CN106602552A - Power-gas combined scheduling method and system - Google Patents

Power-gas combined scheduling method and system Download PDF

Info

Publication number
CN106602552A
CN106602552A CN201611185202.3A CN201611185202A CN106602552A CN 106602552 A CN106602552 A CN 106602552A CN 201611185202 A CN201611185202 A CN 201611185202A CN 106602552 A CN106602552 A CN 106602552A
Authority
CN
China
Prior art keywords
gas
natural gas
liquefied natural
centerdot
sigma
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
CN201611185202.3A
Other languages
Chinese (zh)
Other versions
CN106602552B (en
Inventor
陈钢
董超
卢恩
曾凯文
钟华赞
樊慧娴
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.)
Electric Power Dispatch Control Center of Guangdong Power Grid Co Ltd
Original Assignee
Tsinghua University
Electric Power Dispatch Control Center of Guangdong Power Grid Co Ltd
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, Electric Power Dispatch Control Center of Guangdong Power Grid Co Ltd filed Critical Tsinghua University
Priority to CN201611185202.3A priority Critical patent/CN106602552B/en
Publication of CN106602552A publication Critical patent/CN106602552A/en
Application granted granted Critical
Publication of CN106602552B publication Critical patent/CN106602552B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • 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
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/003Load forecast, e.g. methods or systems for forecasting future load demand

Landscapes

  • Business, Economics & Management (AREA)
  • Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Economics (AREA)
  • Marketing (AREA)
  • Tourism & Hospitality (AREA)
  • General Health & Medical Sciences (AREA)
  • Human Resources & Organizations (AREA)
  • Public Health (AREA)
  • Primary Health Care (AREA)
  • Strategic Management (AREA)
  • Water Supply & Treatment (AREA)
  • Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Power Engineering (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Feedback Control In General (AREA)

Abstract

The invention relates to a power-gas combined scheduling method and system. The method includes the following steps: acquiring a prediction load, supply prices of a liquefied natural gas at each and every time, the topological data of a natural gas system network, the topological data of a power system, the operation data of a coal-fired unit which takes part in the scheduling and operation and the operation data of a gas generator set, basic data of a liquefied natural gas receiving station and the operation state of the liquefied natural gas receiving station, and the information about arrival at port of a transportation ship which belongs to the liquefied natural gas receiving station; based on the aforementioned information, constructing a power-gas combined scheduling model and constraining conditions thereof, adopting a nonlinear plan solver, solving the power-gas combined scheduling model based on the constraining conditions to obtain the result of scheduling and operation of the coal-fired unit and the gas generator set, and controlling the operation of the coal-fired unit and the gas generator set based on the result of scheduling and operation of the coal-fired unit and the gas generator set. The method considers the uniqueness of the gas source of the liquefied natural gas and also the risks in supply, and has strong practicality.

Description

Electric combined scheduling method and system
Technical field
The present invention relates to electric association system management and running field, more particularly to a kind of electric combined scheduling method and it is System.
Background technology
It is considered a kind of clean electric power generation side natural gas power has the advantages that high efficiency, low emission because of it, start and stop are rapid Formula, Gas Generator Set also has very important effect in Operation of Electric Systems.Liquefied natural gas (liquefied natural Gas, liquefied natural gas) there is economical and efficient, clean environment firendly, flexible, safe and reliable, so as to become current state Border energy market fuel with fastest developing speed, is also the major way for supplementing China's natural gas insufficiency of supply-demand.
With the rapid growth of LNG Trade, liquefied natural gas receiving station is used as a kind of ratio of new source of the gas To continue to increase.Different from native country is marine, land source of the gas, liquefied natural gas receiving station as new source of the gas, by overseas natural gas Supplier Jing off-lying sea shippings are consumed to native country, and its tolerance supply, supply operation characteristic are different from conventional source of the gas, and its receiving station is usual It build coastal area in, liquefied natural gas at sea will be affected in transportation by factors such as typhoon, shippings, and resource provisioning is deposited In larger uncertainty;When liquified natural gas carrier (LNGC) cannot arrive port on time, need to follow-up one week in addition it is longer when Between the method for operation of gas electric system carry out decision-making again, and normally to the method for operation under port there is larger difference It is different.It is the essential condition for ensureing the safe and reliable supply of natural gas to study its supply uncertainty.
The content of the invention
Based on this, it is necessary to a kind of electric combined scheduling method and system are provided, it is contemplated that natural gas supply is not true Qualitatively problem, the operation for coal unit and combustion gas group machine provides guidance.
A kind of electric combined scheduling method, including:
Obtain prediction load, liquefied natural gas each moment supply price, natural gas system network topology data, electric power Grid topological data, participates in the service data and the service data of Gas Generator Set of the coal unit of management and running, and liquefy day The basic data and its running state data of Ran Qi receiving stations, the cargo ship of the liquefied natural gas receiving station to port information;
According to the basic data and its running state data of the liquefied natural gas receiving station, liquefied natural gas is at each moment Supply price, participate in management and running coal unit service data and Gas Generator Set service data build electric power joint adjust Degree model;
According to the electric load forecasting, natural gas system network topology data, power system network topological data, participate in The service data of the coal unit of management and running and the service data of Gas Generator Set, the basic data of liquefied natural gas receiving station and The cargo ship of its running state data and the liquefied natural gas receiving station to port information architecture electric power integrated distribution model Constraints;
Using nonlinear planning solution device, the electric power integrated distribution model is solved according to the constraints and obtains fire coal The management and running result of unit and Gas Generator Set;
Coal unit and Gas Generator Set according to the management and running output control of the coal unit and Gas Generator Set Operation.
A kind of electric combined dispatching system, including:Parameter acquisition module, scheduling model generation module, constraints are generated Module, computing module and control module;
The parameter acquisition module, for obtain prediction load, liquefied natural gas each moment supply price, natural gas Grid topological data, power system network topological data participates in service data and the combustion gas of the coal unit of management and running The service data of unit, the basic data and its running state data of liquefied natural gas receiving station, the liquefied natural gas is received The cargo ship stood to port information;
The scheduling model generation module, for according to the basic data of the liquefied natural gas receiving station and its operation shape State data, liquefied natural gas participates in the service data and gas engine of the coal unit of management and running in the supply price at each moment The service data of group builds electric power integrated distribution model;
The constraints generation module, for according to the electric load forecasting, natural gas system network topology data, Power system network topological data, participates in the service data and the service data of Gas Generator Set of the coal unit of management and running, liquid Change the basic data of natural gas receiving station and its cargo ship of running state data and the liquefied natural gas receiving station to port The constraints of information architecture electric power integrated distribution model;
The computing module, for using nonlinear planning solution device, according to the constraints electric power connection being solved Close the management and running result that scheduling model obtains coal unit and Gas Generator Set;
The control module, for coal-fired according to the management and running output control of the coal unit and Gas Generator Set The operation of unit and Gas Generator Set.
Above-mentioned electric combined scheduling method, introduces natural gas supply factor, it is considered to which natural gas supply is uncertain, to electricity Gas integrated distribution model is modified, it is proposed that one kind considers the probabilistic electric combined scheduling method of natural gas supply, is A few days ago generation schedule is formulated and provides effective tool.The method has taken into full account practical power systems and natural gas system operational management Pattern, it is considered to particularity of the liquefied natural gas source of the gas in supply and its supply risk, arrives with reference to the cargo ship of liquefied natural gas Port information and liquefied natural gas receiving station running status carry out electric combined dispatching, with very strong practicality, and can analyze The method of operation and benefit that electrically association system is supplied under scene in different liquefied natural gas.
Description of the drawings
Fig. 1 is the flow chart of the electric combined scheduling method of one embodiment;
Fig. 2 is the structured flowchart of the electric combined dispatching system of one embodiment.
Specific embodiment
In one embodiment, there is provided a kind of electric combined scheduling method, as shown in figure 1, comprising the following steps:
S102:Obtain prediction load, liquefied natural gas each moment supply price, natural gas system network topology number According to, power system network topological data participates in the service data and the service data of Gas Generator Set of the coal unit of management and running, The basic data and its running state data of liquefied natural gas receiving station, the cargo ship of liquefied natural gas receiving station is believed to port Breath.
Prediction load can be following 7 days prediction loads.Prediction load can be obtained by load forecasting method within following 7 days Arrive, including electric load forecasting P in 7 days futuresD,tWith occupy domestic gas load prediction data Ln, duration is dispatched in units of 6h.
Liquefied natural gas S is designated as ρ in the supply price of each moment ts,t
Natural gas system network can regard the directed graph being made up of node and pipeline, compressor as.Natural gas system network is opened up Data are flutterred including node-pipeline incidence matrix AN×L, node-compressor incidence matrix BN×C, gas pipeline configured transmission Cl, calm the anger Machine is maximum, minimum air pressure no-load voltage ratio Rc·max、Rc·min
Node-pipeline incidence matrix AN×LMiddle N is natural gas system nodes, and L is natural gas system pipe number, in matrix A Element anlRepresent node n and pipeline l incidence relations:anl=1 represents node n for pipeline l headend nodes, anl=-1 represents node n For pipeline l endpoint nodes;
Node-compressor incidence matrix BN×CMiddle C be compressor number of units, element b in matrix BncRepresent node n and compressor C incidence relations:bnc=1 represents node n for compressor c headend nodes, bnc=-1 represents that node n is compressor c endpoint nodes.
Gas pipeline configured transmission ClWith duct length, diameter, running temperature and pressure, Natural Gas Type, duct height Change is relevant with inner-walls of duct degree of roughness.
Power system network topological data includes internetwork connection mode, Line Flow constraint upper limit Pb·max
The service data of the coal unit and Gas Generator Set that participate in management and running includes the active bound of exerting oneself of coal unit Pi·max、Pi·min, fuel cost function Fi(Pi,t), active bounds P of exerting oneself of Gas Generator Set jj·max、Pj·min
The basic data of liquefied natural gas receiving station, including:Source of the gas s gas supply flow upper lower limit value gs·max、gs·min, receive Stand in the liquefied natural gas reserves V of initial times0, bound V of receiving station's liquefied natural gas reservess·max、Vs·min
The running status of liquefied natural gas receiving station includes normal operation/conservative operation.Liquefied natural gas receiving station is daily Deposit has a certain amount of liquefied natural gas cannot arrive the sea-freight risk at port to tackle liquified natural gas carrier (LNGC), when scheduling initial time Liquified natural gas carrier (LNGC) fail on time to port when, there are following two methods of operation in receiving station:
1) normal operation:Receiving station adjusts natural gas supply by downstream workload demand;
2) operation is guarded:Receiving station reduces as far as possible natural gas supply, improves liquefied natural gas remaining reserves in station, to answer To secondary sea-freight risk.
The cargo ship of liquefied natural gas receiving station to port information Il,t, for the supply of liquefied natural gas source of the gas, mainly examine Consider its sea-freight risk, i.e., the liquified natural gas carrier (LNGC) for causing because of special extreme weather cannot on time to the situation at port, thus Cause coastal cities supply anxiety, the generation schedule of Gas Generator Set also will be by large effect.
S104:According to the basic data and its running state data of liquefied natural gas receiving station, liquefied natural gas is when each The supply price at quarter, the service data of the service data and Gas Generator Set that participate in the coal unit of management and running builds electric power joint Scheduling model.
Specifically, if liquefied natural gas receiving station normally runs, 7 Tian Nei receiving stations tolerance abundances are referred generally to, now Object function is constructed with system supply, the minimum principle of total generation cost, object function is configured to
Wherein, gs,tFor source of the gas s moment t gas supply flow, ρs,tFor source of the gas s moment t supply price, NG is system Coal unit number, Fi(Pi,t) for coal unit i fuel cost function, Pi,tFor coal unit generated output.
If the conservative operation of liquefied natural gas receiving station, receiving station reduces as far as possible natural gas supply, improves liquid in station Change natural gas remaining reserves, to tackle secondary sea-freight risk, increase uses gas penalty factor, object function to be configured to
Wherein,It is that last moment t is being dispatched by liquefied natural gas receiving stationmWhen liquefied natural gas reserves, v for punishment because Son.
S106:According to electric load forecasting, natural gas system network topology data, power system network topological data, ginseng With the service data and the service data of Gas Generator Set of the coal unit of management and running, the basic data of liquefied natural gas receiving station And its pact to port information architecture electric power integrated distribution model of the cargo ship of running state data and liquefied natural gas receiving station Beam condition.
Specifically, the constraints of electric power integrated distribution model includes:Power system constraints, pneumoelectric coupling constraint bar Part, natural gas system constraints.
Power system constraints, including the constraint of electric power networks Constraints of Equilibrium, Line Flow, the active bound of exerting oneself of unit Constraint.
Electric power networks Constraints of Equilibrium is:
Wherein, PD,tFor t system total load, NC is Gas Generator Set number, Pj,tFor Gas Generator Set generated output.
Line Flow is constrained, using DC flow model:
|Pb,t|≤Pb·max
Wherein, Pb,tFor branch road b t effective power flow, Pb·maxFor the branch road b effective power flow upper limits.
The active bound of exerting oneself of unit is constrained to:
Wherein, Pi·max、Pi·minFor the active bounds of exerting oneself of coal unit i, Pj·max、Pj·minFor Gas Generator Set j it is active go out Power bound.
Gas distributing system is produced at Gas Generator Set with power system and coupled, and the fuel natural gas for being embodied in gas turbine disappear Consumption and the active relation exerted oneself, describe without loss of generality the pass between Gas Generator Set generated output and air consumption with quadratic function System.Pneumoelectric coupling constraint condition is:
Wherein, fj(Pj) for Gas Generator Set generated output be PjWhen consume gas discharge, K2j、K1jAnd K0jFor combustion Mechanism of qi group fuel consumption parameter.
Natural gas system constraints, including gas source feed flow restriction, the liquefied natural gas reserves restriction of receiving station, storage Air reservoir storage tolerance restriction, transmission pipeline model, preferable compressor model, network equilibrium equation.
Gas source feed flow restriction is:
gs·min≤gs,t≤gs·max
Wherein gs,tFor source of the gas s moment t gas supply flow, gs·max、gs·minRespectively source of the gas s gas supply flows bound.
The liquefied natural gas reserves of receiving station are limited to:
Vs·min≤Vs,t≤Vs·max
Wherein, Vs,tBe receiving station t end liquefied natural gas reserves, Vs0For receiving station initial time liquefaction Gas reserves;Il,tRepresent whether t liquified natural gas carrier (LNGC) arrives port, Il,tPress for 1 expression liquified natural gas carrier (LNGC) When to port, be 0 expression liquified natural gas carrier (LNGC) not to port, Vl,tGas contract liquified natural gas carrier (LNGC) is purchased for a long time for t Effective discharging quantity;T0Can be a hour or several decimals for unit scheduling time;R be liquefied natural gas (liquid) with The volume no-load voltage ratio of natural gas (gaseous state), is 1/625.Vs·maxAnd Vs·minThe respectively bound of receiving station's liquefied natural gas reserves.
Gas storage library storage tolerance is limited to:
Wherein, Vst0、Vst,tRespectively dispatch gas-storing capacity in just moment and last moment gas storage, Ist,t、Ost,tRespectively store up Gas storage, gas supply flows of the air reservoir st in moment t, Vst·max、Vst·minFor gas storage gas-storing capacity bound, Ist·max、Ist·minRespectively For gas storage gas storage flow bound, Ost·max、Ost·minRespectively gas storage gas supply flow bound.
Transmission pipeline model is:
Wherein, flFor pipe natural gas flow, pm、pnThe respectively air pressure of pipe ends first and last node m and n, flFor positive table Show that natural gas flows to node n, f by node m in pipelinelNode m is flowed to by node n for natural gas in negative indication pipeline.
Preferable compressor model is:
Wherein, Rc·max、Rc·minRespectively compressor c is maximum, minimum air pressure no-load voltage ratio.
Network equilibrium equation is:
Wherein, s, st are the source of the gas and gas storage for being connected to node n, LnTo occupy domestic gas load at node n.
S108:Using nonlinear planning solution device, electric power integrated distribution model is solved according to constraints and obtains coal burning machine The management and running result of group and Gas Generator Set.
S110:According to coal unit and the management and running output control coal unit and the fortune of Gas Generator Set of Gas Generator Set OK.
Above-mentioned electric combined scheduling method, introduces natural gas supply factor, it is considered to which natural gas supply is uncertain, to electricity Gas integrated distribution model is modified, it is proposed that one kind considers the probabilistic electric combined scheduling method of natural gas supply, is A few days ago generation schedule is formulated and provides effective tool.The method has taken into full account practical power systems and natural gas system operational management Pattern, it is considered to particularity of the liquefied natural gas source of the gas in supply and its supply risk, arrives with reference to the cargo ship of liquefied natural gas Port information and liquefied natural gas receiving station running status carry out electric combined dispatching, with very strong practicality, and can analyze The method of operation and benefit that electrically association system is supplied under scene in different liquefied natural gas.
It is emphasized that the liquefied natural gas receiving station running status considered in this method implementation steps and corresponding mesh Scalar functions, natural gas system limiting factor, electric association system scheduling minimum scheduling duration and total activation cycle etc. can bases The actual electrically operating data resource of association system and practical situation etc. are flexibly customized, and extensibility is strong.Time dimension On, for example with a daily load data and dispatching cycle on the one, it is also possible to during for electric combined dispatching a few days ago, etc..
In another embodiment, as shown in Fig. 2 a kind of electric combined dispatching system, including:Parameter acquisition module 201, Scheduling model generation module 202, constraints generation module 203, computing module 204 and control module 205.
Parameter acquisition module 201, for obtain prediction load, liquefied natural gas each moment supply price, natural gas Grid topological data, power system network topological data participates in service data and the combustion gas of the coal unit of management and running The service data of unit, the basic data and its running state data of liquefied natural gas receiving station, liquefied natural gas receiving station Cargo ship to port information.
Scheduling model generation module 202, for according to the basic data of liquefied natural gas receiving station and its running status number According to, liquefied natural gas in the supply price at each moment, the service data and Gas Generator Set of the coal unit of management and running are participated in Service data builds electric power integrated distribution model.
Constraints generation module 203, for according to electric load forecasting, natural gas system network topology data, electric power Grid topological data, participates in the service data and the service data of Gas Generator Set of the coal unit of management and running, and liquefy day The basic data and its running state data of Ran Qi receiving stations and the cargo ship of liquefied natural gas receiving station to port information architecture The constraints of electric power integrated distribution model.
Computing module 204, for using nonlinear planning solution device, according to constraints electric power integrated distribution model being solved Obtain the management and running result of coal unit and Gas Generator Set.
Control module 205, for according to the management and running output control coal unit of coal unit and Gas Generator Set and combustion The operation of mechanism of qi group.
Above-mentioned electric combined dispatching system, introduces natural gas supply factor, it is considered to which natural gas supply is uncertain, to electricity Gas integrated distribution model is modified, it is proposed that one kind considers the probabilistic electric combined scheduling method of natural gas supply, is A few days ago generation schedule is formulated and provides effective tool.The method has taken into full account practical power systems and natural gas system operational management Pattern, it is considered to particularity of the liquefied natural gas source of the gas in supply and its supply risk, arrives with reference to the cargo ship of liquefied natural gas Port information and liquefied natural gas receiving station running status carry out electric combined dispatching, with very strong practicality, and can analyze The method of operation and benefit that electrically association system is supplied under scene in different liquefied natural gas.
Each technical characteristic of embodiment described above can be combined arbitrarily, to make description succinct, not to above-mentioned reality Apply all possible combination of each technical characteristic in example to be all described, as long as however, the combination of these technical characteristics is not deposited In contradiction, the scope of this specification record is all considered to be.
Embodiment described above only expresses the several embodiments of the present invention, and its description is more concrete and detailed, but and Can not therefore be construed as limiting the scope of the patent.It should be pointed out that for one of ordinary skill in the art comes Say, without departing from the inventive concept of the premise, some deformations and improvement can also be made, these belong to the protection of the present invention Scope.Therefore, the protection domain of patent of the present invention should be defined by claims.

Claims (10)

1. a kind of electric combined scheduling method, it is characterised in that include:
Obtain prediction load, liquefied natural gas each moment supply price, natural gas system network topology data, power system Network topology data, participate in the service data and the service data of Gas Generator Set of the coal unit of management and running, liquefied natural gas The basic data and its running state data of receiving station, the cargo ship of the liquefied natural gas receiving station to port information;
According to the basic data and its running state data of the liquefied natural gas receiving station, confession of the liquefied natural gas at each moment Gas price lattice, the service data of the service data and Gas Generator Set that participate in the coal unit of management and running builds electric power combined dispatching mould Type;
According to the electric load forecasting, natural gas system network topology data, power system network topological data, scheduling is participated in The service data of the coal unit of operation and the service data of Gas Generator Set, the basic data and its fortune of liquefied natural gas receiving station The constraint to port information architecture electric power integrated distribution model of the cargo ship of row status data and the liquefied natural gas receiving station Condition;
Using nonlinear planning solution device, the electric power integrated distribution model is solved according to the constraints and obtains coal unit With the management and running result of Gas Generator Set;
The operation of coal unit and Gas Generator Set according to the management and running output control of the coal unit and Gas Generator Set.
2. method according to claim 1, it is characterised in that the running status of the liquefied natural gas station includes normal fortune Row and conservative operation;Scheduling model and conservative fortune when the electric power combined dispatching module includes that liquefied natural gas station normally runs Scheduling model during row;
Scheduling model when liquefied natural gas station normally runs is:
min { Σ t Σ s g s , t · ρ s , t + Σ t Σ i = 1 N G F i ( P i , t ) } ;
Wherein, gs,tFor source of the gas s moment t gas supply flow, ρs,tFor source of the gas s moment t supply price, NG is that system is coal-fired Unit number, Fi(Pi,t) for coal unit i fuel cost function, Pi,tFor coal unit generated output;
Scheduling model when liquefied natural gas station guards operation is:
m i n { Σ t Σ s g s , t · ρ s , t + Σ t Σ i = 1 N G F i ( P i , t ) - Σ s v · V s , t m }
Wherein,It is liquefied natural gas receiving station in scheduling instance tmWhen liquefied natural gas reserves, v is penalty factor.
3. method according to claim 2, it is characterised in that the constraints of the electric power integrated distribution model includes: Power system constraints, pneumoelectric coupling constraint condition and natural gas system constraints.
4. method according to claim 3, it is characterised in that the power system constraints includes:Electric power networks are put down Weighing apparatus constraint, Line Flow constraint, the active bound constraint of exerting oneself of unit;
The electric power networks Constraints of Equilibrium is:
Σ i = 1 N G P i , t + Σ j = 1 N C P j , t = P D , t ;
Wherein, PD,tFor t system total load, NC is Gas Generator Set number, Pj,tFor Gas Generator Set generated output;
The Line Flow is constrained to:
|Pb,t|≤Pb·max
Wherein, Pb,tFor branch road b t effective power flow, Pb·maxFor the branch road b effective power flow upper limits;
The active bound of exerting oneself of the unit is constrained to:
P i · min ≤ P i , t ≤ P i · max P j · min ≤ P j , t ≤ P j · max ;
Wherein, Pi·max、Pi·minFor the active bounds of exerting oneself of coal unit i, Pj·max、Pj·minOn exerting oneself for Gas Generator Set j is active Lower limit.
5. method according to claim 3, it is characterised in that the pneumoelectric coupling constraint condition is:
f j ( P j ) = K 2 j · P j 2 + K 1 j · P j + K 0 j ;
Wherein, fj(Pj) for Gas Generator Set generated output be PjWhen consume gas discharge, K2j、K1jAnd K0jFor gas engine Group fuel consumption parameter.
6. method according to claim 3, it is characterised in that the natural gas system constraints includes:Gas source feed Flow restriction, the liquefied natural gas reserves restriction of receiving station, the restriction of gas storage library storage tolerance, transmission pipeline model, ideal are calmed the anger Machine model, network equilibrium equation;
The gas source feed flow restriction is:
gs·min≤gs,t≤gs·max
Wherein, gs,tFor source of the gas s moment t gas supply flow, gs·max、gs·minRespectively source of the gas s gas supply flows bound;
The liquefied natural gas reserves of the receiving station are limited to:
V s , t = V s 0 + I l , t · V l , t - T 0 Σ t = 1 t g s , t · r
Vs·min≤Vs,t≤Vs·max
Wherein, Vs,tBe receiving station t end liquefied natural gas reserves, Vs0It is natural in the liquefaction of initial time for receiving station Gas reserves;Il,tRepresent whether t liquified natural gas carrier (LNGC) arrives port, Il,tArrive on time for 1 expression liquified natural gas carrier (LNGC) Port is 0 expression liquified natural gas carrier (LNGC) not to port, Vl,tThe effective of gas contract liquified natural gas carrier (LNGC) is purchased for a long time for t Discharging quantity;T0For unit scheduling time;R is the volume no-load voltage ratio of liquefied natural gas and natural gas, is 1/625;Vs·maxAnd Vs·minPoint Not Wei receiving station's liquefied natural gas reserves bound;
The gas storage library storage tolerance is limited to:
V s t , t = V s t 0 + T 0 · Σ t = 1 t ( I s t , t - O s t , t )
V s t · min ≤ V s t , t ≤ V s t · m a x I s t , t · O s t , t = 0
I s t · min ≤ I s t , t ≤ I s t · m a x O s t · m i n ≤ O s t , t ≤ O s t , m a x
Wherein, Vst0、Vst,tRespectively dispatch gas-storing capacity in just moment and last moment gas storage, Ist,t、Ost,tRespectively gas storage Gas storage, gas supply flows of the st in moment t, Vst·max、Vst·minFor gas storage gas-storing capacity bound, Ist·max、Ist·minRespectively store up Air reservoir gas storage flow bound, Ost·max、Ost·minRespectively gas storage gas supply flow bound;
The transmission pipeline model is:
f l = sgn ( p m , p n ) · C l | p m 2 - p n 2 |
sgn ( p m , p n ) = 1 p m &GreaterEqual; p n - 1 p m < p n
Wherein, flFor pipe natural gas flow, pm、pnThe respectively air pressure of pipe ends first and last node m and n, flJust to represent pipe Natural gas flows to node n, f by node m in roadlNode m is flowed to by node n for natural gas in negative indication pipeline;
The preferable compressor model is:
R c &CenterDot; m i n &le; p n p m &le; R c &CenterDot; m a x f c &GreaterEqual; 0
Wherein, Rc·max、Rc·minRespectively compressor c is maximum, minimum air pressure no-load voltage ratio;
The network equilibrium equation is:
&Sigma; s &Element; ( n ) g s , t + &Sigma; s t &Element; ( n ) ( O s t , t - I s t , t ) - A &CenterDot; f l - B &CenterDot; f c - L n - &Sigma; j &Element; ( n ) f j = 0
Wherein, s, st are the source of the gas and gas storage for being connected to node n, LnTo occupy domestic gas load at node n.
7. a kind of electric combined dispatching system, it is characterised in that include:Parameter acquisition module, scheduling model generation module, constraint Condition generation module, computing module and control module;
The parameter acquisition module, for obtain prediction load, liquefied natural gas each moment supply price, natural gas system Network topology data, power system network topological data participates in the service data and Gas Generator Set of the coal unit of management and running Service data, the basic data and its running state data of liquefied natural gas receiving station, the liquefied natural gas receiving station Cargo ship to port information;
The scheduling model generation module, for according to the basic data and its running status number of the liquefied natural gas receiving station According to, liquefied natural gas in the supply price at each moment, the service data and Gas Generator Set of the coal unit of management and running are participated in Service data builds electric power integrated distribution model;
The constraints generation module, for according to the electric load forecasting, natural gas system network topology data, electric power Grid topological data, participates in the service data and the service data of Gas Generator Set of the coal unit of management and running, and liquefy day The cargo ship of the basic data and its running state data of Ran Qi receiving stations and the liquefied natural gas receiving station to port information Build the constraints of electric power integrated distribution model;
The computing module, for using nonlinear planning solution device, solving the electric power joint according to the constraints and adjusting Degree model obtains the management and running result of coal unit and Gas Generator Set;
The control module, for the coal unit according to the management and running output control of the coal unit and Gas Generator Set With the operation of Gas Generator Set.
8. system according to claim 7, it is characterised in that the running status of the liquefied natural gas station includes normal fortune Row and conservative operation;Scheduling model and conservative fortune when the electric power combined dispatching module includes that liquefied natural gas station normally runs Scheduling model during row;
Scheduling model when liquefied natural gas station normally runs is:
m i n { &Sigma; t &Sigma; s g s , t &CenterDot; &rho; s , t + &Sigma; t &Sigma; i = 1 N G F i ( P i , t ) } ;
Wherein, gs,tFor source of the gas s moment t gas supply flow, ρs,tFor source of the gas s moment t supply price, NG is that system is coal-fired Unit number, Fi(Pi,t) for coal unit i fuel cost function, Pi,tFor coal unit generated output;
Scheduling model when liquefied natural gas station guards operation is:
m i n { &Sigma; t &Sigma; s g s , t &CenterDot; &rho; s , t + &Sigma; t &Sigma; i = 1 N G F i ( P i , t ) - &Sigma; s v &CenterDot; V s , t m }
Wherein,It is liquefied natural gas receiving station in scheduling instance tmWhen liquefied natural gas reserves, v is penalty factor.
9. system according to claim 8, it is characterised in that the constraints of the electric power integrated distribution model includes: Power system constraints, pneumoelectric coupling constraint condition and natural gas system constraints.
10. system according to claim 9, it is characterised in that the power system constraints includes:Electric power networks are put down Weighing apparatus constraint, Line Flow constraint, the active bound constraint of exerting oneself of unit;
The electric power networks Constraints of Equilibrium is:
&Sigma; i = 1 N G P i , t + &Sigma; j = 1 N C P j , t = P D , t ;
Wherein, PD,tFor t system total load, NC is Gas Generator Set number, Pj,tFor Gas Generator Set generated output;
The Line Flow is constrained to:
|Pb,t|≤Pb·max
Wherein, Pb,tFor branch road b t effective power flow, Pb·maxFor the branch road b effective power flow upper limits;
The active bound of exerting oneself of the unit is constrained to:
P i &CenterDot; min &le; P i , t &le; P i &CenterDot; max P j &CenterDot; min &le; P j , t &le; P j &CenterDot; max ;
Wherein, Pi·max、Pi·minFor the active bounds of exerting oneself of coal unit i, Pj·max、Pj·minOn exerting oneself for Gas Generator Set j is active Lower limit.
CN201611185202.3A 2016-12-20 2016-12-20 Electrical combined scheduling method and system Active CN106602552B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201611185202.3A CN106602552B (en) 2016-12-20 2016-12-20 Electrical combined scheduling method and system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201611185202.3A CN106602552B (en) 2016-12-20 2016-12-20 Electrical combined scheduling method and system

Publications (2)

Publication Number Publication Date
CN106602552A true CN106602552A (en) 2017-04-26
CN106602552B CN106602552B (en) 2019-05-14

Family

ID=58600374

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201611185202.3A Active CN106602552B (en) 2016-12-20 2016-12-20 Electrical combined scheduling method and system

Country Status (1)

Country Link
CN (1) CN106602552B (en)

Cited By (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107508326A (en) * 2017-08-25 2017-12-22 广东电网有限责任公司电力调度控制中心 Natural gas system and the emergent combined scheduling method and device of power system
CN107834536A (en) * 2017-09-29 2018-03-23 广东电力交易中心有限责任公司 A kind of electric network security and the energy market emulation mode of market economy
CN107909509A (en) * 2017-10-25 2018-04-13 广东电网有限责任公司电力调度控制中心 A kind of electric power and natural gas combined scheduling method for information synergism interaction
CN108062599A (en) * 2017-12-12 2018-05-22 西安交通大学 A kind of electric system and the modeling method of natural gas system synthetic operation
CN109829633A (en) * 2019-01-17 2019-05-31 新奥数能科技有限公司 A kind of energy scheduling management method, device, readable medium and electronic equipment
CN110222970A (en) * 2019-05-30 2019-09-10 天津大学 Consider that the spare gas-of energy storage is electrically coupled integrated energy system flexible scheduling method
CN110489788A (en) * 2019-07-09 2019-11-22 广东工业大学 A kind of linkage operation method of electrical interconnection
CN113095581A (en) * 2021-04-21 2021-07-09 广东电网有限责任公司电力调度控制中心 Natural gas supply chain safety monitoring and early warning method and system
CN117689190A (en) * 2024-02-04 2024-03-12 国网安徽省电力有限公司合肥供电公司 Cooperative scheduling method for distributed compressed air energy storage

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20030040847A1 (en) * 2001-05-18 2003-02-27 Jonah Tsui System and method for managing utility power use
CN105720610A (en) * 2016-04-14 2016-06-29 华北电力大学 Combination configuration method and device of power system unit

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20030040847A1 (en) * 2001-05-18 2003-02-27 Jonah Tsui System and method for managing utility power use
CN105720610A (en) * 2016-04-14 2016-06-29 华北电力大学 Combination configuration method and device of power system unit

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
林枫: "电力市场下燃气-蒸汽联合循环机组的运行与报价", 《中国优秀硕士学位论文全文数据库》 *

Cited By (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107508326B (en) * 2017-08-25 2019-08-20 广东电网有限责任公司电力调度控制中心 The emergency combined scheduling method and device of natural gas system and electric system
CN107508326A (en) * 2017-08-25 2017-12-22 广东电网有限责任公司电力调度控制中心 Natural gas system and the emergent combined scheduling method and device of power system
CN107834536A (en) * 2017-09-29 2018-03-23 广东电力交易中心有限责任公司 A kind of electric network security and the energy market emulation mode of market economy
CN107909509A (en) * 2017-10-25 2018-04-13 广东电网有限责任公司电力调度控制中心 A kind of electric power and natural gas combined scheduling method for information synergism interaction
CN108062599B (en) * 2017-12-12 2020-08-18 西安交通大学 Modeling method for cooperative operation of electric power system and natural gas system
CN108062599A (en) * 2017-12-12 2018-05-22 西安交通大学 A kind of electric system and the modeling method of natural gas system synthetic operation
CN109829633A (en) * 2019-01-17 2019-05-31 新奥数能科技有限公司 A kind of energy scheduling management method, device, readable medium and electronic equipment
CN109829633B (en) * 2019-01-17 2021-08-27 新奥数能科技有限公司 Energy scheduling management method and device, readable medium and electronic equipment
CN110222970A (en) * 2019-05-30 2019-09-10 天津大学 Consider that the spare gas-of energy storage is electrically coupled integrated energy system flexible scheduling method
CN110222970B (en) * 2019-05-30 2022-12-06 天津大学 Elastic scheduling method of gas-electricity coupling comprehensive energy system considering energy storage reserve
CN110489788A (en) * 2019-07-09 2019-11-22 广东工业大学 A kind of linkage operation method of electrical interconnection
CN113095581A (en) * 2021-04-21 2021-07-09 广东电网有限责任公司电力调度控制中心 Natural gas supply chain safety monitoring and early warning method and system
CN117689190A (en) * 2024-02-04 2024-03-12 国网安徽省电力有限公司合肥供电公司 Cooperative scheduling method for distributed compressed air energy storage
CN117689190B (en) * 2024-02-04 2024-05-03 国网安徽省电力有限公司合肥供电公司 Cooperative scheduling method for distributed compressed air energy storage

Also Published As

Publication number Publication date
CN106602552B (en) 2019-05-14

Similar Documents

Publication Publication Date Title
CN106602552A (en) Power-gas combined scheduling method and system
Chen et al. Pathway toward carbon-neutral electrical systems in China by mid-century with negative CO2 abatement costs informed by high-resolution modeling
US10290064B2 (en) System, method and apparatus for capacity determination for micro grid and tangible computer readable medium
Heussen et al. Unified system-level modeling of intermittent renewable energy sources and energy storage for power system operation
CN104779611B (en) Micro-capacitance sensor economic load dispatching method based on centralized and distributed dual-layer optimization strategy
CN102104251B (en) Microgrid real-time energy optimizing and scheduling method in parallel running mode
Dagdougui et al. Modelling and control of hydrogen and energy flows in a network of green hydrogen refuelling stations powered by mixed renewable energy systems
CN103632205B (en) A kind of consider wind-powered electricity generation and negative rules containing electric automobile Optimization Scheduling
Jiang et al. Research on wind power accommodation for an electricity-heat-gas integrated microgrid system with power-to-gas
Qiu et al. Tri-level mixed-integer optimization for two-stage microgrid dispatch with multi-uncertainties
CN105939029A (en) Method and system for obtaining planning scheme of integrated energy system
CN105576710A (en) Configuration method for distributed power supply in comprehensive energy system
Wu et al. Optimal generation scheduling of a microgrid
WO2005071815A1 (en) An energy network using electrolysers and fuel cells
CN104573875A (en) Low-carbon power source and power grid optimization planning method
CN105243600A (en) Grid power generation adjustment method
Nosratabadi et al. Eco-environmental planning of various energy storages within multi-energy microgrid by stochastic price-based programming inclusive of demand response paradigm
CN107392791B (en) Distributed photovoltaic and gas-electricity hybrid capacity planning method and system for multi-energy complementary system
CN114077934B (en) Comprehensive energy microgrid interconnection system and scheduling method thereof
Toufani et al. Optimization of pumped hydro energy storage systems under uncertainty: a review
Mao et al. Economic Dispatch of Microgrid Considering Fuzzy Control Based Storage Battery Charging and Discharging.
Schellong et al. Optimization of distributed cogeneration systems
Lasemi et al. Smart energy management of thermal power plants by considering liquid fuel dispatching system modeling
Wang et al. Robust unit commitment model based on optimal uncertainty set
Fan et al. The co-development of offshore wind and hydrogen in the UK–a case study of Milford Haven South Wales

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
TR01 Transfer of patent right
TR01 Transfer of patent right

Effective date of registration: 20210429

Address after: 510699 No. 75 Meihua Road, Guangzhou, Guangdong, Yuexiu District

Patentee after: ELECTRIC POWER DISPATCHING CONTROL CENTER OF GUANGDONG POWER GRID Co.,Ltd.

Address before: 510699 No. 75 Meihua Road, Guangzhou, Guangdong, Yuexiu District

Patentee before: ELECTRIC POWER DISPATCHING CONTROL CENTER OF GUANGDONG POWER GRID Co.,Ltd.

Patentee before: TSINGHUA University