uk--- membership function
Value.
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| CN117474301A (en) * | 2023-12-28 | 2024-01-30 | 南昌大学 | Comprehensive energy system multi-target optimization scheduling method and device based on occupational advanced |
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