CN107800158A - A kind of electro thermal coupling multipotency streaming system Optimization Scheduling for taking into account economy and efficiency - Google Patents

A kind of electro thermal coupling multipotency streaming system Optimization Scheduling for taking into account economy and efficiency Download PDF

Info

Publication number
CN107800158A
CN107800158A CN201710963653.3A CN201710963653A CN107800158A CN 107800158 A CN107800158 A CN 107800158A CN 201710963653 A CN201710963653 A CN 201710963653A CN 107800158 A CN107800158 A CN 107800158A
Authority
CN
China
Prior art keywords
mrow
msub
electric
flow system
thermal coupling
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.)
Granted
Application number
CN201710963653.3A
Other languages
Chinese (zh)
Other versions
CN107800158B (en
Inventor
孙宏斌
郭庆来
王彬
薛屹洵
张伯明
吴文传
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.)
Tsinghua University
Original Assignee
Tsinghua 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 Tsinghua University filed Critical Tsinghua University
Priority to CN201710963653.3A priority Critical patent/CN107800158B/en
Publication of CN107800158A publication Critical patent/CN107800158A/en
Application granted granted Critical
Publication of CN107800158B publication Critical patent/CN107800158B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
    • H02J3/48—Controlling the sharing of the in-phase component
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06312—Adjustment or analysis of established resource schedule, e.g. resource or task levelling, or dynamic rescheduling
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/06—Energy or water supply
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/04—Circuit arrangements for ac mains or ac distribution networks for connecting networks of the same frequency but supplied from different sources
    • H02J3/06—Controlling transfer of power between connected networks; Controlling sharing of load between connected networks
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
    • Y02E40/70—Smart grids as climate change mitigation technology in the energy generation sector
    • 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
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00—Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

Landscapes

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

Abstract

The present invention proposes a kind of electro thermal coupling multipotency streaming system Optimization Scheduling for taking into account economy and efficiency, belongs to operation of power networks and the control technology field of the form containing various energy resources.This method sets the equation and inequality constraints condition of power network and heat supply network steady state Safe Operation in electro thermal coupling multipotency streaming system first；The economy objectives function and energetic efficiency objectives function of electro thermal coupling multipotency streaming system Optimized Operation are established respectively；The scheduling scheme using economy as target, and the scheduling scheme using efficiency as target are tried to achieve respectively；Two schemes are substituted into corresponding object function respectively and interact calculating, the electro thermal coupling multipotency streaming system Optimal Operation Model for taking into account economy and efficiency is established using result of calculation；To model solution, the final Optimized Operation scheme for obtaining electro thermal coupling multipotency streaming system.The present invention considers that the close-coupled of electric heating system with influencing each other, realizes the Optimized Operation for the electro thermal coupling multipotency streaming system for taking into account economy and efficiency.

Description

Electric-thermal coupling multi-energy flow system optimal scheduling method considering economy and energy efficiency
Technical Field
The invention relates to an electric-thermal coupling multi-energy flow system optimal scheduling method giving consideration to economy and energy efficiency, and belongs to the technical field of operation and control of power grids containing multiple energy forms.
Background
The multi-energy flow system is an important carrier of an energy internet, and deeply fuses sources, networks and loads of various types of energy such as cold, heat, electricity, gas and the like in the process of design, operation and management, and performs multi-energy cooperative optimization in a series of links such as production, transmission, conversion, storage and consumption. Compare the energy system that tradition was split each other, through the multipotency in coordination, the benefit that multipotency stream system brought includes: 1) through the cascade development and utilization and intelligent management of the multi-type energy, the energy consumption and waste can be reduced, the comprehensive energy utilization efficiency is improved, and the total energy utilization cost is reduced; 2) the characteristic difference, complementation and conversion of different energy sources are utilized, so that the capacity of consuming intermittent renewable energy sources is improved; 3) through the supply, complementation and coordination control of multiple energy sources, the reliability of energy supply is improved, and more adjustable and controllable resources are provided for the operation of a power grid; 4) through collaborative planning and construction of the multi-energy flow system, repeated construction and waste of infrastructure can be reduced, and the asset utilization rate is improved.
The multi-energy flow system has considerable benefits on one hand, and on the other hand, the originally complex energy system is more complex. The multi-energy flow system is composed of a plurality of energy flow subsystems, the interaction and influence among the energy flow subsystems enable the complexity of the multi-energy flow system to be increased remarkably, a plurality of new characteristics are embodied, the traditional method for analyzing each energy flow independently is difficult to adapt to new requirements, and a new multi-energy flow analysis method needs to be developed urgently. In China, more and more coupling elements such as a cogeneration unit, a heat pump, an electric boiler and the like objectively enhance the interconnection between electricity and heat, promote the development of an electricity-heat coupling multi-energy flow system and also provide new requirements for the operation and control technology of the electricity-heat coupling multi-energy flow system.
The optimal scheduling of the multi-energy system refers to that when structural parameters and load conditions of the system are given, available control variables (such as output power of a generator in a power grid, lift of a pump in a heat grid and the like) are adjusted to find load flow distribution which can meet all operation constraint conditions and enable certain performance indexes (such as total operation cost or network loss) of the system to reach an optimal value. The current research is mainly focused on a single independent system, and mostly only focuses on the economy of the operation of the multi-energy flow system, so that in order to respond to the central requirement for improving the energy utilization efficiency, promoting the energy production and energy consumption, and fully exerting the advantage of the cascade utilization of the energy of the multi-energy flow system, an electric-thermal coupling multi-energy flow system optimal scheduling method considering both economy and energy efficiency needs to be researched.
Disclosure of Invention
The invention aims to make up for the blank of the prior art and provides an optimal scheduling method of an electric-thermal coupling multi-energy flow system, which gives consideration to economy and energy efficiency. According to the invention, the economical and efficient operation of the electro-thermal coupling multi-energy flow system is realized by establishing the optimal scheduling model of the electro-thermal coupling multi-energy flow system which gives consideration to economy and energy efficiency, and the practical value is very high.
The invention provides an electric-thermal coupling multi-energy flow system optimal scheduling method giving consideration to economy and energy efficiency, which comprises the following steps:
the invention provides an electric-thermal coupling multi-energy flow system optimal scheduling method giving consideration to economy and energy efficiency, which is characterized by comprising the following steps of:
1) setting an equality constraint condition of steady-state safe operation of a power grid and a heat supply network in the electric-thermal coupling multi-energy flow system; the method specifically comprises the following steps:
1-1) power grid flow equation constraints in an electro-thermal coupling multi-energy flow system; the expression is as follows:
wherein, PiInjecting active power, Q, for node i in the gridiInjecting reactive power, theta, for node i in the gridi、θjThe voltage phase angles of the node i and the node j, UiAnd UjVoltage amplitudes, G, of nodes i and j, respectivelyijFor power grid sectionReal part of the ith row and jth column element of the point admittance matrix Y, BijAn imaginary part of an ith row element and a jth column element of the grid node admittance matrix Y is obtained;
1-2) pipeline pressure loss constraint of a heat supply network in an electro-thermal coupling multi-energy flow system; the expression is as follows:
ΔHl＝Slml|ml| (2)
wherein, Δ HlFor the pressure loss of the first pipe in the heat network, SlIs the resistance characteristic coefficient of the first pipeline, 10Pa/(kg/s)2≤Sl≤500Pa/(kg/s)2，mlThe flow rate of the first pipeline is;
1-3) the hydraulic characteristic constraint of a circulating pump of a heat supply network in the electro-thermal coupling multi-energy flow system; the expression is as follows:
HP＝H0-Spm2(3)
wherein HPFor circulating pump head, H0Is the static lift of the circulating pump SpIs the resistance coefficient of the circulating pump, and m is the flow rate flowing through the circulating pump;
1-4) heat loss constraint of a heat pipe in an electric-thermal coupling multi-energy flow system; the expression is as follows:
wherein, Te,lIs the end temperature, T, of the first pipe in the heat supply networkh,lIs the head end temperature, T, of the first pipelinea,lIs the ambient temperature of the first pipeline, LlLength of the first pipe, CpIs the specific heat capacity of water, and lambda is the heat transfer coefficient of the unit length of the pipeline;
1-5) temperature constraint of a multi-pipeline junction in a heat supply network of an electro-thermal coupling multi-energy flow system; the expression is as follows:
wherein,to the flow out of the multi-channel junction,for flows into a multi-pipe junction, ToutTemperature of water flowing out of a junction of multiple pipes, TinFor the temperature of the water flowing into the junction of the pipes, QJIs the thermal power of the multi-channel junction;
1-6) coupling constraint between a power grid and a heat supply network in an electric-thermal coupling multi-energy flow system coupled by an electric-thermal combined supply unit; expression:
wherein P is the active power of the electricity-heat cogeneration unit, q is the thermal power of the electricity-heat cogeneration unit, and PkOperating the abscissa, Q, of the k-th vertex of the feasible region approximation polygon for the combined heat and power plantkoperating the ordinate, alpha, of the k-th vertex of the feasible region approximation polygon for the combined heat and power plantkIn order to combine the coefficients of the coefficients,NK is the number of vertexes of an approximate polygon of an operation feasible region of the electricity-heat cogeneration unit;
1-7) coupling constraint between a power grid and a heat supply network in an electric-thermal coupling multi-energy flow system coupled through a circulating pump; expression:
wherein, PPactive power consumed by the circulation pump, g is the acceleration of gravity, ηPFor the efficiency of the circulation pump, mPFor the flow rate through the circulating pump, HPThe lift of the circulating pump;
1-8) coupling constraints between the power grid and the heat supply network in an electro-thermal coupling multi-energy flow system coupled by a heat pump; the expression is as follows:
Php＝ChpQhp(8)
wherein Q ishpFor the thermal power, P, generated by a heat pump in an electro-thermally coupled multi-energy flow systemhpElectric power consumed for heat pumps, ChpThe heat generating efficiency of the heat pump;
2) the method for setting the inequality constraint conditions of steady-state safe operation of the power grid and the heat supply network in the electric-thermal coupling multi-energy flow system specifically comprises the following steps:
2-1) node voltage amplitude constraint;
voltage amplitude U of ith node in power grid of electric-thermal coupling multi-energy flow systemiLower and upper limit values of set safe operation voltage of power gridU i、In the middle of the operation, the operation is carried out,U iis 0.95 times the rated voltage of the ith node,1.05 times of rated voltage of the ith node: the expression is as follows:
2-2) line transmission capacity constraints;
the transmission capacity of the first line in the power grid of the electric-thermal coupling multi-energy flow system is less than or equal to the maximum value of the set safe operation transmission capacity of the power gridThe expression is as follows:
2-3) climbing constraint of an electricity-heat combined supply unit or active power in a power grid of the electricity-heat combined multi-energy flow system; the expression is as follows:
wherein,andrespectively the upward climbing speed and the downward climbing speed of the active power of the b-th station electric-heat combined supply unit, wherein delta t is the time interval of two adjacent scheduling periods, pb,tAnd pb,t-1Respectively setting the active power of the b-th electric-thermal cogeneration unit in the t-th scheduling period and the active power of the t-1-th scheduling period;
2-4) climbing constraint of active power of a non-gas turbine set in a power grid of the electro-thermal coupling multi-energy flow system; the expression is as follows:
wherein,andupward climbing speeds of active power of x-th thermal power generating unit respectivelyRate and downward ramp rate, px,tAnd px,t-1Respectively setting the active power of the x-th thermal power generating unit in the t-th scheduling period and the active power of the t-1 st scheduling period;
2-5) restraining the safe operation of the electricity-heat cogeneration unit;
active power p of the b-th electric-thermal combined supply unit in the power grid of the electric-thermal coupling multi-energy flow systembThe upper limit value and the lower limit value of the active power of the b-th station electric-heat cogeneration unit are safely operated in the set power grid p bTo (c) to (d); the expression is as follows:
2-6) safety operation constraint of the thermal power generating unit;
active power p of x-th thermal power generating unit in power grid of electric-thermal coupling multi-energy flow systemxUpper and lower limit values of active power of x-th thermal power generating unit in set power grid safe operation p xTo (c) to (d); the expression is as follows:
2-7) heat supply network pipeline flow restriction;
flow m of the first pipeline in the heat supply network of the electric-thermal coupling multi-energy flow systemlIs less than or equal to the upper limit value of the safe operation flow of the heat supply networkThe expression is as follows:
2-8) restricting the return water temperature of the heat exchange station;
the return water temperature T of the heat exchange station in the heat supply network of the electric-thermal coupling multi-energy flow system is at the upper limit value and the lower limit value of the set safe operation return water temperature of the heat supply network TTo (c) to (d); the expression is as follows:
3) establishing an economic objective function of optimal scheduling of the electro-thermal coupling multi-energy flow system by taking the lowest cost as a target; the expression is as follows:
wherein p isbThe active power of the b-th electric-thermal combined supply unit in the electric-thermal coupling multi-energy flow system, qbThe thermal power of the b-th electric-thermal combined supply unit in the electric-thermal coupling multi-energy flow system is provided, N is the total number of the electric-thermal combined supply units in the electric-thermal coupling multi-energy flow system, and F (p)b,qb) The running cost p of the b-th electric-thermal combined supply unit in the electric-thermal coupling multi-energy flow systemxIs the active power of the x-th thermal power generating unit in an electric-thermal coupling multi-energy flow system, NTUThe total number of the thermoelectric generator sets in the electric-thermal coupling multi-energy flow system, FTU(px) The operation cost of the x-th thermal power generating unit in the electro-thermal coupling multi-energy flow system is calculated;the total operating cost of the multi-energy flow system;
4) establishing an energy efficiency objective function for optimal scheduling of the electric-thermal coupling multi-energy flow system by taking the highest energy efficiency as a target, wherein the expression is as follows:
wherein, PL(t)、CL(t)、QL(t) the electric load power, the cold load power and the heat load power of the multi-energy-flow system at the time t, subscript re, coal and gas respectively represent that the energy sources are renewable energy, coal and natural gas, ξ is an energy non-renewable coefficient, the value is 0 for the renewable energy, non-renewable energy is 1, ν (t) is the permeability of different primary energy sources in electricity purchase outside the time t, ef is the generating efficiency of a corresponding unit, P is the power generation efficiency of the corresponding unitbuy(t) purchasing electric energy power of a power grid for the multi-energy-flow system at the time t; pre(t) the renewable energy power which is accessed by the multi-energy-flow system at the time t without a power grid is in kW unit; f (t) is the lower heating value of the corresponding fuel consumed,energy efficiency for a multi-energy flow system;
5) an internal point method is adopted, an economic objective function of a formula (17) is used as an objective function, formulas (1) to (16) are used as constraint conditions, active power and thermal power of each electric-thermal combined supply unit in the electric-thermal coupling multi-energy flow system are obtained through solving, and an electric-thermal coupling multi-energy flow system scheduling scheme taking economy as a target is obtained;
an internal point method is adopted, an energy efficiency objective function of a formula (18) is used as an objective function, formulas (1) to (16) are used as constraint conditions, active power and thermal power of each electric-thermal combined supply unit in the electric-thermal coupling multi-energy flow system are obtained through solving, and an electric-thermal coupling multi-energy flow system scheduling scheme with energy efficiency as a target is obtained;
6) substituting the electric-thermal coupling multi-energy flow system scheduling scheme which is obtained in the step 5) and aims at the economy into an energy efficiency objective function of an equation (18), and recording the result as the resultSubstituting the electric-thermal coupling multi-energy flow system scheduling scheme which is obtained in the step 5) and aims at energy efficiency into an economic objective function of an equation (17), and recording the result as
7) Establishing an electric-thermal coupling multi-energy flow system optimization scheduling objective function which gives consideration to economy and energy efficiency; the expression is as follows:
8) establishing an electric-thermal coupling multi-energy flow system optimization scheduling model considering economy and energy efficiency by taking the formula (19) as an objective function and taking the formulas (1) to (16) as constraint conditions; and solving the model by adopting an interior point method to obtain the active power and the thermal power of each electro-thermal coupling unit in the electro-thermal coupling multi-energy flow system, and using the active power and the thermal power as an optimal scheduling scheme of the electro-thermal coupling multi-energy flow system.
The invention provides an electric-thermal coupling multi-energy flow system optimal scheduling method giving consideration to economy and energy efficiency, which has the characteristics and effects that:
the method considers the close coupling and the mutual influence of the electric-thermal system, and realizes the optimal scheduling of the electric-thermal coupling multi-energy flow system which gives consideration to economy and energy efficiency. Compared with the independent optimization scheduling analysis considering the economy of the electric and thermal systems, the method not only realizes the cooperative optimization of the electric and thermal systems, but also considers the operation economy and the high efficiency of the electric-thermal coupling multi-energy flow system. The method can be applied to the scheduling plan formulation of the electro-thermal coupling multi-energy flow system, is beneficial to reducing the operation cost and simultaneously improves the energy utilization efficiency of the electro-thermal coupling multi-energy flow system.
Detailed Description
The invention provides an electric-thermal coupling multi-energy flow system optimal scheduling method giving consideration to economy and energy efficiency, which is further described in detail below by combining specific embodiments.
The invention provides an electric-thermal coupling multi-energy flow system optimal scheduling method giving consideration to economy and energy efficiency, which comprises the following steps:
1) setting an equality constraint condition of steady-state safe operation of a power grid and a heat supply network in the electric-thermal coupling multi-energy flow system; the method specifically comprises the following steps:
1-1) power grid flow equation constraints in an electro-thermal coupling multi-energy flow system; the expression is as follows:
wherein, PiInjecting active power, Q, for node i in the gridiInjecting reactive power, theta, for node i in the gridi、θjThe voltage phase angles of the node i and the node j, UiAnd UjVoltage amplitudes, G, of nodes i and j, respectivelyijIs the real part of the ith row and jth column elements of the grid node admittance matrix Y, BijObtaining imaginary parts of ith row and jth column elements of a power grid node admittance matrix Y from an energy management system of the electro-thermal coupling multi-energy flow system;
1-2) pipeline pressure loss constraint of a heat supply network in an electro-thermal coupling multi-energy flow system; the expression is as follows:
ΔHl＝Slml|ml| (2)
wherein, Δ HlFor the pressure loss of the first pipe in the heat network, SlIs the coefficient of the resistance characteristic of the first pipe, SlThe value range is 10Pa/(kg/s)2≤Sl≤500Pa/(kg/s)2，mlThe flow rate of the first pipeline is;
1-3) the hydraulic characteristic constraint of a circulating pump of a heat supply network in the electro-thermal coupling multi-energy flow system; the expression is as follows:
HP＝H0-Spm2(3)
wherein HPFor circulating pump head, H0Is the static lift of the circulating pump SpIs the coefficient of resistance of the circulating pump, H0And SpThe flow rate is obtained by a delivery specification of the circulating pump, and m is the flow rate flowing through the circulating pump;
1-4) heat loss constraint of a heat pipe in an electric-thermal coupling multi-energy flow system; the expression is as follows:
wherein, Te,lIs the end temperature, T, of the first pipe in the heat supply networkh,lIs the head end temperature, T, of the first pipelinea,lM is the ambient temperature of the first pipelIs the flow rate of the first pipeline, LlLength of the first pipe, CpThe specific heat capacity of water is 4182 joules/(kilogram-degree centigrade), lambda is the heat transfer coefficient of the unit length of the pipeline, and lambda is obtained from an energy management system of the electro-thermal coupling multi-energy flow system;
1-5) temperature constraint of a multi-pipeline junction in a heat supply network of an electro-thermal coupling multi-energy flow system; the expression is as follows:
wherein,to the flow out of the multi-channel junction,for flow into a multi-pipe junction, ToutTo flow out moreTemperature of water at the junction of the pipes, TinFor the temperature of the water flowing into the junction of the pipes, QJIs the thermal power of the multi-channel junction;
1-6) coupling constraint between a power grid and a heat supply network in an electric-thermal coupling multi-energy flow system coupled by an electric-thermal combined supply unit; expression:
wherein P is the active power of the electricity-heat cogeneration unit, q is the thermal power of the electricity-heat cogeneration unit, and PkOperating the abscissa, Q, of the k-th vertex of the feasible region approximation polygon for the combined heat and power plantkoperating the ordinate, alpha, of the k-th vertex of the feasible region approximation polygon for the combined heat and power plantkIn order to combine the coefficients of the coefficients,NK is the number of vertexes of an approximate polygon of the operation feasible region of the electric-thermal cogeneration unit, and the approximate polygon of the operation feasible region of the electric-thermal cogeneration unit is obtained from a delivery specification of the electric-thermal cogeneration unit;
1-7) coupling constraint between a power grid and a heat supply network in an electric-thermal coupling multi-energy flow system coupled through a circulating pump; expression:
wherein, PPactive power consumed by the circulation pump, g is the acceleration of gravity, ηPfor efficiency of the circulation pump, etaPHas a value range of 0 to 1, mPFor the flow rate through the circulating pump, HPThe lift of the circulating pump;
1-8) coupling constraints between the power grid and the heat supply network in an electro-thermal coupling multi-energy flow system coupled by a heat pump; the expression is as follows:
Php＝ChpQhp(8)
wherein Q ishpFor the thermal power, P, generated by a heat pump in an electro-thermally coupled multi-energy flow systemhpElectric power consumed for heat pumps, ChpFor heat-generating efficiency of heat pumps, ChpObtained from the factory specifications of the heat pump;
2) the method for setting the inequality constraint conditions of steady-state safe operation of the power grid and the heat supply network in the electric-thermal coupling multi-energy flow system specifically comprises the following steps:
2-1) node voltage amplitude constraint;
voltage amplitude U of ith node in power grid of electric-thermal coupling multi-energy flow systemiLower and upper limit values of set safe operation voltage of power gridU i、In the middle of the operation, the operation is carried out,U iis 0.95 times the rated voltage of the ith node,1.05 times of rated voltage of the ith node: the expression is as follows:
2-2) line transmission capacity constraints;
the transmission capacity of the first line in the power grid of the electric-thermal coupling multi-energy flow system is less than or equal to the maximum value of the set safe operation transmission capacity of the power gridThe expression is as follows:
2-3) climbing constraint of an electricity-heat combined supply unit or active power in a power grid of the electricity-heat combined multi-energy flow system; the expression is as follows:
wherein,andrespectively the upward climbing speed and the downward climbing speed of the active power of the b-th electric-thermal cogeneration unit,andobtained from the factory specifications of the electric-thermal combined supply unit, delta t is the time interval of two adjacent scheduling time periods, pb,tAnd pb,t-1Respectively setting the active power of the b-th electric-thermal cogeneration unit in the t-th scheduling period and the active power of the t-1-th scheduling period;
2-4) climbing constraint of active power of a non-gas turbine set in a power grid of the electro-thermal coupling multi-energy flow system; the expression is as follows:
wherein,andthe upward climbing speed and the downward climbing speed of the active power of the x-th thermal power generating unit are respectively,andobtained from the factory specifications of the thermal power generating unit, delta t is the time interval of two adjacent scheduling time periods, px,tAnd px,t-1Respectively setting the active power of the x-th thermal power generating unit in the t-th scheduling period and the active power of the t-1 st scheduling period;
2-5) restraining the safe operation of the electricity-heat cogeneration unit;
active power p of the b-th electric-thermal combined supply unit in the power grid of the electric-thermal coupling multi-energy flow systembThe upper limit value and the lower limit value of the active power of the b-th station electric-heat cogeneration unit are safely operated in the set power grid p bTo (c) to (d); the expression is as follows:
2-6) safety operation constraint of the thermal power generating unit;
active power p of x-th thermal power generating unit in power grid of electric-thermal coupling multi-energy flow systemxUpper and lower limit values of active power of x-th thermal power generating unit in set power grid safe operation p xTo (c) to (d); the expression is as follows:
2-7) heat supply network pipeline flow restriction;
of electro-thermally coupled multi-energy flow systemsFlow m of the first pipeline in the heat supply networklIs less than or equal to the upper limit value of the safe operation flow of the heat supply networkThe expression is as follows:
2-8) restricting the return water temperature of the heat exchange station;
the return water temperature T of the heat exchange station in the heat supply network of the electric-thermal coupling multi-energy flow system is at the upper limit value and the lower limit value of the set safe operation return water temperature of the heat supply network TTo (c) to (d); the expression is as follows:
3) establishing an economic objective function of optimal scheduling of the electro-thermal coupling multi-energy flow system by taking the lowest cost as a target; the expression is as follows:
wherein p isbThe active power of the b-th electric-thermal combined supply unit in the electric-thermal coupling multi-energy flow system, qbThe thermal power of the b-th electric-thermal combined supply unit in the electric-thermal coupling multi-energy flow system is provided, N is the total number of the electric-thermal combined supply units in the electric-thermal coupling multi-energy flow system, and F (p)b,qb) The running cost p of the b-th electric-thermal combined supply unit in the electric-thermal coupling multi-energy flow systemxIs the active power of the x-th thermal power generating unit in an electric-thermal coupling multi-energy flow system, NTUThe total number of the thermoelectric generator sets in the electric-thermal coupling multi-energy flow system, FTU(px) Is electrically-thermally coupled toThe operation cost of the x-th thermal power generating unit in the energy flow system;the total operation cost of the multi-energy flow system.
4) Establishing an energy efficiency objective function for optimal scheduling of the electric-thermal coupling multi-energy flow system by taking the highest energy efficiency as a target, wherein the expression is as follows:
wherein, PL(t)、CL(t)、QL(t) the electric, cold and heat load power of the multi-energy flow system at the time t, subscripts re, coal and gas respectively represent that the energy sources are renewable energy, coal and natural gas, the same applies below, xi is the coefficient of non-renewable energy, the value is 0 for the renewable energy, the value is 1 for the non-renewable energy, v (t) is the permeability (the value is between 0 and 1) of different primary energy sources in the electricity purchase outside the time t, ef is the generating efficiency of the corresponding unit, P is the generating efficiency of the corresponding unitbuy(t) purchasing electric energy power of a power grid for the multi-energy-flow system at the time t; pre(t) the renewable energy power which is accessed by the multi-energy-flow system at the time t without a power grid is in kW unit; f (t) is the lower calorific value of the corresponding fuel consumed;energy efficiency for a multi-energy flow system.
5) An internal point method is adopted, an economic objective function of a formula (17) is used as an objective function, formulas (1) to (16) are used as constraint conditions, active power and thermal power of each electric-thermal combined supply unit in the electric-thermal coupling multi-energy flow system are obtained through solving, and an electric-thermal coupling multi-energy flow system scheduling scheme taking economy as a target is obtained;
an internal point method is adopted, an energy efficiency objective function of a formula (18) is used as an objective function, formulas (1) to (16) are used as constraint conditions, active power and thermal power of each electric-thermal combined supply unit in the electric-thermal coupling multi-energy flow system are obtained through solving, and an electric-thermal coupling multi-energy flow system scheduling scheme with energy efficiency as a target is obtained;
6) substituting the electric-thermal coupling multi-energy flow system scheduling scheme which is obtained in the step 5) and aims at the economy into an energy efficiency objective function of an equation (18), and recording the result as the resultSubstituting the electric-thermal coupling multi-energy flow system scheduling scheme which is obtained in the step 5) and aims at energy efficiency into an economic objective function of an equation (17), and recording the result as
7) Based on a cooperative game, establishing an electric-thermal coupling multi-energy flow system optimized dispatching objective function which gives consideration to economy and energy efficiency; the expression is as follows:
8) establishing an electric-thermal coupling multi-energy flow system optimization scheduling model considering economy and energy efficiency by taking the formula (19) as an objective function and taking the formulas (1) to (16) as constraint conditions; and solving the model by adopting an interior point method to obtain the active power and the thermal power of each electro-thermal coupling unit in the electro-thermal coupling multi-energy flow system, and using the active power and the thermal power as an optimal scheduling scheme of the electro-thermal coupling multi-energy flow system.

Claims (1)

1. An electric-thermal coupling multi-energy flow system optimal scheduling method giving consideration to economy and energy efficiency is characterized by comprising the following steps:
1) setting an equality constraint condition of steady-state safe operation of a power grid and a heat supply network in the electric-thermal coupling multi-energy flow system; the method specifically comprises the following steps:
1-1) power grid flow equation constraints in an electro-thermal coupling multi-energy flow system; the expression is as follows:
<mrow> <mtable> <mtr> <mtd> <mrow> <msup> <mi>P</mi> <mi>i</mi> </msup> <mo>=</mo> <msub> <mi>U</mi> <mi>i</mi> </msub> <munder> <mo>&amp;Sigma;</mo> <mrow> <mi>j</mi> <mo>&amp;Element;</mo> <mi>i</mi> </mrow> </munder> <msub> <mi>U</mi> <mi>j</mi> </msub> <mrow> <mo>(</mo> <msub> <mi>G</mi> <mrow> <mi>i</mi> <mi>j</mi> </mrow> </msub> <mi>cos</mi> <mo>(</mo> <mrow> <msub> <mi>&amp;theta;</mi> <mi>i</mi> </msub> <mo>-</mo> <msub> <mi>&amp;theta;</mi> <mi>j</mi> </msub> </mrow> <mo>)</mo> <mo>+</mo> <msub> <mi>B</mi> <mrow> <mi>i</mi> <mi>j</mi> </mrow> </msub> <mi>sin</mi> <mo>(</mo> <mrow> <msub> <mi>&amp;theta;</mi> <mi>i</mi> </msub> <mo>-</mo> <msub> <mi>&amp;theta;</mi> <mi>j</mi> </msub> </mrow> <mo>)</mo> <mo>)</mo> </mrow> <mo>,</mo> </mrow> </mtd> <mtd> <mrow> <mi>i</mi> <mo>,</mo> <mi>j</mi> <mo>=</mo> <mn>1</mn> <mo>,</mo> <mn>2</mn> <mo>,</mo> <mn>...</mn> <mi>n</mi> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <msup> <mi>Q</mi> <mi>i</mi> </msup> <mo>=</mo> <msub> <mi>U</mi> <mi>i</mi> </msub> <munder> <mo>&amp;Sigma;</mo> <mrow> <mi>j</mi> <mo>&amp;Element;</mo> <mi>i</mi> </mrow> </munder> <msub> <mi>U</mi> <mi>j</mi> </msub> <mrow> <mo>(</mo> <msub> <mi>G</mi> <mrow> <mi>i</mi> <mi>j</mi> </mrow> </msub> <mi>sin</mi> <mo>(</mo> <mrow> <msub> <mi>&amp;theta;</mi> <mi>i</mi> </msub> <mo>-</mo> <msub> <mi>&amp;theta;</mi> <mi>j</mi> </msub> </mrow> <mo>)</mo> <mo>-</mo> <msub> <mi>B</mi> <mrow> <mi>i</mi> <mi>j</mi> </mrow> </msub> <mi>cos</mi> <mo>(</mo> <mrow> <msub> <mi>&amp;theta;</mi> <mi>i</mi> </msub> <mo>-</mo> <msub> <mi>&amp;theta;</mi> <mi>j</mi> </msub> </mrow> <mo>)</mo> <mo>)</mo> </mrow> <mo>,</mo> </mrow> </mtd> <mtd> <mrow> <mi>i</mi> <mo>,</mo> <mi>j</mi> <mo>=</mo> <mn>1</mn> <mo>,</mo> <mn>2</mn> <mo>,</mo> <mn>...</mn> <mi>n</mi> </mrow> </mtd> </mtr> </mtable> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>1</mn> <mo>)</mo> </mrow> </mrow>
wherein, PiInjecting active power, Q, for node i in the gridiInjecting reactive power, theta, for node i in the gridi、θjThe voltage phase angles of the node i and the node j, UiAnd UjVoltage amplitudes, G, of nodes i and j, respectivelyijIs the real part of the ith row and jth column elements of the grid node admittance matrix Y, BijAn imaginary part of an ith row element and a jth column element of the grid node admittance matrix Y is obtained;
1-2) pipeline pressure loss constraint of a heat supply network in an electro-thermal coupling multi-energy flow system; the expression is as follows:
ΔHl＝Slml|ml| (2)
wherein, Δ HlFor the pressure loss of the first pipe in the heat network, SlIs the resistance characteristic coefficient of the first pipeline, 10Pa/(kg/s)2≤Sl≤500Pa/(kg/s)2，mlThe flow rate of the first pipeline is;
1-3) the hydraulic characteristic constraint of a circulating pump of a heat supply network in the electro-thermal coupling multi-energy flow system; the expression is as follows:
HP＝H0-Spm2(3)
wherein HPFor circulating pump head, H0Is the static lift of the circulating pump SpIs the resistance coefficient of the circulating pump, and m is the flow rate flowing through the circulating pump;
1-4) heat loss constraint of a heat pipe in an electric-thermal coupling multi-energy flow system; the expression is as follows:
<mrow> <msub> <mi>T</mi> <mrow> <mi>e</mi> <mo>,</mo> <mi>l</mi> </mrow> </msub> <mo>=</mo> <mrow> <mo>(</mo> <msub> <mi>T</mi> <mrow> <mi>h</mi> <mo>,</mo> <mi>l</mi> </mrow> </msub> <mo>-</mo> <msub> <mi>T</mi> <mrow> <mi>a</mi> <mo>,</mo> <mi>l</mi> </mrow> </msub> <mo>)</mo> </mrow> <msup> <mi>e</mi> <mrow> <mo>-</mo> <mfrac> <mrow> <msub> <mi>&amp;lambda;L</mi> <mi>l</mi> </msub> </mrow> <mrow> <msub> <mi>C</mi> <mi>p</mi> </msub> <msub> <mi>m</mi> <mi>l</mi> </msub> </mrow> </mfrac> </mrow> </msup> <mo>+</mo> <msub> <mi>T</mi> <mrow> <mi>a</mi> <mo>,</mo> <mi>l</mi> </mrow> </msub> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>4</mn> <mo>)</mo> </mrow> </mrow>
wherein, Te,lIs the end temperature, T, of the first pipe in the heat supply networkh,lIs the head end temperature, T, of the first pipelinea,lIs the ambient temperature of the first pipeline, LlLength of the first pipe, CpIs the specific heat capacity of water, and lambda is the heat transfer coefficient of the unit length of the pipeline;
1-5) temperature constraint of a multi-pipeline junction in a heat supply network of an electro-thermal coupling multi-energy flow system; the expression is as follows:
<mrow> <mo>(</mo> <mo>&amp;Sigma;</mo> <msub> <mover> <mi>m</mi> <mo>&amp;CenterDot;</mo> </mover> <mrow> <mi>o</mi> <mi>u</mi> <mi>t</mi> </mrow> </msub> <mo>)</mo> <msub> <mi>T</mi> <mrow> <mi>o</mi> <mi>u</mi> <mi>t</mi> </mrow> </msub> <mo>=</mo> <mo>&amp;Sigma;</mo> <mo>(</mo> <msub> <mover> <mi>m</mi> <mo>&amp;CenterDot;</mo> </mover> <mrow> <mi>i</mi> <mi>n</mi> </mrow> </msub> <msub> <mi>T</mi> <mrow> <mi>i</mi> <mi>n</mi> </mrow> </msub> <mo>)</mo> <mo>-</mo> <msub> <mi>Q</mi> <mi>J</mi> </msub> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>5</mn> <mo>)</mo> </mrow> </mrow>
wherein,to the flow out of the multi-channel junction,for flow into a multi-pipe junction, ToutTemperature of water flowing out of a junction of multiple pipes, TinFor the temperature of the water flowing into the junction of the pipes, QJIs the thermal power of the multi-channel junction;
1-6) coupling constraint between a power grid and a heat supply network in an electric-thermal coupling multi-energy flow system coupled by an electric-thermal combined supply unit; expression:
<mrow> <mi>p</mi> <mo>=</mo> <msubsup> <mo>&amp;Sigma;</mo> <mrow> <mi>k</mi> <mo>=</mo> <mn>1</mn> </mrow> <mrow> <mi>N</mi> <mi>K</mi> </mrow> </msubsup> <msup> <mi>&amp;alpha;</mi> <mi>k</mi> </msup> <msup> <mi>P</mi> <mi>k</mi> </msup> <mo>,</mo> <mi>q</mi> <mo>=</mo> <msubsup> <mo>&amp;Sigma;</mo> <mrow> <mi>k</mi> <mo>=</mo> <mn>1</mn> </mrow> <mrow> <mi>N</mi> <mi>K</mi> </mrow> </msubsup> <msup> <mi>&amp;alpha;</mi> <mi>k</mi> </msup> <msup> <mi>Q</mi> <mi>k</mi> </msup> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>6</mn> <mo>)</mo> </mrow> </mrow>
wherein P is the active power of the electricity-heat cogeneration unit, q is the thermal power of the electricity-heat cogeneration unit, and PkOperating the abscissa, Q, of the k-th vertex of the feasible region approximation polygon for the combined heat and power plantkoperating the ordinate, alpha, of the k-th vertex of the feasible region approximation polygon for the combined heat and power plantkIn order to combine the coefficients of the coefficients,0≤αkNK is the number of vertexes of an approximate polygon of the operation feasible region of the electricity-heat combined supply unit, and is not more than 1;
1-7) coupling constraint between a power grid and a heat supply network in an electric-thermal coupling multi-energy flow system coupled through a circulating pump; expression:
<mrow> <msub> <mi>P</mi> <mi>p</mi> </msub> <mo>=</mo> <mfrac> <mrow> <msub> <mi>m</mi> <mi>P</mi> </msub> <msub> <mi>gH</mi> <mi>p</mi> </msub> </mrow> <mrow> <msup> <mn>10</mn> <mn>6</mn> </msup> <msub> <mi>&amp;eta;</mi> <mi>P</mi> </msub> </mrow> </mfrac> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>7</mn> <mo>)</mo> </mrow> </mrow>
wherein, PPactive power consumed by the circulation pump, g is the acceleration of gravity, ηPFor the efficiency of the circulation pump, mPFor the flow rate through the circulating pump, HPThe lift of the circulating pump;
1-8) coupling constraints between the power grid and the heat supply network in an electro-thermal coupling multi-energy flow system coupled by a heat pump; the expression is as follows:
Php＝ChpQhp(8)
wherein Q ishpIs an electric-thermal couplerCombining the heat power, P, generated by the heat pump in a multi-flow systemhpElectric power consumed for heat pumps, ChpThe heat generating efficiency of the heat pump;
2) the method for setting the inequality constraint conditions of steady-state safe operation of the power grid and the heat supply network in the electric-thermal coupling multi-energy flow system specifically comprises the following steps:
2-1) node voltage amplitude constraint;
voltage amplitude U of ith node in power grid of electric-thermal coupling multi-energy flow systemiLower and upper limit values of set safe operation voltage of power gridU i、In the middle of the operation, the operation is carried out,U iis 0.95 times the rated voltage of the ith node,1.05 times of rated voltage of the ith node: the expression is as follows:
<mrow> <msub> <munder> <mi>U</mi> <mo>&amp;OverBar;</mo> </munder> <mi>i</mi> </msub> <mo>&amp;le;</mo> <msub> <mi>U</mi> <mi>i</mi> </msub> <mo>&amp;le;</mo> <msub> <mover> <mi>U</mi> <mo>&amp;OverBar;</mo> </mover> <mi>i</mi> </msub> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>9</mn> <mo>)</mo> </mrow> </mrow>
2-2) line transmission capacity constraints;
the transmission capacity of the first line in the power grid of the electric-thermal coupling multi-energy flow system is less than or equal to the maximum value of the set safe operation transmission capacity of the power gridThe expression is as follows:
<mrow> <msub> <mi>S</mi> <mi>l</mi> </msub> <mo>&amp;le;</mo> <msub> <mover> <mi>S</mi> <mo>&amp;OverBar;</mo> </mover> <mi>l</mi> </msub> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>10</mn> <mo>)</mo> </mrow> </mrow>
2-3) climbing constraint of an electricity-heat combined supply unit or active power in a power grid of the electricity-heat combined multi-energy flow system; the expression is as follows:
<mrow> <mo>-</mo> <msubsup> <mi>RAMP</mi> <mi>b</mi> <mrow> <mi>d</mi> <mi>o</mi> <mi>w</mi> <mi>n</mi> </mrow> </msubsup> <mo>&amp;CenterDot;</mo> <mi>&amp;Delta;</mi> <mi>t</mi> <mo>&amp;le;</mo> <msub> <mi>p</mi> <mrow> <mi>b</mi> <mo>,</mo> <mi>t</mi> </mrow> </msub> <mo>-</mo> <msub> <mi>p</mi> <mrow> <mi>b</mi> <mo>,</mo> <mi>t</mi> <mo>-</mo> <mn>1</mn> </mrow> </msub> <mo>&amp;le;</mo> <msubsup> <mi>RAMP</mi> <mi>b</mi> <mrow> <mi>u</mi> <mi>p</mi> </mrow> </msubsup> <mo>&amp;CenterDot;</mo> <mi>&amp;Delta;</mi> <mi>t</mi> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>11</mn> <mo>)</mo> </mrow> </mrow>
wherein,andthe upward climbing speed and the upward climbing direction of the active power of the b-th station electric-heat combined supply unit respectivelyDown-hill rate, Δ t being the time interval between two adjacent scheduling periods, pb,tAnd pb,t-1Respectively setting the active power of the b-th electric-thermal cogeneration unit in the t-th scheduling period and the active power of the t-1-th scheduling period;
2-4) climbing constraint of active power of a non-gas turbine set in a power grid of the electro-thermal coupling multi-energy flow system; the expression is as follows:
<mrow> <mo>-</mo> <msubsup> <mi>ramp</mi> <mi>x</mi> <mrow> <mi>d</mi> <mi>o</mi> <mi>w</mi> <mi>n</mi> </mrow> </msubsup> <mo>&amp;CenterDot;</mo> <mi>&amp;Delta;</mi> <mi>t</mi> <mo>&amp;le;</mo> <msub> <mi>p</mi> <mrow> <mi>x</mi> <mo>,</mo> <mi>t</mi> </mrow> </msub> <mo>-</mo> <msub> <mi>p</mi> <mrow> <mi>x</mi> <mo>,</mo> <mi>t</mi> <mo>-</mo> <mn>1</mn> </mrow> </msub> <mo>&amp;le;</mo> <msubsup> <mi>ramp</mi> <mi>x</mi> <mrow> <mi>u</mi> <mi>p</mi> </mrow> </msubsup> <mo>&amp;CenterDot;</mo> <mi>&amp;Delta;</mi> <mi>t</mi> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>12</mn> <mo>)</mo> </mrow> </mrow>
wherein,andthe upward climbing speed and the downward climbing speed, p, of the active power of the x-th thermal power generating unitx,tAnd px,t-1Respectively setting the active power of the x-th thermal power generating unit in the t-th scheduling period and the active power of the t-1 st scheduling period;
2-5) restraining the safe operation of the electricity-heat cogeneration unit;
active power p of the b-th electric-thermal combined supply unit in the power grid of the electric-thermal coupling multi-energy flow systembThe upper limit value and the lower limit value of the active power of the b-th station electric-heat cogeneration unit are safely operated in the set power grid p bTo (c) to (d); the expression is as follows:
<mrow> <msub> <munder> <mi>p</mi> <mo>&amp;OverBar;</mo> </munder> <mi>b</mi> </msub> <mo>&amp;le;</mo> <msub> <mi>p</mi> <mi>b</mi> </msub> <mo>&amp;le;</mo> <msub> <mover> <mi>p</mi> <mo>&amp;OverBar;</mo> </mover> <mi>b</mi> </msub> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>13</mn> <mo>)</mo> </mrow> </mrow>
2-6) safety operation constraint of the thermal power generating unit;
active power p of x-th thermal power generating unit in power grid of electric-thermal coupling multi-energy flow systemxUpper and lower limit values of active power of x-th thermal power generating unit in set power grid safe operation p xTo (c) to (d); the expression is as follows:
<mrow> <msub> <munder> <mi>p</mi> <mo>&amp;OverBar;</mo> </munder> <mi>x</mi> </msub> <mo>&amp;le;</mo> <msub> <mi>p</mi> <mi>x</mi> </msub> <mo>&amp;le;</mo> <msub> <mover> <mi>p</mi> <mo>&amp;OverBar;</mo> </mover> <mi>x</mi> </msub> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>14</mn> <mo>)</mo> </mrow> </mrow>
2-7) heat supply network pipeline flow restriction;
flow m of the first pipeline in the heat supply network of the electric-thermal coupling multi-energy flow systemlIs less than or equal to the upper limit value of the safe operation flow of the heat supply networkThe expression is as follows:
<mrow> <mn>0</mn> <mo>&amp;le;</mo> <msub> <mi>m</mi> <mi>l</mi> </msub> <mo>&amp;le;</mo> <msub> <mover> <mi>m</mi> <mo>&amp;OverBar;</mo> </mover> <mi>l</mi> </msub> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>15</mn> <mo>)</mo> </mrow> </mrow>
2-8) restricting the return water temperature of the heat exchange station;
the return water temperature T of the heat exchange station in the heat supply network of the electric-thermal coupling multi-energy flow system is at the upper limit value and the lower limit value of the set safe operation return water temperature of the heat supply network TTo (c) to (d); the expression is as follows:
<mrow> <munder> <mi>T</mi> <mo>&amp;OverBar;</mo> </munder> <mo>&amp;le;</mo> <mi>T</mi> <mo>&amp;le;</mo> <mover> <mi>T</mi> <mo>&amp;OverBar;</mo> </mover> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>16</mn> <mo>)</mo> </mrow> </mrow>
3) establishing an economic objective function of optimal scheduling of the electro-thermal coupling multi-energy flow system by taking the lowest cost as a target; the expression is as follows:
<mrow> <mi>min</mi> <mi> </mi> <msubsup> <mi>F</mi> <mi>D</mi> <mi>C</mi> </msubsup> <mrow> <mo>(</mo> <mi>x</mi> <mo>)</mo> </mrow> <mo>=</mo> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>b</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>N</mi> </munderover> <mi>F</mi> <mrow> <mo>(</mo> <msub> <mi>p</mi> <mi>b</mi> </msub> <mo>,</mo> <msub> <mi>q</mi> <mi>b</mi> </msub> <mo>)</mo> </mrow> <mo>+</mo> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>x</mi> <mo>=</mo> <mn>1</mn> </mrow> <msub> <mi>N</mi> <mrow> <mi>T</mi> <mi>U</mi> </mrow> </msub> </munderover> <msub> <mi>F</mi> <mrow> <mi>T</mi> <mi>U</mi> </mrow> </msub> <mrow> <mo>(</mo> <msub> <mi>p</mi> <mi>x</mi> </msub> <mo>)</mo> </mrow> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>17</mn> <mo>)</mo> </mrow> </mrow>
wherein p isbThe active power of the b-th electric-thermal combined supply unit in the electric-thermal coupling multi-energy flow system, qbThe thermal power of the b-th electric-thermal combined supply unit in the electric-thermal coupling multi-energy flow system is provided, N is the total number of the electric-thermal combined supply units in the electric-thermal coupling multi-energy flow system, and F (p)b,qb) The running cost p of the b-th electric-thermal combined supply unit in the electric-thermal coupling multi-energy flow systemxIs the active power of the x-th thermal power generating unit in an electric-thermal coupling multi-energy flow system, NTUThe total number of the thermoelectric generator sets in the electric-thermal coupling multi-energy flow system, FTU(px) The operation cost of the x-th thermal power generating unit in the electro-thermal coupling multi-energy flow system is calculated;the total operating cost of the multi-energy flow system;
4) establishing an energy efficiency objective function for optimal scheduling of the electric-thermal coupling multi-energy flow system by taking the highest energy efficiency as a target, wherein the expression is as follows:
<mrow> <mi>min</mi> <mi> </mi> <msubsup> <mi>F</mi> <mi>D</mi> <mi>E</mi> </msubsup> <mrow> <mo>(</mo> <mi>x</mi> <mo>)</mo> </mrow> <mo>=</mo> <mfrac> <mrow> <msubsup> <mo>&amp;Integral;</mo> <mn>0</mn> <mi>T</mi> </msubsup> <msub> <mi>P</mi> <mi>L</mi> </msub> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> <mi>d</mi> <mi>t</mi> <mo>+</mo> <msubsup> <mo>&amp;Integral;</mo> <mn>0</mn> <mi>T</mi> </msubsup> <msub> <mi>C</mi> <mi>L</mi> </msub> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> <mi>d</mi> <mi>t</mi> <mo>+</mo> <msubsup> <mo>&amp;Integral;</mo> <mn>0</mn> <mi>T</mi> </msubsup> <msub> <mi>Q</mi> <mi>L</mi> </msub> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> <mi>d</mi> <mi>t</mi> </mrow> <mrow> <msubsup> <mo>&amp;Integral;</mo> <mn>0</mn> <mi>T</mi> </msubsup> <mrow> <mo>(</mo> <msub> <mi>&amp;xi;</mi> <mrow> <mi>r</mi> <mi>e</mi> </mrow> </msub> <msub> <mi>v</mi> <mrow> <mi>r</mi> <mi>e</mi> </mrow> </msub> <mo>(</mo> <mi>t</mi> <mo>)</mo> <mo>+</mo> <mfrac> <mrow> <msub> <mi>&amp;xi;</mi> <mrow> <mi>c</mi> <mi>o</mi> <mi>a</mi> <mi>l</mi> </mrow> </msub> <msub> <mi>v</mi> <mrow> <mi>c</mi> <mi>o</mi> <mi>a</mi> <mi>l</mi> </mrow> </msub> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> </mrow> <mrow> <msub> <mi>ef</mi> <mrow> <mi>c</mi> <mi>o</mi> <mi>a</mi> <mi>l</mi> </mrow> </msub> </mrow> </mfrac> <mo>+</mo> <mfrac> <mrow> <msub> <mi>&amp;xi;</mi> <mrow> <mi>g</mi> <mi>a</mi> <mi>s</mi> </mrow> </msub> <msub> <mi>v</mi> <mrow> <mi>g</mi> <mi>a</mi> <mi>s</mi> </mrow> </msub> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> </mrow> <mrow> <msub> <mi>ef</mi> <mrow> <mi>g</mi> <mi>a</mi> <mi>s</mi> </mrow> </msub> </mrow> </mfrac> <mo>)</mo> </mrow> <msub> <mi>P</mi> <mrow> <mi>b</mi> <mi>u</mi> <mi>y</mi> </mrow> </msub> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> <mi>d</mi> <mi>t</mi> <mo>+</mo> <msubsup> <mo>&amp;Integral;</mo> <mn>0</mn> <mi>T</mi> </msubsup> <mrow> <mo>(</mo> <msub> <mi>&amp;xi;</mi> <mrow> <mi>r</mi> <mi>e</mi> </mrow> </msub> <msub> <mi>P</mi> <mrow> <mi>r</mi> <mi>e</mi> </mrow> </msub> <mo>(</mo> <mi>t</mi> <mo>)</mo> <mo>+</mo> <msub> <mi>F</mi> <mrow> <mi>c</mi> <mi>o</mi> <mi>a</mi> <mi>l</mi> </mrow> </msub> <mo>(</mo> <mi>t</mi> <mo>)</mo> <mo>+</mo> <msub> <mi>F</mi> <mrow> <mi>g</mi> <mi>a</mi> <mi>s</mi> <mi>s</mi> </mrow> </msub> <mo>(</mo> <mi>t</mi> <mo>)</mo> <mo>)</mo> </mrow> <mi>d</mi> <mi>t</mi> </mrow> </mfrac> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>18</mn> <mo>)</mo> </mrow> </mrow>
wherein, PL(t)、CL(t)、QL(t) the electric load power, the cold load power and the heat load power of the multi-energy-flow system at the time t, subscript re, coal and gas respectively represent that the energy sources are renewable energy, coal and natural gas, ξ is an energy non-renewable coefficient, the value is 0 for the renewable energy, non-renewable energy is 1, ν (t) is the permeability of different primary energy sources in electricity purchase outside the time t, ef is the generating efficiency of a corresponding unit, P is the power generation efficiency of the corresponding unitbuy(t) purchasing electric energy power of a power grid for the multi-energy-flow system at the time t; pre(t) the renewable energy power which is accessed by the multi-energy-flow system at the time t without a power grid is in kW unit; f (t) is the lower level of the corresponding fuel consumedThe heat value of the fuel is measured,energy efficiency for a multi-energy flow system;
5) an internal point method is adopted, an economic objective function of a formula (17) is used as an objective function, formulas (1) to (16) are used as constraint conditions, active power and thermal power of each electric-thermal combined supply unit in the electric-thermal coupling multi-energy flow system are obtained through solving, and an electric-thermal coupling multi-energy flow system scheduling scheme taking economy as a target is obtained;
an internal point method is adopted, an energy efficiency objective function of a formula (18) is used as an objective function, formulas (1) to (16) are used as constraint conditions, active power and thermal power of each electric-thermal combined supply unit in the electric-thermal coupling multi-energy flow system are obtained through solving, and an electric-thermal coupling multi-energy flow system scheduling scheme with energy efficiency as a target is obtained;
6) substituting the electric-thermal coupling multi-energy flow system scheduling scheme which is obtained in the step 5) and aims at the economy into an energy efficiency objective function of an equation (18), and recording the result as the resultSubstituting the electric-thermal coupling multi-energy flow system scheduling scheme which is obtained in the step 5) and aims at energy efficiency into an economic objective function of an equation (17), and recording the result as
7) Establishing an electric-thermal coupling multi-energy flow system optimization scheduling objective function which gives consideration to economy and energy efficiency; the expression is as follows:
<mrow> <mtable> <mtr> <mtd> <mrow> <mi>m</mi> <mi>a</mi> <mi>x</mi> </mrow> </mtd> <mtd> <mrow> <mo>{</mo> <mrow> <mo>(</mo> <msubsup> <mi>F</mi> <mi>D</mi> <mi>E</mi> </msubsup> <mo>-</mo> <msubsup> <mi>F</mi> <mi>D</mi> <mi>C</mi> </msubsup> <mo>(</mo> <mi>x</mi> <mo>)</mo> <mo>)</mo> </mrow> <mrow> <mo>(</mo> <msubsup> <mi>F</mi> <mi>D</mi> <mi>C</mi> </msubsup> <mo>-</mo> <msubsup> <mi>F</mi> <mi>D</mi> <mi>E</mi> </msubsup> <mo>(</mo> <mi>x</mi> <mo>)</mo> <mo>)</mo> </mrow> <mo>}</mo> </mrow> </mtd> </mtr> </mtable> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>19</mn> <mo>)</mo> </mrow> </mrow>
8) establishing an electric-thermal coupling multi-energy flow system optimization scheduling model considering economy and energy efficiency by taking the formula (19) as an objective function and taking the formulas (1) to (16) as constraint conditions; and solving the model by adopting an interior point method to obtain the active power and the thermal power of each electro-thermal coupling unit in the electro-thermal coupling multi-energy flow system, and using the active power and the thermal power as an optimal scheduling scheme of the electro-thermal coupling multi-energy flow system.
CN201710963653.3A 2017-10-17 2017-10-17 A kind of economy of taking into account couples multipotency streaming system Optimization Scheduling with the electric-thermal of efficiency Active CN107800158B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201710963653.3A CN107800158B (en) 2017-10-17 2017-10-17 A kind of economy of taking into account couples multipotency streaming system Optimization Scheduling with the electric-thermal of efficiency

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201710963653.3A CN107800158B (en) 2017-10-17 2017-10-17 A kind of economy of taking into account couples multipotency streaming system Optimization Scheduling with the electric-thermal of efficiency

Publications (2)

Publication Number Publication Date
CN107800158A true CN107800158A (en) 2018-03-13
CN107800158B CN107800158B (en) 2019-09-27

Family

ID=61533181

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201710963653.3A Active CN107800158B (en) 2017-10-17 2017-10-17 A kind of economy of taking into account couples multipotency streaming system Optimization Scheduling with the electric-thermal of efficiency

Country Status (1)

Country Link
CN (1) CN107800158B (en)

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108446865A (en) * 2018-04-17 2018-08-24 北京清大高科系统控制有限公司 Thermo-electrically based on interval method couples multipotency streaming system power methods of risk assessment
CN110970892A (en) * 2019-11-19 2020-04-07 国网辽宁省电力有限公司经济技术研究院 Provincial energy Internet multi-energy flow regulation and control optimization method based on energy balance
CN111049135A (en) * 2019-12-30 2020-04-21 国网吉林省电力有限公司 Distributed two-stage cooperative operation method of multi-zone electrical coupling system
CN111313400A (en) * 2019-11-11 2020-06-19 国网吉林省电力有限公司 Robust correction-based multi-energy virtual power plant operation parameter aggregation method
CN111340271A (en) * 2020-02-13 2020-06-26 清华大学 Electricity-heat multi-energy flow system optimal scheduling method based on heat supply phasor model
CN112362096A (en) * 2020-10-26 2021-02-12 南方电网科学研究院有限责任公司 Method and device for monitoring running state of multi-energy flow, terminal equipment and storage medium
CN113190975A (en) * 2021-04-12 2021-07-30 三峡大学 Random electric heating coupling system optimal scheduling method considering heat asymmetric heat loss
CN113283105A (en) * 2021-06-09 2021-08-20 大连海事大学 Energy internet distributed optimal scheduling method considering voltage safety constraint

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20070017666A1 (en) * 2005-07-19 2007-01-25 Goenka Lakhi N Energy management system for a hybrid-electric vehicle
US20160011577A1 (en) * 2014-07-11 2016-01-14 Nec Europe Ltd. Collaborative balancing of renewable energy overproduction with electricity-heat coupling and electric and thermal storage for prosumer communities
CN105676646A (en) * 2016-03-11 2016-06-15 国网天津市电力公司 Linearization method for optimized operation of combined cooling heating and power supply system
CN105869075A (en) * 2016-04-19 2016-08-17 东南大学 Economic optimization scheduling method for cold, heat and electricity combined supply type miniature energy grid
CN106056251A (en) * 2016-06-12 2016-10-26 清华大学 Electric-thermal coupled multi-energy-flow system optimization scheduling method
CN107067116A (en) * 2017-04-26 2017-08-18 燕山大学 A kind of multizone electric heating integrated system economic environment combined dispatching method for solving

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20070017666A1 (en) * 2005-07-19 2007-01-25 Goenka Lakhi N Energy management system for a hybrid-electric vehicle
US20160011577A1 (en) * 2014-07-11 2016-01-14 Nec Europe Ltd. Collaborative balancing of renewable energy overproduction with electricity-heat coupling and electric and thermal storage for prosumer communities
CN105676646A (en) * 2016-03-11 2016-06-15 国网天津市电力公司 Linearization method for optimized operation of combined cooling heating and power supply system
CN105869075A (en) * 2016-04-19 2016-08-17 东南大学 Economic optimization scheduling method for cold, heat and electricity combined supply type miniature energy grid
CN106056251A (en) * 2016-06-12 2016-10-26 清华大学 Electric-thermal coupled multi-energy-flow system optimization scheduling method
CN107067116A (en) * 2017-04-26 2017-08-18 燕山大学 A kind of multizone electric heating integrated system economic environment combined dispatching method for solving

Cited By (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108446865B (en) * 2018-04-17 2019-08-16 北京清大高科系统控制有限公司 Thermo-electrically based on interval method couples multipotency streaming system power methods of risk assessment
CN108446865A (en) * 2018-04-17 2018-08-24 北京清大高科系统控制有限公司 Thermo-electrically based on interval method couples multipotency streaming system power methods of risk assessment
CN111313400A (en) * 2019-11-11 2020-06-19 国网吉林省电力有限公司 Robust correction-based multi-energy virtual power plant operation parameter aggregation method
CN111313400B (en) * 2019-11-11 2022-07-12 国网吉林省电力有限公司 Robust correction-based multi-energy virtual power plant operation parameter aggregation method
CN110970892A (en) * 2019-11-19 2020-04-07 国网辽宁省电力有限公司经济技术研究院 Provincial energy Internet multi-energy flow regulation and control optimization method based on energy balance
CN110970892B (en) * 2019-11-19 2023-10-13 国网辽宁省电力有限公司经济技术研究院 Energy balance-based provincial energy Internet multi-energy flow regulation and optimization method
CN111049135A (en) * 2019-12-30 2020-04-21 国网吉林省电力有限公司 Distributed two-stage cooperative operation method of multi-zone electrical coupling system
CN111049135B (en) * 2019-12-30 2023-02-03 国网吉林省电力有限公司 Distributed two-stage cooperative operation method of multi-zone electric coupling system
CN111340271B (en) * 2020-02-13 2022-04-08 清华大学 Electricity-heat multi-energy flow system optimal scheduling method based on heat supply phasor model
CN111340271A (en) * 2020-02-13 2020-06-26 清华大学 Electricity-heat multi-energy flow system optimal scheduling method based on heat supply phasor model
CN112362096A (en) * 2020-10-26 2021-02-12 南方电网科学研究院有限责任公司 Method and device for monitoring running state of multi-energy flow, terminal equipment and storage medium
CN112362096B (en) * 2020-10-26 2022-04-12 南方电网科学研究院有限责任公司 Method and device for monitoring running state of multi-energy flow, terminal equipment and storage medium
CN113190975A (en) * 2021-04-12 2021-07-30 三峡大学 Random electric heating coupling system optimal scheduling method considering heat asymmetric heat loss
CN113283105B (en) * 2021-06-09 2022-03-04 大连海事大学 Energy internet distributed optimal scheduling method considering voltage safety constraint
CN113283105A (en) * 2021-06-09 2021-08-20 大连海事大学 Energy internet distributed optimal scheduling method considering voltage safety constraint

Also Published As

Publication number Publication date
CN107800158B (en) 2019-09-27

Similar Documents

Publication Publication Date Title
CN107800158B (en) A kind of economy of taking into account couples multipotency streaming system Optimization Scheduling with the electric-thermal of efficiency
CN109978625B (en) Comprehensive energy system multi-target operation optimization method considering electric and thermal gas network
CN106056251B (en) A kind of Optimization Scheduling of electric-thermal coupling multipotency streaming system
CN110210747B (en) Flexible scheduling method for electric-heating-gas interconnection energy system
CN106056478B (en) The Interval Power Flow calculation method of heat supply network in a kind of electric-thermal coupled system
CN108960503B (en) Multi-scene optimization analysis method of comprehensive energy system based on interior point method
CN106096777B (en) A kind of Optimization Scheduling of electric-gas coupling multipotency streaming system
CN107732983A (en) A kind of in a few days rolling scheduling method of electro thermal coupling multipotency streaming system
CN109245093A (en) A kind of supply of cooling, heating and electrical powers distributed busbar protection collaboration Optimization Scheduling
CN107358345B (en) Distributed combined cooling heating and power system optimization operation method considering demand side management
CN103246263A (en) General optimized dispatching strategy for combined supply of cooling, heating and power microgrid system
CN103728881A (en) Method for optimizing operation of multi-building combined cooling heating and power system
CN113141005B (en) New energy consumption-oriented comprehensive energy system multi-time scale scheduling method
CN109742800A (en) A kind of energy internet system and working method based on natural gas, hydrogen, electric power
CN113469430B (en) Multi-energy complementary capacity configuration method for comprehensive energy park
CN110502791B (en) Comprehensive energy system steady-state modeling method based on energy concentrator
CN210345602U (en) Large-temperature-difference central heating system utilizing electric compression heat pump
CN110163415A (en) A kind of multipotency streaming system multi objective fuzzy cooperative optimization method under Study on Variable Condition Features
CN113806952B (en) Cold-hot electricity comprehensive energy system considering source-charge-storage and optimal operation method thereof
CN114066056A (en) Optimal scheduling method and system considering flexibility of thermoelectric cooperative comprehensive energy system
CN109193666B (en) General energy bus-based comprehensive energy system time sequence energy flow calculation method
CN114757469B (en) Regional comprehensive energy system day-ahead optimal scheduling method considering multi-energy flow equipment
CN114548639B (en) Regional electric-thermal comprehensive energy system solar energy digestion capability assessment method
Li et al. Exergy Hub: A novel energy hub model considering energy quality
CN113379272A (en) Electric-heat combined scheduling method considering heat supply network characteristics

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
GR01 Patent grant
GR01 Patent grant