CN110378774A - For obtaining the computer installation and method of maximum return Yu optimal parameter of bidding - Google Patents

For obtaining the computer installation and method of maximum return Yu optimal parameter of bidding Download PDF

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CN110378774A
CN110378774A CN201910677021.XA CN201910677021A CN110378774A CN 110378774 A CN110378774 A CN 110378774A CN 201910677021 A CN201910677021 A CN 201910677021A CN 110378774 A CN110378774 A CN 110378774A
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competitive bidding
parameter
model
equipment
gas
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黄安迪
袁智勇
郭祚刚
胡洋
马溪原
周长城
喻磊
雷金勇
陈柔伊
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China Southern Power Grid Co Ltd
Research Institute of Southern Power Grid Co Ltd
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China Southern Power Grid Co Ltd
Research Institute of Southern Power Grid Co Ltd
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Abstract

This application discloses a kind of for obtaining the computer installation and method of maximum return Yu optimal parameter of bidding, comprising: P2G parameter acquisition module is bidded parameter for obtaining P2G equipment;Gas turbine parameter acquisition module is bidded parameter for obtaining gas turbine;Electric car parameter acquisition module is bidded parameter for obtaining electric car sale of electricity;Maximum gain module using parameter of respectively bidding, cooperates with Competitive Bidding Model by distributed apparatus under the constraint condition for meeting each model, obtains each target corresponding to the maximum gain and maximum gain of distributed apparatus collaboration Competitive Bidding Model and bids parameter;The application has obtained optimal trading program corresponding to maximum return, realizes and comprehensively considers purchase electricity sales amount benefit, purchases the monomer for selling a variety of groupings of commodities such as tolerance benefit, frequency regulation capacity income, frequency modulation energy gain and federation policies optimization.

Description

For obtaining the computer installation and method of maximum return Yu optimal parameter of bidding
Technical field
It is the present invention relates to electricity market field, in particular to a kind of by obtaining based on maximum return and optimal parameter of bidding Calculation machine device and method.
Background technique
In the conception of energy internet, basis of the electricity transaction as energy market, using the characteristic of electric energy, more just Victory, the neatly different energy sources in scheduling different zones, when this conception is able to solve China area renewable energy and load Space division matches unbalanced problem, improves whole comprehensive utilization rate of energy source, is an important ring for energy revolution.
Electricity market is a kind of market for having notable feature.Electricity market had both included the market discipline of general merchandise, also by To all kinds of constraints of electric system real time execution, bidding fashion is a complicated research work, at present to distributed apparatus Bidding fashion optimization mostly optimized with monomer based on.
There is a large amount of relevant research to describe electricity transaction process mostly with the mathematical model of independent transaction cost at present Mode carries out Economic Characteristics Analysis and optimizes to the trading strategies of single devices or unit, and participation, which is bidded, is also only monomer most Excellent strategy, and energy internet concept emphasizes that wide area coordinates and optimizes concept, so tending not to obtain better total revenue.
For this reason, it may be necessary to which one kind comprehensively considers each scene, each scene device collaboration is participated in, bigger total revenue can be obtained And the collaboration Ask-Bid System of strategy.
Summary of the invention
In view of this, the purpose of the present invention is to provide a kind of for obtaining the calculating of maximum return Yu optimal parameter of bidding Machine device and method obtains bigger total revenue and strategy.Its concrete scheme is as follows:
It is a kind of for obtaining the computer installation of maximum return Yu optimal parameter of bidding, comprising:
P2G parameter acquisition module is bidded parameter for obtaining P2G equipment, and P2G equipment parameter of bidding includes that P2G is set Standby competitive bidding natural gas power, ahead market competitive bidding purchase power, the capacitance-adjustable up and down of competitive bidding, competitive bidding upper downward energy and Practical electric power;
Gas turbine parameter acquisition module is bidded parameter for obtaining gas turbine, and the gas turbine is bidded parameter packet Include the competitive bidding power output of gas turbine, the capacitance-adjustable up and down of competitive bidding, the upper downward energy of competitive bidding and practical power output;
Electric car parameter acquisition module, bids parameter for obtaining electric car sale of electricity, and the electric car sale of electricity is competing Valence parameter includes the competitive bidding sale of electricity power output of electric car sale of electricity, the capacitance-adjustable up and down of competitive bidding, the upper downward energy of competitive bidding and reality Power output;
Maximum gain module, for based on the independent Competitive Bidding Model of P2G equipment, the independent Competitive Bidding Model of gas turbine, electronic The independent Competitive Bidding Model of automobile and distributed apparatus collaboration Competitive Bidding Model utilize the P2G under the constraint condition for meeting each model Bid parameter, the gas turbine of equipment bids parameter and the electric car sale of electricity is bidded parameter, is set by the distribution Standby collaboration Competitive Bidding Model, maximum gain and the maximum gain institute for obtaining the distributed apparatus collaboration Competitive Bidding Model are right Bid parameter, target gas turbine of the target P2G equipment answered bids parameter and target electric car sale of electricity is bidded parameter;
Wherein, the independent Competitive Bidding Model of P2G equipment be pre-establish target is turned to P2G equipment Income Maximum, institute State P2G equipment bid parameter for input, including sell gas income, frequency regulation capacity income, frequency modulation energy gain and power purchase expense mould Type;
The independent Competitive Bidding Model of gas turbine be pre-establish target, the combustion are turned to gas turbine Income Maximum Gas-turbine bids parameter for input, including selling gas income, frequency regulation capacity income, frequency modulation energy gain and the model for purchasing gas expense;
The independent Competitive Bidding Model of electric car be pre-establish mesh is turned to the electric car sale of electricity Income Maximum Mark, the electric car sale of electricity bids parameter as input, including sells gas income, frequency regulation capacity income, frequency modulation energy gain and purchase The model of gas expense;
Distributed apparatus collaboration Competitive Bidding Model is to pre-establish to integrate global maximum as target, the P2G Bid parameter, the gas turbine of equipment bids parameter and the electric car sale of electricity bids parameter as input, including sale of electricity is received Benefit, the model for selling gas income, frequency regulation capacity income and frequency modulation energy gain;
Wherein, the independent Competitive Bidding Model of the P2G equipment, the independent Competitive Bidding Model of the gas turbine, the electric car list Only Competitive Bidding Model and distributed apparatus collaboration Competitive Bidding Model mutually constrain.
Optionally, the objective function of the independent Competitive Bidding Model of P2G equipment are as follows:
In formula,For the desired value of P2G equipment total revenue;Respectively P2G is set It is standby to sell gas income, frequency regulation capacity income, frequency modulation energy gain and in the power purchase expense of ahead market in scene k;Eup,t、Edn,tRespectively P2G equipment period t buys function in the competitive bidding of ahead market Rate, frequency modulation in the market the upper capacitance-adjustable, lower capacitance-adjustable of competitive bidding, take part in behind power energy market, frequency modulation market practical use electric work Rate, adjust can in the market the up-regulation energy of competitive bidding and lower energy;The reaction of coefficient of frequency modulation is responded under k scene for P2G Response speed,For the reaction response rate for raising, lowering coefficient,For P2G equipment, batteries of electric automobile etc. In the spot exchange ratio of anti-pushing electric network power of each period.
Optionally, the P2G device constraints of the independent Competitive Bidding Model of P2G equipment, comprising:
In formula,The natural gas power traded for P2G equipment in scene k in period t;ηP2GIt is P2G equipment by electric power The energy dress for being converted into natural gas changes efficiency;ψ (t) is 0-1 variable, takes 1 when P2G is in period t starting, otherwise takes 0;PP2G,min And PP2G,maxThe respectively minimum and maximum power of P2G equipment operation;WithIn respectively scene k gas storage equipment when Section t operation power and gas-storing capacity;WithIn respectively scene k the initial gas storage state of gas storage equipment and D+1 days tie Shu Shixu gas-storing capacity to be achieved;Pstr,max、Prel,max、Smax、SminRespectively the rated value of the inflation power of gas storage equipment, put The rated value of qigong rate, minimum and maximum gas-storing capacity.
Optionally, the objective function of the independent Competitive Bidding Model of the gas turbine are as follows:
In formula,For the aggregate earnings value of gas turbine;In respectively scene k Gas turbine is used in the sale of electricity income of ahead market, frequency regulation capacity income, frequency modulation energy gain and purchase gas expense;Eup,t、Edn,tIn respectively period t gas turbine ahead market competitive bidding power output, Frequency modulation in the market the upper capacitance-adjustable, lower capacitance-adjustable of competitive bidding, the practical power output after taking part in power energy market and frequency modulation market, adjusting Can in the market the up-regulation energy of competitive bidding and lower energy;The reaction for responding coefficient of frequency modulation under k scene for gas turbine is rung Rate is answered,For the reaction response rate for raising, lowering coefficient.
Optionally, the gas turbine constraint condition of the independent Competitive Bidding Model of the gas turbine, comprising:
In formula, PNF,minAnd PNF,maxThe respectively minimum and maximum power output of gas turbine;ηNFIt is gas turbine by natural gas Be converted to the energy conversion efficiency of electric energy;μ (t) is 0-1 variable, takes 1 when gas turbine is in period t starting, otherwise takes 0.
Optionally, the objective function of the independent Competitive Bidding Model of the electric car are as follows:
In formula,For the agential aggregate earnings value of electric car;Respectively field Electric car agent uses in the sale of electricity income of ahead market, frequency regulation capacity income, frequency modulation energy gain and purchase gas expense in scape k;Eup,t、Edn,tCompetitive bidding of the electric car agent in ahead market in respectively period t Power output, in frequency modulation, the upper capacitance-adjustable, lower capacitance-adjustable of competitive bidding, the reality after taking part in power energy market and frequency modulation market go out in the market Power, adjust can in the market the up-regulation energy of competitive bidding and lower energy;Frequency modulation is responded under k scene for electric car agent The reaction response rate of coefficient,For the reaction response rate for raising, lowering coefficient,It counter is sent for each period The electricity price of power grid.
Optionally, the electric car constraint condition of the independent Competitive Bidding Model of the electric car, comprising:
In formula, PEV,minAnd PEV,maxThe respectively agential minimum and maximum power output of electric car;ηEVIt is filled for electric car The charge efficiency of electric stake;For the practical power output lower limit after taking part in power energy market and frequency modulation market,For The practical power output upper limit after taking part in power energy market and frequency modulation market.
Optionally, the objective function of the distributed apparatus collaboration Competitive Bidding Model are as follows:
In formula,For the total revenue desired value of alliance;Respectively alliance is on the scene Sale of electricity income in scape k sells gas income, frequency regulation capacity income and frequency modulation energy gain;Exist for period t alliance in scene k The natural gas power of market for natural gas transaction;WithRespectively upper capacitance-adjustable of the period t alliance in frequency modulation competitive bidding in the market With lower capacitance-adjustable; Eup,t、Edn,tRespectively scene k is fired in the period The called upward frequency modulation power of gas-turbine, downward frequency modulation power, P2G equipment called upward frequency modulation power and downward frequency modulation Power, the upward frequency modulation power and downward frequency modulation power that electric car agent is called, adjust can competitive bidding in the market up-regulation Energy and downward energy;For under the period t alliance in k scene respond coefficient of frequency modulation reaction response rate,For the reaction response rate for raising, lowering coefficient.
Optionally, the distributed constraint condition of the distributed apparatus collaboration Competitive Bidding Model, comprising:
In formula,WithP2G equipment, gas turbine and electric car agent exist in respectively scene k The practical electric power of period t and practical power output.
The invention also discloses a kind of methods for obtaining maximum return Yu optimal parameter of bidding, comprising:
It obtains P2G equipment to bid parameter, P2G equipment parameter of bidding includes the competitive bidding natural gas power of P2G equipment, day Preceding market competitive bidding purchase power, the capacitance-adjustable up and down of competitive bidding, competitive bidding upper downward energy and practical electric power;
It obtains gas turbine to bid parameter, gas turbine parameter of bidding includes the competitive bidding power output of gas turbine, competitive bidding Capacitance-adjustable up and down, competitive bidding upper downward energy and practical power output;
It obtains electric car sale of electricity to bid parameter, electric car sale of electricity parameter of bidding includes the competing of electric car sale of electricity Selling tender electricity power output, the capacitance-adjustable up and down of competitive bidding, the upper downward energy of competitive bidding and practical power output;
Based on the independent Competitive Bidding Model of P2G equipment, the independent Competitive Bidding Model of gas turbine, the independent Competitive Bidding Model of electric car and divide Cloth equipment collaboration Competitive Bidding Model is bidded parameter, the combustion under the constraint condition for meeting each model using the P2G equipment Parameter that gas-turbine bids parameter and the electric car sale of electricity is bidded, cooperates with Competitive Bidding Model by the distributed apparatus, obtains Target P2G equipment corresponding to the maximum gain and the maximum gain of the distributed apparatus collaboration Competitive Bidding Model is bidded Parameter that parameter, target gas turbine bid parameter and target electric car sale of electricity is bidded;
Wherein, the independent Competitive Bidding Model of P2G equipment be pre-establish target is turned to P2G equipment Income Maximum, institute State P2G equipment bid parameter for input, including sell gas income, frequency regulation capacity income, frequency modulation energy gain and power purchase expense mould Type;
The independent Competitive Bidding Model of gas turbine be pre-establish target, the combustion are turned to gas turbine Income Maximum Gas-turbine bids parameter for input, including selling gas income, frequency regulation capacity income, frequency modulation energy gain and the model for purchasing gas expense;
The independent Competitive Bidding Model of electric car be pre-establish mesh is turned to the electric car sale of electricity Income Maximum Mark, the electric car sale of electricity bids parameter as input, including sells gas income, frequency regulation capacity income, frequency modulation energy gain and purchase The model of gas expense;
Distributed apparatus collaboration Competitive Bidding Model is to pre-establish to integrate global maximum as target, the P2G Bid parameter, the gas turbine of equipment bids parameter and the electric car sale of electricity bids parameter as input, including sale of electricity is received Benefit, the model for selling gas income, frequency regulation capacity income and frequency modulation energy gain;
Wherein, the independent Competitive Bidding Model of the P2G equipment, the independent Competitive Bidding Model of the gas turbine, the electric car list Only Competitive Bidding Model and distributed apparatus collaboration Competitive Bidding Model mutually constrain.
In the present invention, for obtaining the computer installation of maximum return Yu optimal parameter of bidding, comprising: P2G parameter obtains Module, for obtain the competitive bidding purchase power of the competitive bidding natural gas power of P2G equipment, ahead market, the capacitance-adjustable up and down of competitive bidding, The upper downward energy of competitive bidding and practical electric power obtain P2G equipment and bid parameter;Gas turbine parameter acquisition module, is used for The competitive bidding power output of gas turbine, the capacitance-adjustable up and down of competitive bidding, the upper downward energy of competitive bidding and practical power output are obtained, combustion gas wheel is obtained Machine is bidded parameter;Electric car parameter acquisition module, for obtain the competitive bidding sale of electricity power output of electric car sale of electricity, competitive bidding up and down Capacitance-adjustable, the upper downward energy of competitive bidding and practical power output obtain electric car sale of electricity and bid parameter;Maximum gain module is used It is set in based on the independent Competitive Bidding Model of P2G equipment, the independent Competitive Bidding Model of gas turbine, the independent Competitive Bidding Model of electric car and distribution Standby collaboration Competitive Bidding Model is bidded parameter under the constraint condition for meeting each model using bid parameter, gas turbine of P2G equipment It bids parameter with electric car sale of electricity, Competitive Bidding Model is cooperateed with by distributed apparatus, obtain distributed apparatus collaboration Competitive Bidding Model Maximum gain and maximum gain corresponding to bid parameter, target gas turbine of target P2G equipment bid parameter and mesh Mark electric car sale of electricity is bidded parameter;Wherein, the independent Competitive Bidding Model of P2G equipment is to pre-establish with P2G equipment Income Maximum Target is turned to, P2G equipment bids parameter as input, including sells gas income, frequency regulation capacity income, frequency modulation energy gain and power purchase expense Model;The independent Competitive Bidding Model of gas turbine be pre-establish target, gas turbine are turned to gas turbine Income Maximum Parameter of bidding is input, including selling gas income, frequency regulation capacity income, frequency modulation energy gain and the model for purchasing gas expense;Electronic vapour The independent Competitive Bidding Model of vehicle be pre-establish target is turned to electric car sale of electricity Income Maximum, electric car sale of electricity is bidded parameter To input, including selling gas income, frequency regulation capacity income, frequency modulation energy gain and the model for purchasing gas expense;Distributed apparatus collaboration Competitive Bidding Model is to pre-establish to integrate global maximum as target, P2G equipment bid parameter, gas turbine bid parameter and Electric car sale of electricity bids parameter as input, including sale of electricity income, sells gas income, frequency regulation capacity income and frequency modulation energy gain Model;Wherein, the independent Competitive Bidding Model of P2G equipment, the independent Competitive Bidding Model of gas turbine, the independent Competitive Bidding Model of electric car and distribution Formula equipment collaboration Competitive Bidding Model mutually constrains.
The present invention by establishing the independent Competitive Bidding Model of three kinds of P2G equipment, gas turbine and electric car agent scenes, The input parameter under each scene is constrained, recycles the distributed collaboration Competitive Bidding Model for combining each scene income to defeated under each scene The parameter of bidding entered is calculated, and maximum return is obtained, while being obtained corresponding target P2G equipment and being bidded parameter, target combustion gas Parameter that turbine bids parameter and target electric car sale of electricity is bidded, has obtained optimal trading program corresponding to maximum return, real Show and has comprehensively considered purchase electricity sales amount benefit, purchases and sell a variety of groupings of commodities such as tolerance benefit, frequency regulation capacity income, frequency modulation energy gain Monomer and federation policies optimization.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this The embodiment of invention for those of ordinary skill in the art without creative efforts, can also basis The attached drawing of offer obtains other attached drawings.
Fig. 1 is disclosed by the embodiments of the present invention a kind of for obtaining the computer installation of maximum return Yu optimal parameter of bidding Structural schematic diagram;
Fig. 2 is that a kind of method flow for obtaining maximum return and optimal parameter of bidding disclosed by the embodiments of the present invention shows It is intended to.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other Embodiment shall fall within the protection scope of the present invention.
The embodiment of the invention discloses a kind of for obtaining the computer installation of maximum return Yu optimal parameter of bidding, referring to Shown in Fig. 1, which includes:
P2G parameter acquisition module 1 is bidded parameter for obtaining P2G equipment, and P2G equipment parameter of bidding includes P2G equipment Competitive bidding purchase power, the capacitance-adjustable up and down of competitive bidding, the upper downward energy of competitive bidding and the reality of competitive bidding natural gas power, ahead market Electric power;
Gas turbine parameter acquisition module 2 is bidded parameter for obtaining gas turbine, and gas turbine parameter of bidding includes combustion The competitive bidding power output of gas-turbine, the capacitance-adjustable up and down of competitive bidding, the upper downward energy of competitive bidding and practical power output;
Electric car parameter acquisition module 3 is bidded parameter for obtaining electric car sale of electricity, and electric car sale of electricity is bidded ginseng Number includes the competitive bidding sale of electricity power output of electric car sale of electricity, the capacitance-adjustable up and down of competitive bidding, the upper downward energy of competitive bidding and practical power output;
Maximum gain module 4, for based on the independent Competitive Bidding Model of P2G equipment, the independent Competitive Bidding Model of gas turbine, electronic The independent Competitive Bidding Model of automobile and distributed apparatus collaboration Competitive Bidding Model utilize P2G equipment under the constraint condition for meeting each model Bid parameter, gas turbine bids parameter and electric car sale of electricity is bidded parameter, cooperates with Competitive Bidding Model by distributed apparatus, obtains To distributed apparatus collaboration Competitive Bidding Model maximum gain and maximum gain corresponding to target P2G equipment bid parameter, Parameter that target gas turbine bids parameter and target electric car sale of electricity is bidded;
Wherein, the independent Competitive Bidding Model of P2G equipment be pre-establish target, P2G equipment are turned to P2G equipment Income Maximum Parameter of bidding be input, including sell gas income, frequency regulation capacity income, frequency modulation energy gain and power purchase expense model;
The independent Competitive Bidding Model of gas turbine be pre-establish target is turned to gas turbine Income Maximum, gas turbine is competing Valence parameter is input, including selling gas income, frequency regulation capacity income, frequency modulation energy gain and the model for purchasing gas expense;
The independent Competitive Bidding Model of electric car be pre-establish target, electronic vapour are turned to electric car sale of electricity Income Maximum Vehicle sale of electricity bids parameter for input, including selling gas income, frequency regulation capacity income, frequency modulation energy gain and the model for purchasing gas expense;
It is to pre-establish to integrate global maximum as target that distributed apparatus, which cooperates with Competitive Bidding Model, and P2G equipment is bidded Parameter that parameter, gas turbine bid parameter and electric car sale of electricity is bidded is input, including sale of electricity income, sells gas income, frequency modulation The model of capacity gain and frequency modulation energy gain;
Wherein, the independent Competitive Bidding Model of P2G equipment, the independent Competitive Bidding Model of gas turbine, the independent Competitive Bidding Model of electric car and Distributed apparatus collaboration Competitive Bidding Model mutually constrains.
Specifically, P2G equipment buys power from electric system, and market for natural gas is neatly participated in using gas storage equipment There is a possibility that fluctuation profit using Gas Prices in (buying or sell natural gas).P2G equipment can be electricity simultaneously Force system provides the ancillary services such as frequency modulation to obtain extra returns.P2G equipment participates in electricity market within the T period on the one thus It can be described with the independent Competitive Bidding Model of P2G equipment with the bidding strategies of market for natural gas.
Specifically, gas turbine buys natural gas in market for natural gas, electric power is sold in the power system.Gas turbine Fast response time can also participate in electric power frequency modulation market to obtain extra returns.Gas turbine participates in electricity within the T period on the one The bidding strategies of power market and market for natural gas can be described with the independent Competitive Bidding Model of gas turbine.
Specifically, electric car agent buys power in the power system, by car owner collect charging expense to It makes a profit.Electric car charges, and Load Regulation ability is strong, and fast response time can also participate in electric power frequency modulation market to obtain additional receipts Benefit.Electric car participates in electricity market within the T period on the one and the bidding strategies of market for natural gas can be independent with electric car Competitive Bidding Model description.
Specifically, P2G equipment, gas turbine and electric car agent alliance participate in electric power city within the T period on the one The bidding strategies of field and market for natural gas can use distributed apparatus to cooperate with Competitive Bidding Model description.
Further, United Dispatching is carried out in order to integrate each scene, same optimization realizes that income is shared, first The independent Competitive Bidding Model of P2G equipment, the independent Competitive Bidding Model of gas turbine and the independent Competitive Bidding Model of electric car are established, each model is established Relationship between middle parameter, establishes constraint condition, determines parameter area, and distributed apparatus collaboration Competitive Bidding Model, P2G is recycled to set Parameter that standby bid parameter, gas turbine bid parameter and electric car sale of electricity is bidded, is solved, obtains maximum return, this is most Big income combines P2G equipment, gas turbine and the agential maximum return of electric car, therefore, corresponding target P2G Bid parameter, target gas turbine of equipment bids parameter and target electric car sale of electricity parameter of bidding just is optimized parameter, thus Optimal trading program corresponding to maximum return is obtained.
As it can be seen that the embodiment of the present invention is by establishing the list of three kinds of P2G equipment, gas turbine and electric car agent scenes Only Competitive Bidding Model, constrains the input parameter under each scene, and the distributed collaboration for combining each scene income is recycled to bid mould Type calculates the parameter of bidding inputted under each scene, obtains maximum return, while obtaining corresponding target P2G equipment and bidding Parameter that parameter, target gas turbine bid parameter and target electric car sale of electricity is bidded, has obtained corresponding to maximum return most Excellent trading program realizes and comprehensively considers purchase electricity sales amount benefit, purchases and sell tolerance benefit, frequency regulation capacity income, frequency modulation energy gain Monomer and federation policies etc. a variety of groupings of commodities optimize.
Specifically, the objective function of the above-mentioned independent Competitive Bidding Model of P2G equipment are as follows:
In formula,For the desired value of P2G equipment total revenue;Respectively P2G is set It is standby scene k sell gas income, frequency regulation capacity income, frequency modulation energy gain (positive value indicates that income/negative value indicates expenditure) and The power purchase expense of ahead market;Eup,t、Edn,tRespectively P2G equipment period t exists Ahead market competitive bidding purchase power, frequency modulation in the market the upper capacitance-adjustable, lower capacitance-adjustable of competitive bidding, take part in power energy market, adjust Practical electric power behind frequency market is being adjusted and the up-regulation energy of competitive bidding and can lower energy in the market;It is P2G in k scene The reaction response rate (slope) of lower response coefficient of frequency modulation, belongs to unit self character,To raise, lowering coefficient Reaction response rate (slope),For P2G equipment, batteries of electric automobile etc. anti-pushing electric network power of each period stock Ratio of exchange.
Specifically, the P2G device constraints of the above-mentioned independent Competitive Bidding Model of P2G equipment, comprising:
In formula,(positive value indicates to sell/negative value table the natural gas power traded for P2G equipment in scene k in period t Show and buy);ηP2GThe energy dress that electric power is converted into natural gas is changed into efficiency for P2G equipment;ψ (t) be 0-1 variable, when P2G when 1 is taken when section t starting, otherwise takes 0;PP2G,minAnd PP2G,maxThe respectively minimum and maximum power of P2G equipment operation;With Gas storage equipment runs power (positive value indicates that inflation/negative value indicates to deflate) and gas-storing capacity in period t in respectively scene k;WithThe initial gas storage state of gas storage equipment and the need gas-storing capacity to be achieved in D+1 end of day in respectively scene k; Pstr,max、Prel,max、Smax、SminRespectively the rated value of the inflation power of gas storage equipment, the rated value of deflation power, maximum and Minimum gas-storing capacity.
Specifically, the objective function of the above-mentioned independent Competitive Bidding Model of gas turbine are as follows:
In formula,For the aggregate earnings value of gas turbine;It is fired in respectively scene k Gas-turbine is used in the sale of electricity income of ahead market, frequency regulation capacity income, frequency modulation energy gain and purchase gas expense;Eup,t、Edn,tIn respectively period t gas turbine ahead market competitive bidding power output, Frequency modulation in the market the upper capacitance-adjustable, lower capacitance-adjustable of competitive bidding, the practical power output after taking part in power energy market and frequency modulation market, adjusting Can in the market the up-regulation energy of competitive bidding and lower energy;The reaction for responding coefficient of frequency modulation under k scene for gas turbine is rung Rate (slope) is answered, unit self character is belonged to,For the reaction response rate (slope) for raising, lowering coefficient.
Specifically, the gas turbine constraint condition of the above-mentioned independent Competitive Bidding Model of gas turbine, comprising:
In formula, PNF,minAnd PNF,maxThe respectively minimum and maximum power output of gas turbine;ηNFIt is gas turbine by natural gas Be converted to the energy conversion efficiency of electric energy;μ (t) is 0-1 variable, takes 1 when gas turbine is in period t starting, otherwise takes 0.
Specifically, the objective function of the above-mentioned independent Competitive Bidding Model of electric car are as follows:
In formula,For the agential aggregate earnings value of electric car;Respectively field Electric car agent uses in the sale of electricity income of ahead market, frequency regulation capacity income, frequency modulation energy gain and purchase gas expense in scape k;Eup,t、Edn,tCompetitive bidding of the electric car agent in ahead market in respectively period t Power output, in frequency modulation, the upper capacitance-adjustable, lower capacitance-adjustable of competitive bidding, the reality after taking part in power energy market and frequency modulation market go out in the market Power, adjust can in the market the up-regulation energy of competitive bidding and lower energy;Frequency modulation is responded under k scene for electric car agent The reaction response rate (slope) of coefficient, belongs to unit self character,For the reaction response for raising, lowering coefficient Rate (slope),For the electricity price of anti-pushing electric network of each period.
Specifically, the electric car constraint condition of the above-mentioned independent Competitive Bidding Model of electric car, comprising:
In formula, PEV,minAnd PEV,maxThe respectively agential minimum and maximum power output of electric car;ηEVIt is filled for electric car The charge efficiency of electric stake;For the practical power output lower limit after taking part in power energy market and frequency modulation market,For The practical power output upper limit after taking part in power energy market and frequency modulation market.
Specifically, the objective function of above-mentioned distributed apparatus collaboration Competitive Bidding Model are as follows:
In formula,For the total revenue desired value of alliance;Respectively alliance is on the scene Sale of electricity income in scape k sells gas income, frequency regulation capacity income and frequency modulation energy gain;Exist for period t alliance in scene k The natural gas power of market for natural gas transaction;WithRespectively upper capacitance-adjustable of the period t alliance in frequency modulation competitive bidding in the market With lower capacitance-adjustable; Eup,t、Edn,tRespectively scene k is fired in the period The called upward frequency modulation power of gas-turbine, downward frequency modulation power, P2G equipment called upward frequency modulation power and downward frequency modulation Power, the upward frequency modulation power and downward frequency modulation power that electric car agent is called, adjust can competitive bidding in the market up-regulation Energy and downward energy;For under the period t alliance in k scene respond coefficient of frequency modulation reaction response rate (slope),For the reaction response rate (slope) for raising, lowering coefficient.
Specifically, the distributed constraint condition of above-mentioned distributed apparatus collaboration Competitive Bidding Model, comprising:
In formula,WithP2G equipment, gas turbine and electric car agent exist in respectively scene k The practical electric power of period t and practical power output.
Correspondingly, the embodiment of the invention also discloses a kind of method for obtaining maximum return Yu optimal parameter of bidding, It is shown in Figure 2, this method comprises:
S11: obtaining P2G equipment and bid parameter, and P2G equipment parameter of bidding includes the competitive bidding natural gas power of P2G equipment, day Preceding market competitive bidding purchase power, the capacitance-adjustable up and down of competitive bidding, competitive bidding upper downward energy and practical electric power;
S12: obtaining gas turbine and bid parameter, and gas turbine parameter of bidding includes the competitive bidding power output of gas turbine, competitive bidding Capacitance-adjustable up and down, competitive bidding upper downward energy and practical power output;
S13: obtaining electric car sale of electricity and bid parameter, and electric car sale of electricity parameter of bidding includes the competing of electric car sale of electricity Selling tender electricity power output, the capacitance-adjustable up and down of competitive bidding, the upper downward energy of competitive bidding and practical power output;
S14: the independent Competitive Bidding Model of P2G equipment, the independent Competitive Bidding Model of gas turbine, the independent Competitive Bidding Model of electric car are based on Competitive Bidding Model is cooperateed with distributed apparatus, under the constraint condition for meeting each model, is bidded parameter, combustion gas wheel using P2G equipment Parameter that machine bids parameter and electric car sale of electricity is bidded, cooperates with Competitive Bidding Model by distributed apparatus, obtains distributed apparatus association Bid parameter, target gas turbine of target P2G equipment corresponding to maximum gain and maximum gain with Competitive Bidding Model is competing Valence parameter and target electric car sale of electricity are bidded parameter;
Wherein, the independent Competitive Bidding Model of P2G equipment be pre-establish target, P2G equipment are turned to P2G equipment Income Maximum Parameter of bidding be input, including sell gas income, frequency regulation capacity income, frequency modulation energy gain and power purchase expense model;
The independent Competitive Bidding Model of gas turbine be pre-establish target is turned to gas turbine Income Maximum, gas turbine is competing Valence parameter is input, including selling gas income, frequency regulation capacity income, frequency modulation energy gain and the model for purchasing gas expense;
The independent Competitive Bidding Model of electric car be pre-establish target, electronic vapour are turned to electric car sale of electricity Income Maximum Vehicle sale of electricity bids parameter for input, including selling gas income, frequency regulation capacity income, frequency modulation energy gain and the model for purchasing gas expense;
It is to pre-establish to integrate global maximum as target that distributed apparatus, which cooperates with Competitive Bidding Model, and P2G equipment is bidded Parameter that parameter, gas turbine bid parameter and electric car sale of electricity is bidded is input, including sale of electricity income, sells gas income, frequency modulation The model of capacity gain and frequency modulation energy gain.
It is understood that S11 may be performed simultaneously to sequencing is not carried out between S13.
As it can be seen that the embodiment of the present invention is by establishing the list of three kinds of P2G equipment, gas turbine and electric car agent scenes Only Competitive Bidding Model, constrains the input parameter under each scene, and the distributed collaboration for combining each scene income is recycled to bid mould Type calculates the parameter of bidding inputted under each scene, obtains maximum return, while obtaining corresponding target P2G equipment and bidding Parameter that parameter, target gas turbine bid parameter and target electric car sale of electricity is bidded, has obtained corresponding to maximum return most Excellent trading program realizes and comprehensively considers purchase electricity sales amount benefit, purchases and sell tolerance benefit, frequency regulation capacity income, frequency modulation energy gain Monomer and federation policies etc. a variety of groupings of commodities optimize.
Specifically, the objective function of the above-mentioned independent Competitive Bidding Model of P2G equipment are as follows:
In formula,For the desired value of P2G equipment total revenue;Respectively P2G is set It is standby scene k sell gas income, frequency regulation capacity income, frequency modulation energy gain (positive value indicates that income/negative value indicates expenditure) and The power purchase expense of ahead market;Eup,t、Edn,tRespectively P2G equipment period t exists Ahead market competitive bidding purchase power, frequency modulation in the market the upper capacitance-adjustable, lower capacitance-adjustable of competitive bidding, take part in power energy market, adjust Practical electric power behind frequency market is being adjusted and the up-regulation energy of competitive bidding and can lower energy in the market;It is P2G in k scene The reaction response rate (slope) of lower response coefficient of frequency modulation, belongs to unit self character,To raise, lowering coefficient Reaction response rate (slope),For P2G equipment, batteries of electric automobile etc. anti-pushing electric network power of each period stock Ratio of exchange.
Specifically, the P2G device constraints of the above-mentioned independent Competitive Bidding Model of P2G equipment, comprising:
In formula,(positive value indicates to sell/negative value table the natural gas power traded for P2G equipment in scene k in period t Show and buy);ηP2GThe energy dress that electric power is converted into natural gas is changed into efficiency for P2G equipment;ψ (t) be 0-1 variable, when P2G when 1 is taken when section t starting, otherwise takes 0;PP2G,minAnd PP2G,maxThe respectively minimum and maximum power of P2G equipment operation;With Gas storage equipment runs power (positive value indicates that inflation/negative value indicates to deflate) and gas-storing capacity in period t in respectively scene k;WithThe initial gas storage state of gas storage equipment and the need gas-storing capacity to be achieved in D+1 end of day in respectively scene k; Pstr,max、Prel,max、Smax、SminRespectively the rated value of the inflation power of gas storage equipment, the rated value of deflation power, maximum and Minimum gas-storing capacity.
Specifically, the objective function of the above-mentioned independent Competitive Bidding Model of gas turbine are as follows:
In formula,For the aggregate earnings value of gas turbine;In respectively scene k Gas turbine is used in the sale of electricity income of ahead market, frequency regulation capacity income, frequency modulation energy gain and purchase gas expense;Eup,t、Edn,tIn respectively period t gas turbine ahead market competitive bidding power output, Frequency modulation in the market the upper capacitance-adjustable, lower capacitance-adjustable of competitive bidding, the practical power output after taking part in power energy market and frequency modulation market, adjusting Can in the market the up-regulation energy of competitive bidding and lower energy;The reaction for responding coefficient of frequency modulation under k scene for gas turbine is rung Rate (slope) is answered, unit self character is belonged to,For the reaction response rate (slope) for raising, lowering coefficient.
Specifically, the gas turbine constraint condition of the above-mentioned independent Competitive Bidding Model of gas turbine, comprising:
In formula, PNF,minAnd PNF,maxThe respectively minimum and maximum power output of gas turbine;ηNFIt is gas turbine by natural gas Be converted to the energy conversion efficiency of electric energy;μ (t) is 0-1 variable, takes 1 when gas turbine is in period t starting, otherwise takes 0.
Specifically, the objective function of the above-mentioned independent Competitive Bidding Model of electric car are as follows:
In formula,For the agential aggregate earnings value of electric car;Respectively field Electric car agent uses in the sale of electricity income of ahead market, frequency regulation capacity income, frequency modulation energy gain and purchase gas expense in scape k;Eup,t、Edn,tCompetitive bidding of the electric car agent in ahead market in respectively period t Power output, in frequency modulation, the upper capacitance-adjustable, lower capacitance-adjustable of competitive bidding, the reality after taking part in power energy market and frequency modulation market go out in the market Power, adjust can in the market the up-regulation energy of competitive bidding and lower energy;Frequency modulation is responded under k scene for electric car agent The reaction response rate (slope) of coefficient, belongs to unit self character,For the reaction response for raising, lowering coefficient Rate (slope),For the electricity price of anti-pushing electric network of each period.
Specifically, the electric car constraint condition of the above-mentioned independent Competitive Bidding Model of electric car, comprising:
In formula, PEV,minAnd PEV,maxThe respectively agential minimum and maximum power output of electric car;ηEVIt is filled for electric car The charge efficiency of electric stake;For the practical power output lower limit after taking part in power energy market and frequency modulation market,For The practical power output upper limit after taking part in power energy market and frequency modulation market.
Specifically, the objective function of above-mentioned distributed apparatus collaboration Competitive Bidding Model are as follows:
In formula,For the total revenue desired value of alliance;Respectively alliance is on the scene Sale of electricity income in scape k sells gas income, frequency regulation capacity income and frequency modulation energy gain;Exist for period t alliance in scene k The natural gas power of market for natural gas transaction;WithRespectively upper capacity transfer of the period t alliance in frequency modulation competitive bidding in the market Amount and lower capacitance-adjustable; Eup,t、Edn,tRespectively scene k is in the period The called upward frequency modulation power of gas turbine, downward frequency modulation power, the called upward frequency modulation power of P2G equipment and to downward Frequency power, the upward frequency modulation power and downward frequency modulation power that electric car agent is called, adjust can competitive bidding in the market it is upper It adjusts energy and lowers energy;For under the period t alliance in k scene respond coefficient of frequency modulation reaction response rate (slope),For the reaction response rate (slope) for raising, lowering coefficient.
Specifically, the distributed constraint condition of above-mentioned distributed apparatus collaboration Competitive Bidding Model, comprising:
In formula,WithP2G equipment, gas turbine and electric car agent exist in respectively scene k The practical electric power of period t and practical power output.
Finally, it is to be noted that, herein, relational terms such as first and second and the like be used merely to by One entity or operation are distinguished with another entity or operation, without necessarily requiring or implying these entities or operation Between there are any actual relationship or orders.Moreover, the terms "include", "comprise" or its any other variant meaning Covering non-exclusive inclusion, so that the process, method, article or equipment for including a series of elements not only includes that A little elements, but also including other elements that are not explicitly listed, or further include for this process, method, article or The intrinsic element of equipment.In the absence of more restrictions, the element limited by sentence "including a ...", is not arranged Except there is also other identical elements in the process, method, article or apparatus that includes the element.
Professional further appreciates that, unit described in conjunction with the examples disclosed in the embodiments of the present disclosure And algorithm steps, can be realized with electronic hardware, computer software, or a combination of the two, in order to clearly demonstrate hardware and The interchangeability of software generally describes each exemplary composition and step according to function in the above description.These Function is implemented in hardware or software actually, the specific application and design constraint depending on technical solution.Profession Technical staff can use different methods to achieve the described function each specific application, but this realization is not answered Think beyond the scope of this invention.
Technology contents provided by the present invention are described in detail above, specific case used herein is to this hair Bright principle and embodiment is expounded, method of the invention that the above embodiments are only used to help understand and its Core concept;At the same time, for those skilled in the art, according to the thought of the present invention, in specific embodiment and application There will be changes in range, in conclusion the contents of this specification are not to be construed as limiting the invention.

Claims (10)

1. a kind of for obtaining the computer installation of maximum return Yu optimal parameter of bidding characterized by comprising
P2G parameter acquisition module is bidded parameter for obtaining P2G equipment, and P2G equipment parameter of bidding includes P2G equipment Competitive bidding purchase power, the capacitance-adjustable up and down of competitive bidding, the upper downward energy of competitive bidding and the reality of competitive bidding natural gas power, ahead market Electric power;
Gas turbine parameter acquisition module is bidded parameter for obtaining gas turbine, and gas turbine parameter of bidding includes combustion The competitive bidding power output of gas-turbine, the capacitance-adjustable up and down of competitive bidding, the upper downward energy of competitive bidding and practical power output;
Electric car parameter acquisition module is bidded parameter for obtaining electric car sale of electricity, and the electric car sale of electricity is bidded ginseng Number includes the competitive bidding sale of electricity power output of electric car sale of electricity, the capacitance-adjustable up and down of competitive bidding, the upper downward energy of competitive bidding and practical power output;
Maximum gain module, for being based on the independent Competitive Bidding Model of P2G equipment, the independent Competitive Bidding Model of gas turbine, electric car Independent Competitive Bidding Model and distributed apparatus collaboration Competitive Bidding Model utilize the P2G equipment under the constraint condition for meeting each model Bid parameter, the gas turbine bids parameter and the electric car sale of electricity is bidded parameter, is assisted by the distributed apparatus Same Competitive Bidding Model obtains corresponding to the maximum gain and the maximum gain of the distributed apparatus collaboration Competitive Bidding Model Bid parameter, target gas turbine of target P2G equipment bids parameter and target electric car sale of electricity is bidded parameter;
Wherein, the independent Competitive Bidding Model of P2G equipment be pre-establish target, the P2G are turned to P2G equipment Income Maximum Equipment bid parameter for input, including sell gas income, frequency regulation capacity income, frequency modulation energy gain and power purchase expense model;
The independent Competitive Bidding Model of gas turbine be pre-establish target, the combustion gas wheel are turned to gas turbine Income Maximum Machine bids parameter for input, including selling gas income, frequency regulation capacity income, frequency modulation energy gain and the model for purchasing gas expense;
The independent Competitive Bidding Model of electric car be pre-establish target is turned to the electric car sale of electricity Income Maximum, institute It states electric car sale of electricity and bids parameter as input, including sell gas income, frequency regulation capacity income, frequency modulation energy gain and purchase gas expense and use Model;
Distributed apparatus collaboration Competitive Bidding Model is to pre-establish to integrate global maximum as target, the P2G equipment Bid parameter, the gas turbine bids parameter and the electric car sale of electricity bids parameter as input, including sale of electricity income, sells The model of gas income, frequency regulation capacity income and frequency modulation energy gain;
Wherein, the independent Competitive Bidding Model of the P2G equipment, the independent Competitive Bidding Model of the gas turbine, the electric car are individually competing Valence model and distributed apparatus collaboration Competitive Bidding Model mutually constrain.
2. according to claim 1 for obtaining the computer installation of maximum return Yu optimal parameter of bidding, feature exists In the objective function of the independent Competitive Bidding Model of P2G equipment are as follows:
In formula,For the desired value of P2G equipment total revenue;Respectively P2G equipment exists Scene k's sells gas income, frequency regulation capacity income, frequency modulation energy gain and the power purchase expense in ahead market;Eup,t、Edn,tRespectively P2G equipment period t buys function in the competitive bidding of ahead market Rate, frequency modulation in the market the upper capacitance-adjustable, lower capacitance-adjustable of competitive bidding, take part in behind power energy market, frequency modulation market practical use electric work Rate, adjust can in the market the up-regulation energy of competitive bidding and lower energy;The reaction of coefficient of frequency modulation is responded under k scene for P2G Response speed,For the reaction response rate for raising, lowering coefficient,For P2G equipment, batteries of electric automobile etc. In the spot exchange ratio of anti-pushing electric network power of each period.
3. according to claim 2 for obtaining the computer installation of maximum return Yu optimal parameter of bidding, feature exists In the P2G device constraints of the independent Competitive Bidding Model of P2G equipment, comprising:
In formula,The natural gas power traded for P2G equipment in scene k in period t;ηP2GElectric power is converted for P2G equipment Efficiency is changed for the energy dress of natural gas;ψ (t) is 0-1 variable, takes 1 when P2G is in period t starting, otherwise takes 0;PP2G,minWith PP2G,maxThe respectively minimum and maximum power of P2G equipment operation;WithGas storage equipment is in period t in respectively scene k Run power and gas-storing capacity;WithThe initial gas storage state of gas storage equipment and in D+1 end of day in respectively scene k When need gas-storing capacity to be achieved;Pstr,max、Prel,max、Smax、SminThe respectively rated value of the inflation power of gas storage equipment, deflation The rated value of power, minimum and maximum gas-storing capacity.
4. according to claim 1 for obtaining the computer installation of maximum return Yu optimal parameter of bidding, feature exists In the objective function of the independent Competitive Bidding Model of gas turbine are as follows:
In formula,For the aggregate earnings value of gas turbine;Combustion gas in respectively scene k Turbine is used in the sale of electricity income of ahead market, frequency regulation capacity income, frequency modulation energy gain and purchase gas expense;Eup,t、Edn,tIn respectively period t gas turbine ahead market competitive bidding power output, Frequency modulation in the market the upper capacitance-adjustable, lower capacitance-adjustable of competitive bidding, the practical power output after taking part in power energy market and frequency modulation market, adjusting Can in the market the up-regulation energy of competitive bidding and lower energy;The reaction for responding coefficient of frequency modulation under k scene for gas turbine is rung Rate is answered,For the reaction response rate for raising, lowering coefficient.
5. according to claim 4 for obtaining the computer installation of maximum return Yu optimal parameter of bidding, feature exists In the gas turbine constraint condition of the independent Competitive Bidding Model of gas turbine, comprising:
In formula, PNF,minAnd PNF,maxThe respectively minimum and maximum power output of gas turbine;ηNFIt is gas turbine by natural gas shift For the energy conversion efficiency of electric energy;μ (t) is 0-1 variable, takes 1 when gas turbine is in period t starting, otherwise takes 0.
6. according to claim 1 for obtaining the computer installation of maximum return Yu optimal parameter of bidding, feature exists In the objective function of the independent Competitive Bidding Model of electric car are as follows:
In formula,For the agential aggregate earnings value of electric car;In respectively scene k Electric car agent uses in the sale of electricity income of ahead market, frequency regulation capacity income, frequency modulation energy gain and purchase gas expense;EUp, t、EDn, tCompetitive bidding of the electric car agent in ahead market in respectively period t Power output, in frequency modulation, the upper capacitance-adjustable, lower capacitance-adjustable of competitive bidding, the reality after taking part in power energy market and frequency modulation market go out in the market Power, adjust can in the market the up-regulation energy of competitive bidding and lower energy;Frequency modulation is responded under k scene for electric car agent The reaction response rate of coefficient,For the reaction response rate for raising, lowering coefficient,It counter is sent for each period The electricity price of power grid.
7. according to claim 6 for obtaining the computer installation of maximum return Yu optimal parameter of bidding, feature exists In the electric car constraint condition of the independent Competitive Bidding Model of electric car, comprising:
In formula, PEV, minAnd PEV, maxThe respectively agential minimum and maximum power output of electric car;ηEVFor electric automobile charging pile Charge efficiency;For the practical power output lower limit after taking part in power energy market and frequency modulation market,To participate in The practical power output upper limit after power energy market and frequency modulation market.
8. according to claim 1 for obtaining the computer installation of maximum return Yu optimal parameter of bidding, feature exists In the objective function of the distributed apparatus collaboration Competitive Bidding Model are as follows:
In formula,For the total revenue desired value of alliance;Respectively alliance is in scene k Sale of electricity income, sell gas income, frequency regulation capacity income and frequency modulation energy gain;It is period t alliance in scene k natural The natural gas power of gas marketing;WithRespectively period t alliance frequency modulation in the market the upper capacitance-adjustable of competitive bidding and Lower capacitance-adjustable; Eup,t、Edn,tRespectively scene k is in period combustion gas The called upward frequency modulation power of turbine, downward frequency modulation power, P2G equipment called upward frequency modulation power and downward frequency modulation function Rate, the upward frequency modulation power and downward frequency modulation power that electric car agent is called, adjust can competitive bidding in the market up-regulation energy Amount and downward energy;For under the period t alliance in k scene respond coefficient of frequency modulation reaction response rate, For the reaction response rate for raising, lowering coefficient.
9. according to claim 8 for obtaining the computer installation of maximum return Yu optimal parameter of bidding, feature exists In the distributed constraint condition of the distributed apparatus collaboration Competitive Bidding Model, comprising:
In formula,WithIn respectively scene k P2G equipment, gas turbine and electric car agent when The practical electric power of section t and practical power output.
10. a kind of method for obtaining maximum return Yu optimal parameter of bidding characterized by comprising
It obtains P2G equipment to bid parameter, P2G equipment parameter of bidding includes the competitive bidding natural gas power of P2G equipment, city a few days ago Competitive bidding purchase power, the capacitance-adjustable up and down of competitive bidding, competitive bidding upper downward energy and practical electric power;
Gas turbine is obtained to bid parameter, the gas turbine bid parameter include the competitive bidding power output of gas turbine, competitive bidding it is upper Lower capacitance-adjustable, the upper downward energy of competitive bidding and practical power output;
It obtains electric car sale of electricity to bid parameter, electric car sale of electricity parameter of bidding includes that the competitive bidding of electric car sale of electricity is sold Electric power output, the capacitance-adjustable up and down of competitive bidding, the upper downward energy of competitive bidding and practical power output;
Based on the independent Competitive Bidding Model of P2G equipment, the independent Competitive Bidding Model of gas turbine, the independent Competitive Bidding Model of electric car and distribution Equipment collaboration Competitive Bidding Model is bidded parameter, the combustion gas wheel under the constraint condition for meeting each model using the P2G equipment Parameter that machine bids parameter and the electric car sale of electricity is bidded, cooperates with Competitive Bidding Model by the distributed apparatus, obtains described Target P2G equipment corresponding to the maximum gain and the maximum gain of distributed apparatus collaboration Competitive Bidding Model is bidded ginseng Parameter that number, target gas turbine bid parameter and target electric car sale of electricity is bidded;
Wherein, the independent Competitive Bidding Model of P2G equipment be pre-establish target, the P2G are turned to P2G equipment Income Maximum Equipment bid parameter for input, including sell gas income, frequency regulation capacity income, frequency modulation energy gain and power purchase expense model;
The independent Competitive Bidding Model of gas turbine be pre-establish target, the combustion gas wheel are turned to gas turbine Income Maximum Machine bids parameter for input, including selling gas income, frequency regulation capacity income, frequency modulation energy gain and the model for purchasing gas expense;
The independent Competitive Bidding Model of electric car be pre-establish target is turned to the electric car sale of electricity Income Maximum, institute It states electric car sale of electricity and bids parameter as input, including sell gas income, frequency regulation capacity income, frequency modulation energy gain and purchase gas expense and use Model;
Distributed apparatus collaboration Competitive Bidding Model is to pre-establish to integrate global maximum as target, the P2G equipment Bid parameter, the gas turbine bids parameter and the electric car sale of electricity bids parameter as input, including sale of electricity income, sells The model of gas income, frequency regulation capacity income and frequency modulation energy gain;
Wherein, the independent Competitive Bidding Model of the P2G equipment, the independent Competitive Bidding Model of the gas turbine, the electric car are individually competing Valence model and distributed apparatus collaboration Competitive Bidding Model mutually constrain.
CN201910677021.XA 2019-07-25 2019-07-25 For obtaining the computer installation and method of maximum return Yu optimal parameter of bidding Pending CN110378774A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111539554A (en) * 2020-04-01 2020-08-14 国网天津市电力公司 Day-ahead plan making method and system for gas turbine set in multi-market mode

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111539554A (en) * 2020-04-01 2020-08-14 国网天津市电力公司 Day-ahead plan making method and system for gas turbine set in multi-market mode

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