WAMS-based genetic algorithm-improved power grid reactive capacity optimization configuration method

A technology for optimizing capacity configuration and improving genetic algorithms. It is applied in computing, genetic models, instruments, etc., and can solve problems such as slow convergence, premature phenomenon, and formation of local optimal solutions.

Inactive Publication Date: 2014-10-22
STATE GRID CORP OF CHINA +1
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Problems solved by technology

However, the traditional genetic algorithm still has some shortcomings in the reactive power optimization process of th

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  • WAMS-based genetic algorithm-improved power grid reactive capacity optimization configuration method
  • WAMS-based genetic algorithm-improved power grid reactive capacity optimization configuration method
  • WAMS-based genetic algorithm-improved power grid reactive capacity optimization configuration method

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Embodiment Construction

[0054] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0055] The present invention provides an improved genetic algorithm based on real-time information of WAMS and EMS to optimize the configuration method of reactive power capacity of power grid, the flow chart of which is as follows figure 1 shown, including the following steps:

[0056] Step S1: Obtain in real time the dynamic measurement information of each vector measurement unit PMU installation site of the power grid from the power grid wide area monitoring system WAMS, and use it as the measurement data of the power plant (including the power angle of the power plant, the active power emitted, and the reactive power);

[0057] Step S2: Obtain the QS data file from the energy management system EMS, which includes the grid topology, parameters, and operating flow sections, and perform power flow calculations to obtain...

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Abstract

The invention relates to a genetic algorithm-improved power grid reactive capacity optimization configuration method based on real-time information of a Wide Area Measurement System (WAMS) and an Energy Management System (EMS) of a power grid. The method includes: step S1. obtaining power grid measurement information from the power grid WAMS in real time; step S2. obtaining from the EMS the power grid structure, parameters and running section information in the EMS of a current time section, and forming an admittance matrix of a whole network containing all load node equivalent admittance; step S3. performing hybrid coding on a control variable of power grid reactive optimization; step S4. establishing a fitness function; step S5. executing a selection operator; step S6. executing a cross and mutation operator; and step S7. determining the rate of convergence and convergence termination criteria. The method in the invention makes improvements on the basis of a traditional genetic algorithm, makes improvements in multiple aspects to improve defects of the traditional genetic algorithm in reactive optimization, improves the rate of convergence and quality of a solution, and prevents the problem of occurrence of a local optimal solution.

Description

technical field [0001] The invention relates to a configuration method in the field of grid operation state evaluation and early warning of a grid intelligent dispatching support system, in particular to a grid reactive capacity optimal configuration method based on a WAMS improved genetic algorithm. Background technique [0002] With the rapid development of society, economy and power industry, the power grid has gradually developed into a large-scale, long-distance, UHV AC-DC interconnection and an increasing proportion of new energy access, which increases the uncertainty of power grid operation. The receiving-end power grid is mainly centered on the load-concentrated area, and is connected to the long-distance generalized originating power supply through the surrounding tie-lines, so as to achieve the balance between supply and demand of electric energy. Due to the mismatch between the distribution of energy and load center areas, as well as the constraints of the enviro...

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Application Information

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IPC IPC(8): G06Q50/06G06N3/12
CPCY02E40/70Y04S10/50
Inventor 熊浩清黄训诚廖鹰陈军孙冉姚峰李志恒
Owner STATE GRID CORP OF CHINA
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