CN113421128A - Unbalance analysis method in electric power spot market environment based on electric power big data analysis technology - Google Patents

Unbalance analysis method in electric power spot market environment based on electric power big data analysis technology Download PDF

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CN113421128A
CN113421128A CN202110791207.5A CN202110791207A CN113421128A CN 113421128 A CN113421128 A CN 113421128A CN 202110791207 A CN202110791207 A CN 202110791207A CN 113421128 A CN113421128 A CN 113421128A
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杨娜
刘亚南
朱刘柱
王宝
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Economic and Technological Research Institute of State Grid Anhui Electric Power Co Ltd
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Abstract

The invention relates to an unbalance analysis method in an electric power spot market environment based on an electric power big data analysis technology, and compared with the prior art, the unbalance analysis method overcomes the defect that the unbalance in the electric power spot market environment is difficult to analyze. The invention comprises the following steps: acquiring basic data of the power market; calculating the cost data of the power generation side and the power utilization side; rewriting the cost data of the power generation side and the power utilization side; and analyzing the unbalanced funds of the electric power spot settlement. After the electric quantity structure data of the basic calculation time period is automatically acquired by utilizing a big data analysis technology, aiming at the problems that the unbalanced fund calculation methods are different under various unbalanced items and different settlement mechanisms and coupling exists among different fund items, the invention provides a universal unbalanced analysis calculation method, which ensures the calculation correctness, is not heavy and leak and also ensures the universality of the method.

Description

Unbalance analysis method in electric power spot market environment based on electric power big data analysis technology
Technical Field
The invention relates to the technical field of electric power big data analysis, in particular to an unbalance analysis method in an electric power spot market environment based on an electric power big data analysis technology.
Background
According to the spot market rules of each province, a plurality of unbalanced fund items comprise plan and market double-track unbalanced funds, blocked unbalanced funds under a node electricity price mechanism, unbalanced funds with unbalanced electricity consumption in a unilateral market mode, market main body compensation and assessment cost, error compensation settlement unbalanced funds and the like. On one hand, because the provinces have different rules, the calculation mode and the connotation of unbalanced funds are different, the market main body can have deviation when being understood, which is not beneficial to the construction of regional market and the construction and the popularization of settlement system, and needs to carry out customized design aiming at different provincial market rules; on the other hand, due to the coupling relationship between some unbalanced fund items, such as plan and market double unbalanced fund and blocked unbalanced fund, if the coupling relationship is not combed, the sum of the balanced funds may deviate from the total unbalanced fund.
Therefore, how to combine the electric power big data analysis technology to realize the unbalance analysis in the electric power spot market environment has become an urgent technical problem to be solved.
Disclosure of Invention
The invention aims to solve the defect that the unbalance in the electric power spot market environment is difficult to analyze in the prior art, and provides an unbalance analysis method in the electric power spot market environment based on an electric power big data analysis technology to solve the problem.
In order to achieve the purpose, the technical scheme of the invention is as follows:
an unbalance analysis method in a power spot market environment based on a power big data analysis technology comprises the following steps:
acquiring basic data of the power market: acquiring electric quantity structure data of a power generation side and a power utilization side by taking 15 minutes as a basic calculation time period;
calculating the cost data of the power generation side and the power utilization side: respectively calculating the total cost of the power generation side and the total cost of the power utilization side according to the electric quantity structure data of the two sides of the power utilization and the prices corresponding to different electric quantity components based on the electric power big data analysis technology;
rewriting of power generation side and power consumption side charge data: rewriting the cost data of the power generation side and the power utilization side according to the form of average electricity price based on the deduction principle of unbalanced funds;
analysis of electric power spot settlement unbalanced funds: analyzing and calculating the unbalanced funds of the electric power spot settlement according to the rewritten expense data of the power generation side and the power utilization side based on the electric power big data analysis technology, clearing market trading results daily, and generating temporary daily clearing settlement results; and (4) carrying out market-oriented transaction electric charge settlement according to the month to generate a monthly settlement bill.
The calculation of the power generation side and power utilization side charge data comprises the following steps:
setting the contract electric quantity of the electric power spot market to be 0, and then calculating the total generating cost according to the following formula:
Rhair collecting device＝∑(QNon hair, i×PNon hair, i+QDay ahead, i×PDay ahead, i+QSending in real time, i×PSending in real time, i)，
In the formula: rHair collecting deviceRepresenting the total electric energy charge, Q, of the generating sideNon hair, iIndicating the off-market power production, P, of the unit iNon hair, iIndicating the electricity price of the non-market electricity quantity of the unit i, i.e. the price of the on-line electricity of the post, QDay ahead, iRepresenting the day-ahead deviation of the electric quantity, P, of the unit iDay ahead, iIndicating the day-ahead deviation of electricity price, Q, of the unit iSending in real time, iRepresenting real-time deviation electric quantity, P, of unit iSending in real time, iRepresenting the real-time deviation electricity price of the unit i;
if the unit i does not participate in the spot market, the spot deviation electric quantity is 0;
the calculation formula of the total electricity charge is set as follows:
Rgeneral use＝∑(QNot used, j×PNot used, j+QUsed before the day, j×PUsed before the day, j+QIn real time, j×PIn real time, j)，
In the formula: rGeneral useRepresenting the total electric energy charge of the user side; qNot used, jRepresenting non-market power consumption, P, of user jNot used, jRepresenting the electricity price of the non-market electricity quantity of user j, i.e. the catalog electricity price deducts the purchase and sale price difference obtained by the agency of the non-market electricity application, QUsed before the day, jRepresenting the amount of deviation power before day, P, of user jUsed before the day, jRepresenting a day-ahead deviation electricity price of user j; qIn real time, jRepresenting the real-time offset power, P, of user jIn real time, jRepresenting the real-time deviation electricity price of the user j; if the user j does not participate in the market, the spot deviation electric quantity is 0, and if the user j participates in the market, the non-market electric quantity is 0.
The rewriting of the power generation side and power consumption side fee data comprises the following steps:
the calculation formula of the total power generation cost is set as follows:
Figure BDA0003161006890000031
wherein the content of the first and second substances,
Qnon-hair-end＝∑QNon hair, i，
Figure BDA0003161006890000032
QHair growing before day＝∑QDay ahead, i，
Figure BDA0003161006890000033
QReal-time hair management＝∑QSending in real time, i，
Figure BDA0003161006890000034
In the formula: qNon-hair-endThe total non-market power on the power generation side,
Figure BDA0003161006890000035
the weighted average price of the non-market electricity on the power generation side is obtained; qHair growing before dayThe total day-ahead deviation electric quantity of the power generation side,
Figure BDA0003161006890000036
the weighted average price of the day-ahead deviation electricity quantity at the power generation side is obtained; qReal-time hair managementThe total real-time deviation electric quantity of the power generation side,
Figure BDA0003161006890000037
the weighted average price of the real-time deviation electric quantity of the power generation side is obtained;
the calculation formula of the total electricity charge is set as follows:
Figure BDA0003161006890000038
wherein the content of the first and second substances,
Qnon-utility total＝∑QNot used, j，
Figure BDA0003161006890000039
QDay-ahead use assembly＝∑QUsed before the day, j，
Figure BDA00031610068900000310
QReal-time use of total＝∑QIn real time, j，
Figure BDA00031610068900000311
In the formula: qNon-utility totalThe total non-market power on the user side,
Figure BDA00031610068900000312
the weighted average electricity price of the user side non-market electricity quantity is obtained; qDay-ahead use assemblyThe total day-ahead deviation power amount of the user side,
Figure BDA00031610068900000313
the weighted average electricity price of the day-ahead deviation electricity quantity of the user side is obtained; qReal-time use of totalThe total real-time deviation electric quantity of the user side,
Figure BDA00031610068900000314
the weighted average electricity price of the real-time deviation electricity quantity of the user side is obtained;
the rewriting is performed in the form of an average electricity price based on the total electricity generation cost and the total electricity cost calculated as described above.
The analysis of the electric power spot settlement unbalanced fund comprises the following steps:
calculating the total unbalanced funds: and (3) deducting the total power generation side cost from the total power utilization side cost to obtain total unbalanced fund, wherein the total unbalanced fund calculation formula is as follows:
Figure BDA0003161006890000041
deducing the cost of unmatched non-market electricity generation amount, the cost of unmatched non-market electricity generation price, the cost of unmatched market electricity generation amount and the cost of unmatched market electricity generation price by a formula splitting and merging mode, wherein the cost is as follows:
the cost calculation formula of unmatched non-market electricity generation quantity is as follows:
Figure BDA0003161006890000042
the non-market power generation price unmatched fee calculation formula is as follows:
Figure BDA0003161006890000043
the cost calculation formula of unmatched market electricity consumption is as follows:
Figure BDA0003161006890000044
the cost of unmatched market electricity generation and use amount is blocking surplus, and the blocking surplus is divided into day-ahead blocking surplus and real-time blocking surplus;
the formula for calculating the surplus of day-ahead blockage is as follows:
Figure BDA0003161006890000045
the real-time blocking surplus calculation formula is as follows:
Figure BDA0003161006890000046
summing the unbalanced funds to be equal to the total unbalanced funds, and completing settlement analysis of the unbalanced funds of the electric power spot settlement; carrying out market trading result clearing according to the day to generate a temporary daily clearing settlement result; and (4) carrying out market-oriented trade electric charge settlement according to the month to generate a monthly settlement bill.
Advantageous effects
Compared with the prior art, the imbalance analysis method based on the electric power big data analysis technology in the electric power spot market environment has the advantages that after the electric quantity structure data of the basic calculation time period are automatically acquired by the big data analysis technology, aiming at the problems that the imbalance entries are numerous, the imbalance fund calculation methods under different settlement mechanisms are different, and coupling exists among different fund entries, a universal imbalance analysis calculation method is provided, the calculation accuracy is guaranteed, the imbalance is avoided, the universality of the method is further guaranteed, and the actual implementation is facilitated.
It has the following advantages:
1. improving the accuracy of the unbalanced fund calculation: the method and the device calculate the total unbalanced fund by deducting the total power consumption and the total power generation cost, and then obtain each unbalanced fund in a mode of splitting and combining the formulas according to the total unbalanced fund calculation formula, thereby ensuring the accuracy of the calculation of the unbalanced fund and achieving no repeated leakage.
2. The generality of unbalanced fund calculation is improved: the invention starts from the root of unbalanced fund generation, namely, the amount and the price of the two sides of the used electricity are not matched, thereby combing four general types of unbalanced funds, namely, the cost of unmatched non-market electricity consumption, the cost of unmatched non-market electricity price, the cost of unmatched market electricity consumption and the cost of unmatched market electricity price. The four large unbalanced funds can meet the requirements of various provincial markets and facilitate system development.
Drawings
FIG. 1 is a sequence diagram of the method of the present invention.
Detailed Description
So that the manner in which the above recited features of the present invention can be understood and readily understood, a more particular description of the invention, briefly summarized above, may be had by reference to embodiments, some of which are illustrated in the appended drawings, wherein:
the invention utilizes big data analysis technology to grasp the root cause of unbalanced fund generation, namely, the amount and price of the two sides of the used electricity are not matched, and four general unbalanced funds, namely the cost of unmatched non-market electricity consumption, the cost of unmatched market electricity consumption and the cost of unmatched market electricity consumption are combed by a formula splitting and merging mode. The cost of unmatched non-market electricity is known as fluctuating unbalanced fund; the cost of non-market electricity price mismatch is known as the structural imbalance fund; the unmatched cost of the market delivery electric quantity is mainly caused by the fact that the cost generated by a unilateral market, namely the mismatch of the spot settlement electric quantity of the power generation side and the spot settlement electric quantity of the user side; the cost of unmatched market power generation price, namely the blocking surplus, is divided into day-ahead blocking surplus and real-time blocking surplus.
As shown in fig. 1, the imbalance analysis method in the electric power spot market environment based on the electric power big data analysis technology according to the present invention includes the following steps:
step one, acquiring basic data of the power market: the electric power spot market adopts a settlement mode of day, clear and month settlement, takes 15 minutes as a basic calculation time period, and acquires electric quantity structure data of a power generation side and a power utilization side.
And secondly, calculating the charge data of the power generation side and the power utilization side: and respectively calculating the total cost of the power generation side and the total cost of the power utilization side according to the electric quantity structure data of the two power generation sides and the prices corresponding to different electric quantity components.
The specific steps of calculating the fee data of the power generation side and the power utilization side are as follows:
(1) under the plan and market double track system, in the electric power spot market, the power generation side power structure comprises a plan power generation part, a day-ahead deviation part and a real-time deviation part (since the market contract power on both sides of the delivery is matched and the price is also matched, the market contract power is not considered here, namely the market contract power is assumed to be 0).
Setting the contract electric quantity of the electric power spot market to be 0, and then calculating the total generating cost according to the following formula:
Rhair collecting device＝∑(QNon hair, i×PNon hair, i+QDay ahead, i×PDay ahead, i+QSending in real time, i×PSending in real time, i)，
In the formula: rHair collecting deviceRepresenting the total electric energy charge, Q, of the generating sideNon hair, iIndicating the off-market power production, P, of the unit iNon hair, iIndicating the electricity price of the non-market electricity quantity of the unit i, i.e. the price of the on-line electricity of the post, QDay ahead, iRepresenting the day-ahead deviation of the electric quantity, P, of the unit iDay ahead, iIndicating the day-ahead deviation of electricity price, Q, of the unit iSending in real time, iRepresenting real-time deviation electric quantity, P, of unit iSending in real time, iRepresenting the real-time deviation electricity price of the unit i;
if the unit i does not participate in the spot market, the spot deviation electric quantity is 0.
(2) The calculation formula of the total electricity charge is set as follows:
Rgeneral use＝∑(QNot used, j×PNot used, j+QUsed before the day, j×PUsed before the day, j+QIn real time, j×PIn real time, j)，
In the formula: rGeneral useRepresenting a userSide total electric energy and electricity charge; qNot used, jRepresenting non-market power consumption, P, of user jNot used, jRepresenting the electricity price of the non-market electricity quantity of user j, i.e. the catalog electricity price deducts the purchase and sale price difference obtained by the agency of the non-market electricity application, QUsed before the day, jRepresenting the amount of deviation power before day, P, of user jUsed before the day, jRepresenting a day-ahead deviation electricity price of user j; qIn real time, jRepresenting the real-time offset power, P, of user jIn real time, jRepresenting the real-time deviation electricity price of the user j; if the user j does not participate in the market, the spot deviation electric quantity is 0, and if the user j participates in the market, the non-market electric quantity is 0.
And thirdly, rewriting the cost data of the power generation side and the power utilization side. In order to facilitate the subsequent subentry derivation of the calculation formula of the unbalanced fund, the charge data of the power generation side and the power utilization side are rewritten in the form of average power price based on the derivation principle of the unbalanced fund (namely, the total power generation cost and the total power utilization cost calculated in the foregoing manner).
The rewriting of the power generation side and power consumption side fee data comprises the following steps:
(1) the calculation formula of the total power generation cost is set as follows:
Figure BDA0003161006890000071
wherein the content of the first and second substances,
Qnon-hair-end＝∑QNon hair, i，
Figure BDA0003161006890000072
QHair growing before day＝∑QDay ahead, i，
Figure BDA0003161006890000073
QReal-time hair management＝∑QSending in real time, i，
Figure BDA0003161006890000074
In the formula: qNon-hair-endThe total non-market power on the power generation side,
Figure BDA0003161006890000075
the weighted average price of the non-market electricity on the power generation side is obtained; qHair growing before dayThe total day-ahead deviation electric quantity of the power generation side,
Figure BDA0003161006890000076
the weighted average price of the day-ahead deviation electricity quantity at the power generation side is obtained; qReal-time hair managementThe total real-time deviation electric quantity of the power generation side,
Figure BDA0003161006890000077
and the power generation side real-time deviation electric quantity weighted average power price is obtained.
(2) The calculation formula of the total electricity charge is set as follows:
Figure BDA0003161006890000078
wherein the content of the first and second substances,
Qnon-utility total＝∑QNot used, j，
Figure BDA0003161006890000079
QDay-ahead use assembly＝∑QUsed before the day, j，
Figure BDA00031610068900000710
QReal-time use of total＝∑QIn real time, j，
Figure BDA0003161006890000081
In the formula: qNon-utility totalThe total non-market power on the user side,
Figure BDA0003161006890000082
the weighted average electricity price of the user side non-market electricity quantity is obtained; qDay-ahead use assemblyThe total day-ahead deviation power amount of the user side,
Figure BDA0003161006890000083
the weighted average electricity price of the day-ahead deviation electricity quantity of the user side is obtained; qReal-time use of totalThe total real-time deviation electric quantity of the user side,
Figure BDA0003161006890000084
and the weighted average electricity price of the real-time deviation electricity quantity at the user side is obtained.
(3) Rewriting is performed in the form of an average electricity price based on the total electricity generation cost and the total electricity cost calculated as described above.
Fourthly, analyzing unbalanced funds of electric power spot settlement: analyzing and calculating the unbalanced funds of the electric power spot settlement according to the rewritten expense data of the power generation side and the power utilization side based on the electric power big data analysis technology, clearing market trading results daily, and generating temporary daily clearing settlement results; and (4) carrying out market transaction electric charge settlement according to the month to generate a monthly settlement bill.
The analysis of the electric power spot settlement unbalanced funds comprises the following steps:
(1) calculating the total unbalanced funds: and (3) deducting the total power generation side cost from the total power utilization side cost to obtain total unbalanced funds, wherein the total unbalanced funds calculation formula is as follows:
Figure BDA0003161006890000085
(2) deducing the cost of unmatched non-market electricity generation amount, the cost of unmatched non-market electricity generation price, the cost of unmatched market electricity generation amount and the cost of unmatched market electricity generation price in a formula splitting and merging mode, wherein the cost is as follows:
the cost calculation formula of unmatched non-market electricity generation quantity is as follows:
Figure BDA0003161006890000086
the non-market power generation price unmatched fee calculation formula is as follows:
Figure BDA0003161006890000087
the cost calculation formula of unmatched market electricity consumption is as follows:
Figure BDA0003161006890000088
the cost of unmatched market electricity generation and use amount is blocking surplus, and the blocking surplus is divided into day-ahead blocking surplus and real-time blocking surplus;
the formula for calculating the surplus of day-ahead blockage is as follows:
Figure BDA0003161006890000091
the real-time blocking surplus calculation formula is as follows:
Figure BDA0003161006890000092
and summing the unbalanced funds to be equal to the total unbalanced funds, and finishing settlement analysis of the unbalanced funds of the electric power spot settlement. Meanwhile, according to the requirement, market trading result clearing is carried out on a daily basis, and a daily clearing temporary settlement result is generated; and (4) carrying out market-oriented trade electric charge settlement according to the month to generate a monthly settlement bill.
The foregoing shows and describes the general principles, essential features, and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are merely illustrative of the principles of the invention, but that various changes and modifications may be made without departing from the spirit and scope of the invention, which fall within the scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.

Claims (4)

1. An imbalance analysis method in a power spot market environment based on a power big data analysis technology is characterized by comprising the following steps:
11) acquiring basic data of the power market: acquiring electric quantity structure data of a power generation side and a power utilization side by taking 15 minutes as a basic calculation time period;
12) calculating the cost data of the power generation side and the power utilization side: respectively calculating the total cost of the power generation side and the total cost of the power utilization side according to the electric quantity structure data of the two sides of the power generation and the prices corresponding to different electric quantity components based on the electric power big data analysis technology;
13) rewriting of power generation side and power consumption side charge data: rewriting the cost data of the power generation side and the power utilization side according to the form of average electricity price based on the deduction principle of unbalanced funds;
14) analysis of electric power spot settlement unbalanced funds: analyzing and calculating the unbalanced funds of the electric power spot settlement according to the rewritten expense data of the power generation side and the power utilization side based on the electric power big data analysis technology, clearing market trading results daily, and generating temporary daily clearing settlement results; and (4) carrying out market-oriented trade electric charge settlement according to the month to generate a monthly settlement bill.
2. The method for analyzing the imbalance of the power spot market environment based on the power big data analysis technology as claimed in claim 1, wherein the calculation of the charge data of the power generation side and the power utilization side comprises the following steps:
21) setting the contract electric quantity of the electric power spot market to be 0, and then calculating the total generating cost according to the following formula:
Rhair collecting device＝∑(QNon hair, i×PNon hair, i+QDay ahead, i×PDay ahead, i+QSending in real time, i×PSending in real time, i)，
In the formula: rHair collecting deviceRepresenting the total electric energy charge, Q, of the generating sideNon hair, iIndicating the off-market power production, P, of the unit iNon hair, iIndicating the electricity price of the non-market electricity quantity of the unit i, i.e. the price of the on-line electricity of the post, QDay ahead, iRepresenting the day-ahead deviation of the electric quantity, P, of the unit iDay ahead, iIndicating the day-ahead deviation of electricity price, Q, of the unit iSending in real time, iRepresenting real-time deviation electric quantity, P, of unit iSending in real time, iRepresenting the real-time deviation electricity price of the unit i;
if the unit i does not participate in the spot market, the spot deviation electric quantity is 0;
22) the calculation formula of the total electricity charge is set as follows:
Rgeneral use＝∑(QNot used, j×PNot used, j+QUsed before the day, j×PUsed before the day, j+QIn real time, j×PIn real time, j)，
In the formula: rGeneral useRepresenting the total electric energy charge of the user side; qNot used, jRepresenting non-market power consumption, P, of user jNot used, jRepresenting the electricity price of the non-market electricity quantity of user j, i.e. the catalog electricity price deducts the purchase and sale price difference obtained by the agency of the non-market electricity quantity, QUsed before the day, jRepresenting the amount of deviation power before day, P, of user jUsed before the day, jRepresenting a day-ahead deviation electricity price of user j; qIn real time, jRepresenting the real-time offset power, P, of user jIn real time, jRepresenting the real-time deviation electricity price of the user j; if the user j does not participate in the market, the spot deviation electric quantity is 0, and if the user j participates in the market, the non-market electric quantity is 0.
3. The method for analyzing the imbalance in the power spot market environment based on the power big data analysis technology as claimed in claim 1, wherein the rewriting of the cost data of the power generation side and the power utilization side comprises the following steps:
31) the calculation formula of the total power generation cost is set as follows:
Figure FDA0003161006880000021
wherein the content of the first and second substances,
Qnon-hair-end＝∑QNon hair, i，
Figure FDA0003161006880000022
QHair growing before day＝∑QDay ahead, i，
Figure FDA0003161006880000023
QReal-time hair management＝∑QSending in real time, i，
Figure FDA0003161006880000024
In the formula: qNon-hair-endThe total non-market power on the power generation side,
Figure FDA0003161006880000025
the weighted average price of the non-market electricity on the power generation side is obtained; qHair growing before dayThe total day-ahead deviation electric quantity of the power generation side,
Figure FDA0003161006880000026
the average power price is the weighted average power price of the day-ahead deviation power on the power generation side; qReal-time hair managementThe total real-time deviation electric quantity of the power generation side,
Figure FDA0003161006880000027
the weighted average price of the real-time deviation electric quantity of the power generation side is obtained;
32) the calculation formula of the total electricity charge is set as follows:
Figure FDA0003161006880000028
wherein the content of the first and second substances,
Qnon-utility total＝∑QNot used, j，
Figure FDA0003161006880000029
QDay-ahead use assembly＝∑QUsed before the day, j，
Figure FDA00031610068800000210
QReal-time use of total＝∑QIn real time, j，
Figure FDA0003161006880000031
In the formula: qNon-utility totalThe total non-market power on the user side,
Figure FDA0003161006880000032
the weighted average electricity price of the user side non-market electricity quantity is obtained; qDay-ahead use assemblyThe total day-ahead deviation power amount of the user side,
Figure FDA0003161006880000033
the weighted average electricity price of the day-ahead deviation electricity quantity of the user side is obtained; qReal-time use of totalThe total real-time deviation electric quantity of the user side,
Figure FDA0003161006880000034
the weighted average electricity price of the real-time deviation electricity quantity of the user side is obtained;
33) rewriting is performed in the form of an average electricity price based on the total electricity generation cost and the total electricity cost calculated as described above.
4. The method for analyzing imbalance in the electric power spot market environment based on the electric power big data analysis technology according to claim 1, wherein the analysis of the electric power spot settlement imbalance fund comprises the following steps:
41) calculating the total unbalanced funds: and (3) deducting the total power generation side cost from the total power utilization side cost to obtain total unbalanced funds, wherein the total unbalanced funds calculation formula is as follows:
Figure FDA0003161006880000035
42) deducing the cost of unmatched non-market electricity generation amount, the cost of unmatched non-market electricity generation price, the cost of unmatched market electricity generation amount and the cost of unmatched market electricity generation price by a formula splitting and merging mode, wherein the cost is as follows:
the cost calculation formula of unmatched non-market electricity generation quantity is as follows:
Figure FDA0003161006880000036
the non-market power generation price unmatched fee calculation formula is as follows:
Figure FDA0003161006880000037
the cost calculation formula of unmatched market electricity consumption is as follows:
Figure FDA0003161006880000038
the cost of unmatched market electricity generation and use amount is blocking surplus, and the blocking surplus is divided into day-ahead blocking surplus and real-time blocking surplus;
the formula for calculating the surplus of day-ahead blockage is as follows:
Figure FDA0003161006880000041
the real-time blocking surplus calculation formula is as follows:
Figure FDA0003161006880000042
summing the unbalanced funds to be equal to the total unbalanced funds, and completing settlement analysis of the unbalanced funds of the electric power spot settlement; carrying out market trading result clearing according to the day to generate a temporary daily clearing settlement result; and (4) carrying out market-oriented trade electric charge settlement according to the month to generate a monthly settlement bill.
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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114298795A (en) * 2021-12-31 2022-04-08 贵州电力交易中心有限责任公司 Power transaction settlement and clearing system and method for power generation enterprise
CN117236906A (en) * 2023-11-14 2023-12-15 国网安徽省电力有限公司经济技术研究院 Carbon reduction cost analysis method suitable for collaborative development of electricity-carbon market

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106529990A (en) * 2016-10-13 2017-03-22 中国电力科学研究院 Deviation electric quantity settlement method
CN108492148A (en) * 2018-04-08 2018-09-04 南方电网科学研究院有限责任公司 A kind of energy market balance electricity price settlement method and device
CN109934713A (en) * 2019-03-11 2019-06-25 昆明电力交易中心有限责任公司 A kind of wholesale power market settlement method
CN111242804A (en) * 2020-01-07 2020-06-05 中国南方电网有限责任公司 Cross-regional power transaction deviation settlement method, system and device in spot-shipment environment
CN111861543A (en) * 2020-06-18 2020-10-30 安徽电力交易中心有限公司 Method and device for calculating and allocating double-track unbalance expense of plan and market

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106529990A (en) * 2016-10-13 2017-03-22 中国电力科学研究院 Deviation electric quantity settlement method
CN108492148A (en) * 2018-04-08 2018-09-04 南方电网科学研究院有限责任公司 A kind of energy market balance electricity price settlement method and device
CN109934713A (en) * 2019-03-11 2019-06-25 昆明电力交易中心有限责任公司 A kind of wholesale power market settlement method
CN111242804A (en) * 2020-01-07 2020-06-05 中国南方电网有限责任公司 Cross-regional power transaction deviation settlement method, system and device in spot-shipment environment
CN111861543A (en) * 2020-06-18 2020-10-30 安徽电力交易中心有限公司 Method and device for calculating and allocating double-track unbalance expense of plan and market

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114298795A (en) * 2021-12-31 2022-04-08 贵州电力交易中心有限责任公司 Power transaction settlement and clearing system and method for power generation enterprise
CN114298795B (en) * 2021-12-31 2023-12-08 贵州电力交易中心有限责任公司 Power transaction settlement and clearing system and method for power generation enterprises
CN117236906A (en) * 2023-11-14 2023-12-15 国网安徽省电力有限公司经济技术研究院 Carbon reduction cost analysis method suitable for collaborative development of electricity-carbon market
CN117236906B (en) * 2023-11-14 2024-02-02 国网安徽省电力有限公司经济技术研究院 Carbon reduction cost analysis method suitable for collaborative development of electricity-carbon market

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