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A dynamic partition electricity price calculation method based on partition clustering analysis

A technology of dynamic zoning and cluster analysis, applied in computing, computer components, instruments, etc., can solve problems such as distorted marginal electricity price signals, wrong market orientation, etc., to achieve effective zoning, low power purchase costs, and enhanced transparency and predictable effects

Active Publication Date: 2019-06-14
XI AN JIAOTONG UNIV
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AI Technical Summary

Problems solved by technology

If the results of regional division cannot accurately reflect the line congestion in the actual operation of the system, there may be little or no transmission congestion between the districts, and severe transmission congestion within each district, resulting in a decrease in the marginal electricity price of the district. Seriously distorted price signals, resulting in false market orientation

Method used

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  • A dynamic partition electricity price calculation method based on partition clustering analysis
  • A dynamic partition electricity price calculation method based on partition clustering analysis
  • A dynamic partition electricity price calculation method based on partition clustering analysis

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Embodiment Construction

[0064] see figure 1 , the present invention is based on a method for calculating dynamic partition electricity prices based on partition cluster analysis, comprising the following steps:

[0065] S1. Obtain basic technical data of the power system, data of power system operating constraints, and quotation data from relevant departments;

[0066] Basic technical data of power system:

[0067] Node number NodeN, line number LineN, system load SystemLoad in 24 periods, transmission line data: resistance R, reactance X, susceptance B; transformer data: reactance X, transformation ratio K.

[0068] Power system operating constraints data:

[0069] The upper and lower limits of the output of each generator set: GenBound for conventional units, HBound for hydroelectric units, RBound for new energy units; FlowBound for branch power flow capacity limits.

[0070] Quote data:

[0071] The quotation information of generators in 24 periods: Bid_C of conventional units, Bid_H of hydroe...

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Abstract

The invention discloses a dynamic partition electricity price calculation method based on partition clustering analysis. The method comprises constructing a direct-current optimal power flow optimization target, determining a power system operation constraint condition, solving to obtain optimized hydroelectric output, and then solving node electricity price, conventional unit and new energy unitoutput, power flow data, an active dual factor and node injection power; generating an effective clustering attribute; determining an optimal clustering number; generating a dissimilarity matrix through standardization processing and a Euclidean distance method, and dividing a clustering algorithm to realize clustering; dividing each electricity price area according to the clustering result, and finally determining the unified pricing of each area; feeding back a calculation result of the regional electricity price, and carrying out settlement on market participants in each region according tothe regional electricity price. According to the invention, the electricity price of each subarea can be determined, and finally, each node in the same area is settled in a unified pricing manner, sothat the practical operability is improved, and the demand of obtaining relatively stable price by most users is met.

Description

technical field [0001] The invention belongs to the technical field of electric power, and in particular relates to a dynamic partition electricity price calculation method based on partition cluster analysis. Background technique [0002] With the development of the electricity market, the clearing methods and transaction types in the market gradually increase to adapt to the characteristics of the power grid in different regions. The node marginal price is the most commonly used spot market clearing model, which can simultaneously consider the marginal cost of each generating unit and the physical characteristics of the power network, including transmission congestion and network loss, so as to solve the problem of power supply resources and power network characteristics at a certain time The minimum cost of new unit load power supply for a node of . In the power market, the use of node marginal power price to price electric energy can reflect the actual power supply cost...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q50/06G06K9/62
Inventor 王建学李昀昊姜正庭刘彦洋
Owner XI AN JIAOTONG UNIV
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