CN111027798A - Method and system for participating in spot energy market by transfer type load - Google Patents

Method and system for participating in spot energy market by transfer type load Download PDF

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CN111027798A
CN111027798A CN201911012732.1A CN201911012732A CN111027798A CN 111027798 A CN111027798 A CN 111027798A CN 201911012732 A CN201911012732 A CN 201911012732A CN 111027798 A CN111027798 A CN 111027798A
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朱涛
陈青
杨骏伟
卢恩
王一
王浩浩
吴明兴
段秦刚
王宁
厉韧
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Guangdong Electric Power Transaction Center Co ltd
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Abstract

The invention discloses a method and a system for participating in spot energy market by a transfer type load, and discloses a method and a system for bringing a transfer type demand response load into a date-ahead energy market clearing model, wherein the method comprises the following steps: aiming at LS load users, acquiring basic bidding information reported by the LS load users, and establishing a market clearing model capable of transferring demand response loads; aiming at LO load users, basic bidding information reported by the LO load users is obtained, and a market clearing model capable of translating demand response loads is established; integrating bidding information of the transfer type demand response load into a day-ahead energy market, and clearing bidding results of each main body of the market, including the transfer type load, by taking the minimum total operation cost of the whole network as a target; fixing the unit state and the load demand of each time interval according to the market clearing result, and determining the clearing price of the energy market in the day before according to the quotation information of the unit; the user or the power selling company with the transfer load purchases electricity in the energy market at the lowest cost, and the expected income of the electricity price difference is obtained. The method optimizes the benefit of market allocation resources and improves the source-load coordination interaction capacity of the power grid.

Description

Method and system for participating in spot energy market by transfer type load
Technical Field
The invention relates to the technical field of demand side response of an electric power market, in particular to a method and a system for bringing a transfer type demand response load into a day-ahead energy market clearing model.
Background
With the continuous development and popularization of application technologies of electric automobiles, user side energy storage, intelligent electric meters and the like in China, more and more flexible loads with response capability appear on the power grid demand side. On the premise of meeting the actual requirements of users, the loads can flexibly transfer electricity utilization time, implement Demand side Response (DR), change from passive to active, and effectively participate in operation planning of the power system.
At present, the construction of the spot power market in China is steadily promoted, and the demand response project of a user side needs to be developed. Under the background of the spot market, the wholesale market serves as a core hub of the whole electric energy trading process, and the reasonable design of the demand response items of the wholesale market becomes the key for promoting the successful implementation of demand side response of the whole network. The participation of demand responses in the energy market brings many significant benefits to the system operation, such as reduction of market electricity prices, market force suppression, enhancement of operational safety, and increase of investment revenue.
Disclosure of Invention
The invention aims to solve the problem that a transfer type Load cannot effectively participate in the market under the current spot market background, and provides a method and a system for bringing a transfer type demand response Load into a day-ahead energy market clearing model, wherein the transfer type Load comprises a Load Shifting (LS) with a variable power utilization curve shape and a fixed and unchangeable Load Shifting (LO). .
In order to achieve the purpose, the technical scheme of the invention is as follows:
in a first aspect, the present invention provides a method for participating in a spot energy market with a shifting load, comprising:
aiming at LS load users, acquiring reported basic bidding information, and establishing a market clearing model capable of transferring demand response loads;
aiming at LO load users, basic bidding information reported by the LO load users is obtained, and a market clearing model capable of translating demand response loads is established;
integrating bidding information of the transfer type demand response load into a day-ahead energy market, and selecting bidding results of each main body of the market, including the transfer type load, with the minimum total operation cost of the whole network as a target;
fixing the unit state and the load demand of each time interval according to the market clearing result, and determining the clearing price of the energy market in the day before according to the quotation information of the unit;
the user or the power selling company with the transfer load purchases electricity in the energy market at the lowest cost, and the expected income of the electricity price difference is obtained.
In a second aspect, the present invention contemplates a system for participation in a spot energy market with a shifting load, comprising:
the first information acquirer is used for acquiring basic bidding information reported by the LS load user;
the first information processor is used for receiving the information data transmitted by the first information acquirer so as to establish a market clearing model capable of transferring the demand response load;
the second information acquirer is used for acquiring basic bidding information reported by the LO load user;
the second information processor is used for receiving the information data transmitted by the second information acquirer and establishing a market clearing model capable of translating the demand response load;
the third information processor is used for receiving the information data transmitted by the first information processor and the second information processor, integrating the information data into the energy market in the day ahead, and establishing an optimization model with the minimum total network operation cost as a target to intensively release bidding results of all main bodies in the market, wherein the bidding results comprise unit output, transfer type load and just-needed load; fixing the unit state and the load demand of each time period according to the market clearing result, processing and calculating according to the quotation information of the unit, and determining the clearing price of the energy market in the day ahead;
and the transfer type load user or the power selling company client is used for acquiring the outgoing clear electricity price of the energy market in the day before determined by the third information processor.
Compared with the prior art, the invention has the beneficial effects that:
the invention provides a day-ahead energy market clearing model considering transfer type demand response, a market participation method of 2 types of most universal transfer type loads which can be transferred and translated is considered, a corresponding market trading system structure is designed, and the implementation of demand side response projects in the spot market of China is effectively promoted.
The day-ahead energy market clearing method considering the transfer type load demand response has the advantages that the user participation mode is simple, the market clearing model is easy to understand, the transfer type load becomes a resource which can be called by a trading center, the capacity of market allocation resources is improved, and the source-charge coordination interaction of a power grid is promoted, so that the effects of reducing the market price, restraining market power, enhancing the operation safety, improving the investment income and the like are achieved.
Drawings
FIG. 1 is a flow chart of a method for a shifting-type load participating in a spot energy market provided by an embodiment of the present invention;
FIG. 2 is a flow chart of the participation of a transfer-type demand response in a day-ahead energy market;
FIG. 3 is a diagram of an IEEE-30 node topology;
fig. 4 is a schematic diagram of a system for participating in the spot energy market by the shifted load according to an embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and detailed description.
In order to solve the problem that the transferred load cannot effectively participate in the market in the current spot market background, the embodiment provides a transferred demand response method and system based on a day-ahead energy market clearing mechanism. The method for responding the implementation requirement of the transfer type load optimizes the benefit of market allocation resources and stimulates the active participation of the user side load on the premise of finishing the basic objective of clearing the energy market at the day ahead.
Example 1:
referring to fig. 1, the method for participating in the spot energy market by the transferred load according to the embodiment includes:
s1, aiming at LS load users with flexible electricity consumption and time-interval transfer characteristics, basic bidding information is reported on the premise of certain economic incentive, and a market clearing model capable of transferring demand response loads is established;
s2, aiming at LO load users continuously using electricity in industrial production, reporting basic bidding information and establishing a market clearing model capable of translating demand response load on the premise of certain economic incentive by considering the continuity of a production process;
s3, the electric power trading center integrates bidding information of the transfer type demand response load into the day-ahead energy market, and the bidding results of each main body of the market are cleared by taking the minimum total operation cost of the whole network as a target, wherein the bidding results include the transfer type load;
s4, fixing the unit state and the load demand of each time interval according to the market clearing result, and determining the clearing price of the energy market in the day before according to the quotation information of the unit;
s5, the trading center publishes the market clearing result in the day ahead, and the transfer type load user or the electricity selling company purchases electricity in the recovery time period to obtain the expected income of the electricity price difference. Specifically, the trading center publishes the market clearing result before the day, and the transfer type load users or electricity selling companies which have successfully cleared the market use electricity in the recovery period, so that the next day electricity demand can be met at the lowest cost, and the expected electricity price difference profit is obtained.
The following is further described in terms of an embodiment (the system of cases is shown in fig. 2-3):
specifically, in steps S1 and S2, when the energy market is opened day before, 2 LS load large users (power selling companies) and 2 LO load large users (power selling companies) report basic bidding information to the power trading center according to the next day load demand and the prediction of the consumption period, as shown in table 1.
TABLE 1 LS/LO load user day-ahead bid information
Figure BDA0002244687530000031
Figure BDA0002244687530000041
Here, the user 1 represents an operator of a parking lot charging pile, and all vehicles need to be fully charged before 8 o 'clock in consideration of meeting the demand of the user on a trip in the daytime, namely the recovery time is before 8 o' clock; the desired profit for user 1 is 0, indicating that the user is willing to shift the load as long as there is a power price difference. User 2 represents the central air conditioner power consumption of a certain commercial district, and can start the air conditioner work in advance to cool the indoor in order to maintain the comfort level of the indoor temperature in the working hours in the afternoon, so that the power consumption in the working hours (after 14 o' clock) is reduced; however, the operation model may reduce the power utilization comfort of some users, cause certain loss, and need to meet the economic compensation of 40 yuan/MWh to participate. The user 3 represents a manufacturing plant in a certain area, the production cost of which is high in the electric charge rate, and in the case of the transfer profit of more than 10 yuan/MWh, the user is willing to move the production electricity in the afternoon to the evening. User 4 also represents a regional manufacturing plant, but considering the continuity of the industrial process flow, the overall translational load is required, and the expected profit for this user is also 10 RMB/MWh. The above 4 LS/LO load users only shift or translate once during a market clearing period.
Further, in step S1, a market clearing model is established according to the bid information reported by the LS load user, as follows:
1) market clearing model for LS load
Transfer power of ls load:
Figure BDA0002244687530000042
in the formula (I), the compound is shown in the specification,
Figure BDA0002244687530000043
Figure BDA0002244687530000044
a variable of 0-1, identifying whether the LS load is transferred; k is a network node number; LS is the LS load entity (electricity big user or electricity selling company) number of the node; m is the number of stages for transferring load bidding, and a user can select segmented transfer according to actual conditions;
Figure BDA0002244687530000045
for the transferred electrical quantity of the LS load,
Figure BDA0002244687530000046
to transfer the minimum amount of electricity, an admission capacity equal to or greater than the energy market in the day ahead is required.
Recovery power of ls load:
Figure BDA0002244687530000047
in the formula, αls,kThe recovery coefficient for the user load is equal to 1.
Transfer cost of LS load:
Figure BDA0002244687530000048
2) constraint of LS load
a. Time period during which load can be transferred
Figure BDA0002244687530000049
And (3) constraint:
Figure BDA00022446875300000410
b. minimum duration transfer time
Figure BDA00022446875300000411
And (3) constraint:
Figure BDA00022446875300000412
c. maximum duration transfer time
Figure BDA0002244687530000051
And (3) constraint:
Figure BDA0002244687530000052
wherein the transfer time reported by 2 LS users participating in the market at the present is determined, i.e.
Figure BDA0002244687530000053
d. Time between transfers
Figure BDA0002244687530000054
And (3) constraint:
Figure BDA0002244687530000055
e. recoverable time period
Figure BDA0002244687530000056
And (3) constraint:
Figure BDA0002244687530000057
further, in step S2, according to the bidding information reported by the LO load user, a market clearing model is established as follows:
1) market clearing model for LO load
Translation power of lo load:
Figure BDA0002244687530000058
in the formula, the number of panning stages NQ of the user 2loNumber of panning stages NQ for user 4, 1lo＝4。
Raw load demand of lo load:
Figure BDA0002244687530000059
in which the LO load is translated successfully, i.e. when it is
Figure BDA00022446875300000510
The original load is 0; otherwise the original load is unchanged.
Translation cost of lo load:
Figure BDA00022446875300000511
2) constraints of LO load
a. Load translatable times constraint:
Figure BDA00022446875300000512
b. load translatable time constraints:
Figure BDA00022446875300000513
specifically, in step S3, a day-ahead energy market clearing model that accounts for the shifting-type demand response load is constructed as follows:
1) an objective function: the whole network operation cost of 24 hours the next day is taken as a target;
Figure BDA0002244687530000061
wherein the content of the first and second substances,
Figure BDA0002244687530000062
Figure BDA0002244687530000063
Figure BDA0002244687530000064
Figure BDA0002244687530000065
Figure BDA0002244687530000066
Figure BDA0002244687530000067
in the formula, Ci,t(Pi,t)、SUi,tAnd SDi,tRespectively the running cost and the starting and stopping cost of the unit; IC (integrated circuit)tFor LS/LO load transfer cost αi,tMarking the starting and stopping state of the unit i in a time period t as a variable of 0-1;
Figure BDA0002244687530000068
and
Figure BDA0002244687530000069
representing the no-load running cost and the start-stop cost of the unit i; pi minThe minimum economic output lower limit of the unit i is set; m is dayThe unit subsection price reporting number of the front energy market;
Figure BDA00022446875300000610
and (4) reporting the upper limit of the output of each section for the unit i.
2) The constraints of the pull-out model are as follows:
a. system power balance constraints
And the dispatching department predicts the system load curve on the 2 nd day, namely the original load data according to the historical load data and the weather condition. For simplification, the load change rules of all nodes are assumed to be consistent, and the load is shared according to the load ratio of the nodes. The original predicted load is combined with market bidding information of the transfer type load user to form the power demand of the energy market at the day before.
Figure BDA00022446875300000611
Figure BDA00022446875300000612
Here, the network loss coefficient of the system transmission power is taken as γ0＝0.03。
b. System rotational back-up constraint
Figure BDA00022446875300000613
Figure BDA00022446875300000614
Figure BDA00022446875300000615
Figure BDA00022446875300000616
Figure BDA00022446875300000617
Figure BDA00022446875300000618
In the formula (I), the compound is shown in the specification,
Figure BDA0002244687530000071
and
Figure BDA0002244687530000072
the climbing speeds of the unit i are the upper climbing speed and the lower climbing speed respectively;
Figure BDA0002244687530000073
the power can be used for the unit i at the upper part and the lower part of the time period t;
Figure BDA0002244687530000074
the system is in standby requirement for up and down rotation.
The spinning reserve demand of the system is set as a proportionality coefficient of the total predicted load, with the upper spin being 3% and the lower spin being 1%.
c. Network flow constraints
From the aspect of power system operation, the economic dispatching problem of a power grid is solved in the market at present, the optimal active power flow distribution in the next day is concerned, and the power grid belongs to a high-voltage power transmission network system. In order to simplify the calculation, the clear model adopts a direct current load flow equation to calculate the active power of the line in each period.
Figure BDA0002244687530000079
Figure BDA0002244687530000075
Figure BDA0002244687530000076
Figure BDA0002244687530000077
In the formula, Gl-i、Gl-jAnd Gl-kInjection of a transfer distribution factor, G, of power to branch l for a node of a networks-i、Gs-jAnd Gs-kInjecting a transfer distribution factor of power to the section s for the nodes of the network, and obtaining the transfer distribution factor by offline load flow calculation; pl maxAnd Ps maxThe maximum transmission power of the line l and the section s.
Further, a CPLEX solver is called in GAMS to optimize the day-ahead market clearing model considering the transfer type demand response, and the optimization result of the transfer type load user is shown in a table 2.
TABLE 2 LS/LO load user market clearing results
Figure BDA0002244687530000078
Transfer users 1, 2, and 3 were successfully cleared, and user 4 was not able to clear as desired. As can be seen from the energy market available at each time period day ahead in comparison table 4, the shifting type loads are all shifted from the high power rate region to the low power rate region, and the shifting profit of the user 4 fails to satisfy its expected value without shifting.
Specifically, in step S4, the optimization result of the energy market Safety Constraint Unit Combination (SCUC) model before the day of step S3 fixes the unit state and the load demand of the next day, and then calculates a Safety Constraint Economic Dispatch (SCED) model, and determines the marginal clear price of each stage of the energy market before the day according to the quoted price information of the unit.
Figure BDA0002244687530000081
Further, the prices of the electric power discharged from the market are shown in table 3.
TABLE 3 clear price of day-ahead energy market at each time interval
Figure BDA0002244687530000082
Specifically, in step 5, the trading center publishes the market clearing result before the day, and the transfer type load users or electricity selling companies which have successfully cleared the market use electricity in the recovery period, so as to meet the next day electricity demand with the lowest cost and obtain the expected electricity price difference profit.
Further, the participation of the LS/LO load users benefits, see table 4.
TABLE 4 market benefit of shifting load users
Figure BDA0002244687530000083
The actual transfer benefits of users 1, 2 and 3 are all higher than the expected value reported by them, and the actual transfer benefit of user 4 is equal to 1669.47 yuan, which is less than the expected benefit. Compared with the user 3 and the user 4, the expected unit load transfer benefits reported by the users are the same, namely 10 yuan/MWh, but the market clearing result shows that only LS load transfer is successful. This is because the LS load can change the power usage curve, has higher transfer flexibility relative to the LO load, and is therefore easier to be marketed.
Therefore, the day-ahead energy market clearing method considering the transfer type load demand response has the advantages that the user participation mode is simple, the market clearing model is easy to understand, the transfer type load becomes a resource which can be called by a trading center, the capacity of market allocation resources is improved, the source-charge coordinated interaction of a power grid is promoted, the market price can be reduced, the market power is restrained, the operation safety is enhanced, and the investment income is improved.
Example 2:
referring to fig. 4, the system for participating in the spot energy market with the shifted load according to the embodiment includes:
a first information acquirer 41, configured to acquire basic bidding information reported by an LS load user;
a first information processor 42, configured to receive the information data transmitted by the first information acquirer 41, so as to establish a market clearing model capable of transferring demand response load;
a second information acquirer 43, configured to acquire basic bidding information reported by the LO load user;
a second information processor 44, configured to receive the information data transmitted by the second information acquirer 43, and establish a market clearing model capable of shifting a demand response load;
a third information processor 45, configured to receive the information data transmitted by the first information processor 42 and the second information processor 44, integrate the information data into the energy market in the day ahead, and establish an optimization model with the minimum total network operation cost as a target to centrally release bidding results of each main body in the market, including unit output, transfer type load and just-needed load; fixing the unit state and the load demand of each time interval according to the market clearing result, processing and calculating according to the quotation information of the unit, and determining the clearing electricity price of the energy market in the day ahead;
a transfer-type load user or electricity selling company client 46 for acquiring the outgoing clear price of the energy market in the day ahead determined by the third information processor 45; that is, the trading center publishes the market clearing result before the day, and the transfer type load user or the electricity selling company which has successfully cleared the market gets the electricity in the recovery period, so as to meet the next day electricity demand with the lowest cost and obtain the expected electricity price difference profit. Therefore, after receiving the information through the client, the transfer type load user or the electricity selling company can purchase electricity in the energy market at the lowest cost, thereby achieving the effects of reducing the market electricity price, restraining market force, enhancing the operation safety, improving the investment income and the like.
Specifically, the bid information acquired by the first information acquirer 41 includes:
reporting electric quantity of LS load in transferable time period
Figure BDA0002244687530000091
Transfer earning expected by LS load user or electricity selling company
Figure BDA0002244687530000092
Transfer period and recovery period acceptable to LS load user or electricity selling company
Figure BDA0002244687530000093
Specifically, the market clearing model of transferable demand-responsive loads established by the first information processor 42 includes:
1) transfer power of LS load:
Figure BDA0002244687530000094
in the formula (I), the compound is shown in the specification,
Figure BDA0002244687530000095
Figure BDA0002244687530000096
a variable of 0-1, identifying whether the LS load is transferred; k is a network node number; LS is the LS load entity number of the node; m is the number of stages for transferring load bidding, and a user can select segmented transfer according to actual conditions;
Figure BDA0002244687530000097
for the transferred electrical quantity of the LS load,
Figure BDA0002244687530000098
the admission capacity of the energy market in the day before or above is required for the minimum transferred electric quantity;
2) recovery power of LS load:
Figure BDA0002244687530000099
in the formula, αls,kIs the recovery coefficient of the load;
3) cost of transfer of LS load:
Figure BDA0002244687530000101
the constraints of the market clearing model for transferable demand response loads include:
1) time period during which load can be transferred
Figure BDA0002244687530000102
And (3) constraint:
Figure BDA0002244687530000103
2) minimum duration transfer time
Figure BDA0002244687530000104
And (3) constraint:
Figure BDA0002244687530000105
3) maximum duration transfer time
Figure BDA0002244687530000106
And (3) constraint:
Figure BDA0002244687530000107
4) time between transfers
Figure BDA0002244687530000108
And (3) constraint:
Figure BDA0002244687530000109
5) recoverable time period
Figure BDA00022446875300001010
And (3) constraint:
Figure BDA00022446875300001011
wherein the content of the first and second substances,
Figure BDA00022446875300001012
to restore the state flag volume.
The bidding information acquired by the second information acquirer 43 includes:
reported electric quantity of LO load in next day
Figure BDA00022446875300001013
In the formula, t*Is the translation load start period submitted by the LO load entity, and
Figure BDA00022446875300001014
desired translational gain by LO load users or by electricity vendors
Figure BDA00022446875300001015
Translation and recovery periods acceptable to LO load users or electricity vendors
Figure BDA00022446875300001016
The market clearing model for translatable demand responsive loads established by the second information processor 44 comprises:
1) translation power of LO load:
Figure BDA00022446875300001017
in the formula (I), the compound is shown in the specification,
Figure BDA00022446875300001018
the amount is marked for translation; m is the number of the time-span periods of the translational load, and
Figure BDA00022446875300001019
NQlois the maximum number of time-span segments;
Figure BDA00022446875300001020
the load quantity of the original time span is a parameter array to be input;
2) raw load demand of LO load:
Figure BDA0002244687530000111
in which the LO load is translated successfully, i.e. when it is
Figure BDA0002244687530000112
The original load is 0; otherwise, the original load is unchanged;
3) translation cost of LO load:
Figure BDA0002244687530000113
the market clearing model constraints for translatable demand response loads include:
1) load translatable times constraint:
Figure BDA0002244687530000114
2) load translatable time constraints:
Figure BDA0002244687530000115
the minimum total network operation cost established by the third information processor 45 is targeted to:
Figure BDA0002244687530000116
wherein the content of the first and second substances,
Figure BDA0002244687530000117
Figure BDA0002244687530000118
Figure BDA0002244687530000119
Figure BDA00022446875300001110
Figure BDA00022446875300001111
Figure BDA00022446875300001112
in the formula, Ci,t(Pi,t)、SUi,tAnd SDi,tRespectively the running cost and the starting and stopping cost of the unit; IC (integrated circuit)tFor LS/LO load transfer cost αi,tMarking the starting and stopping state of the unit i in a time period t as a variable of 0-1;
Figure BDA00022446875300001113
and
Figure BDA00022446875300001114
representing the no-load running cost and the start-stop cost of the unit i; pi minThe minimum economic output lower limit of the unit i is set; m is the unit sectional price reporting number of the energy market in the day ahead;
Figure BDA00022446875300001115
and (4) reporting the upper limit of the output of each section for the unit i.
The constraint conditions of the objective function with minimum total network operation cost comprise:
the constraint conditions of the energy market clearing model in the day ahead are wholly divided into: the system constraint, the unit constraint, the LS/LO load constraint and the power flow constraint are 4 groups, wherein the system constraint comprises a power balance constraint and a rotation standby constraint, the unit constraint comprises an output upper limit constraint, a climbing constraint, a minimum continuous start-stop time constraint and a maximum start-stop times constraint, and the power flow constraint comprises a line constraint and a section constraint.
a. System power balance constraints
Figure BDA0002244687530000121
Figure BDA0002244687530000122
In the formula (I), the compound is shown in the specification,
Figure BDA0002244687530000123
load is originally predicted for the system node; dk,tThe node load after the transfer is carried out; t isj,tTransmitting power for the tie line; gamma ray0And predicting the network loss coefficient of the system transmission power according to the offline power flow analysis result.
b. System rotational back-up constraint
Figure BDA0002244687530000124
Figure BDA0002244687530000125
Figure BDA0002244687530000126
Figure BDA0002244687530000127
Figure BDA0002244687530000128
Figure BDA0002244687530000129
In the formula (I), the compound is shown in the specification,
Figure BDA00022446875300001210
and
Figure BDA00022446875300001211
the climbing speeds of the unit i are the upper climbing speed and the lower climbing speed respectively;
Figure BDA00022446875300001212
the power can be used for the unit i at the upper part and the lower part of the time period t;
Figure BDA00022446875300001213
is a systemThe upper and lower rotation of the rotary shaft is required for standby.
c. Network flow constraints
From the aspect of power system operation, the economic dispatching problem of a power grid is solved in the market at present, the optimal active power flow distribution in the next day is concerned, and the power grid belongs to a high-voltage power transmission network system. In order to simplify the calculation, the clear model adopts a direct current load flow equation to calculate the active power of the line in each period.
Figure BDA00022446875300001214
Figure BDA00022446875300001215
Figure BDA00022446875300001216
Figure BDA00022446875300001217
In the formula, Gl-i、Gl-jAnd Gl-kInjection of a transfer distribution factor, G, of power to branch l for a node of a networks-i、Gs-jAnd Gs-kInjecting a transfer distribution factor of power to the section s for the nodes of the network, and obtaining the transfer distribution factor by offline load flow calculation; pl maxAnd Ps maxThe maximum transmission power of the line l and the section s.
The above embodiments are only for illustrating the technical concept and features of the present invention, and the purpose thereof is to enable those skilled in the art to understand the contents of the present invention and implement the present invention accordingly, and not to limit the protection scope of the present invention accordingly. All equivalent changes or modifications made in accordance with the spirit of the present disclosure are intended to be covered by the scope of the present disclosure.

Claims (10)

1. A method of participating in a spot energy market with a shifting load, comprising:
aiming at LS load users, acquiring basic bidding information reported by the LS load users, and establishing a market clearing model capable of transferring demand response loads;
aiming at LO load users, basic bidding information reported by the LO load users is obtained, and a market clearing model capable of translating demand response loads is established;
integrating bidding information of the transfer type demand response load into a day-ahead energy market, and clearing bidding results of each main body of the market, including the transfer type load, by taking the minimum total operation cost of the whole network as a target;
fixing the unit state and the load demand of each time interval according to the market clearing result, and determining the clearing price of the energy market in the day before according to the quotation information of the unit;
the user or the power selling company with the transfer load purchases electricity in the energy market at the lowest cost, and the expected income of the electricity price difference is obtained.
2. The method of claim 1, wherein said obtaining basic bid information reported thereon for LS load users and establishing a market clearing model for transferable demand-responsive loads comprises:
obtaining bidding information, wherein the bidding information comprises:
reporting electric quantity of LS load in transferable time period
Figure FDA0002244687520000011
Transfer earning expected by LS load user or electricity selling company
Figure FDA0002244687520000012
Transfer period and recovery period acceptable to LS load user or electricity selling company
Figure FDA0002244687520000013
The market clearing model building method capable of transferring demand response load comprises the following steps:
transfer power of LS load:
Figure FDA0002244687520000014
in the formula (I), the compound is shown in the specification,
Figure FDA0002244687520000015
Figure FDA0002244687520000016
a variable of 0-1, identifying whether the LS load is transferred; k is a network node number; LS is the LS load entity number of the node; m is the number of stages for transferring load bidding, and a user can select segmented transfer according to actual conditions;
Figure FDA0002244687520000017
for the transferred electrical quantity of the LS load,
Figure FDA0002244687520000018
the admission capacity of the energy market in the day before or above is required for the minimum transferred electric quantity;
recovery power of LS load:
Figure FDA0002244687520000019
in the formula, αls,kIs the recovery coefficient of the load;
cost of transfer of LS load:
Figure FDA00022446875200000110
the constraints of the market clearing model for transferable demand response loads include:
time period during which load can be transferred
Figure FDA0002244687520000021
And (3) constraint:
Figure FDA0002244687520000022
minimum duration transfer time
Figure FDA0002244687520000023
And (3) constraint:
Figure FDA0002244687520000024
maximum duration transfer time
Figure FDA0002244687520000025
And (3) constraint:
Figure FDA0002244687520000026
time between transfers
Figure FDA0002244687520000027
And (3) constraint:
Figure FDA0002244687520000028
recoverable time period
Figure FDA0002244687520000029
And (3) constraint:
Figure FDA00022446875200000210
wherein the content of the first and second substances,
Figure FDA00022446875200000211
to restore the state flag volume.
3. The method of claim 1, wherein the obtaining basic bid information reported by LO load users and establishing a market clearing model for translatable demand response loads comprises:
obtaining bidding information, wherein the bidding information comprises:
reported electric quantity of LO load in next day
Figure FDA00022446875200000212
In the formula, t*Is the translation load start period submitted by the LO load entity, and
Figure FDA00022446875200000213
desired translational gain by LO load users or by electricity vendors
Figure FDA00022446875200000214
Translation and recovery periods acceptable to LO load users or electricity vendors
Figure FDA00022446875200000215
The method comprises the following steps of establishing a market clearing model capable of translating demand response load:
translation power of LO load:
Figure FDA00022446875200000216
in the formula (I), the compound is shown in the specification,
Figure FDA00022446875200000217
the amount is marked for translation; m is the number of the time-span periods of the translational load, and
Figure FDA00022446875200000218
NQlois the maximum number of time-span segments;
Figure FDA00022446875200000219
the load quantity of the original time span is a parameter array to be input;
raw load demand of LO load:
Figure FDA0002244687520000031
in which the LO load is translated successfully, i.e. when it is
Figure FDA0002244687520000032
The original load is 0; otherwise, the original load is unchanged;
translation cost of LO load:
Figure FDA0002244687520000033
the market clearing model constraints for translatable demand response loads include:
load translatable times constraint:
Figure FDA0002244687520000034
b. load translatable time constraints:
Figure FDA0002244687520000035
4. the method of claim 1, wherein the minimum total network operating cost is targeted to:
an objective function:
Figure FDA0002244687520000036
wherein the content of the first and second substances,
Figure FDA0002244687520000037
Figure FDA0002244687520000038
Figure FDA0002244687520000039
Figure FDA00022446875200000310
Figure FDA00022446875200000311
Figure FDA00022446875200000312
in the formula, Ci,t(Pi,t)、SUi,tAnd SDi,tRespectively the running cost and the starting and stopping cost of the unit; IC (integrated circuit)tFor LS/LO load transfer cost αi,tMarking the starting and stopping state of the unit i in a time period t as a variable of 0-1;
Figure FDA00022446875200000313
and
Figure FDA00022446875200000314
representing the no-load running cost and the start-stop cost of the unit i; pi minThe minimum economic output lower limit of the unit i is set; m is the unit sectional price reporting number of the energy market in the day ahead;
Figure FDA00022446875200000315
and (4) reporting the upper limit of the output of each section for the unit i.
5. A system for participation in a spot energy market with a shifting load, comprising
A first information acquirer for acquiring basic bidding information reported by the LS load user,
the first information processor is used for receiving the information data transmitted by the first information acquirer so as to establish a market clearing model capable of transferring demand response load;
the second information acquirer is used for acquiring basic bidding information reported by the LO load user;
the second information processor is used for receiving the information data transmitted by the second information acquirer and establishing a market clearing model capable of translating the demand response load;
the third information processor is used for receiving the information data transmitted by the first information processor and the second information processor, integrating the information data into the energy market in the day-ahead, and establishing a bidding result including a transfer type load for clearing each main body of the market by taking the minimum total operation cost of the whole network as a target; the state and the load demand of the unit at each time interval are fixed according to the market clearing result, and the clearing price of the energy market in the day before is determined by processing and operation according to the quotation information of the unit;
and the transfer type load user or the power selling company client is used for acquiring the outgoing clear electricity price of the energy market in the day before determined by the third information processor.
6. The system for participation in a spot energy market of a transferred load according to claim 5, wherein the bid information retrieved by said first information retriever comprises:
reporting electric quantity of LS load in transferable time period
Figure FDA0002244687520000041
Transfer earning expected by LS load user or electricity selling company
Figure FDA0002244687520000042
Transfer period and recovery period acceptable to LS load user or electricity selling company
Figure FDA0002244687520000043
7. The system for migrating loads to participate in a spot energy market according to claim 6, wherein the market clearing model for transferable demand-responsive loads created by the first information processor comprises:
transfer power of LS load:
Figure FDA0002244687520000044
in the formula (I), the compound is shown in the specification,
Figure FDA0002244687520000045
Figure FDA0002244687520000046
a variable of 0-1, identifying whether the LS load is transferred; k is a network node number; LS is the LS load entity number of the node; m is the number of stages for transferring load bidding, and a user can select segmented transfer according to actual conditions;
Figure FDA0002244687520000047
for the transferred electrical quantity of the LS load,
Figure FDA0002244687520000048
the admission capacity of the energy market in the day before or above is required for the minimum transferred electric quantity;
recovery power of LS load:
Figure FDA0002244687520000049
in the formula, αls,kIs the recovery coefficient of the load;
cost of transfer of LS load:
Figure FDA0002244687520000051
the constraints of the market clearing model for transferable demand response loads include:
time period during which load can be transferred
Figure FDA0002244687520000052
And (3) constraint:
Figure FDA0002244687520000053
minimum duration transfer time
Figure FDA0002244687520000054
And (3) constraint:
Figure FDA0002244687520000055
maximum duration transfer time
Figure FDA0002244687520000056
And (3) constraint:
Figure FDA0002244687520000057
time between transfers
Figure FDA0002244687520000058
And (3) constraint:
Figure FDA0002244687520000059
recoverable time period
Figure FDA00022446875200000510
And (3) constraint:
Figure FDA00022446875200000511
wherein the content of the first and second substances,
Figure FDA00022446875200000512
to restore the state flag volume.
8. The system for participation in a spot energy market of a transferred load according to claim 5, wherein the bid information retrieved by said second information retriever comprises:
reported electric quantity of LO load in next day
Figure FDA00022446875200000513
In the formula, t*Is the translation load start period submitted by the LO load entity, and
Figure FDA00022446875200000514
desired translational gain by LO load users or by electricity vendors
Figure FDA00022446875200000515
Translation and recovery periods acceptable to LO load users or electricity vendors
Figure FDA00022446875200000516
9. The system for shifting load participation in a spot energy market of claim 8, wherein the market clearing model of translatable demand responsive loads established by the second information processor comprises:
translation power of LO load:
Figure FDA00022446875200000517
in the formula (I), the compound is shown in the specification,
Figure FDA00022446875200000518
the amount is marked for translation; m is the number of the time-span periods of the translational load, and
Figure FDA00022446875200000519
NQlois the maximum number of time-span segments;
Figure FDA00022446875200000520
the load quantity of the original time span is a parameter array to be input;
raw load demand of LO load:
Figure FDA0002244687520000061
in which the LO load is translated successfully, i.e. when it is
Figure FDA0002244687520000062
The original load is 0; otherwise, the original load is unchanged;
translation cost of LO load:
Figure FDA0002244687520000063
the market clearing model constraints for translatable demand response loads include:
load translatable times constraint:
Figure FDA0002244687520000064
load translatable time constraints:
Figure FDA0002244687520000065
10. the system for shifting-type load participation in a spot energy market of claim 5, wherein said third information processor establishes a net-wide total operational cost that is minimized with a goal of:
Figure FDA0002244687520000066
wherein the content of the first and second substances,
Figure FDA0002244687520000067
Figure FDA0002244687520000068
Figure FDA0002244687520000069
Figure FDA00022446875200000610
Figure FDA00022446875200000611
Figure FDA00022446875200000612
in the formula, Ci,t(Pi,t)、SUi,tAnd SDi,tRespectively the running cost and the starting and stopping cost of the unit; IC (integrated circuit)tFor LS/LO load transfer cost αi,tMarking the starting and stopping state of the unit i in a time period t as a variable of 0-1;
Figure FDA00022446875200000613
and
Figure FDA00022446875200000614
representing the no-load running cost and the start-stop cost of the unit i; pi minThe minimum economic output lower limit of the unit i is set; m is the unit sectional price reporting number of the energy market in the day ahead;
Figure FDA00022446875200000615
and (4) reporting the upper limit of the output of each section for the unit i.
CN201911012732.1A 2019-10-23 2019-10-23 Method and system for participating in spot energy market by transfer type load Pending CN111027798A (en)

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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111882111A (en) * 2020-06-30 2020-11-03 华南理工大学 Power spot market clearing method based on source-grid load-storage cooperative interaction
CN112258210A (en) * 2020-09-07 2021-01-22 中国电力科学研究院有限公司 Market clearing method, device, equipment and medium under market one-side quotation
CN113032995A (en) * 2021-03-23 2021-06-25 山东大学 Electric power market simulation optimization and operation method, system and simulation platform

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111882111A (en) * 2020-06-30 2020-11-03 华南理工大学 Power spot market clearing method based on source-grid load-storage cooperative interaction
CN111882111B (en) * 2020-06-30 2022-07-26 华南理工大学 Power spot market clearing method based on source network load storage cooperative interaction
CN112258210A (en) * 2020-09-07 2021-01-22 中国电力科学研究院有限公司 Market clearing method, device, equipment and medium under market one-side quotation
CN113032995A (en) * 2021-03-23 2021-06-25 山东大学 Electric power market simulation optimization and operation method, system and simulation platform
CN113032995B (en) * 2021-03-23 2022-04-19 山东大学 Electric power market simulation optimization and operation method, system and simulation platform

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