CN111047369B - Electric power spot market monitoring analysis device and system - Google Patents
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Abstract
The application discloses electric power spot market monitoring analytical equipment includes: the system comprises a data acquisition module, a main body information analysis module, a declaration data analysis module, a boundary condition analysis module, an operation condition analysis module, a main body behavior analysis module and a clear result analysis module; the data acquisition module is used for acquiring data of the whole market operation process, processing the data through the six analysis modules respectively, and obtaining architecture conditions of the electric power spot market, quotation extremum and distribution conditions of various main bodies of the market, extremum and total quantity of boundary condition data of various types of the market, manual intervention conditions of market operation mechanisms on the market, behavior conditions of the main bodies of the market and clear section trend conditions of the market, clear electricity price and market structure, so that the technical problem that the prior art does not fully utilize mass data of the market operation and the operation condition of the electric power spot market is reflected from multiple layers is solved.
Description
Technical Field
The application relates to the technical field of power system dispatching automation, in particular to a power spot market monitoring and analyzing device and system.
Background
As the power spot market continues to develop, the power market regulatory system continues to improve with the development of the market, wherein market monitoring analysis is an extremely important ring. The electric power market monitoring analysis is beneficial to the spot market operation manager to know the market operation condition, and provides technical support for operation decision and market rule revision of the market.
Over time, the spot market will produce more and more various market operational big data, the massive data will cause bottlenecks in data storage and access, and the value of big data is not effectively utilized. How to fully utilize mass data of market operation reflects the running conditions of the current market and the power grid from multiple layers becomes a technical difficulty in power market construction.
Disclosure of Invention
In view of this, the application provides an electric power spot market monitoring analysis device, has solved at present and has not had a technique to make full use of the mass data of market operation yet, reflects the technical problem of the running situation of electric power spot market from a plurality of layers.
The application provides an electric power spot market monitoring analytical equipment, include: the system comprises a data acquisition module, a main body information analysis module, a declaration data analysis module, a boundary condition analysis module, an operation condition analysis module, a main body behavior analysis module and a clear result analysis module;
the data acquisition module is used for acquiring market subject information data, market declaration data, market boundary condition data, market operation condition data, market subject behavior data and market clearing result data;
the main body information analysis module is connected with the first end of the data acquisition module and is used for analyzing and calculating according to the market main body information data so as to obtain the architecture condition of the electric power spot market;
the declaration data analysis module is connected with the first end of the data acquisition module and is used for counting and calculating according to the market declaration data so as to obtain quotation extremum and distribution conditions of various market subjects;
the boundary condition analysis module is connected with the first end of the data acquisition module and is used for counting and calculating according to the market boundary condition data so as to obtain extreme values and total amounts of various market boundary condition data;
the operation condition analysis module is connected with the first end of the data acquisition module and is used for counting according to the market operation condition data so as to obtain the manual intervention condition of a market operation mechanism on the market;
the main body behavior analysis module is connected with the first end of the data acquisition module and is used for calculating the deviation rate of the actual output of the generator set and the spot market clearing result according to the market main body behavior data so as to obtain the behavior condition of the market main body;
the clearing result analysis module is connected with the first end of the data acquisition module and is used for counting and calculating according to the market clearing result data so as to obtain the clearing section tide situation, the clearing electricity price and the market structure of the market.
Optionally, the market subject information data includes a genset capacity and a genset number;
the market declaration data comprises quotation information of a generator set;
the market boundary condition data comprise system load prediction data, tie line power transmission plan data, generator set shutdown plan data and system standby demand data;
the market operation condition data comprise modification record data of the system load prediction data, the bus load prediction data and the generator set shutdown plan data by a market operation manager;
the market subject behavior data comprises execution conditions of a generator set tracking power generation plan;
and the market clearing result data comprise transmission section tide information, the bid price in the generator set and the power generation plan data of the generator set.
Optionally, the main body information analysis module is specifically configured to:
and calculating the number of the generator sets and the total power generation capacity index which participate in the spot market and do not participate in the spot market.
Optionally, the declaration data analysis module is specifically configured to:
counting the highest quotation and the lowest quotation of the generator sets, the number of the generator sets reaching the upper limit of the market declaration price and the number of the generator sets reaching the lower limit of the market declaration price;
calculating the average quotation of the generator set by using an average calculating formula;
calculating the ratio of the number of the generator sets which reach the upper limit of the market declaration price to the number of the generator sets which participate in the market quotation and the ratio of the number of the generator sets which reach the lower limit of the market declaration price to the number of the generator sets which participate in the market quotation by using a duty ratio formula;
the averaging formula is:
wherein,,
for said average offer ∈ ->
Offer for genset i,/->
For reporting the power generation capacity of the generator set i, < >>
The number of the generator sets which participate in market quotation;
the duty ratio formula is:
wherein,,
in order to reach the upper limit unit quantity of the market declaration price and reach the lower limit unit quantity proportion of the market declaration price, N is the declaration price to reach the highest or lowest declaration price of the marketAnd the limited number of the generator sets, M, represents all the generator sets participating in market quotation.
Optionally, the boundary condition analysis module includes: the system comprises a load prediction sub-module, a connecting line sub-module, a shutdown information sub-module and a standby demand sub-module;
the load prediction sub-module is used for counting the system load prediction data, calculating the occurrence time of the maximum load prediction value and the maximum load prediction value, and calculating the occurrence time of the minimum load prediction value and the minimum load prediction value;
the tie line sub-module is used for counting the tie line power transmission plan data and calculating the maximum value and the minimum value of the tie line power transmission plan;
the shutdown information sub-module is used for counting the shutdown plan data of the generator set and calculating the total shutdown amount of the generator set;
and the standby demand sub-module is used for counting the standby demand information of the system and calculating the maximum value and the minimum value of the positive and negative standby demands of the market in the future and the real-time market.
Optionally, the operation condition analysis module is specifically configured to count the number of modifications of the system load prediction data, the bus load prediction data, and the generator set shutdown plan data.
Optionally, the clear result analysis module includes: the system comprises a section tide information sub-module, a middle price marking grid module and an analysis structure sub-module;
the section tide information sub-module is used for counting the power transmission section tide information and calculating the out-of-limit quantity of the spot market section;
the bid-winning price submodule is used for counting bid-winning prices of the generator set and calculating the maximum value, the minimum value and the average value of the spot market price, the period of reaching the upper limit of the price and the period of reaching the lower limit of the price;
and the analysis structure sub-module is used for analyzing the market structure of the electric power spot market clearing result based on the power generation plan data of the generator set.
Optionally, the analysis structure submodule is specifically configured to:
calculating the change of the share of the electric power market by using an HHI formula;
calculating the sum of the market share of m power generation enterprises with the largest share on the power market by using a Top-m formula;
calculating the residual supply rate by using an RSI formula;
the HHI formula is:
wherein,,
for the HHI index of period X, a is the number of competing power generation enterprises, +.>
The share of the available power generation capacity of the j power generation enterprises is the proportion of the available capacity of the power generation enterprises to the total available capacity participating in competition;
the Top-m formula is:
wherein,,
top-m index representing period x, m being a natural number, (-) ->
The share of the available power generation capacity of the j power generation enterprises is the proportion of the available capacity of the power generation enterprises to the total available capacity participating in competition;
the RSI formula is:
wherein y is the number of power generation enterprises in the market,
declaration capacity for j-th power generation enterprise, < ->
The declaration capacity of the z-th power generation enterprise is represented by D, and the total market demand is represented by D.
From the above technical scheme, the application has the following advantages:
the application provides an electric power spot market monitoring analytical equipment, include: the system comprises a data acquisition module, a main body information analysis module, a declaration data analysis module, a boundary condition analysis module, an operation condition analysis module, a main body behavior analysis module and a clear result analysis module; the data acquisition module is used for acquiring market subject information data, market declaration data, market boundary condition data, market operation condition data, market subject behavior data and market clearing result data; the main body information analysis module is connected with the first end of the data acquisition module and is used for analyzing and calculating according to the market main body information data so as to obtain the architecture condition of the electric power spot market; the declaration data analysis module is connected with the first end of the data acquisition module and is used for counting and calculating according to the market declaration data so as to obtain quotation extremum and distribution conditions of various market subjects; the boundary condition analysis module is connected with the first end of the data acquisition module and is used for counting and calculating according to the market boundary condition data so as to obtain extreme values and total amounts of various market boundary condition data; the operation condition analysis module is connected with the first end of the data acquisition module and is used for counting according to the market operation condition data so as to obtain the manual intervention condition of a market operation mechanism on the market; the main body behavior analysis module is connected with the first end of the data acquisition module and is used for calculating the deviation rate of the actual output of the generator set and the spot market clearing result according to the market main body behavior data so as to obtain the behavior condition of the market main body; the clearing result analysis module is connected with the first end of the data acquisition module and is used for counting and calculating according to the market clearing result data so as to obtain the clearing section tide situation, the clearing electricity price and the market structure of the market.
The method comprises the steps of firstly collecting market subject information data, market declaration data, market boundary condition data, market operation condition data, market subject behavior data and market clearing result data by using a data collecting module, respectively processing the data by using a subject information analyzing module, a declaration data analyzing module, a boundary condition analyzing module, an operation condition analyzing module, a subject behavior analyzing module and a clearing result analyzing module, and obtaining architecture conditions of an electric power spot market, quotation extremum and distribution conditions of various types of subjects in the market, extremum and total quantity of various types of boundary condition data in the market, manual intervention conditions of a market operation mechanism on the market, behavior conditions of the subjects in the market and clearing section trend conditions, clearing electricity price and market structure of the market, and detecting and analyzing the electric power spot market from six layers, thereby solving the technical problem that the prior art can fully utilize mass data of market operation and reflect the running condition of the electric power spot market from a plurality of layers.
Drawings
Fig. 1 is a schematic structural diagram of an electric power spot market monitoring and analyzing device according to an embodiment of the present application;
FIG. 2 is a schematic diagram of another structure of an apparatus for monitoring and analyzing a power spot market according to an embodiment of the present application;
wherein, the reference numerals are as follows:
101. a data acquisition module; 102. a main body information analysis module; 103. a declaration data analysis module; 104. a boundary condition analysis module; 1041. a load prediction sub-module; 1042. a tie line sub-module; 1043. a shutdown information sub-module; 1044. a standby demand sub-module; 105. an operation condition analysis module; 106. a body behavior analysis module; 107. a clear result analysis module; 1071. a section tide information sub-module; 1072. a medium price grid module; 1073. and analyzing the structural sub-module.
Detailed Description
The embodiment of the application provides an electric power spot market monitoring and analyzing device, which solves the technical problem that the prior art does not fully utilize mass data of market operation and reflects the operation condition of the electric power spot market from a plurality of layers.
In order to make the objects, features and advantages of the present invention more obvious and understandable, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is apparent that the embodiments described below are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present disclosure.
Referring to fig. 1, an embodiment of the present application provides an electric power spot market monitoring and analyzing device, including: the system comprises a data acquisition module 101, a main body information analysis module 102, a declaration data analysis module 103, a boundary condition analysis module 104, an operation condition analysis module 105, a main body behavior analysis module 106 and a clear result analysis module 107; the data acquisition module 101 is used for acquiring market subject information data, market declaration data, market boundary condition data, market operation condition data, market subject behavior data and market clearing result data; the main body information analysis module 102 is connected with the first end of the data acquisition module 101 and is used for analyzing and calculating according to market main body information data so as to obtain the architecture condition of the electric power spot market; the declaration data analysis module 103 is connected with the first end of the data acquisition module 101 and is used for counting and calculating according to market declaration data so as to obtain quotation extremum and distribution conditions of various market subjects; the boundary condition analysis module 104 is connected with the first end of the data acquisition module 101 and is used for counting and calculating according to market boundary condition data so as to obtain extreme values and total amounts of various market boundary condition data; the operation condition analysis module 105 is connected with the first end of the data acquisition module 101 and is used for counting according to market operation condition data so as to acquire the manual intervention condition of a market operation mechanism on a market; the main body behavior analysis module 106 is connected with the first end of the data acquisition module 101 and is used for calculating the deviation rate of the actual output of the generator set and the spot market clearing result according to the market main body behavior data so as to obtain the behavior condition of the market main body; the clearing result analysis module 107 is connected to the first end of the data acquisition module 101, and is configured to perform statistics and calculation according to the market clearing result data, so as to obtain the clear section trend condition, the clearing electricity price and the market structure of the market.
According to the embodiment of the application, the data acquisition module 101 is used for acquiring market subject information data, market declaration data, market boundary condition data, market operation condition data, market subject behavior data and market clearing result data, the data are processed through the subject information analysis module 102, the declaration data analysis module 103, the boundary condition analysis module 104, the operation condition analysis module 105, the subject behavior analysis module 106 and the clearing result analysis module 107, the architecture condition of the electric power spot market, the quotation extremum and distribution condition of various types of subjects in the market, the extremum and total quantity of various types of boundary condition data in the market, the manual intervention condition of a market operation mechanism on the market, the behavior condition of the market subject and the clearing section trend condition of the market, the clearing electricity price and the market structure are detected and analyzed from six levels, so that the technical problem that the running condition of the electric power spot market can be reflected from a plurality of levels by fully utilizing mass data of market operation is solved.
The foregoing is a detailed description of a first embodiment of an electrical power spot-market monitoring and analyzing device provided by the present application, and the following is a detailed description of a second embodiment of an electrical power spot-market monitoring and analyzing device provided by the present application.
Referring to fig. 2, an apparatus for monitoring and analyzing a power spot market according to an embodiment of the present application includes: the system comprises a data acquisition module 101, a main body information analysis module 102, a declaration data analysis module 103, a boundary condition analysis module 104, an operation condition analysis module 105, a main body behavior analysis module 106 and a clear result analysis module 107; the data acquisition module 101 is used for acquiring market subject information data, market declaration data, market boundary condition data, market operation condition data, market subject behavior data and market clearing result data; the main body information analysis module 102 is connected with the first end of the data acquisition module 101 and is used for analyzing and calculating according to market main body information data so as to obtain the architecture condition of the electric power spot market; the declaration data analysis module 103 is connected with the first end of the data acquisition module 101 and is used for counting and calculating according to market declaration data so as to obtain quotation extremum and distribution conditions of various market subjects; the boundary condition analysis module 104 is connected with the first end of the data acquisition module 101 and is used for counting and calculating according to market boundary condition data so as to obtain extreme values and total amounts of various market boundary condition data; the operation condition analysis module 105 is connected with the first end of the data acquisition module 101 and is used for counting according to market operation condition data so as to acquire the manual intervention condition of a market operation mechanism on a market; the main body behavior analysis module 106 is connected with the first end of the data acquisition module 101 and is used for calculating the deviation rate of the actual output of the generator set and the spot market clearing result according to the market main body behavior data so as to obtain the behavior condition of the market main body; the clearing result analysis module 107 is connected to the first end of the data acquisition module 101, and is configured to perform statistics and calculation according to the market clearing result data, so as to obtain the clear section trend condition, the clearing electricity price and the market structure of the market.
It should be noted that, the market subject information data in this embodiment includes the capacity of the generator set and the number of the generator sets; the market declaration data comprises quotation information of the generator set; market boundary condition data comprises system load prediction data, tie line power transmission plan data, generator set shutdown plan data and system standby demand data; the market operation condition data comprise modification record data of the system load prediction data, the bus load prediction data and the generator set shutdown plan data by a market operation manager; the market subject behavior data includes execution of a generator set tracking power generation plan; the market clearing result data comprise transmission section tide information, the winning price of the generator set and the power generation plan data of the generator set.
Further, the body information analysis module 102 in this embodiment is specifically configured to calculate the number of generator sets and the total power generation capacity index that participate in the spot market and do not participate in the spot market.
Further, the declaration data analysis module 103 in this embodiment is specifically configured to count the highest price of the generating sets, the lowest price of the generating sets, the number of generating sets reaching the upper limit of the market declaration price, and the number of generating sets reaching the lower limit of the market declaration price; calculating the average quotation of the generator set by using an average calculating formula; calculating the ratio of the number of the generator sets which reach the upper limit of the market declaration price to the number of the generator sets which participate in the market quotation and the ratio of the number of the generator sets which reach the lower limit of the market declaration price to the number of the generator sets which participate in the market quotation by using a duty ratio formula; the averaging formula is:
wherein,,
for said average offer ∈ ->
Offer for genset i,/->
For reporting the power generation capacity of the generator set i, < >>
The number of the generator sets which participate in market quotation;
the duty ratio formula is:
wherein,,
in order to reach the number of the upper limit set of the market declaration price and the number of the lower limit set of the market declaration price, N is the number of the generator sets of which the declaration price reaches the upper limit of the highest or lowest declaration price of the market, and M represents all the generator sets participating in the market quotation.
Further, the boundary condition analysis module 104 in this embodiment includes: load prediction submodule 1041, tie line submodule 1042, shutdown information submodule 1043 and standby demand submodule 1044;
the load prediction submodule 1041 is used for counting system load prediction data, calculating the occurrence time of the maximum load predicted value and the maximum load predicted value, and calculating the occurrence time of the minimum load predicted value and the minimum load predicted value; the link submodule 1042 is used for counting link transmission plan data and calculating a maximum value and a minimum value of the link transmission plan; the shutdown information submodule 1043 is used for counting shutdown plan data of the generator set and calculating the total shutdown amount of the generator set; the standby requirement sub-module 1044 is configured to count system standby requirement information, and calculate a maximum value and a minimum value of positive and negative standby requirements of a market in the future and a real-time market.
Further, the operation condition analysis module 105 in this embodiment is specifically configured to count the number of modifications of the system load prediction data, the bus load prediction data, and the generator set shutdown plan data.
Further, the clearing result analysis module 107 in this embodiment includes: section flow information submodule 1071, winning price submodule 1072 and analysis structure submodule 1073.
The section power flow information submodule 1071 is used for counting power transmission section power flow information, calculating the out-of-limit quantity of the spot market section, the winning price submodule 1072 is used for counting winning prices of the generator set, calculating the maximum value, the minimum value and the average value of the spot market price, reaching the upper price limit period and reaching the lower price limit period, and the analysis structure submodule 1073 is used for analyzing the market structure of the power spot market clearing result based on the power generation plan data of the generator set.
Further, the analysis structure submodule 1073 in this embodiment is specifically configured to calculate the change of the share of the electric power market by using HHI formula, calculate the sum of the market shares of the m power generation enterprises with the largest share on the electric power market by using Top-m formula, and calculate the remaining supply rate by using RSI formula.
It should be noted that the formula of HHI is:
wherein,,
for the HHI index of period X, a is the number of competing power generation enterprises, +.>
The share of the available power generation capacity of the j-th power generation enterprise refers to the proportion of the available capacity of the power generation enterprise to the total available capacity participating in competition.
Note that, the Top-m formula is:
wherein,,
top-m index representing period x, m being a natural number, (-) ->
The share of the available power generation capacity of the j power generation enterprises is the proportion of the available capacity of the power generation enterprises to the total available capacity participating in competition;
it should be noted that the RSI formula is:
wherein y is the number of power generation enterprises in the market,
declaration capacity for j-th power generation enterprise, < ->
The declaration capacity of the z-th power generation enterprise is represented by D, and the total market demand is represented by D.
According to the embodiment of the application, the data acquisition module 101 is used for acquiring market subject information data, market declaration data, market boundary condition data, market operation condition data, market subject behavior data and market clearing result data, the data are processed through the subject information analysis module 102, the declaration data analysis module 103, the boundary condition analysis module 104, the operation condition analysis module 105, the subject behavior analysis module 106 and the clearing result analysis module 107, the architecture condition of the electric power spot market, the quotation extremum and distribution condition of various types of subjects in the market, the extremum and total quantity of various types of boundary condition data in the market, the manual intervention condition of a market operation mechanism on the market, the behavior condition of the market subject and the clearing section trend condition of the market, the clearing electricity price and the market structure are detected and analyzed from six levels, so that the technical problem that the running condition of the electric power spot market can be reflected from a plurality of levels by fully utilizing mass data of market operation is solved.
It will be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described network, apparatus and units may refer to the corresponding processes in the foregoing method embodiments, which are not repeated herein.
In the several embodiments provided in this application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is merely a logical function division, and there may be other manners of division in actual implementation, for example, multiple units or components may be combined or may be integrated into another power network to be installed, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in each embodiment of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be embodied in essence or a part contributing to the prior art or all or part of the technical solution in the form of a software product stored in a storage medium, including several instructions to cause a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in the embodiments of the present application. And the aforementioned storage medium includes: a usb disk, a removable hard disk, a Read-only memory (ROM), a random access memory (RAM, randomAccessMemory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The above embodiments are merely for illustrating the technical solution of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the corresponding technical solutions.
Claims (4)
1. An electrical power spot market monitoring and analysis device, comprising: the system comprises a data acquisition module, a main body information analysis module, a declaration data analysis module, a boundary condition analysis module, an operation condition analysis module, a main body behavior analysis module and a clear result analysis module;
the data acquisition module is used for acquiring market subject information data, market declaration data, market boundary condition data, market operation condition data, market subject behavior data and market clearing result data;
the main body information analysis module is connected with the first end of the data acquisition module and is used for analyzing and calculating according to the market main body information data so as to obtain the architecture condition of the electric power spot market;
the declaration data analysis module is connected with the first end of the data acquisition module and is used for counting and calculating according to the market declaration data so as to obtain quotation extremum and distribution conditions of various market subjects;
the boundary condition analysis module is connected with the first end of the data acquisition module and is used for counting and calculating according to the market boundary condition data so as to obtain extreme values and total amounts of various market boundary condition data;
the operation condition analysis module is connected with the first end of the data acquisition module and is used for counting according to the market operation condition data so as to obtain the manual intervention condition of a market operation mechanism on the market;
the main body behavior analysis module is connected with the first end of the data acquisition module and is used for calculating the deviation rate of the actual output of the generator set and the spot market clearing result according to the market main body behavior data so as to obtain the behavior condition of the market main body;
the clearing result analysis module is connected with the first end of the data acquisition module and is used for counting and calculating according to the market clearing result data so as to obtain the clearing section tide situation, the clearing electricity price and the market structure of the market;
the market subject information data includes generator set capacity and number of generator sets;
the market declaration data comprises quotation information of a generator set;
the market boundary condition data comprise system load prediction data, tie line power transmission plan data, generator set shutdown plan data and system standby demand data;
the market operation condition data comprise modification record data of the system load prediction data, the bus load prediction data and the generator set shutdown plan data by a market operation manager;
the market subject behavior data comprises execution conditions of a generator set tracking power generation plan;
the market clearing result data comprise transmission section tide information, a bid price in a generator set and power generation plan data of the generator set;
the main body information analysis module is specifically configured to:
calculating the number of generating sets and the total power generation capacity index which participate in the spot market and do not participate in the spot market;
the declaration data analysis module is specifically used for:
counting the highest quotation and the lowest quotation of the generator sets, the number of the generator sets reaching the upper limit of the market declaration price and the number of the generator sets reaching the lower limit of the market declaration price;
calculating the average quotation of the generator set by using an average calculating formula;
calculating the ratio of the number of the generator sets which reach the upper limit of the market declaration price to the number of the generator sets which participate in the market quotation and the ratio of the number of the generator sets which reach the lower limit of the market declaration price to the number of the generator sets which participate in the market quotation by using a duty ratio formula;
the averaging formula is:
wherein,,
for said average offer ∈ ->
Offer for genset i,/->
For reporting the power generation capacity of the generator set i, < >>
The number of the generator sets which participate in market quotation;
the duty ratio formula is:
wherein,,
in order to reach the number of the upper limit set of the market declaration price and the number of the lower limit set of the market declaration price, N is the number of the generator sets of which the declaration price reaches the upper limit of the highest or lowest declaration price of the market, and M represents all the generator sets participating in the market quotation;
the boundary condition analysis module includes: the system comprises a load prediction sub-module, a connecting line sub-module, a shutdown information sub-module and a standby demand sub-module;
the load prediction sub-module is used for counting the system load prediction data, calculating the occurrence time of the maximum load prediction value and the maximum load prediction value, and calculating the occurrence time of the minimum load prediction value and the minimum load prediction value;
the tie line sub-module is used for counting the tie line power transmission plan data and calculating the maximum value and the minimum value of the tie line power transmission plan;
the shutdown information sub-module is used for counting the shutdown plan data of the generator set and calculating the total shutdown amount of the generator set;
and the standby demand sub-module is used for counting the standby demand data of the system and calculating the maximum value and the minimum value of the positive and negative standby demands of the market in the future and the real-time market.
2. The power spot market monitoring analysis device of claim 1, wherein the operational condition analysis module is specifically configured to count the number of modifications of the system load forecast data, the bus load forecast data, the genset shutdown plan data.
3. The power spot-market monitoring analysis device of claim 1, wherein the clearing result analysis module comprises: the system comprises a section tide information sub-module, a middle price marking grid module and an analysis structure sub-module;
the section tide information sub-module is used for counting the power transmission section tide information and calculating the out-of-limit quantity of the spot market section;
the bid-winning price submodule is used for counting bid-winning prices of the generator set and calculating the maximum value, the minimum value and the average value of the spot market price, the period of reaching the upper limit of the price and the period of reaching the lower limit of the price;
and the analysis structure sub-module is used for analyzing the market structure of the electric power spot market clearing result based on the power generation plan data of the generator set.
4. The electrical power spot-market monitoring analysis device of claim 3, wherein the analysis structure submodule is specifically configured to:
calculating the change of the share of the electric power market by using an HHI formula;
calculating the sum of the market share of m power generation enterprises with the largest share on the power market by using a Top-m formula;
calculating the residual supply rate by using an RSI formula;
the HHI formula is:
wherein,,
for the HHI index of period X, a is the number of competing power generation enterprises, +.>
The share of the available power generation capacity of the j power generation enterprises is the proportion of the available capacity of the power generation enterprises to the total available capacity participating in competition;
the Top-m formula is:
wherein,,
a Top-m index representing a period x, m being a natural number;
the RSI formula is:
wherein y is the number of power generation enterprises in the market,
declaration capacity for j-th power generation enterprise, < ->
The declaration capacity of the z-th power generation enterprise is represented by D, and the total market demand is represented by D.
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| CN111797892B (en) * | 2020-05-21 | 2022-10-11 | 国电南瑞科技股份有限公司 | Electric power market generator market force monitoring method based on random forest regression |
| CN111784137A (en) * | 2020-06-22 | 2020-10-16 | 南方电网能源发展研究院有限责任公司 | Power market operation risk analysis method and device, terminal equipment and medium |
| CN111951121B (en) * | 2020-07-20 | 2021-05-11 | 广东电力交易中心有限责任公司 | Electric power spot market quotation mode classification method and storage medium |
| CN112350314B (en) * | 2020-10-30 | 2023-01-20 | 广东电网有限责任公司电力调度控制中心 | Scheduling method and device for power generation intelligent driving system of power system |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105552860A (en) * | 2015-12-29 | 2016-05-04 | 国家电网公司 | Power distribution network isolated island operation scheme method based on energy storage and distributed generation |
| JP2019096164A (en) * | 2017-11-24 | 2019-06-20 | 富士電機株式会社 | Electric power market price predicting device, electric power market price predicting method, and electric power market price predicting program |
| CN109948209A (en) * | 2019-03-07 | 2019-06-28 | 广东电力交易中心有限责任公司 | Operation simulation method, device and equipment suitable for power spot market |
| CN110110984A (en) * | 2019-04-26 | 2019-08-09 | 国网福建省电力有限公司 | It is a kind of consider user demand response power spot market go out clearing method |
| CN110443645A (en) * | 2019-07-26 | 2019-11-12 | 中国能源建设集团广东省电力设计研究院有限公司 | Pump-storage generator operation reserve method for establishing model based on power spot market |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108022178A (en) * | 2017-11-16 | 2018-05-11 | 清华大学 | The electricity that market supply and demand is adjusted based on remaining supply index goes out clearing method and device |
-
2019
- 2019-12-27 CN CN201911383182.4A patent/CN111047369B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105552860A (en) * | 2015-12-29 | 2016-05-04 | 国家电网公司 | Power distribution network isolated island operation scheme method based on energy storage and distributed generation |
| JP2019096164A (en) * | 2017-11-24 | 2019-06-20 | 富士電機株式会社 | Electric power market price predicting device, electric power market price predicting method, and electric power market price predicting program |
| CN109948209A (en) * | 2019-03-07 | 2019-06-28 | 广东电力交易中心有限责任公司 | Operation simulation method, device and equipment suitable for power spot market |
| CN110110984A (en) * | 2019-04-26 | 2019-08-09 | 国网福建省电力有限公司 | It is a kind of consider user demand response power spot market go out clearing method |
| CN110443645A (en) * | 2019-07-26 | 2019-11-12 | 中国能源建设集团广东省电力设计研究院有限公司 | Pump-storage generator operation reserve method for establishing model based on power spot market |
Non-Patent Citations (1)
| Title |
|---|
| 用户报量不报价模式下电力现货市场需求响应机制与方法;陈雨果;张轩;罗钢;白杨;谭振飞;钟海旺;;电力系统自动化(第09期);全文 * |
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