CN111784188A - Comprehensive energy service business market clearing method based on electric power market - Google Patents

Comprehensive energy service business market clearing method based on electric power market Download PDF

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CN111784188A
CN111784188A CN202010677390.1A CN202010677390A CN111784188A CN 111784188 A CN111784188 A CN 111784188A CN 202010677390 A CN202010677390 A CN 202010677390A CN 111784188 A CN111784188 A CN 111784188A
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杨林
李慧勇
杜旭
翟哲
孙雁斌
王子强
周志烽
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China Southern Power Grid Co Ltd
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Abstract

The invention discloses a comprehensive energy service provider market clearing method based on an electric power market, which comprises the following steps: s1: constructing a comprehensive demand response market structure participated by a comprehensive energy service provider; s2: establishing a comprehensive demand response market clearing model; s3: and carrying out a clearing process of the comprehensive demand response market. According to the invention, the comprehensive demand response market structure is constructed firstly, then the optimization strategy of the comprehensive energy service provider is provided, and finally the comprehensive demand response market clearing model and the market clearing process considering the regulation domain of the comprehensive energy service provider are designed, so that the load peak-valley difference of the distribution network can be reduced, and the new energy consumption rate is improved.

Description

Comprehensive energy service business market clearing method based on electric power market
Technical Field
The invention relates to a comprehensive energy service provider market clearing method based on an electric power market.
Background
With the continuous development of national economy, the load peak-valley difference of the power grid is improved year by year. In addition, with the large-scale access of distributed energy, the problem of supply and demand balance cannot be solved only by the adjusting capability of the power generation side. Under the background of the electric power spot market, demand side response gradually gains wide attention all over the world due to the advantages of high flexibility, large response potential and the like. However, the emergence of the comprehensive energy system breaks through the existing mode of independent operation of each traditional energy system, so that the coupling of the energy flows in different forms is tighter and tighter, the role of an energy user is no longer a single consumer, but rather an energy service provider, and the coupling and replacement of the energy provides a new response path for the demand side. Therefore, the research on the interactive market clearing mechanism of the Integrated Energy Service Provider (IESP) and the superior energy network has important significance for improving the consumption rate of new energy and reducing the load peak-valley difference of the distribution network.
Disclosure of Invention
The invention aims to provide a comprehensive energy service provider market clearing method based on an electric power market, which can reduce distribution network load peak-valley difference and improve new energy consumption rate.
In order to solve the technical problem, the invention provides a comprehensive energy service provider market clearing method based on an electric power market, which comprises the following steps:
s1: constructing a comprehensive demand response market structure participated by a comprehensive energy service provider;
s2: establishing a comprehensive demand response market clearing model;
s3: and carrying out a clearing process of the comprehensive demand response market.
Further, in step S1, each renewable energy service provider submits its own regulatory domain, gateway power plan value, and gateway power adjustment offer to the network distribution operator, and the network distribution operator performs market clearing with the minimum peak-to-valley difference of exchange power of the main network access point as a target, and feeds back the adjusted energy utilization plan to each market member.
Further, under the guidance of time-of-use electricity price, up-regulation compensation and down-regulation compensation provided by a network operator, the comprehensive energy service provider maximizes the total profit of the comprehensive energy service provider by means of adjusting the output of the CHP unit, responding to flexible load, controlling the indoor temperature of the building, storing energy, charging and discharging energy and the like, and provides exchange power for the network operator, and the objective function is as follows:
minCBUY,d+CSELL,d+CCOM,d+CM,d(30)
Figure BDA0002584552290000021
Figure BDA0002584552290000022
Figure BDA0002584552290000023
Figure BDA0002584552290000024
wherein the content of the first and second substances,
Figure BDA0002584552290000025
is a vector of time-of-use electricity price, time-of-use heat price and natural gas price,
Figure BDA0002584552290000026
Figure BDA0002584552290000027
up regulation compensation, down regulation compensation, respectively, L (t) ═ Le(t),Lh(t)]TIs vector representation of electric load and thermal load in t period, IL (t) is flexible load response in t period, S (t) represents all types of external energy input in t period, CBUYRepresenting the electricity purchase charge, CSELLRepresenting the income of selling electricity, CCOMRepresentative distribution networkPower adjustment compensation charges paid to the energy service complex, Φ coupling matrix, P(t)Which represents the input power of the energy converter,
Figure BDA0002584552290000028
representing planned power of electricity purchasing port, cmRepresenting the cost per unit energy charged/discharged from the energy storage, the physical meaning of which is the influence of charging/discharging on the life of the stored energy, Qch(t) represents the respective energy storage and discharge powers, Qdis(t) represents the discharge power of each stored energy.
Further, the objective function of the integrated demand response market clearing is:
min CDIFF+CCUR+CCOM(35)
Figure BDA0002584552290000031
Figure BDA0002584552290000032
Figure BDA0002584552290000033
CDIFFis a penalty for major network junction peak-to-valley differences, where κDIFFRepresents a penalty in units of peak-to-valley difference, Ppcc(t) represents the switching power of the main network connection point at time t,
Figure BDA0002584552290000034
the auxiliary variable represents the maximum value of the power of the main network connection point in one day; cCURIs a penalty of incomplete consumption of renewable energy sources, wherein
Figure BDA00025845522900000314
Represents a collection of renewable energy sources that are,
Figure BDA0002584552290000035
represents the predicted power value of the w-th renewable energy source at the time t,
Figure BDA0002584552290000036
is the corresponding actual output value; cCOMThe network operator pays the energy balance to the energy supplier, wherein
Figure BDA0002584552290000037
On behalf of the set of integrated energy service providers,
Figure BDA0002584552290000038
respectively compensating electric power up-regulation, electric power down-regulation, thermal power up-regulation and thermal power down-regulation of the d-th comprehensive energy service provider in the t period,
Figure BDA0002584552290000039
respectively the planned values of the business electricity and heat exchange power of the d-th integrated energy serviced(t)、Hd(t) are the corresponding actual values, respectively.
Further, the flow constraint conditions of the heat distribution network cleared by the comprehensive demand response market are as follows:
Figure BDA00025845522900000310
Figure BDA00025845522900000311
wherein the content of the first and second substances,
Figure BDA00025845522900000312
respectively is an adjacent node set corresponding to the inlet edge of the ith heat supply node of the distribution network heat supply pipe network, an adjacent node set corresponding to the outlet edge, a subordinate comprehensive energy service provider set Hij
Figure BDA00025845522900000313
λijRespectively the thermal power (MW), the thermal power loss (MW), the thermal loss coefficient (MW/km), H of the initial end of the pipeline (i, j)φFor CHP units, power (MW), HdFor healdAnd synthesizing the thermal power of the energy service provider contact node.
Further, the power distribution network flow constraint conditions of the comprehensive demand response market clearing model are as follows:
Figure BDA0002584552290000041
Figure BDA0002584552290000042
Figure BDA0002584552290000043
Figure BDA0002584552290000044
Figure BDA0002584552290000045
Figure BDA0002584552290000046
0≤Pd,j(t)≤Pd,j max(47)
wherein the content of the first and second substances,
Figure BDA0002584552290000047
respectively is an adjacent node set corresponding to the input edge, an adjacent node set corresponding to the output edge, a subordinate comprehensive energy service provider set, a subordinate renewable energy set, a subordinate CHP set and Q of the ith node of the distribution network power network frameij
Figure BDA0002584552290000048
Rij、Xij、Pij maxRespectively the active power, reactive power, active power loss, reactive power loss, resistance, inductance and line active rated value of the tail end of the line (i, j),
Figure BDA0002584552290000049
the voltage squares, V, of the start and end nodes of the line (i, j), respectively0Is the node voltage rating. Pd、QdActive and reactive power, P, for the contact nodes of the integrated energy service providerφ、QφThe active power and the reactive power of the CHP unit.
Further, the CHP unit output constraint condition of the comprehensive demand response market clearing model is as follows:
Figure BDA00025845522900000410
Figure BDA00025845522900000411
Hφ(t)=kφPφ(t) (50)
-RDφ≤(Pφ(t)-Pφ(t-1))/Δt≤RUφ(51)
wherein the content of the first and second substances,
Figure BDA00025845522900000412
respectively represents the upper and lower limits of the active output of the unit phi,
Figure BDA00025845522900000413
respectively represent the upper and lower reactive power output limits of the unit phi, RDφ、RUφRespectively representing the maximum landslide power and the climbing power of the unit phi per hour.
Further, the renewable energy output constraint conditions of the comprehensive demand response market clearing model are as follows:
Figure BDA0002584552290000051
wherein the content of the first and second substances,
Figure BDA0002584552290000052
in order to predict the output of the renewable energy,
Figure BDA0002584552290000053
the actual value of the output of the renewable energy source is;
further, the constraint conditions of the comprehensive energy service provider adjustment domain of the comprehensive demand response market clearing model are as follows:
Figure BDA0002584552290000054
Figure BDA0002584552290000055
Figure BDA0002584552290000056
Figure BDA0002584552290000057
Figure BDA0002584552290000058
Figure BDA0002584552290000059
wherein the content of the first and second substances, d,ψP(t)
Figure BDA00025845522900000510
respectively is the lower limit and the upper limit of the power purchased by the psi-th comprehensive energy service provider in the t period, d,ψH (t)
Figure BDA00025845522900000511
respectively is the lower limit and the upper limit of the commercial heat purchasing power of the psi-th comprehensive energy service in the t period,
Figure BDA00025845522900000512
Figure BDA00025845522900000513
respectively is the lower limit and the upper limit of the power purchasing change rate of the psi th comprehensive energy service provider in the t period,
Figure BDA00025845522900000514
Figure BDA00025845522900000515
respectively is the lower limit and the upper limit of the heat purchasing power change rate of the psi-th comprehensive energy service in the t period,
Figure BDA00025845522900000516
Figure BDA00025845522900000517
respectively is the lower limit and the upper limit of the virtual electric energy storage capacity of the psi th comprehensive energy service provider in the t period,
Figure BDA00025845522900000518
Figure BDA00025845522900000519
and the lower limit and the upper limit of the virtual heat energy storage capacity of the psi th comprehensive energy service provider in the t period are respectively.
Further, the clearing process of the comprehensive demand response market is as follows;
s31: the comprehensive energy service provider calculates a reference energy utilization plan P according to the user energy utilization prediction and the outdoor temperature predictiond(t)、Hd(t) further calculating regulatory domains (24) - (29) and adjusting the power bid r according to the calculation units of equations (31) - (34)+(t)、r-(t), reporting the information to a network operator;
s32: the network operator collects the information reported by each comprehensive energy service provider, solves the optimization problems (6) - (29), and issues the power regulation plan
Figure BDA0002584552290000061
Giving the comprehensive energy service providers;
s33: each comprehensive energy service provider solves the optimization problem MThe quote r is updated accordingly as in equations (31) - (34)+(t)、r-(t), reporting the information to a network operator;
s34: and comparing the two quotes before and after the comparison by the network operator, if the difference value is smaller than the threshold value, ending the clearing process, and otherwise, executing the step S32 again.
Further, the optimization problem M is:
Figure BDA0002584552290000062
the quotation updating strategy of the comprehensive energy service provider is as follows:
Figure BDA0002584552290000063
Figure BDA0002584552290000064
Figure BDA0002584552290000065
Figure BDA0002584552290000066
the invention has the beneficial effects that: the comprehensive demand response market structure is constructed firstly, then the optimization strategy of the comprehensive energy service provider is provided, and finally the comprehensive demand response market clearing model and the market clearing process considering the regulation domain of the comprehensive energy service provider are designed, so that the load peak-valley difference of the distribution network can be reduced, and the new energy consumption rate is improved.
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The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:
FIG. 1 is a flow chart of one embodiment of the present invention;
fig. 2 is an overall framework diagram of an IESP participating integrated demand response marketplace, according to one embodiment of the present invention.
Detailed Description
A comprehensive energy service business market clearing method based on an electric power market comprises the following steps:
s1: constructing a comprehensive demand response market structure participated by a comprehensive energy service provider;
s2: establishing a comprehensive demand response market clearing model;
s3: and carrying out a clearing process of the comprehensive demand response market.
According to an embodiment of the present application, an overall framework of the integrated demand response market in which the IESP participates is shown in fig. 1, each integrated energy service provider submits its own regulatory domain, gateway power plan value, and gateway power adjustment offer to the network distribution operator, and the network distribution operator performs market clearing with the goal of minimizing the peak-to-valley difference of the exchange power of the main network access point, and feeds back the adjusted energy utilization plan to each market member.
According to one embodiment of the application, the IESP aggregates energy supply equipment, energy storage equipment, flexible loads and virtual energy storage of a building in a jurisdiction, under the guidance of time-sharing electricity price, up-regulation compensation and down-regulation compensation provided by a network operator, the comprehensive energy service provider maximizes the total profit of the comprehensive energy service provider by means of adjusting CHP set output, flexible load response, building indoor temperature control, energy storage charging and discharging energy and the like, and provides exchange power for the network operator, and the objective function is as follows:
minCBUY,d+CSELL,d+CCOM,d+CM,d(64)
Figure BDA0002584552290000081
Figure BDA0002584552290000082
Figure BDA0002584552290000083
Figure BDA0002584552290000084
wherein the content of the first and second substances,
Figure BDA0002584552290000085
is a vector of time-of-use electricity price, time-of-use heat price and natural gas price,
Figure BDA0002584552290000086
Figure BDA0002584552290000087
up regulation compensation, down regulation compensation, respectively, L (t) ═ Le(t),Lh(t)]TIs vector representation of electric load and thermal load in t period, IL (t) is flexible load response in t period, S (t) represents all types of external energy input in t period, CBUYRepresenting the electricity purchase charge, CSELLRepresenting the income of selling electricity, CCOMThe compensation cost of power adjustment paid to the comprehensive energy service provider by the representative distribution network is phi which is a coupling matrix P(t)Which represents the input power of the energy converter,
Figure BDA0002584552290000088
representing planned power of electricity purchasing port, cmRepresenting the cost per unit energy charged/discharged from the energy storage, the physical meaning of which is the influence of charging/discharging on the life of the stored energy, Qch(t) represents the respective energy storage and discharge powers, Qdis(t) represents the discharge power of each stored energy.
According to one embodiment of the application, the distribution network represents a load node in the main network. The DSO considers the IESPs regulation domain, calls adjustable resources provided by the IESPs in the jurisdiction area, and makes a day-ahead plan of the exchange power of the IESPs access points, so that the peak-valley difference of the exchange power of the main network access point is minimum, and the DSO also makes a time-of-use electricity price provided for the IESPs; the objective function of the comprehensive demand response market clearing is:
min CDIFF+CCUR+CCOM(69)
Figure BDA0002584552290000089
Figure BDA00025845522900000810
Figure BDA00025845522900000811
Figure BDA0002584552290000091
the objective function of the network layer is composed of three terms, the first term CDIFFIs a penalty for major network junction peak-to-valley differences, where κDIFFPenalty (in/MW), P, in units of peak-to-valley differencepcc(t) represents the switching power of the main network connection point at time t,
Figure BDA0002584552290000092
the auxiliary variable represents the maximum value of the power of the main network connection point in one day; second item CCURIs a penalty of incomplete consumption of renewable energy sources, wherein
Figure BDA00025845522900000914
Represents a collection of renewable energy sources that are,
Figure BDA0002584552290000093
represents the predicted power value of the w-th renewable energy source at the time t,
Figure BDA0002584552290000094
is the corresponding actual output value; third item CCOMThe network operator pays the energy balance to the energy supplier, wherein
Figure BDA0002584552290000095
Representing an integrated energy facilitatorIn the collection of the images, the image data is collected,
Figure BDA0002584552290000096
Figure BDA0002584552290000097
compensation (element/MW) of electric power up regulation, electric power down regulation, thermal power up regulation and thermal power down regulation of the d-th comprehensive energy service provider in the t period respectively,
Figure BDA0002584552290000098
respectively the planned value (MW), P of commercial power and heat exchange power of the d-th integrated energy serviced(t)、Hd(t) are the corresponding actual values, respectively.
According to one embodiment of the present application, since the flow direction of the water flow of the heat supply network is not changed in general, the heat supply network can be represented by a directional diagram by defining the flow direction of the water flow as a positive direction. A node heat balance equation and a heat loss balance equation are adopted to replace the traditional nonlinear mode which needs complex hydraulic calculation. Therefore, the comprehensive demand response market-clear power flow constraint conditions of the heat distribution network, namely the node thermal power balance constraint conditions, are as follows:
Figure BDA0002584552290000099
Figure BDA00025845522900000910
wherein the content of the first and second substances,
Figure BDA00025845522900000911
respectively is an adjacent node set corresponding to the inlet edge of the ith heat supply node of the distribution network heat supply pipe network, an adjacent node set corresponding to the outlet edge, a subordinate comprehensive energy service provider set Hij
Figure BDA00025845522900000912
λijRespectively the thermal power (MW), the thermal power loss (MW), the thermal loss coefficient (MW/km), H of the initial end of the pipeline (i, j)φIs a CHP machineHeating power (MW), H of the groupdAnd the thermal power of the contact node of the comprehensive energy service provider is provided.
According to an embodiment of the present application, the power distribution network flow constraint condition of the comprehensive demand response market clearing model is:
Figure BDA00025845522900000913
Figure BDA0002584552290000101
Figure BDA0002584552290000102
Figure BDA0002584552290000103
Figure BDA0002584552290000104
(1-ρ)V0 2≤Wd,i(t)≤(1+ρ)V0 2(80)
0≤Pd,j(t)≤Pd,j max(81)
wherein the content of the first and second substances,
Figure BDA0002584552290000105
respectively is an adjacent node set corresponding to the input edge, an adjacent node set corresponding to the output edge, a subordinate comprehensive energy service provider set, a subordinate renewable energy set, a subordinate CHP set and Q of the ith node of the distribution network power network frameij
Figure BDA0002584552290000106
Rij、Xij、Pij maxAre respectively a line(i,j)The active power, the reactive power, the active power loss, the reactive power loss, the resistance, the inductive reactance, the line active rating of the terminal,
Figure BDA0002584552290000107
are respectively a line(i,j)Voltage square value, V, of the start and end nodes of0Is the node voltage rating. Pd、QdActive and reactive power, P, for the contact nodes of the integrated energy service providerφ、QφThe active power and the reactive power of the CHP unit.
According to an embodiment of the present application, the CHP unit output constraint condition of the integrated demand response market clearing model is:
Figure BDA0002584552290000108
Figure BDA0002584552290000109
Hφ(t)=kφPφ(t) (84)
-RDφ≤(Pφ(t)-Pφ(t-1))/Δt≤RUφ(85)
the output constraint of the CHP unit comprises an active and reactive output upper and lower limit constraint, a thermoelectric ratio constraint and a climbing constraint, wherein,
Figure BDA00025845522900001010
respectively represents the upper and lower limits of the active output of the unit phi,
Figure BDA00025845522900001011
respectively represent the upper and lower reactive power output limits of the unit phi, RDφ、RUφRespectively representing the maximum landslide power and the climbing power of the unit phi per hour.
According to one embodiment of the present application, the renewable energy output constraint of the integrated demand response market clearing model is:
Figure BDA0002584552290000111
wherein the content of the first and second substances,
Figure BDA0002584552290000112
in order to predict the output of the renewable energy,
Figure BDA0002584552290000113
the actual value of the output of the renewable energy source is;
according to one embodiment of the present application, the integrated energy facilitator regulatory domain constraint of the integrated demand response market clearing model is:
Figure BDA0002584552290000114
Figure BDA0002584552290000115
Figure BDA0002584552290000116
Figure BDA0002584552290000117
Figure BDA0002584552290000118
Figure BDA0002584552290000119
the IESP regulation domain quantitatively describes the maximum adjustable power, the maximum ramp rate of the adjustable power and the maximum energy storage capacity which can be provided by the IESPs for the distribution network; wherein the content of the first and second substances, d,ψP(t)
Figure BDA00025845522900001110
respectively the lower limit and the upper limit of the psi IESP electricity purchasing power (MW) in the t period, d,ψH(t)
Figure BDA00025845522900001111
respectively as the lower limit and the upper limit of the psi th IESP heating power (MW) in the t period,
Figure BDA00025845522900001112
respectively is the lower limit and the upper limit of the psi th IESP electricity purchasing power change rate (MW/h) in the t period,
Figure BDA00025845522900001113
respectively is the lower limit and the upper limit of the psi th IESP heat purchasing power change rate (MW/h) in the t period,
Figure BDA00025845522900001114
respectively is the lower limit and the upper limit of the psi th IESP virtual electric energy storage capacity (MWh) in the t period,
Figure BDA00025845522900001115
the t period is the lower limit and the upper limit of the psi th IESP virtual thermal energy storage capacity (MWh), respectively.
According to one embodiment of the application, the clearing process of the comprehensive demand response market is as follows;
s31: the comprehensive energy service provider calculates a reference energy utilization plan P according to the user energy utilization prediction and the outdoor temperature predictiond(t)、Hd(t) further calculating regulatory domains (24) - (29) and adjusting the power bid r according to the calculation units of equations (31) - (34)+(t)、r-(t), reporting the information to a network operator;
s32: the network operator collects the information reported by each comprehensive energy service provider, solves the optimization problems (6) - (29), and issues the power regulation plan
Figure BDA0002584552290000121
Giving the comprehensive energy service providers;
s33: each integrated energy service provider solves the optimization problem M and updates the quotation r correspondingly according to the formulas (31) - (34)+(t)、r-(t), reporting the information to a network operator;
s34: and comparing the two quotes before and after the comparison by the network operator, if the difference value is smaller than the threshold value, ending the clearing process, and otherwise, executing the step S32 again.
Wherein the optimization problem M is:
Figure BDA0002584552290000122
the quotation updating strategy of the comprehensive energy service provider is as follows:
Figure BDA0002584552290000123
Figure BDA0002584552290000124
Figure BDA0002584552290000125
Figure BDA0002584552290000126
finally, the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting, although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions may be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all of them should be covered in the claims of the present invention.

Claims (10)

1. A comprehensive energy service provider market clearing method based on an electric power market is characterized by comprising the following steps:
s1: constructing a comprehensive demand response market structure participated by a comprehensive energy service provider;
s2: establishing a comprehensive demand response market clearing model;
s3: and carrying out a clearing process of the comprehensive demand response market.
2. The electric power market-based energy market clearing method of claim 1, wherein in step S1, each energy market provider submits its own regulatory domain, gateway power plan value, and gateway power adjustment offer to the network operator, who performs market clearing with the goal of minimizing the difference between the peak and the valley of the exchange power of the main network access point, and feeds back the adjusted energy use plan to each market member.
3. The electric power market-based method for clearing the market of the integrated energy service provider according to claim 2, wherein under the guidance of time-of-use electricity price, up-regulation compensation and down-regulation compensation provided by the network operator, the integrated energy service provider maximizes the total profit of the integrated energy service provider by adjusting the output of the CHP machine set, responding to flexible load, controlling the indoor temperature of the building, charging and discharging energy of stored energy, and providing the exchange power for the network operator, and the objective function is as follows:
min CBUY,d+CSELL,d+CCOM,d+CM,d(1)
Figure FDA0002584552280000011
Figure FDA0002584552280000012
Figure FDA0002584552280000013
Figure FDA0002584552280000014
wherein the content of the first and second substances,
Figure FDA0002584552280000015
is a vector of time-of-use electricity price, time-of-use heat price and natural gas price,
Figure FDA0002584552280000016
Figure FDA0002584552280000021
up regulation compensation, down regulation compensation, respectively, L (t) ═ Le(t),Lh(t)]TIs vector representation of electric load and thermal load in t period, IL (t) is flexible load response in t period, S (t) represents all types of external energy input in t period, CBUYRepresenting the electricity purchase charge, CSELLRepresenting the income of selling electricity, CCOMThe compensation cost of power adjustment paid to the comprehensive energy service provider by the representative distribution network is phi which is a coupling matrix P(t)Which represents the input power of the energy converter,
Figure FDA0002584552280000022
representing planned power of electricity purchasing port, cmRepresenting the cost per unit energy charged/discharged from the energy storage, the physical meaning of which is the influence of charging/discharging on the life of the stored energy, Qch(t) represents the respective energy storage and discharge powers, Qdis(t) represents the discharge power of each stored energy.
4. The electric power market-based integrated energy facilitator market clearing method of claim 3, wherein the objective function of the integrated demand response market clearing is:
min CDIFF+CCUR+CCOM(6)
Figure FDA0002584552280000023
Figure FDA0002584552280000024
Figure FDA0002584552280000025
CDIFFis a penalty for major network junction peak-to-valley differences, where κDIFFTo representPenalty per unit peak-to-valley difference, Ppcc(t) represents the switching power of the main network connection point at time t,
Figure FDA0002584552280000026
the auxiliary variable represents the maximum value of the power of the main network connection point in one day; cCURIs a penalty of incomplete consumption of renewable energy sources, wherein
Figure FDA0002584552280000027
Represents a collection of renewable energy sources that are,
Figure FDA0002584552280000028
represents the predicted power value of the w-th renewable energy source at the time t,
Figure FDA0002584552280000029
is the corresponding actual output value; cCOMThe network operator pays the energy balance to the energy supplier, wherein
Figure FDA00025845522800000210
On behalf of the set of integrated energy service providers,
Figure FDA00025845522800000211
respectively compensating electric power up-regulation, electric power down-regulation, thermal power up-regulation and thermal power down-regulation of the d-th comprehensive energy service provider in the t period,
Figure FDA00025845522800000212
respectively the planned values of the business electricity and heat exchange power of the d-th integrated energy serviced(t)、Hd(t) are the corresponding actual values, respectively.
5. The electric power market-based integrated energy facilitator market clearing method of claim 4, wherein said integrated demand response market-cleared distribution network flow constraints are:
Figure FDA0002584552280000031
Figure FDA0002584552280000032
wherein the content of the first and second substances,
Figure FDA0002584552280000033
respectively is an adjacent node set corresponding to the inlet edge of the ith heat supply node of the distribution network heat supply pipe network, an adjacent node set corresponding to the outlet edge, a subordinate comprehensive energy service provider set Hij
Figure FDA0002584552280000034
λijRespectively the initial thermal power, thermal power loss, thermal loss coefficient, H of the pipeline (i, j)φFor the heat supply power of the CHP unit, HdAnd the thermal power of the contact node of the comprehensive energy service provider is provided.
6. The electric power market-based integrated energy facilitator market clearing method of claim 5, wherein the distribution grid power flow constraints of the integrated demand response market clearing model are:
Figure FDA0002584552280000035
Figure FDA0002584552280000036
Figure FDA0002584552280000037
Figure FDA0002584552280000038
Figure FDA0002584552280000039
(1-ρ)V0 2≤Wd,i(t)≤(1+ρ)V0 2(17)
0≤Pd,j(t)≤Pd,j max(18)
wherein the content of the first and second substances,
Figure FDA00025845522800000310
respectively is an adjacent node set corresponding to the input edge, an adjacent node set corresponding to the output edge, a subordinate comprehensive energy service provider set, a subordinate renewable energy set, a subordinate CHP set and Q of the ith node of the distribution network power network frameij
Figure FDA00025845522800000311
Rij、Xij、Pij maxRespectively the active power, reactive power, active power loss, reactive power loss, resistance, inductance and line active rated value of the tail end of the line (i, j),
Figure FDA0002584552280000041
the voltage squares, V, of the start and end nodes of the line (i, j), respectively0Is the node voltage rating. Pd、QdActive and reactive power, P, for the contact nodes of the integrated energy service providerφ、QφThe active power and the reactive power of the CHP unit.
7. The electric power market-based integrated energy facilitator market clearing method of claim 6, wherein the CHP unit output constraints of the integrated demand response market clearing model are:
Figure FDA0002584552280000042
Figure FDA0002584552280000043
Hφ(t)=kφPφ(t) (21)
-RDφ≤(Pφ(t)-Pφ(t-1))/Δt≤RUφ(22)
wherein the content of the first and second substances,
Figure FDA0002584552280000044
respectively represents the upper and lower limits of the active output of the unit phi,
Figure FDA0002584552280000045
respectively represent the upper and lower reactive power output limits of the unit phi, RDφ、RUφRespectively representing the maximum landslide power and the climbing power of the unit phi per hour.
8. The electric power market-based integrated energy facilitator market clearing method of claim 7, wherein the renewable energy output constraints of the integrated demand response market clearing model are:
Figure FDA0002584552280000046
wherein the content of the first and second substances,
Figure FDA0002584552280000047
in order to predict the output of the renewable energy,
Figure FDA0002584552280000048
the actual value of the output of the renewable energy source is obtained.
9. The electric power market-based marketplace clearing method for integrated energy providers of claim 8, wherein the integrated demand response marketplace clearing model has integrated energy provider regulatory domain constraints of:
Figure FDA0002584552280000049
Figure FDA00025845522800000410
Figure FDA00025845522800000411
Figure FDA00025845522800000412
Figure FDA0002584552280000051
Figure FDA0002584552280000052
wherein the content of the first and second substances, d,ψP(t)
Figure FDA0002584552280000053
respectively is the lower limit and the upper limit of the power purchased by the psi-th comprehensive energy service provider in the t period, d,ψH(t)
Figure FDA0002584552280000054
respectively is the lower limit and the upper limit of the commercial heat purchasing power of the psi-th comprehensive energy service in the t period,
Figure FDA0002584552280000055
Figure FDA0002584552280000056
respectively is the lower limit and the upper limit of the power purchasing change rate of the psi th comprehensive energy service provider in the t period,
Figure FDA0002584552280000057
Figure FDA0002584552280000058
respectively is the lower limit and the upper limit of the heat purchasing power change rate of the psi-th comprehensive energy service in the t period,
Figure FDA0002584552280000059
Figure FDA00025845522800000510
respectively is the lower limit and the upper limit of the virtual electric energy storage capacity of the psi th comprehensive energy service provider in the t period,
Figure FDA00025845522800000511
Figure FDA00025845522800000512
and the lower limit and the upper limit of the virtual heat energy storage capacity of the psi th comprehensive energy service provider in the t period are respectively.
10. The electric power market-based integrated energy facilitator market clearing method of claim 8, wherein the clearing process of the integrated demand response market is;
s31: the comprehensive energy service provider calculates a reference energy utilization plan P according to the user energy utilization prediction and the outdoor temperature predictiond(t)、Hd(t) further calculating regulatory domains (24) - (29) and adjusting the power bid r according to the calculation units of equations (31) - (34)+(t)、r-(t), reporting the information to a network operator;
s32: the network operator collects the information reported by each comprehensive energy service provider, solves the optimization problems (6) - (29), and issues the power regulation plan
Figure FDA00025845522800000513
Giving the comprehensive energy service providers;
s33: each comprehensive energy service provider solves the optimization problem MThe quote r is updated accordingly as in equations (31) - (34)+(t)、r-(t), reporting the information to a network operator;
s34: and comparing the two quotes before and after the comparison by the network operator, if the difference value is smaller than the threshold value, ending the clearing process, and otherwise, executing the step S32 again.
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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112398118A (en) * 2020-10-27 2021-02-23 广东电网有限责任公司电力调度控制中心 Method, device, equipment and medium for adjusting clear electricity price in flexible load market
CN113610394A (en) * 2021-08-06 2021-11-05 天津大学 Regional interconnection-based energy market bilateral bidding clearing method

Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20020007388A1 (en) * 2000-07-14 2002-01-17 Masaaki Bannai Energy service business method and system
US20160098794A1 (en) * 2014-10-03 2016-04-07 Open Access Technology International, Inc. Next-Generation Energy Market Design and Implementation
CN107067281A (en) * 2017-04-10 2017-08-18 燕山大学 The double-deck price competing method of micro-capacitance sensor electricity market based on multiple agent and game method
CN109636671A (en) * 2018-12-18 2019-04-16 中南大学 A kind of wind electricity digestion optimisation strategy considering multi-level market linkage type
CN109993366A (en) * 2019-04-03 2019-07-09 南方电网科学研究院有限责任公司 Comprehensive energy Market Competition Strategy determines method, apparatus, equipment and storage medium
CN110378729A (en) * 2019-07-11 2019-10-25 中国科学院电工研究所 A kind of integration requirement response method based on dynamic energy price strategy
CN110661255A (en) * 2019-09-25 2020-01-07 南方电网能源发展研究院有限责任公司 Thermoelectric optimization operation method, device and equipment of multi-energy system
CN110852535A (en) * 2018-07-24 2020-02-28 华北电力大学 Day-ahead market clearing model considering medium-long term trading and wind power uncertainty
CN110889540A (en) * 2019-11-14 2020-03-17 南方电网科学研究院有限责任公司 Method and device for optimizing system standby requirement in power market environment

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20020007388A1 (en) * 2000-07-14 2002-01-17 Masaaki Bannai Energy service business method and system
US20160098794A1 (en) * 2014-10-03 2016-04-07 Open Access Technology International, Inc. Next-Generation Energy Market Design and Implementation
CN107067281A (en) * 2017-04-10 2017-08-18 燕山大学 The double-deck price competing method of micro-capacitance sensor electricity market based on multiple agent and game method
CN110852535A (en) * 2018-07-24 2020-02-28 华北电力大学 Day-ahead market clearing model considering medium-long term trading and wind power uncertainty
CN109636671A (en) * 2018-12-18 2019-04-16 中南大学 A kind of wind electricity digestion optimisation strategy considering multi-level market linkage type
CN109993366A (en) * 2019-04-03 2019-07-09 南方电网科学研究院有限责任公司 Comprehensive energy Market Competition Strategy determines method, apparatus, equipment and storage medium
CN110378729A (en) * 2019-07-11 2019-10-25 中国科学院电工研究所 A kind of integration requirement response method based on dynamic energy price strategy
CN110661255A (en) * 2019-09-25 2020-01-07 南方电网能源发展研究院有限责任公司 Thermoelectric optimization operation method, device and equipment of multi-energy system
CN110889540A (en) * 2019-11-14 2020-03-17 南方电网科学研究院有限责任公司 Method and device for optimizing system standby requirement in power market environment

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
彭钰茗: "综合能源服务商参与多能源市场的决策建模研究", 供用电, pages 27 - 33 *

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112398118A (en) * 2020-10-27 2021-02-23 广东电网有限责任公司电力调度控制中心 Method, device, equipment and medium for adjusting clear electricity price in flexible load market
CN113610394A (en) * 2021-08-06 2021-11-05 天津大学 Regional interconnection-based energy market bilateral bidding clearing method
CN113610394B (en) * 2021-08-06 2023-06-13 天津大学 Energy market double-side bidding clearing method based on regional interconnection

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