CN113240463A - Power market trading index system construction and calculation method for power generation enterprise - Google Patents

Power market trading index system construction and calculation method for power generation enterprise Download PDF

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CN113240463A
CN113240463A CN202110507819.7A CN202110507819A CN113240463A CN 113240463 A CN113240463 A CN 113240463A CN 202110507819 A CN202110507819 A CN 202110507819A CN 113240463 A CN113240463 A CN 113240463A
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吴巧玲
周保中
张山山
赵岩
张继广
周楠
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Huadian Electric Power Research Institute Co Ltd
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Abstract

The invention discloses a method for constructing and calculating a power market trading index system of a power generation enterprise, which belongs to the field of power markets, and the power market trading index system of the power generation enterprise is constructed by combining the actual situation of the power generation enterprise in power market trading and calculating four aspects of a power trading price index, a market activity index, a settlement aging index and a market benefit index, so that on one hand, data of each time period can be dynamically tracked in real time, the advantages and the disadvantages of the power generation enterprise in market trading are found, the advantages and the disadvantages of the power generation enterprise are made up, and the power generation enterprise is promoted to improve the competitiveness; on the other hand, on the group level, the market trading activities of each region can be monitored and analyzed, the region vertical benchmarking and ranking can be carried out according to the index data of each region, and the competitive power change condition of regional companies in each time period can be transversely found.

Description

Power market trading index system construction and calculation method for power generation enterprise
Technical Field
The invention relates to the field of power markets, in particular to a method for constructing and calculating a power market trading index system of a power generation enterprise.
Background
At present, aiming at electric power market trading activities, a Beijing electric power trading center selects an electric power market comprehensive index to reflect market changes, a Guizhou electric power trading center also adopts an electric power trading index system to find electric power market trading values and further improve the electric power trading level, and power generation enterprises do not establish the electric power market trading index system of the power generation enterprises from the self-perspective, cannot analyze the electric power market trading activities of the power generation enterprises, cannot discover the potential in the electric power market trading, cannot adjust the strategy in the market trading at any time, and cannot effectively form the self-competitiveness of the enterprises.
Disclosure of Invention
The invention aims to overcome the defects in the prior art and provides a method for constructing and calculating a power market trading index system of a power generation enterprise.
The technical scheme adopted by the invention for solving the problems is as follows: a method for constructing and calculating a power market trading index system of a power generation enterprise is characterized by comprising the following steps:
1) construction of power market trading index system of power generation enterprise
The index idea is used as a guide, four aspects of electric power trading price, market activity, settlement timeliness and market benefit are comprehensively considered, and an electric power market trading index system of a power generation enterprise is established. According to different electricity generation types of the trading electric quantity, the index system can be divided into a thermal power trading index system, a hydroelectric trading index system, a wind power trading index system, a photovoltaic trading index system and the like; the index system can be divided into a direct trading index system, a trans-provincial trading index system and a power generation right trading index system according to the market trading type.
2) Calculation method of power market trading index system of power generation enterprise
2.1, electric Power trade price index
The power trading price index reflects the price level of power generation enterprises in power market trading, is obtained by carrying out weighted average according to market trading prices of different power generation types of each province, and is a rolling index which most importantly reflects the power price condition of market trading. The calculation formula of the price index of the power transaction is as follows:
Figure BDA0003059118730000021
in the formula: pxRepresenting the x-th reporting period price index, qijRepresents the ith province of the report period, the jth generation type transaction electric quantity pijIndicating the transaction electricity quantity and the electricity price of the j generation type in the ith provincial region of the report period,
Figure BDA0003059118730000022
the power price of the j power generation type trading electric quantity of the ith province of the base period is represented.
2.2 market liveness index
The market activity index reflects the enthusiasm and initiative of power generation enterprises in participating in transactions in the power market, and also laterally reflects the competitive power of the power generation enterprises in market transactions, and is related to the electric quantity participating in the market transactions and the number of transaction subjects in the power market. The market activity index calculation formula is as follows:
Figure BDA0003059118730000023
in the formula: hxDenotes the x-th report period market liveness index, qiIndicating the market trading power of the ith provincial power generation enterprise in the report period,
Figure BDA0003059118730000024
representing the market trading power of the ith provincial power generation enterprise in the base period, biEnterprise indicating that ith province of report period participates in market tradingThe number of businesses in the group of businesses,
Figure BDA0003059118730000025
represents the number of enterprises, Q, participating in market trading in the ith province of the base periodiIndicating the total amount of electricity traded in the ith provincial market during the reporting period,
Figure BDA0003059118730000026
representing the total amount of electricity traded by the ith provincial market in the base period.
2.3, settling aging index
The settlement timeliness index is used for reflecting timeliness of power generation enterprises participating in market trading settlement, and directly influences fund flows of the enterprises, so that the settlement timeliness index is also an important competitive index for the power generation enterprises and power selling companies. The calculation formula of the settlement aging index is as follows:
Figure BDA0003059118730000027
in the formula: t isxShowing the settlement aging index of the x-th report period, theta showing the actual trading electricity amount day-to-settlement day-to-time of the report period, qijRepresents the total transaction amount of electricity of the jth electricity generation type of the ith provincial region in the report period,
Figure BDA0003059118730000031
representing the actual trading electricity amount date and settlement date and time of the base period,
Figure BDA0003059118730000032
and the total transaction electric quantity of the j generation type of the ith provincial region of the base period is represented.
2.4 market benefit index
The market benefit index reflects the benefit condition obtained by power generation enterprises participating in the power market, and is obtained by calculation according to marginal contribution, market transaction electric quantity and installation condition, and the market benefit index calculation formula is as follows:
Figure BDA0003059118730000033
in the formula: i isxDenotes the x-th reported period market benefit index, qijRepresents the ith province and jth generation type transaction electric quantity in the report period, wijRepresents the power generation margin contribution of the jth power generation type of the ith provincial region in the report period, eijIndicating the installed capacity of the jth power generation type in the ith provincial region of the report period,
Figure BDA0003059118730000034
indicating the ith provincial region and jth generation type transaction amount of electricity during the report period,
Figure BDA0003059118730000035
indicating the power generation margin contribution of the jth power generation type of the ith provincial region during the reporting period,
Figure BDA0003059118730000036
indicating the installed capacity of the jth power generation type in the ith provincial region of the report period.
Compared with the prior art, the invention has the following advantages and effects:
according to the invention, through calculating the four aspects of the power trading price index, the market activity index, the settlement aging index and the market benefit index, a power market trading index system of a power generation enterprise is constructed, on one hand, data of each month can be dynamically tracked in real time, advantages and deficiencies of the power generation enterprise in market trading are found, advantages and deficiencies are made up, and the power generation enterprise is promoted to improve competitiveness; on the other hand, on the group level, the market trading activities of each region can be monitored and analyzed, the region vertical benchmarking and ranking can be carried out according to the index data of each region, and the competitive power change condition of regional companies in each time period can be transversely found.
Drawings
FIG. 1 is a schematic diagram of a power market trading index system framework for a power generation enterprise according to the present invention.
Fig. 2 is a graph of the change trend of each index of the power market trade of the power generation enterprises of the regional company in 1-8 months in 2020.
Detailed Description
The present invention will be described in further detail below by way of examples with reference to the accompanying drawings, which are illustrative of the present invention and are not to be construed as limiting the present invention.
Examples are given.
In this embodiment, a method for constructing and calculating a power market trading index system of a power generation enterprise is described, in which a regional company of a certain power generation group is taken as an example, 1 month in 2020 is taken as a base date, base date data is set to 1000, a power trading price index, a market activity index, a settlement aging index and a market benefit index of the regional company in 1 to 8 months in 2020 are calculated and analyzed, and a power market trading index system of the regional company is constructed. The electricity generation enterprise electricity market trading indexes of the regional company in 1-8 months in 2020 are shown in table 1, and the change trend of each index of the electricity generation enterprise electricity market trading of the regional company in 1-8 months in 2020 is shown in fig. 2.
TABLE 1
Month of the year Price index for electric power trade Market liveness index Settlement aging index Market benefit index
1 month 1000 1000 1000.00 1000.00
2 month 1020.76 947.86 1015.91 779.59
3 month 975.05 1570.77 912.78 794.98
4 month 984.14 764.63 854.09 1042.34
Month 5 997.98 498.39 898.52 1242.27
6 month 1034.48 1249.64 845.31 1266.37
7 month 1025.03 972.58 813.49 1335.79
8 month 1018.28 1374.15 798.13 1383.67
The power generation enterprise electric power market trading index system of the regional company is combined for analysis and research, and the related results are as follows:
1. the change range of the price index of the power trading is not large because the medium-term and long-term electric quantity accounts for a high ratio in the current electric quantity settled in each month, the medium-term and long-term trading price is stable, the spot market continuously tries to run from 7 months, and the electric quantity accounts for a small ratio, so that the influence of the part of electric quantity on the total electric price is small.
2. The market activity index has large variation range because the index considers the proportion of the regional company participating in market electric quantity and the quantity of the main trading bodies, and the market activity index in 3 months is high because the proportion of the regional company participating in the market electric quantity in 3 months is high and the market enthusiasm is high.
3. The change range of the settlement aging index is not large, the actual transaction electric quantity and the actual settlement time of the power generation enterprises are reflected, the settlement is carried out according to each natural month according to the current market rules, the transaction center gives a calculation sheet, and the power grid enterprises carry out unified settlement payment.
4. The market benefit index is measured according to the trading power and the marginal contribution of various power generation types, and the market benefit index is reduced in the months 2 and 3 because the trading power is also reduced in the two months.
Those not described in detail in this specification are well within the skill of the art.
Although the present invention has been described with reference to the above embodiments, it should be understood that the scope of the present invention is not limited thereto, and that various changes and modifications can be made by those skilled in the art without departing from the spirit and scope of the present invention.

Claims (1)

1. A method for constructing and calculating a power market trading index system of a power generation enterprise is characterized by comprising the following steps:
1) construction of power market trading index system of power generation enterprise
Taking the idea of the index as a guide, comprehensively considering four aspects of electric power trading price, market activity, settlement timeliness and market benefits, and establishing an electric power market trading index system of a power generation enterprise; according to different electricity generation types of the trading electric quantity, the index system is divided into a thermal power trading index system, a hydroelectric trading index system, a wind power trading index system and a photovoltaic trading index system; dividing the index system into a direct trading index system, a trans-provincial trading index system and a power generation right trading index system according to market trading types;
2) calculation method of power market trading index system of power generation enterprise
2.1, electric Power trade price index
The power trading price index reflects the price level of a power generation enterprise in power market trading, is obtained by carrying out weighted average according to market trading prices of different power generation types of each province, and is a rolling index which most importantly reflects the power price condition of market trading; the calculation formula of the price index of the power transaction is as follows:
Figure FDA0003059118720000011
in the formula: pxRepresenting the x-th reporting period price index, qijRepresents the ith province of the report period, the jth generation type transaction electric quantity pijIndicating the transaction electricity quantity and the electricity price of the j generation type in the ith provincial region of the report period,
Figure FDA0003059118720000012
representing the electricity price of the jth generation type trading electricity quantity of the ith province of the base period;
2.2 market liveness index
The market activity index reflects the enthusiasm and initiative of the power generation enterprises in participating in the trade in the power market, and also laterally reflects the competitive power of the power generation enterprises in the market trade, and is related to the electric quantity participating in the market trade and the number of trading subjects in the power market; the market activity index calculation formula is as follows:
Figure FDA0003059118720000013
in the formula: hxDenotes the x-th report period market liveness index, qiIndicating the market trading power of the ith provincial power generation enterprise in the report period,
Figure FDA0003059118720000014
representing the market trading power of the ith provincial power generation enterprise in the base period, biIndicating the number of businesses participating in the market transaction for the ith province during the reporting period,
Figure FDA0003059118720000021
represents the number of enterprises, Q, participating in market trading in the ith province of the base periodiIndicating the total amount of electricity traded in the ith provincial market during the reporting period,
Figure FDA0003059118720000022
representing the total electric quantity of the ith provincial market transaction in the base period;
2.3, settling aging index
The settlement timeliness index reflects the timeliness of power generation enterprises participating in market trading settlement, directly influences the fund flow of the enterprises, and is also an important competitive index for the power generation enterprises and the power selling companies; the calculation formula of the settlement aging index is as follows:
Figure FDA0003059118720000023
in the formula: t isxShowing the settlement aging index of the x-th report period, theta showing the actual trading electricity amount day-to-settlement day-to-time of the report period, qijRepresents the total transaction amount of electricity of the jth electricity generation type of the ith provincial region in the report period,
Figure FDA0003059118720000024
representing the actual trading electricity amount date and settlement date and time of the base period,
Figure FDA0003059118720000025
representing the total transaction electric quantity of the jth generation type of the ith province of the base period;
2.4 market benefit index
The market benefit index reflects the benefit condition obtained by power generation enterprises participating in the power market, and is obtained by calculation according to the marginal contribution, the market trading electric quantity and the installation condition, and the market benefit index calculation formula is as follows:
Figure FDA0003059118720000026
in the formula: i isxDenotes the x-th reported period market benefit index, qijRepresents the ith province and jth generation type transaction electric quantity in the report period, wijRepresents the power generation margin contribution of the jth power generation type of the ith provincial region in the report period, eijIndicating the installed capacity of the jth power generation type in the ith provincial region of the report period,
Figure FDA0003059118720000027
indicating the ith provincial region and jth generation type transaction amount of electricity during the report period,
Figure FDA0003059118720000028
indicating the power generation margin contribution of the jth power generation type of the ith provincial region during the reporting period,
Figure FDA0003059118720000029
indicating the installed capacity of the jth power generation type in the ith provincial region of the report period.
CN202110507819.7A 2021-05-10 2021-05-10 Power market trading index system construction and calculation method for power generation enterprise Pending CN113240463A (en)

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Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110298555A (en) * 2019-06-05 2019-10-01 华北电力大学 It is a kind of to reduce the power spot market price index calculation method of weight partially accidentally
CN111523772A (en) * 2020-04-01 2020-08-11 国网浙江省电力有限公司 Construction method of evaluation index system based on electric power spot market transaction

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110298555A (en) * 2019-06-05 2019-10-01 华北电力大学 It is a kind of to reduce the power spot market price index calculation method of weight partially accidentally
CN111523772A (en) * 2020-04-01 2020-08-11 国网浙江省电力有限公司 Construction method of evaluation index system based on electric power spot market transaction

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Application publication date: 20210810