CN113506156A - Market clearing method for one-stage bidding of demand side market main body and generator set - Google Patents

Market clearing method for one-stage bidding of demand side market main body and generator set Download PDF

Info

Publication number
CN113506156A
CN113506156A CN202111052649.4A CN202111052649A CN113506156A CN 113506156 A CN113506156 A CN 113506156A CN 202111052649 A CN202111052649 A CN 202111052649A CN 113506156 A CN113506156 A CN 113506156A
Authority
CN
China
Prior art keywords
generator set
demand side
demand
constraint
market
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN202111052649.4A
Other languages
Chinese (zh)
Other versions
CN113506156B (en
Inventor
关玉衡
杨苹
李壮壮
郑群儒
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
South China University of Technology SCUT
Original Assignee
South China University of Technology SCUT
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by South China University of Technology SCUT filed Critical South China University of Technology SCUT
Priority to CN202111052649.4A priority Critical patent/CN113506156B/en
Publication of CN113506156A publication Critical patent/CN113506156A/en
Application granted granted Critical
Publication of CN113506156B publication Critical patent/CN113506156B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/06Buying, selling or leasing transactions
    • G06Q30/0601Electronic shopping [e-shopping]
    • G06Q30/0611Request for offers or quotes
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/04Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/06Energy or water supply

Landscapes

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

Abstract

The invention discloses a market clearing method for bidding on the same station of a demand side market main body and a generator set, and a specific clearing program comprises the following steps: step 1: solving a safety constraint unit combination problem considering the quotation of the demand side; step 2: solving a safety constraint economic dispatching problem considering the quotation of the demand side; and step 3: calculating the node electricity price considering the price quoted by the demand side; and 4, step 4: performing safety check, and if the safety check is passed, executing the step 6; if the safety check does not pass, executing the step 5; and 5: modifying the system operation boundary conditions and the unit operation constraint conditions, and turning to the step 1; step 6: correcting a load prediction curve of a corresponding bus node based on a bid winning result on a demand side and carrying out secondary clearing on a power generation side to obtain a unit combination problem only considering the price quoted by a generator set; and 7: solving an economic dispatching problem only considering the generator set quotation; and 8: and calculating the node electricity price only considering the generator set quotation.

Description

Market clearing method for one-stage bidding of demand side market main body and generator set
Technical Field
The invention relates to the field of electric power spot market mechanisms, in particular to a market clearing method for bidding on the same station of a demand side market main body and a generator set.
Background
Power consumers have considerable regulatory potential and require effective marketing mechanisms to guide their exploitation. With the continuous improvement of the electric power spot market mechanism and the gradual release of the user side market, the replacement of the traditional electric power demand side management by demand side response transaction has become the development trend of the electric power market, and the bringing of demand side resources into the spot market transaction has a far-reaching development prospect. At present, the demand side of the spot market in China adopts a participation mode of not reporting the price at the present stage, and the demand elasticity of the user is guided by the price cleared in the market at the present day, so that the method is a passive user response mode. With the construction of the spot market, market bodies are gradually grown, and demand-side market bodies enter the spot market, so that demand-side responses can actively participate in market bidding.
The invention discloses a market clearing method for bidding a demand side market main body and a generator set at the same station, which can realize respective pricing of the demand side and the generator set, inhibit the random quotation behavior of part of the generation side market main body and encourage the market main body to reasonably quote.
Disclosure of Invention
The invention discloses a market clearing method for the same bidding of a demand side market main body and a generator set, which is beneficial to solving the problems of large peak-valley difference of a power grid and severe load fluctuation, can realize the respective pricing of the demand side and the generator set, can improve the initiative of the demand side main body in the market and the enthusiasm of participating in the market as much as possible under the condition of not influencing the benefit of the market main body, can avoid the influence of demand response bidding behaviors on the market price, and is beneficial to stabilizing the normal operation order of the spot market.
A market clearing method for a demand side market main body and a generator set bidding on the same station comprises the following steps that firstly, a system operation mechanism issues demand side response information to the demand side market main body; then, after receiving the demand side response information, the demand side market main body submits the demand side quotation information to a system operator; secondly, the system operation structure carries out a clearing stage; finally, the system operator publishes a clearing result; the clearing stage of the system operation structure specifically comprises the following steps:
step 1: and solving the safety constraint unit combination problem considering the quotation of the demand side. The safety constraint unit combination problem is a target function with the minimum sum of electricity purchasing cost, generator set starting cost and demand side response cost, and the target function is as follows:
Figure 356636DEST_PATH_IMAGE001
wherein:Tthe number of total time periods is indicated,
Figure 416996DEST_PATH_IMAGE002
the total number of the generator sets is represented,
Figure 111283DEST_PATH_IMAGE003
the number of market entities on the demand side is represented,
Figure 231685DEST_PATH_IMAGE004
and
Figure 219278DEST_PATH_IMAGE005
respectively representing the output of the genset and demand side responses,
Figure 83328DEST_PATH_IMAGE006
represents the starting cost of the generator set,
Figure 632122DEST_PATH_IMAGE007
representing the operating cost of the generator set, as follows:
Figure 923426DEST_PATH_IMAGE008
wherein:
Figure 908568DEST_PATH_IMAGE009
indicating generator setsiIn thattIn the first periodmThe price quoted for the segments is,
Figure 107468DEST_PATH_IMAGE010
indicating generator setsiIn thattIn the first periodmThe output of the generator set of the section,
Figure 714030DEST_PATH_IMAGE011
and the total number of the sections of the output of the generator set.
Figure 176235DEST_PATH_IMAGE012
Representing the demand side response cost, as follows:
Figure 930565DEST_PATH_IMAGE013
wherein:
Figure 887151DEST_PATH_IMAGE014
representing demand side market entitiesjIn thattIn the first periodmThe price quoted for the segments is,
Figure 613798DEST_PATH_IMAGE015
indicating a demand-side response attIn the first periodmThe force exerted by the segments is such that,
Figure 512484DEST_PATH_IMAGE016
and (4) the total number of the sub-sections of the force is applied to the response of the demand side.
Solving the combination problem of the safety constraint unit needs to satisfy the following constraint conditions:
(1)
Figure 488530DEST_PATH_IMAGE017
formula (1) is the electric power balance constraint condition of safety constraint unit combination problem, wherein:
Figure 481763DEST_PATH_IMAGE018
is composed oftSubtracting provincial junctor input power from the time interval power system load;
(2)
Figure 594075DEST_PATH_IMAGE019
equation (2) is the positive reserve capacity constraint of the safety constraint unit combination problem, where:
Figure 929242DEST_PATH_IMAGE020
indicating generator setsiIn thattThe on-off state of the time period,
Figure 861426DEST_PATH_IMAGE021
indicating that the generator set is shut down,
Figure 409082DEST_PATH_IMAGE022
indicating that the generator set is turned on,
Figure 907059DEST_PATH_IMAGE023
to representt(ii) a time-horizon power system positive reserve capacity requirement;
(3)
Figure 367122DEST_PATH_IMAGE024
equation (3) is the negative reserve capacity constraint of the safety constraint unit combination problem, where:
Figure 786602DEST_PATH_IMAGE026
indicating generator setsiIn thattThe minimum force to be applied during the time period,
Figure 669107DEST_PATH_IMAGE027
to representtThe time slot power system is subject to a negative backup capacity requirement. The generator set start-stop state when considering the demand-side quote can be obtained in step 1 and is transmitted to step 2.
Step 2: according to the starting and stopping state of the generator set transmitted in the step 1, the output of the generator set in the stopping state is set to be 0, then the safety constraint economic dispatching problem considering the quotation of the demand side is solved, and the quotation of the demand side is considered but the starting and stopping cost of the generator set is not considered; the safety constraint economic dispatching problem is a target function of minimizing the sum of the electricity purchasing cost and the demand side response cost, and the target function is as follows:
Figure 490432DEST_PATH_IMAGE028
wherein: the safety constraint economic dispatching problem needs to satisfy the following constraint conditions of power balance constraint conditions, generator set down-climbing constraint conditions and generator set up-climbing constraint conditions.
The formula of the constraint condition of the generator set for climbing downwards is as follows:
(4)
Figure 885511DEST_PATH_IMAGE029
in the formula (4)
Figure 323445DEST_PATH_IMAGE030
Indicating generator setsiThe maximum down-hill climbing rate.
The formula of the climbing constraint condition on the generator set is as follows:
(5)
Figure 212904DEST_PATH_IMAGE031
in the formula (5)
Figure 888736DEST_PATH_IMAGE032
Indicating generator setsiThe maximum rate of ascent. Step 2 is executed to obtain generator set output information, demand side output information and a Lagrange multiplier corresponding to the power balance constraint, and then the generator set output information and the demand side output information are transmitted into step 4 and the Lagrange multiplier is transmitted into step 3;
and step 3: calculating the node electricity price considering the price quoted at the demand side according to the Lagrange multiplier introduced in the step 3
Figure 736606DEST_PATH_IMAGE033
And the value of the lagrangian multiplier is equal to the lagrangian multiplier corresponding to the power balance constraint condition of the safety constraint economic scheduling problem in the step 2.
And 4, step 4: and (4) performing safety check according to the generator set output information and the demand side output information transmitted in the step (2). If the safety check is passed, executing the step 6; and if the safety check is not passed, executing the step 5.
And 5: modifying the operation boundary conditions of the power system and the combined constraint conditions of all the safety constraint units, and turning to the step 1;
step 6: correcting a load prediction curve of a corresponding bus node based on a bid winning result on a demand side, carrying out second clearing on a power generation side, and solving a unit combination problem only considering the quotation of a generator set, wherein the unit combination problem takes the minimum sum of electricity purchasing cost and generator set starting and stopping cost as an objective function, and the following formula is as follows
Figure 881411DEST_PATH_IMAGE034
Only considering the unit combination problem of the generator set quotation, the following constraint conditions of power supply and demand balance constraint conditions, positive reserve capacity constraint and negative reserve capacity constraint are required to be met, wherein the positive reserve capacity constraint and the negative reserve capacity constraint are the same as those in the step 1;
the power supply and demand balance constraint conditions are as follows:
(6)
Figure 105719DEST_PATH_IMAGE035
in the formula (6)
Figure 636057DEST_PATH_IMAGE036
Representing the demand side response contribution calculated in step 2. Step 6 is executed to obtain the starting and stopping state of the generator set when the price quoted by the demand side is not considered, and the starting and stopping state is transmitted to step 7;
and 7: setting the output of the generator set in the shutdown state to be 0 according to the startup and shutdown state of the generator set transmitted in the step 6, and then solving an economic dispatching problem when the price quoted by the demand side is not considered, wherein the economic dispatching problem takes the minimum electricity purchasing cost as an objective function, and the following formula is adopted
Figure 123670DEST_PATH_IMAGE037
The economic scheduling problem needs to satisfy the following constraint conditions:
(6)
Figure 536197DEST_PATH_IMAGE035
the above equation (6) is the power supply and demand balance constraint condition of the economic dispatching problem,
(4)
Figure 16726DEST_PATH_IMAGE038
the above formula (4) is the constraint condition of generator set down-grade climbing for economic dispatching problem,
(5)
Figure 198308DEST_PATH_IMAGE039
the upper formula (5) is a generator set up-grade climbing constraint condition of the economic dispatching problem; step 7 is executed to obtain the generator set output information and the Lagrangian multiplier corresponding to the power supply and demand balance constraint condition, and the Lagrangian multiplier is transmitted to step 8;
and 8: calculating the node electricity price without considering the price quoted on the demand side according to the Lagrange multiplier introduced in the step 7
Figure 856823DEST_PATH_IMAGE040
Its value is equal to the lagrange multiplier of the power supply and demand balance constraint in step 7.
Preferably, the demand-side quotation information described in step 1, step 2 and step 3 comprises segment-by-segment quotation information, and the quotation curve monotonically increases as the response volume increases.
Preferably, the safety check in step 4 is divided into a power balance check and a safety and stability check. The safety and stability check comprises ground state power flow check and static safety analysis; the ground state tide checking method comprises the following steps of checking that the transmission power of a line/section under the ground state tide flow does not exceed a limit value and the voltage level of a system bus does not exceed the limit value by using an alternating current tide model; the static safety analysis is based on an expected fault set, and an alternating current power flow model is adopted for on-off analysis, so that the condition that the load of equipment in the expected fault set does not exceed the post-accident current limit value and the system bus voltage does not exceed the limit is ensured.
Preferably, the boundary conditions in step 5 include an operating state of the generator set, upper and lower limits of output of the generator set, earliest grid connection time of the generator set, a heating plan of the cogeneration set, and a primary energy supply of the generator set.
Preferably, the load prediction curve described in step 6 is obtained by a load prediction program of the power scheduling mechanism.
Has the advantages that: the invention provides a market clearing method for bidding on a same station of a demand side market main body and a generator set, which comprises the steps of 1, obtaining a generator set combination result under the condition of considering demand side bidding so as to determine the start-stop state of the generator set, and 2, determining the clearing result of demand side bidding according to the generator set start-stop state obtained in the step 1; further, step 3, calculating a clearing price according to the clearing result obtained in step 2, wherein the clearing result obtained in step 2 and the clearing price obtained in step 3 are winning results of the demand side market body; step 4, performing safety check according to the result obtained in the step 2 to determine whether the results obtained in the step 2 and the step 3 can meet the operation requirement of the power system; on the basis, step 6 and step 7 take the bid winning result of the demand side in step 1 and step 2 as the known condition to carry out clearing calculation again, and step 6 obtains the starting and stopping state of the generator set without considering the bid bidding condition of the demand side; step 7, determining the output of the generator set in the starting state according to the starting and stopping state of the generator set obtained in the step 6; and 8, calculating the clearing price of each node according to the result obtained in the step 7, wherein the output of the generator set obtained in the step 7 and the clearing price obtained in the step 8 are the winning result of the generator set. The clearing method calculates the winning bid result of the demand side market subject in the steps 2 and 3, and then calculates the winning bid result of the generating set in the steps 7 and 8, and the step clearing mode can guarantee the benefits of the demand side market subject and other market subjects.
The clearing method can inhibit the random quotation behavior of part of the power generation side market main bodies and encourage the reasonable quotation. In the clearing method provided by the invention, the pricing of the generator set is still determined by an actual generator set quotation curve, and the phenomenon that the price of the generator set is increased and the benefit of a user is influenced due to the fact that the quotation is raised by a market main body on a demand side can be avoided. The invention can realize the price pricing of the demand side quotation and the generator set respectively, and can improve the initiative of the demand side market main body and the enthusiasm for participating in the market as much as possible under the condition of not influencing the benefit of the market main body.
Drawings
FIG. 1 is a flow chart of a market clearing method for bidding on the same station of a demand side market main body and a generator set provided by the invention.
Fig. 2 is a diagram of a specific working embodiment of the market clearing method for the same bidding of the demand-side market main body and the generator set.
Fig. 3 is a block diagram of the steps of the present invention.
Detailed Description
In order to more clearly explain the technical solution of the present invention, the following detailed description is made with reference to fig. 2.
As shown in fig. 1-3, the invention discloses a market clearing method for bidding on the same station of a demand side market main body and a generator set, which can realize respective pricing of the demand side and the generator set, and can improve the initiative of the demand side main body in the market and the enthusiasm of participating in the market as much as possible under the condition of not influencing the benefit of the market main body; the method comprises the following concrete steps:
A. and (5) a demand release stage. On the day before the operation day, when a system operation mechanism predicts that a power supply gap possibly exists in a power grid, the system operation mechanism determines to start demand response, and issues demand side response information to a demand side market main body, wherein the demand side response information comprises a demand side response time interval and a demand side response area.
B. And (5) a market declaration phase. And after receiving the demand side response information, the demand side market main body makes a day-ahead market bidding decision according to the response capability and submits demand side quotation information to a system operator. The demand side market body adopts a sectional volume-reporting price-offering mode, and the price-offering curve is monotonically increased along with the increase of the demand side response quantity.
C. And (4) a discharging stage. The method comprises the following steps that a system operator executes a spot market and demand side response combined optimization clearing program according to quotation information of a demand side market main body and system operation boundary information, and specifically comprises the following steps:
step 1: solving a safety constraint unit combination problem considering the price quoted by the demand side, wherein the safety constraint unit combination problem takes the minimum sum of the electricity purchase cost, the starting cost of the generator set and the response cost of the demand side as an objective function, and the following formula is adopted:
Figure 225487DEST_PATH_IMAGE041
wherein:Tthe number of total time periods is indicated,
Figure 791598DEST_PATH_IMAGE042
the total number of the generator sets is represented,
Figure 781682DEST_PATH_IMAGE043
the number of market entities on the demand side is represented,
Figure 407835DEST_PATH_IMAGE044
and
Figure 263796DEST_PATH_IMAGE045
respectively representing the output of the generator set and the response output of the demand side,
Figure 571280DEST_PATH_IMAGE046
represents the starting cost of the generator set,
Figure 727455DEST_PATH_IMAGE047
representing the operating cost of the generator set, as follows:
Figure 242619DEST_PATH_IMAGE048
wherein:
Figure 54717DEST_PATH_IMAGE049
indicating generator setsiIn thattIn the first periodmThe price quoted for the segments is,
Figure 228209DEST_PATH_IMAGE050
indicating generator setsiIn thattIn the first periodmThe output of the generator set of the section,
Figure 442153DEST_PATH_IMAGE051
the total number of the sections of the output of the generator set,
Figure 410109DEST_PATH_IMAGE052
representing the demand side response cost, as follows:
Figure 725815DEST_PATH_IMAGE053
wherein:
Figure 375102DEST_PATH_IMAGE054
representing demand side market entitiesjIn thattIn the first periodmThe price quoted for the segments is,
Figure 505869DEST_PATH_IMAGE055
indicating a demand-side response attIn the first periodmThe force exerted by the segments is such that,
Figure 847989DEST_PATH_IMAGE056
responding the total number of the output sections for the demand side;
solving the combination problem of the safety constraint unit needs to satisfy the following constraint conditions:
(1)
Figure 431417DEST_PATH_IMAGE057
formula (1) is the electric power balance constraint condition of safety constraint unit combination problem, wherein:
Figure 399242DEST_PATH_IMAGE058
is composed oftSubtracting provincial junctor input power from the time interval power system load;
(2)
Figure 384515DEST_PATH_IMAGE059
equation (2) is the positive reserve capacity constraint of the safety constraint unit combination problem, where:
Figure 897536DEST_PATH_IMAGE060
indicating generator setsiIn thattThe on-off state of the time period,
Figure 437102DEST_PATH_IMAGE061
indicating that the generator set is shut down,
Figure 490509DEST_PATH_IMAGE062
indicating that the generator set is turned on,
Figure 284284DEST_PATH_IMAGE063
to representt(ii) a time-horizon power system positive reserve capacity requirement;
(3)
Figure 764943DEST_PATH_IMAGE064
equation (3) is the negative reserve capacity constraint of the safety constraint unit combination problem, where:
Figure 526226DEST_PATH_IMAGE065
indicating generator setsiIn thattMinimum force for a time period;
Figure 383324DEST_PATH_IMAGE066
to representtWhen the step 1 is executed, the starting and stopping state of the generator set can be obtained when the quotation of the demand side is considered, and the state is transmitted to the step 2;
step 2: according to the starting and stopping state of the generator set transmitted in the step 1, the output of the generator set in the stopping state is set to be 0, then the safety constraint economic dispatching problem considering the quotation of the demand side is solved, and the quotation of the demand side is considered but the starting and stopping cost of the generator set is not considered; the safe and economic dispatching problem is a target function of minimizing the sum of the electricity purchasing cost and the demand side response cost, and the target function is as follows:
Figure 280873DEST_PATH_IMAGE067
wherein:
the safety constraint economic dispatching problem needs to satisfy the power balance constraint condition, the generator set down-climbing constraint condition and the generator set up-climbing constraint condition:
the formula of the constraint condition of the generator set for climbing downwards is as follows:
(4)
Figure 401275DEST_PATH_IMAGE029
wherein the content of the first and second substances,
Figure 446592DEST_PATH_IMAGE068
indicating generator setsiThe maximum down-hill climbing rate of (c),
the formula of the climbing constraint condition on the generator set is as follows:
(5)
Figure 294331DEST_PATH_IMAGE069
wherein the content of the first and second substances,
Figure 843124DEST_PATH_IMAGE070
indicating generator setsiThe step 2 is executed to obtain generator set output information, demand side output information and a Lagrange multiplier corresponding to power balance constraint, and then the generator set output information and the demand side output information are transmitted into the step 4 and the Lagrange multiplier is transmitted into the step 3;
and step 3: calculating the node electricity price considering the price quoted at the demand side according to the Lagrange multiplier introduced in the step 2
Figure 134428DEST_PATH_IMAGE071
And the value of the lagrangian multiplier is equal to that of the power balance constraint condition in the step 2.
And 4, step 4: performing safety check according to the generator set output information and the demand side output information transmitted in the step 2, and executing a step 6 if the safety check is passed; if the safety check does not pass, executing the step 5;
and 5: modifying the operation boundary conditions of the power system and the combined constraint conditions of all the safety constraint units, and turning to the step 1;
step 6: correcting a load prediction curve of a corresponding bus node based on a bid winning result on a demand side, carrying out second clearing on a power generation side, and solving a unit combination problem only considering the quotation of a generator set, wherein the unit combination problem takes the minimum sum of electricity purchasing cost and starting cost of the generator set as a target function, and the following formula is as follows:
Figure 401461DEST_PATH_IMAGE072
the unit combination problem of only considering the generator set quotation needs to satisfy the power supply and demand balance constraint condition, the positive reserve capacity constraint and the negative reserve capacity constraint:
wherein the positive spare capacity constraint and the negative spare capacity constraint are the same as in step 1,
(6)
Figure 803624DEST_PATH_IMAGE073
the above formula is the electric power supply and demand balance constraint condition of the unit combination problem, wherein:
Figure 472502DEST_PATH_IMAGE074
representing the demand side response contribution calculated in step 2.
Step 6 is executed to obtain the starting and stopping state of the generator set, and the starting and stopping state of the generator set is transmitted to step 7;
and 7: and 6, according to the starting and stopping state of the generator set transmitted in the step 6, setting the output of the generator set in the stopping state as 0, and solving the economic dispatching problem when the bidding of the demand side is not considered. The economic dispatching problem takes the minimum electricity purchasing cost as an objective function, and the following formula is adopted
Figure 154282DEST_PATH_IMAGE075
Wherein:
the economic scheduling problem needs to satisfy the following constraint conditions:
(6)
Figure 643032DEST_PATH_IMAGE076
the above equation (6) is the power supply and demand balance constraint condition of the economic dispatching problem,
(4)
Figure 848885DEST_PATH_IMAGE077
the upper formula (4) is the constraint condition of the generator set for the economic dispatching problem to climb downwards, and the formula is the middle formula
Figure 90380DEST_PATH_IMAGE078
For generating setsiIn thatt-a generated power for a period of 1,
(5)
Figure 254645DEST_PATH_IMAGE079
the formula (5) is a generator set up-grade climbing constraint condition of the economic dispatching problem, the step 7 is executed to obtain generator set output information and a Lagrange multiplier corresponding to the power supply and demand balance constraint condition, and the Lagrange multiplier is transmitted to the step 8;
and 8: calculating the node electricity price without considering the price quoted by the demand side according to the Lagrange multiplier transmitted in the step 7
Figure 699533DEST_PATH_IMAGE080
Its value is equal to the lagrange multiplier of the power supply and demand balance constraint in step 7.
The market clearing method for the same-stage bidding of the demand side market main body and the generator set is characterized in that the demand side quotation information in the steps 1, 2 and 3 comprises sectional report quotation information, and the quotation curve monotonically increases along with the increase of the response quantity.
The market clearing method for the same-stage bidding of the demand side market main body and the generator set comprises a safety check step 4 and a safety stability check step. The safety and stability check comprises ground state power flow check and static safety analysis; the ground state tide checking method comprises the following steps of checking that the transmission power of a line/section under the ground state tide flow does not exceed a limit value and the voltage level of a system bus does not exceed the limit value by using an alternating current tide model; the static safety analysis is based on an expected fault set, and an alternating current power flow model is adopted for on-off analysis, so that the condition that the load of equipment in the expected fault set does not exceed the post-accident current limit value and the system bus voltage does not exceed the limit is ensured.
The market clearing method for the demand side market main body and the generator set bidding on the same station is characterized in that the boundary conditions in the step 5 comprise the operation state of the generator set, the upper and lower output limits of the generator set, the earliest grid connection time of the generator set, a heat supply plan of a cogeneration set and the primary energy supply of the generator set.
The market clearing method for the same-stage bidding of the demand side market main body and the generator set is characterized in that the load prediction curve in the step 6 is obtained through a load prediction program of a power dispatching mechanism.
C. And (4) publishing a clearing result by a system operator, wherein the clearing result comprises the demand side output information obtained in the step 2, the power generation unit starting and stopping state obtained in the step 6, the power generation unit output information obtained in the step 7 and the node electricity price obtained in the step 8.

Claims (5)

1. A market clearing method for a demand side market main body and a generator set bidding on the same station is characterized in that firstly, on the day before the operation day, when a system operation mechanism predicts that a power grid possibly has a power supply gap, a demand response is determined to be started, and demand side response information is issued to the demand side market main body; then, after receiving the demand side response information, the demand side market main body makes a day-ahead market bidding decision according to the response capability and submits demand side quotation information to a system operator; secondly, the system operator executes the spot market and demand side response combined optimization clearing program according to the quotation information of the demand side market main body and the system operation boundary information; finally, the system operator publishes a clearing result; the clearing program carried out by the system operation mechanism specifically comprises the following steps:
step 1: solving a safety constraint unit combination problem considering the price quoted by the demand side, wherein the safety constraint unit combination problem takes the minimum sum of the electricity purchase cost, the starting cost of the generator set and the response cost of the demand side as an objective function, and the following formula is adopted:
Figure 820324DEST_PATH_IMAGE001
wherein:Tthe number of total time periods is indicated,
Figure 206306DEST_PATH_IMAGE002
the total number of the generator sets is represented,
Figure 454885DEST_PATH_IMAGE003
the number of market entities on the demand side is represented,
Figure 115673DEST_PATH_IMAGE004
and
Figure 398887DEST_PATH_IMAGE005
respectively representing the output of the generator set and the response output of the demand side,
Figure 690191DEST_PATH_IMAGE006
represents the starting cost of the generator set,
Figure 160487DEST_PATH_IMAGE007
representing the operating cost of the generator set, as follows:
Figure 624966DEST_PATH_IMAGE008
wherein:
Figure 261222DEST_PATH_IMAGE009
indicating generator setsiIn thattIn the first periodmThe price quoted for the segments is,
Figure 457848DEST_PATH_IMAGE010
indicating generator setsiIn thattIn the first periodmThe output of the generator set of the section,
Figure 946598DEST_PATH_IMAGE011
the total number of the sections of the output of the generator set,
Figure 152451DEST_PATH_IMAGE012
representing the demand side response cost, as follows:
Figure 144678DEST_PATH_IMAGE013
wherein:
Figure 777785DEST_PATH_IMAGE014
representing demand side market entitiesjIn thattIn the first periodmThe price quoted for the segments is,
Figure 284989DEST_PATH_IMAGE015
indicating a demand-side response attIn the first periodmThe force exerted by the segments is such that,
Figure 28955DEST_PATH_IMAGE016
responding the total number of the output sections for the demand side;
solving the combination problem of the safety constraint unit needs to satisfy the following constraint conditions:
(1)
Figure 875688DEST_PATH_IMAGE017
formula (1) is the electric power balance constraint condition of safety constraint unit combination problem, wherein:
Figure 178231DEST_PATH_IMAGE018
is composed oftSubtracting provincial junctor input power from the time interval power system load;
(2)
Figure 375994DEST_PATH_IMAGE019
equation (2) is the positive reserve capacity constraint of the safety constraint unit combination problem, where:
Figure 720388DEST_PATH_IMAGE020
indicating generator setsiIn thattThe on-off state of the time period,
Figure 687207DEST_PATH_IMAGE021
indicating that the generator set is shut down,
Figure 662116DEST_PATH_IMAGE022
indicating that the generator set is turned on,
Figure 81596DEST_PATH_IMAGE023
to representt(ii) a time-horizon power system positive reserve capacity requirement;
(3)
Figure 229681DEST_PATH_IMAGE024
equation (3) is the negative reserve capacity constraint of the safety constraint unit combination problem, where:
Figure 785427DEST_PATH_IMAGE025
indicating generator setsiIn thattMinimum force for a time period;
Figure 196817DEST_PATH_IMAGE026
to representtWhen the step 1 is executed, the starting and stopping state of the generator set can be obtained when the quotation of the demand side is considered, and the state is transmitted to the step 2;
step 2: according to the starting-up and stopping state of the generator set transmitted in the step 1, the output of the generator set in the stopping state is set to be 0, and then a safety constraint economic scheduling problem considering the price quoted by the demand side is solved, wherein the safety economic scheduling problem takes the minimum sum of the electricity purchasing cost and the response cost of the demand side as a target function, and the following formula is adopted:
Figure 900330DEST_PATH_IMAGE027
wherein:
the safety constraint economic dispatching problem needs to satisfy the power balance constraint condition, the generator set down-climbing constraint condition and the generator set up-climbing constraint condition:
the formula of the constraint condition of the generator set for climbing downwards is as follows:
(4)
Figure 524210DEST_PATH_IMAGE028
wherein the content of the first and second substances,
Figure 262359DEST_PATH_IMAGE029
indicating generator setsiThe maximum down-hill climbing rate of (c),
the formula of the climbing constraint condition on the generator set is as follows:
(5)
Figure 343185DEST_PATH_IMAGE030
wherein the content of the first and second substances,
Figure 471678DEST_PATH_IMAGE031
indicating generator setsiThe maximum climbing rate of the generator set is obtained by executing the step 2, and the output information of the generator set and the output information of the demand side are obtained so as toAnd a Lagrange multiplier corresponding to the power balance constraint, transmitting the generator set output information and the demand side output information into the step 4, and transmitting the Lagrange multiplier into the step 3;
and step 3: calculating the node electricity price considering the price quoted at the demand side according to the Lagrange multiplier introduced in the step 2
Figure 961565DEST_PATH_IMAGE032
The value of the lagrangian multiplier is equal to that of the corresponding power balance constraint condition in the step 2;
and 4, step 4: performing safety check according to the generator set output information and the demand side output information transmitted in the step 2, and executing a step 6 if the safety check is passed; if the safety check does not pass, executing the step 5;
and 5: modifying the operation boundary conditions of the power system and the combined constraint conditions of all the safety constraint units, and turning to the step 1;
step 6: correcting a load prediction curve of a corresponding bus node based on a bid winning result on a demand side, carrying out second clearing on a power generation side, and solving a unit combination problem only considering the quotation of a generator set, wherein the unit combination problem takes the minimum sum of electricity purchasing cost and starting cost of the generator set as an objective function, and the following formula is as follows
Figure 491903DEST_PATH_IMAGE033
The unit combination problem of only considering the generator set quotation needs to satisfy the power supply and demand balance constraint condition, the positive reserve capacity constraint and the negative reserve capacity constraint:
wherein the positive spare capacity constraint and the negative spare capacity constraint are the same as in step 1,
(6)
Figure 979517DEST_PATH_IMAGE034
the above formula is the electric power supply and demand balance constraint condition of the unit combination problem, wherein:
Figure 860885DEST_PATH_IMAGE035
representing the demand side response output calculated in the step 2;
step 6 is executed to obtain the starting and stopping state of the generator set, and the starting and stopping state of the generator set is transmitted to step 7;
and 7: setting the output of the generator set in the shutdown state as 0 according to the startup and shutdown state of the generator set transmitted in the step 6, and solving an economic scheduling problem when the price bidding of a demand side is not considered, wherein the economic scheduling problem takes the minimum electricity purchasing cost as an objective function, and the following formula is adopted
Figure 154463DEST_PATH_IMAGE036
Wherein:
the economic scheduling problem needs to satisfy the following constraint conditions:
(6)
Figure 539308DEST_PATH_IMAGE037
the above equation (6) is the power supply and demand balance constraint condition of the economic dispatching problem,
(4)
Figure 994560DEST_PATH_IMAGE038
the upper formula (4) is the constraint condition of the generator set for the economic dispatching problem to climb downwards, and the formula is the middle formula
Figure 363225DEST_PATH_IMAGE039
For generating setsiIn thatt-a generated power for a period of 1,
(5)
Figure 132597DEST_PATH_IMAGE040
the formula (5) is a generator set up-grade climbing constraint condition of the economic dispatching problem, the step 7 is executed to obtain generator set output information and a Lagrange multiplier corresponding to the power supply and demand balance constraint condition, and the Lagrange multiplier is transmitted to the step 8;
and 8: calculating the node electricity price without considering the price quoted by the demand side according to the Lagrange multiplier transmitted in the step 7
Figure 699845DEST_PATH_IMAGE041
Its value is equal to the lagrange multiplier of the power supply and demand balance constraint in step 7.
2. The market clearing method for the demand-side market entity bidding on the same station as the generator set according to claim 1, wherein the demand-side quotation information in steps 1, 2 and 3 comprises segment-by-segment quotation information, and the quotation curve monotonically increases as the response volume increases.
3. The market clearing method for the same-stage bidding of the demand-side market subject and the generator set according to claim 1, wherein the safety check in the step 4 is divided into a power balance check and a safety stability check, and the safety stability check comprises a ground state power flow check and a static safety analysis; the ground state tide checking method comprises the following steps of checking that the transmission power of a line/section under the ground state tide flow does not exceed a limit value and the voltage level of a system bus does not exceed the limit value by using an alternating current tide model; the static safety analysis is based on an expected fault set, and an alternating current power flow model is adopted for on-off analysis, so that the condition that the load of equipment in the expected fault set does not exceed the post-accident current limit value and the system bus voltage does not exceed the limit is ensured.
4. The market clearing method for the same-stage bidding of the demand-side market entity and the generator set according to claim 1, wherein the boundary conditions in the step 5 comprise an operation state of the generator set, upper and lower limits of output of the generator set, the earliest available grid-connection time of the generator set, a heating plan of the cogeneration set and a primary energy supply of the generator set.
5. The market clearing method for the same bid on the demand-side market entity and the generator set according to claim 1, wherein the load prediction curve in step 6 is obtained by a load prediction program of a power dispatching entity.
CN202111052649.4A 2021-09-09 2021-09-09 Market clearing method for one-stage bidding of demand side market main body and generator set Active CN113506156B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202111052649.4A CN113506156B (en) 2021-09-09 2021-09-09 Market clearing method for one-stage bidding of demand side market main body and generator set

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202111052649.4A CN113506156B (en) 2021-09-09 2021-09-09 Market clearing method for one-stage bidding of demand side market main body and generator set

Publications (2)

Publication Number Publication Date
CN113506156A true CN113506156A (en) 2021-10-15
CN113506156B CN113506156B (en) 2022-02-22

Family

ID=78017012

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202111052649.4A Active CN113506156B (en) 2021-09-09 2021-09-09 Market clearing method for one-stage bidding of demand side market main body and generator set

Country Status (1)

Country Link
CN (1) CN113506156B (en)

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109919472A (en) * 2019-02-27 2019-06-21 华南理工大学 A kind of GENERATION MARKET iteration price competing method considering more Interest Main Body games
CN110555590A (en) * 2019-07-31 2019-12-10 云南电网有限责任公司 secondary clearing method for watershed cascade upstream and downstream power stations participating in electric power spot market
US20200082422A1 (en) * 2018-09-12 2020-03-12 Mitsubishi Electric Research Laboratories, Inc. Day-Ahead Joint Generation Scheduling and Bidding Optimization for Power Plants
CN111049192A (en) * 2019-12-11 2020-04-21 云南电网有限责任公司 Power generation control method considering renewable energy resource bidding on same station
CN112446540A (en) * 2020-11-25 2021-03-05 广东电网有限责任公司电力调度控制中心 Electric power spot market clearing and settlement optimizing method and device
CN112488776A (en) * 2020-12-25 2021-03-12 国网浙江省电力有限公司 Power generator market force monitoring method and system for counting medium and long-term contracts under market double-side quotation

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20200082422A1 (en) * 2018-09-12 2020-03-12 Mitsubishi Electric Research Laboratories, Inc. Day-Ahead Joint Generation Scheduling and Bidding Optimization for Power Plants
CN109919472A (en) * 2019-02-27 2019-06-21 华南理工大学 A kind of GENERATION MARKET iteration price competing method considering more Interest Main Body games
CN110555590A (en) * 2019-07-31 2019-12-10 云南电网有限责任公司 secondary clearing method for watershed cascade upstream and downstream power stations participating in electric power spot market
CN111049192A (en) * 2019-12-11 2020-04-21 云南电网有限责任公司 Power generation control method considering renewable energy resource bidding on same station
CN112446540A (en) * 2020-11-25 2021-03-05 广东电网有限责任公司电力调度控制中心 Electric power spot market clearing and settlement optimizing method and device
CN112488776A (en) * 2020-12-25 2021-03-12 国网浙江省电力有限公司 Power generator market force monitoring method and system for counting medium and long-term contracts under market double-side quotation

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
王玉玮: "基于不同视角及主体特性的现货电力市场决策模型研究", 《中国博士学位论文全文数据库 工程科技Ⅱ辑》 *

Also Published As

Publication number Publication date
CN113506156B (en) 2022-02-22

Similar Documents

Publication Publication Date Title
CN110188950B (en) Multi-agent technology-based optimal scheduling modeling method for power supply side and demand side of virtual power plant
Marzband et al. Experimental evaluation of a real time energy management system for stand-alone microgrids in day-ahead markets
Wu et al. A multi-agent-based energy-coordination control system for grid-connected large-scale wind–photovoltaic energy storage power-generation units
Karami et al. Stochastic analysis of residential micro combined heat and power system
Benini et al. Battery energy storage systems for the provision of primary and secondary frequency regulation in Italy
Xu et al. Multi-objective chance-constrained optimal day-ahead scheduling considering BESS degradation
CN113610311A (en) Comprehensive energy service provider cooperation operation optimization method considering carbon emission reduction under double-layer cooperative architecture
Zhang et al. Optimization dispatch modeling for demand response considering supply and demand balance and security constraints
CN112671022A (en) Optical storage charging station capacity optimal configuration method, system, terminal and storage medium
CN113609439A (en) Spot market clearing method and device considering clearing of power generation side and quotation ratio
TWI650728B (en) Multi-agent-based day-ahead dispatch method for microgrid
TWI725606B (en) Distributed electric energy management method for electric vehicle charging station
Pałka et al. Balancing electric power in a microgrid via programmable agents auctions
CN113506156B (en) Market clearing method for one-stage bidding of demand side market main body and generator set
JP6549896B2 (en) Electric power demand adjustment device, electric power demand adjustment method and electric power demand adjustment program
CN116885714A (en) Electric power market balancing method, system, equipment and storage medium
Luna et al. Generation and demand scheduling for a grid-connected hybrid microgrid considering price-based incentives
CN113964852B (en) Power generation control method and device of virtual power plant oriented to shared energy storage
CN115764899A (en) Joint optimization scheduling method based on deep peak shaving and related device
Forero-Quintero et al. A flexibility management system for behind-the-meter flexibility with distributed energy resources: A sensitivity analysis
CN106159983A (en) Energy-storage battery management method in a kind of micro-capacitance sensor
Sun et al. Generalized energy storage allocation strategies for load aggregator in hierarchical electricity markets
CN117200261B (en) Energy storage equipment control method and device based on power grid frequency modulation and storage medium
Awad Novel planning and market models for energy storage systems in smart grids
CN110281793A (en) Pluggable or mobile charging station the system and method for setting in a kind of power plant

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant
OL01 Intention to license declared
OL01 Intention to license declared