CN107918919A - A kind of industrial park integrated energy system Optimized Operation containing control strategy and evaluation system and method - Google Patents

A kind of industrial park integrated energy system Optimized Operation containing control strategy and evaluation system and method Download PDF

Info

Publication number
CN107918919A
CN107918919A CN201711092907.5A CN201711092907A CN107918919A CN 107918919 A CN107918919 A CN 107918919A CN 201711092907 A CN201711092907 A CN 201711092907A CN 107918919 A CN107918919 A CN 107918919A
Authority
CN
China
Prior art keywords
mrow
integrated energy
energy system
control strategy
msubsup
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201711092907.5A
Other languages
Chinese (zh)
Inventor
刘念
郭斌
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
North China Electric Power University
Original Assignee
North China Electric Power University
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by North China Electric Power University filed Critical North China Electric Power University
Priority to CN201711092907.5A priority Critical patent/CN107918919A/en
Publication of CN107918919A publication Critical patent/CN107918919A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/06Energy or water supply
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q10/00Administration; Management
    • G06Q10/04Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0631Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06315Needs-based resource requirements planning or analysis
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P80/00Climate change mitigation technologies for sector-wide applications
    • Y02P80/10Efficient use of energy, e.g. using compressed air or pressurized fluid as energy carrier
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/80Management or planning
    • Y02P90/82Energy audits or management systems therefor

Landscapes

  • Business, Economics & Management (AREA)
  • Human Resources & Organizations (AREA)
  • Engineering & Computer Science (AREA)
  • Economics (AREA)
  • Strategic Management (AREA)
  • Theoretical Computer Science (AREA)
  • Entrepreneurship & Innovation (AREA)
  • General Physics & Mathematics (AREA)
  • Marketing (AREA)
  • General Business, Economics & Management (AREA)
  • Physics & Mathematics (AREA)
  • Tourism & Hospitality (AREA)
  • Health & Medical Sciences (AREA)
  • Development Economics (AREA)
  • Game Theory and Decision Science (AREA)
  • Operations Research (AREA)
  • Quality & Reliability (AREA)
  • Public Health (AREA)
  • Primary Health Care (AREA)
  • Water Supply & Treatment (AREA)
  • General Health & Medical Sciences (AREA)
  • Educational Administration (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention discloses a kind of industrial park integrated energy system Optimized Operation containing control strategy and evaluation system and method, scheme is:Scheduling phase a few days ago, on hot and cold, electric load curve fundamentals of forecasting, integrated energy system is according to the performance and capacity parameter of each unit, and using integrated energy system performance driving economy as optimization aim, decision-making goes out optimal unit output a few days ago;In the Real-Time Scheduling stage, regular hour in advance, with reference to factor situation of change at that time, appropriate amendment is carried out for obtained load prediction results and the Optimized Operation curve calculated, real-time dispatch command is generated at the current time of system operation, realizes the optimization for system;In the Real-Time Scheduling stage, exist from various control strategies such as cutting-in control, direct load control, user temperature controls;On the basis of optimal scheduling curve is drawn, scheduling system further completes the evaluation to energy efficiency indexes such as the economy, the feature of environmental protection and energy saving of integrated energy system.

Description

A kind of industrial park integrated energy system Optimized Operation containing control strategy and evaluation system System and method
Technical field
The invention belongs to integrated energy system Optimized Operation field, is a kind of industrial park comprehensive energy containing control strategy System optimization scheduling and evaluation system and method.
Background technology
With to the more and more extensive concern of integrated energy system and in-depth study, integrated energy system access power distribution network It would is that a universal phenomenon in future, integrated energy system can provide various energy resources supply, be applied in industrial park Extensively, relatively traditional fired power generating unit power generation or single unit generation have more in terms of efficiency of energy utilization, environment friendly Big advantage.The Optimized Operation of integrated energy system enjoys researcher to pay close attention to, and passes through Optimized Operation so that integrated energy system is transported Row is more economical, and scheduling is divided into Optimized Operation a few days ago and Real time optimal dispatch two benches.Scheduling is based on load a few days ago a few days ago Predicted value, but load prediction, in the Real-Time Scheduling stage, in advance the regular hour, changes there are error with reference to factor at that time Situation, carries out appropriate amendment for obtained load prediction results and the Optimized Operation curve calculated, is transported in system Capable current time generates real-time dispatch command, realizes the optimization for system.The addition of control strategy causes comprehensive energy System operation is more flexible, economical.Contain control under can still being configured at present without very comprehensive system and method to industrial park The integrated energy system of system strategy optimizes scheduling and metrics evaluation.
The content of the invention
It is an object of the present invention to propose a kind of industrial park integrated energy system Optimized Operation containing control strategy with commenting Valency system and method, the Optimal Scheduling a few days ago of integrated energy system and Real time optimal dispatch problem are combined together, made Integrated energy system economical operation is obtained, and optional control strategy is added in the Real-Time Scheduling stage so that integrated energy system operation Business and user are benefited, and integrated energy system operation is more flexible, economical.
The technical scheme is that a kind of industrial park integrated energy system Optimized Operation containing control strategy and evaluation System, it is characterized in that the system comprises:Distribution network operation business, integrated energy system control centre, integrated energy system equipment With hot and cold, electric load user;The distribution network operation business is connected with integrated energy system control centre;The comprehensive energy system System control centre is connected with integrated energy system equipment and hot and cold, electric load user.
Distribution network operation business, which is used to dispatch with integrated energy system, carries out Power Exchange;Use integrated energy system control centre The output of each equipment inside Optimum Synthesis energy resource system, and dispatch command is issued, including issue direct load control strategy Information gives the electric load user;Dispatch command, which is issued, after reading hot and cold load user demand and adjusting information adjusts hot and cold machine The output of group;Issue power limitation control and from cutting-in control scheduling information to matching somebody with somebody network operation business.Integrated energy system equipment is used for Control centre's dispatch command is received, realizes that unit output meets scheduling requirement by itself control;Hot and cold, electric load user uses Information is adjusted in the control strategy information and the demand of upload user oneself for receiving control centre, completes the need based on polling excitation Ask response process and temperature adjustment.
Industrial park integrated energy system is the large-scale synthesis energy resource system for industrial park design, and crew qiting has combustion Gas-turbine, waste heat boiler, steam turbine, plate heat exchanger and steam type lithium bromide chiller, unit use the combustion of " 1+1 " pattern Gas-Steam Combined Cycle unit, according to summer cooling and Winter heat supply different running method, may be selected different system structures, Summer selection lithium bromide chiller is freezed using the low-pressure steam of waste heat boiler, and winter selection plate heat exchanger is utilized more than waste heat boiler Heat heating, it is possible to provide electric, hot and cold, steam various energy resources.
A kind of industrial park integrated energy system Optimized Operation and evaluation method containing control strategy, it is characterized in that the side Method, comprises the following steps:
Step 1:Scheduling instance a few days ago, is predicted hot and cold, electric load a few days ago, generates load prediction curve;
Step 2:Input each unit performance parameter, exchange power parameter and parameters of natural gas, wherein unit performance parameter The thermal efficiency, electrical efficiency, maintenance cost including unit, power generation capacity;
Step 3:The scheduling model a few days ago for considering that economy is optimal is established, object function is integrated energy system dispatching cycle Interior operation and maintenance cost is minimum, and constraints includes unit capacity constraint, exchanges power constraint, the matching of upstream and downstream unit output about Beam, cold Constraints of Equilibrium, thermal balance constraint, electric equilibrium constraint;
Step 4:Using interior point method solving model, obtain optimal unit output a few days ago and exchange performance number;
Step 5:The Real-Time Scheduling moment, according to load prediction error, modified load prediction result;
Step 6:Whether control strategy is selected, if selection control strategy, enters step 7, if non-selected control strategy, Enter step 8;
Step 7:Can be in final election control strategy set one or several, control strategy includes grid entry point invariable power control Make, from cutting-in control, the control of user's direct load and user temperature control;
Step 8:Establish and consider the optimal Real-Time Scheduling model of economy, correct Real-Time Scheduling curve;
Step 9:Input pointer evaluating, evaluates integrated energy system, and index covers economy, the feature of environmental protection and energy saving Property.
Unit performance parameter includes the thermal efficiency, electrical efficiency, maintenance cost, the power generation capacity of unit.Unit have gas turbine, Waste heat boiler, steam turbine, lithium bromide chiller and plate heat exchanger, gas turbine parameter is by gas turbine capacityCombustion gas Turbine thermal efficiency RFRGT, gas turbine electrical efficiency ηGTWith gas turbine maintenance cost mGT;Waste heat boiler parameter includes waste heat boiler CapacityWaste heat boiler heat recovery efficiency ηb, waste heat boiler heat distribution factor alpha and waste heat boiler maintenance cost mb;Vapor wheel Machine parameter includes capacityThermal efficiency RFRST, electrical efficiency ηGTWith maintenance cost mST;Lithium bromide chiller parameter includes capacityCoefficient of performanceLiWith maintenance cost mLi;Plate heat exchanger parameter includes capacityRecuperation of heat coefficients R FRpAnd maintenance Expense mp;Exchanging power parameter includes exchanging power capacityPurchase electricity price pbWith sale of electricity electricity price ps;Parameters of natural gas includes Natural gas unit cubic meter price pgWith heating value of natural gas Ccal
Object function is:
C=Cg+Cex+Cm
Wherein, C is the total operation expense of system;CgFor the gas cost of gas turbine;CexFor integrated energy system Power cost is exchanged with bulk power grid;CmFor system maintenance cost.
Unit capacity constraint needs to meet itself output bound:
Exchanging power constraint is:
Upstream and downstream unit output matching constraint, the unit heat positioned at system capacity upstream contribute otherwise are less than downstream unit Contribute.
Hot and cold, the electric and steam that hot and cold, electric equilibrium constraint requirements system produces is at least above hot and cold, electric, steam load Demand, the operational mode for system unrestricted choice electricity determining by heat or with the fixed heat of electricity.
Under direct load control, scheduling side issues the total load number for needing to cut down (or increase) and compensation electricity price to swash User is encouraged to participate in load and cut down (either increase) user side having reduction plans (or load can be increased) and can cutting down for oneself Satisfied compensation electricity price user side during (either increase) corresponding load is received after load cuts down (or increase) information, up to The information for performing reduction (or increase) load is reported after compensation electricity price to itself being satisfied with, if do not obtained also after an inquiry All cut down (or increase) loads, then increase the electricity price of certain Price Gradient, continue to inquire, until reach total reduction (or Increase) load, then perform reduction (or increase) load instruction.Polling excitation type demand response plan is proposed in such control mode Slightly, for scheduling side, by the electricity transaction price for gradually increasing certain gradient so that scheduling side cost of compensation is minimum, User side also obtain satisfied compensation electricity price, while consider user side with dispatching the interests of side, finally make to two The favourable transaction electricity of bilateral and price.
User temperature control in the control strategy.User side is interacted with scheduling side by real-time data base, user side The temperature that subsequent time needs are adjusted is reported by the application in the mobile equipment held, scheduling lateral root is according on t moment user The design temperature of reportThe indoor temperature of measurementOutdoor temperatureWith the performance parameter of building itself:Thermal resistance R is built, Air specific heat Cair, calculate the variable quantity for reaching cold (or heat) load of subsequent time temperatureIt is superimposed upon original Begin on cold (or heat) load curve, finally adjust unit output, meet cold (or heat) regulatory demand of user.
Cold becomes and turns to during summer:
The refrigeration duty demand of subsequent time system is
Wherein, QC tTo be the cold maintained needed for former temperature in system before temperature adjustment.
During winter, in order to realize the temperature change, the thermal change of the system is:
The thermal load demands of subsequent time system are
Wherein, QH tTo be the heat maintained needed for former temperature in system before temperature adjustment.
Industrial park integrated energy system Optimized Operation proposed by the present invention containing control strategy and evaluation system and method, Be not required to extra investment, clear thinking, fully taken into account in scheduling process load prediction error and user and system it is mutual It is dynamic, it is contemplated that the error of load prediction, Optimized Operation are divided into optimization and real-time optimization a few days ago;Consider the interaction of user and system, Add control various control strategy so that integrated energy system operation is more economical, flexible.
Brief description of the drawings
Fig. 1 (a) and (b) are industrial park integrated energy system structure charts;
Fig. 2 is the industrial park integrated energy system Optimized Operation and evaluation method flow containing control strategy of the present invention Figure;
Fig. 3 is load prediction curve;
Fig. 4 is Real time optimal dispatch interface.
Embodiment
Below in conjunction with the accompanying drawings, to the industrial park integrated energy system Optimized Operation containing control strategy and evaluation system and side Method elaborates.It is emphasized that what the description below was merely exemplary, the scope that is not intended to be limiting of the invention and It is applied.
Embodiment 1
Tu1Shi industrial parks integrated energy system structure chart.Fig. 1 (a) is summer central cooling method of operation structure chart, figure 1 (b) is winter central heating method of operation structure chart.As shown in Figure 1, integrated energy system bag in industrial park provided by the invention Include:Distribution network operation business, integrated energy system control centre, integrated energy system equipment and hot and cold, electric load user.Wherein, Distribution network operation business is connected with integrated energy system control centre, integrated energy system control centre and integrated energy system equipment Be connected with hot and cold, electric load user, comprising equipment have gas turbine, waste heat boiler, steam turbine, lithium bromide chiller and plate Formula heat exchanger, using gas turbine-Steam Combined Cycle unit.It is high to produce high temperature using natural gas power of burning for gas turbine Flue gas is pressed, flue gas enters waste heat boiler and produces vapor, and the sub-high pressure steam of waste heat boiler, which enters in steam turbine, to do work, steam turbine Pumping (or exhaust) is used further to heat supply.The driving steam (summer) that the low-pressure steam that waste heat boiler comes out is remembered as lithium bromide Or the heat source (winter) of heat-exchange unit, meet air conditioner cold-heat load, further improve the output and efficiency of combined cycle unit. According to summer cooling and Winter heat supply different running method, different system structures, summer selection lithium bromide chiller profit may be selected Freezed with the low-pressure steam of waste heat boiler, winter selects plate heat exchanger to be heated using waste heat boiler waste heat, in the range of energy supply Including a variety of industry situations such as machinery and auto parts and components, Grand Equipments, aerospace, there is provided electric, hot and cold, steam various energy resources, it is full Sufficient load and energy demand, and realize economy, energy saving, the feature of environmental protection operation of the system.
Distribution network operation business, which is used to dispatch with integrated energy system, carries out Power Exchange, is supplied in integrated energy system electric energy In the case of deficiency, electricity is supplemented, meets internal electrical load requirement, in the case of integrated energy system electric energy abundance, passes through Unnecessary electric energy is sold, obtains extra income.
Integrated energy system control centre is used for the output of each equipment inside Optimum Synthesis energy resource system, and issues adjusting The dispatch command of unit output, issues part control strategy information to electric load user and reads the hot and cold load user need of user Seek adjusting information.
Equipment in integrated energy system is used to receive control centre's dispatch command, and unit output is realized by itself control Meet scheduling requirement.
Hot and cold, electric load user is used to receive the control strategy information of control centre and the demand tune of upload user oneself Information is saved, completes demand response process and temperature adjustment based on polling excitation.
Fig. 2 is industrial park integrated energy system Optimized Operation and evaluation method flow chart containing control strategy.Such as Fig. 2 institutes Show, the industrial park integrated energy system Optimized Operation containing control strategy includes with evaluation method:
Step 1:Scheduling instance a few days ago, is predicted hot and cold, electric load a few days ago, generates load prediction curve;
Step 2:Input each unit performance parameter, exchange power parameter and parameters of natural gas, wherein unit performance parameter The thermal efficiency, electrical efficiency, maintenance cost including unit, power generation capacity;
In the step, each unit performance parameter being inputted, exchanging power parameter and parameters of natural gas, wherein unit performance is joined Number includes the thermal efficiency, electrical efficiency, maintenance cost, the power generation capacity of unit.Unit have gas turbine, waste heat boiler, steam turbine, Lithium bromide chiller and plate heat exchanger, gas turbine parameter is by gas turbine capacityThermal efficiency of gas turbine RFRGT, combustion gas Take turns electromechanical efficiency ηGTWith gas turbine maintenance cost mGT;Waste heat boiler parameter includes waste heat boiler capacityWaste heat boiler heat Organic efficiency ηb, waste heat boiler heat distribution factor alpha and waste heat boiler maintenance cost mb;Steam turbine parameter includes capacity Thermal efficiency RFRST, electrical efficiency ηGTWith maintenance cost mST;Lithium bromide chiller parameter includes capacityCoefficient of performanceLiAnd dimension Shield expense mLi;Plate heat exchanger parameter includes capacityRecuperation of heat coefficients R FRpWith maintenance cost mp;Exchange power parameter bag Include exchange power capacityPurchase electricity price pbWith sale of electricity electricity price ps;Parameters of natural gas includes natural gas unit cubic meter price pg With heating value of natural gas Ccal
Step 3:The scheduling model a few days ago for considering that economy is optimal is established, object function is integrated energy system dispatching cycle Interior operation and maintenance cost is minimum, and constraints includes unit capacity constraint, exchanges power constraint, the matching of upstream and downstream unit output about Beam, cold Constraints of Equilibrium, thermal balance constraint, electric equilibrium constraint;
Object function is:
C=Cg+Cex+Cm
Cg=pgFGT
Cex=psmax(Pex,0)+pbmin(Pex,0)
Cm=mGTPGT+mbQb+mSTQST+mLiQLi
Wherein, C is the total operation expense of system;CgFor the gas cost of gas turbine;CexFor integrated energy system Power cost is exchanged with bulk power grid;FGTFor natural gas heat:FGT=CcalS, S are gas discharge;PGT、Qb、QST、QLiRespectively Gas turbine, waste heat boiler, steam turbine and the energy of lithium bromide chiller production.
Unit capacity constraint needs to meet itself output bound:
Exchanging power constraint is:
Upstream and downstream unit output matching constraint, the unit heat positioned at system capacity upstream contribute otherwise are less than downstream unit Contribute:
QGTηb≥Qb
αQbCOPLi≥QLi
(1-α)QbRFR≥QST
Hot and cold, the electric and steam that hot and cold, electric equilibrium constraint requirements system produces is at least above hot and cold, electric, steam load Demand, the operational mode for system unrestricted choice electricity determining by heat or with the fixed heat of electricity.
QST≥Qhe
QLi≥Qco
PGT+PST+Pex≥Pele
Wherein, Qhe、Qco、PeleRespectively thermic load, refrigeration duty and electric load.
Step 4:Using interior point method solving model, obtain optimal unit output a few days ago and exchange performance number;
Step 5:The Real-Time Scheduling moment, according to load prediction error, modified load prediction result;
Step 6:Whether control strategy is selected, if selection control strategy, enters step 7, if non-selected control strategy, Enter step 8;
Step 7:Can be in final election control strategy set one or several, control strategy includes grid entry point invariable power control Make, from cutting-in control, the control of user's direct load and user temperature control.
Control is under direct load control, and scheduling side issues the total load number for needing to cut down (or increase) and compensation electricity price is come Excitation user, which participates in load and cuts down (either increase) user side, reduction plans (or can increase load) and can cutting down for oneself Satisfied compensation electricity price user side during (either increase) corresponding load is received after load cuts down (or increase) information, up to The information for performing reduction (or increase) load is reported after compensation electricity price to itself being satisfied with, if do not obtained also after an inquiry All cut down (or increase) loads, then increase the electricity price of certain Price Gradient, continue to inquire, until reach total reduction (or Increase) load, then perform reduction (or increase) load instruction.Polling excitation type demand response plan is proposed in such control mode Slightly, for scheduling side, by the electricity transaction price for gradually increasing certain gradient so that scheduling side cost of compensation is minimum, User side also obtain satisfied compensation electricity price, while consider user side with dispatching the interests of side, finally make to two The favourable transaction electricity of bilateral and price.
In the method, it is assumed that share three users, each user possesses P respectively1、P2、P3Load cut down surplus, and Each receptible minimum transaction value of user is respectively p1、p2、p3.Wish that the reduction plans total amount of user side is P in control centreT, And its initial transaction value is pi.After transaction starts, the control centre minimum user that can select to offer first is traded, if The user's quotation is bid less than control centre, then transaction directly progress, and the load that the user possesses directly is cut down in user side Surplus is cut down, respective transaction price is piIf minimum customer quote is bid still greater than control centre or control centre and user Total load reduction cannot still be reached after being traded, at this time control centre can be improved compensation electricity price p by certain gradient delta pi+1 =pi+ Δ p, to encourage user to be traded, until meeting that total load cuts down demand.
User temperature control in control strategy.User side is interacted with scheduling side by real-time data base, and user side passes through The application in mobile equipment held reports the temperature that subsequent time needs are adjusted, and scheduling lateral root is according to t moment reporting of user Design temperatureThe indoor temperature of measurementOutdoor temperatureWith the performance parameter of building itself:Build thermal resistance R, air ratio Hot Cair, calculate the variable quantity for reaching cold (or heat) load of subsequent time temperatureBe superimposed upon it is original it is cold (or Person's heat) on load curve, unit output is finally adjusted, meet cold (or heat) regulatory demand of user.
Cold becomes and turns to during summer:
The refrigeration duty demand of subsequent time system is
Wherein, QC tTo be the cold maintained needed for former temperature in system before temperature adjustment.
During winter, in order to realize the temperature change, the thermal change of the system is:
The thermal load demands of subsequent time system are
Wherein, QH tTo be the heat maintained needed for former temperature in system before temperature adjustment.
Step 8:Establish and consider the optimal Real-Time Scheduling model of economy, correct Real-Time Scheduling curve;
Step 9:Input pointer evaluating, evaluates integrated energy system, and index covers economy, the feature of environmental protection and energy saving Property.
Evaluation index parameter includes coal fired power generation CO2 emission coefficient μele, burning natural gas power carbon dioxide row Put coefficient μgas, pneumoelectric conversion ratio RgtE, gas heat conversion RgtHWith electric coefficient of performancee
By the energy consumption of natural gas cool and thermal power integrated energy system with directly being generated electricity using natural gas, heat supply and electricity system Cold dividing is compared for system, and then carries out rational evaluation to integrated energy system.Evaluation criterion is broadly divided into economy and comments Valency index, energy saving evaluation index and feature of environmental protection evaluation index.
First the energy expenditure of system is supplied to analyze to point.System loading includes electric load, thermic load, refrigeration duty, so Divide and basic composition is Natural Gas Power Plant, gas fired-boiler and electrical chillers for system.Divide needs individually to meet for system Corresponding cold and hot electricity demanding, the cool and thermal power balance of finance, credits and materials are as follows:
Electric equilibrium:
ESP=Pele+EESP
Wherein, ESPFor point electricity needed for system;EESPFor the electricity of electrical chillers consumption.
Thermal balance:
QHSP=Qhe
Wherein, QHSPFor point heat needed for system.
Cold-smoothing weighs:
EESP=Qco
Point for system primary energy consumption mainly on natural gas, be divided into Natural Gas Power Plant electricity production and gas fired-boiler Heat production two parts.
The amount of natural gas F of power plant consumptionEFor:
The amount of natural gas F of gas fired-boiler consumptionHFor:
Divide total natural gas consumption F for systemSPFor:
FSP=FE+FH
Assessment indicator system covers economy, the feature of environmental protection and the aspect of energy saving three, wherein, economic index is total cost section About rate, feature of environmental protection index are carbon dioxide discharge-reduction rate, and energy saving is subdivided into primary energy ratio and primary energy economic ratio.
The Economic feasibility target of system is mainly considered in terms of the system operation cost and maintenance cost two.Comprehensive energy System cost can be expressed as:
OCCCHP=ps max(Pex,0)+pb min(Pex,0)+pg FCCHP+∑miQi
The operating cost for system is divided to be expressed as to consume gas cost:
OCSP=pg FSP+∑miQi
Wherein, FCCHPAmount of natural gas, Q are consumed for integrated energy systemiTo represent the output of i-th equipment in system.
Integrated energy system relative to point being for the total cost saving rate of system:
The primary energy consumption amount PEC of natural gas cool and thermal power integrated energy systemCCHPFor:
Wherein, αeFor power grid primary energy conversion ratio.
Divide the primary energy consumption amount PEC for systemSPFor:
PECSP=FSP
Then the primary energy economic ratio of natural gas cool and thermal power integrated energy system is:
Primary energy ratio is the thermal effect that energy and the ratio of primary energy consumption amount, also referred to as system are exported in system Rate or total energy utilization rate or energy efficiency indexes.
The primary energy ratio of Gas Comprehensive energy resource system is:
Point it is for the primary energy ratio of system:
The predominant emissions of natural gas cool and thermal power integrated energy system in the process of running are carbon dioxide, therefore, by two Carbon emission amount is aoxidized as feature of environmental protection evaluation index.
CO2 emissions CDE in natural gas cool and thermal power integrated energy systemCCHPFor:
CDECCHP=Egridμele+FCCHPμgas
Divide the CO2 emissions CDE in the system of supplyingSPFor:
CDESP=FSPμgas
The CO2 emissions emission reduction rate of integrated energy system is:
Embodiment 2
Below by taking the industrial park integrated energy system of a reality as an example, the reality of the present invention is illustrated by the way of data Existing process.In the present embodiment, using summer heat supply running mode.
Step 1:Hot and cold, electric load a few days ago is predicted, generates load prediction curve, prediction result such as Fig. 3 institutes Show.
Step 2:Input each unit performance parameter, exchange power parameter and parameters of natural gas, wherein unit performance parameter The thermal efficiency, electrical efficiency, maintenance cost including unit, power generation capacity.Parameter setting is as shown in Figure 4.
Step 3:Establish the scheduling model a few days ago for considering that economy is optimal.
Step 4:Using interior point method solving model, obtain optimal unit output a few days ago and exchange performance number.Solving result such as table 1 It is shown.As a result contain hour level gas turbine, waste heat boiler, steam turbine, the output and comprehensive energy of lithium bromide chiller System exchanges power with power distribution network.
Table scheduling result before 1 day
Step 5:The Real-Time Scheduling moment, according to load prediction error, modified load prediction result;
Step 6:Whether control strategy is selected, if selection control strategy, enters step 7, if non-selected control strategy, Enter step 8;
Step 7:Can be in final election control strategy set one or several, wherein, the 1-6 moment is selected without control strategy; 7-12 moment cutting-in control and grid entry point power limitation control, 13-18 moment select cutting-in control, grid entry point power limitation control and use Family load directly controls, and the 19-24 moment selects cutting-in control, grid entry point power limitation control, customer charge directly controls and user Temperature control.
Step 8:Establish and consider the optimal Real-Time Scheduling model of economy, correct Real-Time Scheduling curve.Containing control strategy Real-Time Scheduling the results are shown in Table 2, table 2 the result is that being performed by the control strategy in step 7.
Table 2 uses the real-time machine unit scheduling result of control strategy
Continued 2 uses the Real-Time Scheduling result of control strategy
Step 9:Input pointer evaluating, evaluates integrated energy system, and index covers economy, the feature of environmental protection and energy saving Property.
The results are shown in Table 3 for index.
3 Real-Time Scheduling evaluation index result of table
Present invention may apply to the industrial park integrated energy system Optimized Operation containing control strategy and evaluation system and Method.Industrial park integrated energy system Optimized Operation proposed by the present invention containing control strategy is not required to evaluation system and method Extra investment, clear thinking, fully taken into account during adjusting load prediction error and scheduling side and user side it is mutual It is dynamic, add performance driving economy and the flexibility of integrated energy system.
The foregoing is only a preferred embodiment of the present invention, but protection scope of the present invention be not limited thereto, Any one skilled in the art the invention discloses technical scope in, the change or replacement that can readily occur in, It should be covered by the protection scope of the present invention.Therefore, protection scope of the present invention should be with scope of the claims Subject to.

Claims (21)

1. a kind of industrial park integrated energy system Optimized Operation and evaluation system containing control strategy, including power distribution network operation Business, integrated energy system control centre, integrated energy system equipment and hot and cold, electric load user;The distribution network operation business with Integrated energy system control centre is connected;The integrated energy system control centre and integrated energy system equipment and hot and cold, electric Load user is connected.
2. a kind of industrial park integrated energy system Optimized Operation containing control strategy according to claim 1 is with evaluation System, it is characterised in that:The distribution network operation business, which is used to dispatch with the integrated energy system, carries out Power Exchange.
3. a kind of industrial park integrated energy system Optimized Operation containing control strategy according to claim 1 is with evaluation System, it is characterised in that:The integrated energy system control centre is used to optimize each equipment inside the integrated energy system Contribute, and issue dispatch command.
4. a kind of industrial park integrated energy system Optimized Operation containing control strategy according to right wants 3 is with evaluation System, it is characterised in that:The dispatch command that issues includes issuing direct load control strategy information to the electric load user; Read after hot and cold load user demand adjusts information and issue the output that dispatch command adjusts hot and cold unit;Issue power limitation control Matched somebody with somebody network operation business with from cutting-in control scheduling information.
5. a kind of industrial park integrated energy system Optimized Operation containing control strategy according to claim 1 is with evaluation System, it is characterised in that:The integrated energy system equipment is used to receive integrated energy system control centre dispatch command, leads to Cross itself control and realize that unit output meets scheduling requirement.
6. a kind of industrial park integrated energy system Optimized Operation containing control strategy according to claim 1 is with evaluation System, it is characterised in that:Hot and cold, the electric load user is used for the control strategy for receiving the integrated energy system control centre Information and the demand of upload user oneself adjust information, complete demand response process and temperature adjustment based on polling excitation.
7. a kind of industrial park integrated energy system Optimized Operation containing control strategy according to claim 1 is with evaluation System, it is characterised in that:The system is the large-scale synthesis energy resource system for industrial park design, and crew qiting has combustion gas wheel Machine, waste heat boiler, steam turbine, plate heat exchanger and steam type lithium bromide chiller, unit use the combustion gas-steaming of " 1+1 " pattern Vapour combined cycle unit, according to summer cooling and Winter heat supply different running method, may be selected different system structures, summer choosing Select lithium bromide chiller using the low-pressure steam of waste heat boiler to freeze, winter selection plate heat exchanger utilizes waste heat boiler waste heat system Heat, it is possible to provide electric, hot and cold, steam various energy resources.
8. a kind of industrial park integrated energy system Optimized Operation and evaluation method containing control strategy, include the following steps:
Step 1:Scheduling instance a few days ago, is predicted hot and cold, electric load a few days ago, generates load prediction curve;
Step 2:Input each unit performance parameter, exchange power parameter and parameters of natural gas;
Step 3:The scheduling model a few days ago for considering that economy is optimal is established, object function is the integrated energy system dispatching cycle Interior operation and maintenance cost is minimum, and constraints includes unit capacity constraint, exchanges power constraint, the matching of upstream and downstream unit output about Beam, cold Constraints of Equilibrium, thermal balance constraint, electric equilibrium constraint;
Step 4:The scheduling model a few days ago is solved using interior point method, obtains optimal unit output a few days ago and exchange performance number;
Step 5:The Real-Time Scheduling moment, according to load prediction error, modified load prediction result;
Step 6:Whether control strategy is selected, if selection control strategy, enters step 7, if non-selected control strategy, enters Step 8;
Step 7:Can be in final election control strategy set one or several;
Step 8:Establish and consider the optimal Real-Time Scheduling model of economy, correct Real-Time Scheduling curve;
Step 9:Input pointer evaluating, evaluates the integrated energy system.
9. a kind of industrial park integrated energy system Optimized Operation containing control strategy according to claim 8 and evaluation side Method, it is characterised in that:The unit performance parameter includes the thermal efficiency, electrical efficiency, maintenance cost, the power generation capacity of unit.
10. a kind of industrial park integrated energy system Optimized Operation containing control strategy according to claim 8 and evaluation Method, it is characterised in that:The control strategy includes grid entry point power limitation control, is controlled from cutting-in control, user's direct load Controlled with user temperature.
11. a kind of industrial park integrated energy system Optimized Operation containing control strategy according to claim 8 and evaluation Method, it is characterised in that:The index covers economy, the feature of environmental protection and energy saving.
12. a kind of industrial park integrated energy system Optimized Operation containing control strategy according to claim 9 and evaluation Method, it is characterised in that:Unit has gas turbine, waste heat boiler, steam turbine, lithium bromide chiller and plate heat exchanger, combustion gas Turbine parameter is by gas turbine capacityThermal efficiency of gas turbine RFRGT, gas turbine electrical efficiency ηGTSafeguarded with gas turbine Expense mGT;Waste heat boiler parameter includes waste heat boiler capacityWaste heat boiler heat recovery efficiency ηb, waste heat boiler heat distribution Factor alpha and waste heat boiler maintenance cost mb;Steam turbine parameter includes capacityThermal efficiency RFRST, electrical efficiency ηGTAnd maintenance Expense mST;Lithium bromide chiller parameter includes capacityCoefficient of performanceLiWith maintenance cost mLi;Plate heat exchanger parameter bag Include capacityRecuperation of heat coefficients R FRpWith maintenance cost mp;Exchanging power parameter includes exchanging power capacityPower purchase electricity Valency pbWith sale of electricity electricity price ps;Parameters of natural gas includes natural gas unit cubic meter price pgWith heating value of natural gas Ccal
13. a kind of industrial park integrated energy system Optimized Operation containing control strategy according to claim 8 and evaluation Method, it is characterised in that:The object function is
C=Cg+Cex+Cm
Wherein, C is the total operation expense of system;CgFor the gas cost of gas turbine;CexFor integrated energy system and greatly Power grid exchanges power cost;CmFor system maintenance cost.
14. a kind of industrial park integrated energy system Optimized Operation containing control strategy according to claim 8 and evaluation Method, it is characterised in that:
The unit capacity constraint needs to meet itself output bound:
<mrow> <mn>0</mn> <mo>&amp;le;</mo> <msub> <mi>P</mi> <mrow> <mi>G</mi> <mi>T</mi> </mrow> </msub> <mo>&amp;le;</mo> <msubsup> <mi>P</mi> <mrow> <mi>G</mi> <mi>T</mi> </mrow> <mi>max</mi> </msubsup> </mrow>
<mrow> <mn>0</mn> <mo>&amp;le;</mo> <msub> <mi>Q</mi> <mi>b</mi> </msub> <mo>&amp;le;</mo> <msubsup> <mi>Q</mi> <mi>b</mi> <mi>max</mi> </msubsup> </mrow>
<mrow> <mn>0</mn> <mo>&amp;le;</mo> <msub> <mi>Q</mi> <mrow> <mi>S</mi> <mi>T</mi> </mrow> </msub> <mo>&amp;le;</mo> <msubsup> <mi>Q</mi> <mrow> <mi>S</mi> <mi>T</mi> </mrow> <mi>max</mi> </msubsup> </mrow>
<mrow> <mn>0</mn> <mo>&amp;le;</mo> <msub> <mi>Q</mi> <mrow> <mi>L</mi> <mi>i</mi> </mrow> </msub> <mo>&amp;le;</mo> <msubsup> <mi>Q</mi> <mrow> <mi>L</mi> <mi>i</mi> </mrow> <mi>max</mi> </msubsup> </mrow>
15. a kind of industrial park integrated energy system Optimized Operation containing control strategy according to claim 8 and evaluation Method, it is characterised in that:It is described exchange power constraint be:
<mrow> <mo>-</mo> <msubsup> <mi>P</mi> <mrow> <mi>e</mi> <mi>x</mi> </mrow> <mrow> <mi>m</mi> <mi>a</mi> <mi>x</mi> </mrow> </msubsup> <mo>&amp;le;</mo> <msub> <mi>P</mi> <mrow> <mi>e</mi> <mi>x</mi> </mrow> </msub> <mo>&amp;le;</mo> <msubsup> <mi>P</mi> <mrow> <mi>e</mi> <mi>x</mi> </mrow> <mi>max</mi> </msubsup> </mrow>
16. a kind of industrial park integrated energy system Optimized Operation containing control strategy according to claim 8 and evaluation Method, it is characterised in that:The upstream and downstream unit output matching constraint is:Unit heat positioned at system capacity upstream is contributed will Not less than downstream unit output.
17. a kind of industrial park integrated energy system Optimized Operation containing control strategy according to claim 8 and evaluation Method, it is characterised in that:Hot and cold, the electric and steam that hot and cold, the electric equilibrium constraint requirements system produces at least above it is cold, Heat, electricity, the demand of steam load, the operational mode for system unrestricted choice electricity determining by heat or with the fixed heat of electricity.
18. a kind of industrial park integrated energy system Optimized Operation containing control strategy according to claim 10 and evaluation Method, it is characterised in that:Under user's direct load control, scheduling side issues the total load for needing to cut down (or increase) Number and compensation electricity price have reduction plans or can increasing for oneself to encourage user to participate in load and cut down either increase user side Load and the satisfied compensation electricity price user side cut down when either increasing corresponding load receive load reduction or increase information Afterwards, the information for performing and cutting down or increasing load is reported after itself satisfaction compensation electricity price is reached, if after an inquiry also Do not obtain and all cut down or increase loads, then increase the electricity price of certain Price Gradient, continue to inquire, until reach it is total cut down or Person increases load, then performs reduction or increase load instruction.
19. a kind of industrial park integrated energy system Optimized Operation containing control strategy according to claim 10 and evaluation Method, it is characterised in that the user temperature control includes:User side is interacted with scheduling side by real-time data base, user side The temperature that subsequent time needs are adjusted is reported by the application in the mobile equipment held, scheduling lateral root is according on t moment user The design temperature of reportThe indoor temperature of measurementOutdoor temperatureWith the performance parameter of building itself:Thermal resistance R is built, Air specific heat Cair, calculate and reach that subsequent time temperature is cold or the variable quantity of thermic loadOrIt is superimposed upon original cold Or on thermic load curve, unit output is finally adjusted, meet that user is cold or thermal conditioning demand.
20. a kind of industrial park integrated energy system Optimized Operation containing control strategy according to claim 19 and evaluation Method, it is characterised in that cold becomes and turns to during summer:
<mrow> <msubsup> <mi>&amp;Delta;Q</mi> <mi>C</mi> <mi>t</mi> </msubsup> <mo>=</mo> <mrow> <mo>(</mo> <mrow> <mfrac> <mrow> <msubsup> <mi>T</mi> <mrow> <mi>i</mi> <mi>n</mi> </mrow> <mrow> <mi>t</mi> <mo>+</mo> <mn>1</mn> </mrow> </msubsup> <mo>-</mo> <msubsup> <mi>T</mi> <mrow> <mi>i</mi> <mi>n</mi> </mrow> <mi>t</mi> </msubsup> <msup> <mi>e</mi> <mfrac> <mrow> <mo>-</mo> <mn>1</mn> </mrow> <mrow> <msub> <mi>RC</mi> <mrow> <mi>a</mi> <mi>i</mi> <mi>r</mi> </mrow> </msub> </mrow> </mfrac> </msup> </mrow> <mrow> <mn>1</mn> <mo>-</mo> <msup> <mi>e</mi> <mfrac> <mrow> <mo>-</mo> <mn>1</mn> </mrow> <mrow> <msub> <mi>RC</mi> <mrow> <mi>a</mi> <mi>i</mi> <mi>r</mi> </mrow> </msub> </mrow> </mfrac> </msup> </mrow> </mfrac> <mo>-</mo> <msubsup> <mi>T</mi> <mrow> <mi>o</mi> <mi>u</mi> <mi>t</mi> </mrow> <mi>t</mi> </msubsup> </mrow> <mo>)</mo> </mrow> <mrow> <mo>(</mo> <mrow> <mo>-</mo> <mfrac> <mn>1</mn> <mi>R</mi> </mfrac> </mrow> <mo>)</mo> </mrow> </mrow>
The refrigeration duty demand of subsequent time system is
Wherein, QC tTo be the cold maintained needed for former temperature in system before temperature adjustment.
21. a kind of industrial park integrated energy system Optimized Operation containing control strategy according to claim 19 and evaluation Method, it is characterised in that during winter, in order to realize the temperature change, the thermal change of the system is:
<mrow> <msubsup> <mi>&amp;Delta;Q</mi> <mi>H</mi> <mi>t</mi> </msubsup> <mo>=</mo> <mrow> <mo>(</mo> <mrow> <mfrac> <mrow> <msubsup> <mi>T</mi> <mrow> <mi>i</mi> <mi>n</mi> </mrow> <mrow> <mi>t</mi> <mo>+</mo> <mn>1</mn> </mrow> </msubsup> <mo>-</mo> <msubsup> <mi>T</mi> <mrow> <mi>i</mi> <mi>n</mi> </mrow> <mi>t</mi> </msubsup> <msup> <mi>e</mi> <mfrac> <mrow> <mo>-</mo> <mn>1</mn> </mrow> <mrow> <msub> <mi>RC</mi> <mrow> <mi>a</mi> <mi>i</mi> <mi>r</mi> </mrow> </msub> </mrow> </mfrac> </msup> </mrow> <mrow> <mn>1</mn> <mo>-</mo> <msup> <mi>e</mi> <mfrac> <mrow> <mo>-</mo> <mn>1</mn> </mrow> <mrow> <msub> <mi>RC</mi> <mrow> <mi>a</mi> <mi>i</mi> <mi>r</mi> </mrow> </msub> </mrow> </mfrac> </msup> </mrow> </mfrac> <mo>-</mo> <msubsup> <mi>T</mi> <mrow> <mi>o</mi> <mi>u</mi> <mi>t</mi> </mrow> <mi>t</mi> </msubsup> </mrow> <mo>)</mo> </mrow> <mrow> <mo>(</mo> <mfrac> <mn>1</mn> <mi>R</mi> </mfrac> <mo>)</mo> </mrow> </mrow>
The thermal load demands of subsequent time system are
Wherein, QH tTo be the heat maintained needed for former temperature in system before temperature adjustment.
CN201711092907.5A 2017-11-08 2017-11-08 A kind of industrial park integrated energy system Optimized Operation containing control strategy and evaluation system and method Pending CN107918919A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201711092907.5A CN107918919A (en) 2017-11-08 2017-11-08 A kind of industrial park integrated energy system Optimized Operation containing control strategy and evaluation system and method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201711092907.5A CN107918919A (en) 2017-11-08 2017-11-08 A kind of industrial park integrated energy system Optimized Operation containing control strategy and evaluation system and method

Publications (1)

Publication Number Publication Date
CN107918919A true CN107918919A (en) 2018-04-17

Family

ID=61895284

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201711092907.5A Pending CN107918919A (en) 2017-11-08 2017-11-08 A kind of industrial park integrated energy system Optimized Operation containing control strategy and evaluation system and method

Country Status (1)

Country Link
CN (1) CN107918919A (en)

Cited By (21)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109190814A (en) * 2018-08-22 2019-01-11 国网山西省电力公司太原供电公司 A kind of business model calculation method of energy internet operators
CN109472407A (en) * 2018-11-02 2019-03-15 国网河北省电力有限公司雄安新区供电公司 The dispatching method and terminal device of energy device
CN109638859A (en) * 2018-12-13 2019-04-16 清华大学 A kind of optimal control method of multi-energy system critical point electrical power actual time safety correction
CN109885855A (en) * 2018-12-13 2019-06-14 中电智慧综合能源有限公司 Consider cold-hot-electricity trilogy supply energy source station stable state dispatching method of machine unit characteristic
CN110110897A (en) * 2019-04-11 2019-08-09 华北电力大学 A kind of integrated energy system optimization method considering different storage energy operation strategies
CN110276489A (en) * 2019-06-21 2019-09-24 华北电力大学 Minimum multipotency amount hinge distributed optimization dispatching method and system are damaged based on *
CN110298556A (en) * 2019-06-06 2019-10-01 天津大学 Energy value-based multi-energy cooperative park energy utilization efficiency control method
CN110705866A (en) * 2019-09-27 2020-01-17 新奥数能科技有限公司 Method for evaluating matching degree of energy production equipment configuration and load of comprehensive energy system
CN111144654A (en) * 2019-12-27 2020-05-12 深圳供电局有限公司 Park energy management configuration method and device based on Internet of things
CN111355230A (en) * 2018-12-24 2020-06-30 中国电力科学研究院有限公司 Optimized scheduling method and system for comprehensive energy system
CN111427268A (en) * 2020-04-28 2020-07-17 中煤科工(天津)清洁能源研究院有限公司 Coal mine energy optimization control system and optimization control method
CN111625961A (en) * 2020-05-26 2020-09-04 中国科学院工程热物理研究所 Comprehensive energy system collaborative optimization operation regulation and control method
CN111898876A (en) * 2020-07-13 2020-11-06 江苏方天电力技术有限公司 Comprehensive energy regulation and control method considering air pipe network storage
CN112132332A (en) * 2020-09-15 2020-12-25 上海绿巨人爱爵能源科技有限公司 Clean heating energy system optimization scheduling method
CN112186752A (en) * 2020-09-24 2021-01-05 国网辽宁省电力有限公司葫芦岛供电公司 Single-target multi-time-period accurate adjustment method
CN112966883A (en) * 2021-04-16 2021-06-15 浙江华云电力工程设计咨询有限公司 Comprehensive energy system operation optimization method and terminal equipment
CN113467397A (en) * 2021-07-06 2021-10-01 山东大学 Multi-layer hierarchical control system and method for comprehensive energy system
CN113496098A (en) * 2021-09-06 2021-10-12 阿里云计算有限公司 Energy consumption control method, computing equipment and medium for carbon emission reduction
CN114035434A (en) * 2021-11-22 2022-02-11 西南石油大学 Operation optimization method of gas-steam combined cycle power generation system
CN115347572A (en) * 2022-10-18 2022-11-15 武汉再来科技有限公司 Intelligent park energy control method
CN116227167A (en) * 2023-01-17 2023-06-06 国网山东省电力公司德州供电公司 Multi-target optimization method and system for multi-park comprehensive energy system

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101788788A (en) * 2010-01-05 2010-07-28 华北电力大学 Multi-target unit combination intelligent optimization system based on power g state identification
US20160172854A1 (en) * 2013-08-13 2016-06-16 Accenture Global Services Limited System for integrated multi-energy scheduling control in a micro-grid
CN105720610A (en) * 2016-04-14 2016-06-29 华北电力大学 Combination configuration method and device of power system unit
CN105743126A (en) * 2016-04-14 2016-07-06 华南理工大学 Microgrid energy management system capable of realizing load management
CN106447122A (en) * 2016-10-12 2017-02-22 国网上海市电力公司 Area type energy Internet and integrated optimization planning method thereof
CN106532751A (en) * 2016-11-18 2017-03-22 国电南瑞科技股份有限公司 Distributed power supply energy efficiency optimization method and system
CN107330549A (en) * 2017-06-22 2017-11-07 华北电力大学 Multi-energy complementary micro-grid energy management method containing multiagent

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101788788A (en) * 2010-01-05 2010-07-28 华北电力大学 Multi-target unit combination intelligent optimization system based on power g state identification
US20160172854A1 (en) * 2013-08-13 2016-06-16 Accenture Global Services Limited System for integrated multi-energy scheduling control in a micro-grid
CN105720610A (en) * 2016-04-14 2016-06-29 华北电力大学 Combination configuration method and device of power system unit
CN105743126A (en) * 2016-04-14 2016-07-06 华南理工大学 Microgrid energy management system capable of realizing load management
CN106447122A (en) * 2016-10-12 2017-02-22 国网上海市电力公司 Area type energy Internet and integrated optimization planning method thereof
CN106532751A (en) * 2016-11-18 2017-03-22 国电南瑞科技股份有限公司 Distributed power supply energy efficiency optimization method and system
CN107330549A (en) * 2017-06-22 2017-11-07 华北电力大学 Multi-energy complementary micro-grid energy management method containing multiagent

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
杨远昭 等: "内燃机冷热电联产系统优化管理调度仿真", 《计算机仿真》 *

Cited By (31)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109190814A (en) * 2018-08-22 2019-01-11 国网山西省电力公司太原供电公司 A kind of business model calculation method of energy internet operators
CN109190814B (en) * 2018-08-22 2021-05-11 国网山西省电力公司太原供电公司 Business mode calculation method for energy Internet operator
CN109472407A (en) * 2018-11-02 2019-03-15 国网河北省电力有限公司雄安新区供电公司 The dispatching method and terminal device of energy device
CN109885855B (en) * 2018-12-13 2023-06-23 中电智慧综合能源有限公司 Cold-heat-electricity triple energy station steady-state scheduling method considering unit characteristics
CN109638859A (en) * 2018-12-13 2019-04-16 清华大学 A kind of optimal control method of multi-energy system critical point electrical power actual time safety correction
CN109885855A (en) * 2018-12-13 2019-06-14 中电智慧综合能源有限公司 Consider cold-hot-electricity trilogy supply energy source station stable state dispatching method of machine unit characteristic
CN109638859B (en) * 2018-12-13 2020-09-01 清华大学 Optimization control method for real-time safety correction of electric power of gateway of multi-energy system
CN111355230A (en) * 2018-12-24 2020-06-30 中国电力科学研究院有限公司 Optimized scheduling method and system for comprehensive energy system
CN110110897A (en) * 2019-04-11 2019-08-09 华北电力大学 A kind of integrated energy system optimization method considering different storage energy operation strategies
CN110298556A (en) * 2019-06-06 2019-10-01 天津大学 Energy value-based multi-energy cooperative park energy utilization efficiency control method
CN110298556B (en) * 2019-06-06 2023-04-07 天津大学 Energy value-based multi-energy cooperative park energy utilization efficiency control method
CN110276489B (en) * 2019-06-21 2021-06-22 华北电力大学 exergy -loss-lowest-based multi-energy hub distributed optimization scheduling method and system
CN110276489A (en) * 2019-06-21 2019-09-24 华北电力大学 Minimum multipotency amount hinge distributed optimization dispatching method and system are damaged based on *
CN110705866B (en) * 2019-09-27 2022-04-29 新奥数能科技有限公司 Method for evaluating matching degree of energy production equipment configuration and load of comprehensive energy system
CN110705866A (en) * 2019-09-27 2020-01-17 新奥数能科技有限公司 Method for evaluating matching degree of energy production equipment configuration and load of comprehensive energy system
CN111144654A (en) * 2019-12-27 2020-05-12 深圳供电局有限公司 Park energy management configuration method and device based on Internet of things
CN111427268A (en) * 2020-04-28 2020-07-17 中煤科工(天津)清洁能源研究院有限公司 Coal mine energy optimization control system and optimization control method
CN111625961A (en) * 2020-05-26 2020-09-04 中国科学院工程热物理研究所 Comprehensive energy system collaborative optimization operation regulation and control method
CN111898876A (en) * 2020-07-13 2020-11-06 江苏方天电力技术有限公司 Comprehensive energy regulation and control method considering air pipe network storage
CN112132332A (en) * 2020-09-15 2020-12-25 上海绿巨人爱爵能源科技有限公司 Clean heating energy system optimization scheduling method
CN112186752A (en) * 2020-09-24 2021-01-05 国网辽宁省电力有限公司葫芦岛供电公司 Single-target multi-time-period accurate adjustment method
CN112186752B (en) * 2020-09-24 2024-07-02 国网辽宁省电力有限公司葫芦岛供电公司 Single-target multi-period precise adjustment method
CN112966883A (en) * 2021-04-16 2021-06-15 浙江华云电力工程设计咨询有限公司 Comprehensive energy system operation optimization method and terminal equipment
CN112966883B (en) * 2021-04-16 2024-03-19 浙江华云电力工程设计咨询有限公司 Comprehensive energy system operation optimization method and terminal equipment
CN113467397A (en) * 2021-07-06 2021-10-01 山东大学 Multi-layer hierarchical control system and method for comprehensive energy system
CN113467397B (en) * 2021-07-06 2022-10-04 山东大学 Multi-layer hierarchical control system and method for comprehensive energy system
CN113496098A (en) * 2021-09-06 2021-10-12 阿里云计算有限公司 Energy consumption control method, computing equipment and medium for carbon emission reduction
CN114035434A (en) * 2021-11-22 2022-02-11 西南石油大学 Operation optimization method of gas-steam combined cycle power generation system
CN114035434B (en) * 2021-11-22 2023-09-01 西南石油大学 Operation optimization method of gas-steam combined cycle power generation system
CN115347572A (en) * 2022-10-18 2022-11-15 武汉再来科技有限公司 Intelligent park energy control method
CN116227167A (en) * 2023-01-17 2023-06-06 国网山东省电力公司德州供电公司 Multi-target optimization method and system for multi-park comprehensive energy system

Similar Documents

Publication Publication Date Title
CN107918919A (en) A kind of industrial park integrated energy system Optimized Operation containing control strategy and evaluation system and method
Caresana et al. Energy and economic analysis of an ICE-based variable speed-operated micro-cogenerator
Gu et al. Residential CCHP microgrid with load aggregator: Operation mode, pricing strategy, and optimal dispatch
Wang et al. Game theory-based multi-agent capacity optimization for integrated energy systems with compressed air energy storage
Mago et al. Evaluation of a turbine driven CCHP system for large office buildings under different operating strategies
Feng et al. Energy, economy, and environment analysis and optimization on manufacturing plant energy supply system
Kong et al. Optimal operation of a micro-combined cooling, heating and power system driven by a gas engine
Fabrizio et al. An hourly modelling framework for the assessment of energy sources exploitation and energy converters selection and sizing in buildings
Rodriguez-Aumente et al. District heating and cooling for business buildings in Madrid
CN110163443A (en) Consider the micro- energy net Optimization Scheduling in the natural gas pressure regulating station of electric-gas integration requirement response
Wang et al. Analysis of inlet air throttling operation method for gas turbine in performance of CCHP system under different operation strategies
CN107807523A (en) Consider the Regional Energy internet multi-source coordination optimization operation reserve of tou power price
CN108932560A (en) Garden integrated energy system Optimization Scheduling based on Model Predictive Control
CN108510122B (en) Comprehensive energy system optimization method based on optimal double-constraint condition
Sun et al. Low‐carbon economic operation for integrated energy system considering carbon trading mechanism
Feng et al. Analysis of energy-matching performance and suitable users of conventional CCHP systems coupled with different energy storage systems
Yu et al. A bi-level scheduling strategy for integrated energy systems considering integrated demand response and energy storage co-optimization
CN110794684B (en) Method for configuring equipment capacity in combined cooling heating and power system
CN104766133A (en) Comprehensive optimization method for small biomass methane combined supply system of cooling, heating and power
CN107358345A (en) The distributed triple-generation system optimizing operation method of meter and dsm
CN107194543A (en) A kind of energy source station collocation method in Regional Energy planning and designing stage
CN115186902A (en) Regulating and controlling method, device, terminal and storage medium of greenhouse comprehensive energy system
CN112016825A (en) Centralized transaction optimization decision method of regional comprehensive energy system
CN113947236A (en) Integrated energy scheduling method, computing device and medium
Lisin et al. ECONOMIC ANALYSIS OF HEAT AND ELECTRICITY PRODUCTION IN THE DECENTRALISATION OF THE RUSSIAN ENERGY SECTOR.

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination