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Multi-target reactive power optimization method for electric system

A technology of power system and optimization method, applied in reactive power compensation, reactive power adjustment/elimination/compensation, etc., can solve problems with high complexity

Inactive Publication Date: 2012-07-25
NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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Problems solved by technology

[0004] In view of the high complexity of solving the multi-objective optimization problem mentioned in the background technology and the advantages of the Memetic algorithm in solving the multi-objective optimization problem, the present invention proposes a multi-objective reactive power optimization method for power systems based on the Memetic algorithm

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  • Multi-target reactive power optimization method for electric system
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  • Multi-target reactive power optimization method for electric system

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[0057] The implementation of the multi-objective reactive power optimization method of the power system of the present invention will be described in detail below with reference to the accompanying drawings, taking the modified IEEE 14-node system as an example. It should be emphasized that the following description is only exemplary, and is not intended to limit the scope of the present invention and its application.

[0058] Such as figure 1 Shown is a flow chart of a power system multi-objective reactive power optimization method provided by the present invention. The method provided by the present invention includes the following steps:

[0059] 1) Assign values ​​to the original grid parameter variables;

[0060] The original power grid parameters specifically include:

[0061] a. Grid inherent data: including grid network structure, branch data, load of each node under various operation modes, and active power output of generators;

[0062] b. Generator terminal voltage with ad...

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Abstract

The invention discloses a multi-target reactive power optimization method for an electric system, which belongs to the field of reactive power optimization for electric systems. The method includes: modifying the Memetic algorithm to adapt to multi-target optimization, applying the modified Memetic algorithm to the problem of multi-target reactive power optimization for the electric system, and working out a Pareto optimal solution of the multi-target problem; and judging whether algorithm convergence conditions are met or not, and if yes, completing optimization and outputting optimization results. The multi-target reactive power optimization method has the advantages that the algorithm for solving the problem of multi-target reactive power optimization is provided, the method is more suitable for solving the multi-target problem while giving play to existing advantages of the Memetic algorithm which integrates local searching and evolutionary computation and has high global search capacity and the like, and searching efficiency is improved while algorithm robustness is improved.

Description

Technical field [0001] The invention belongs to the field of power system reactive power optimization, and particularly relates to a power system multi-objective reactive power optimization method. The present invention designs a power system multi-objective reactive power optimization method based on a Memetic algorithm. Background technique [0002] Reactive power optimization means that when the structural parameters and load conditions of the system are given, by optimizing certain control variables, what can be found to achieve one or more performance indicators of the system under the premise of satisfying all specified constraints Reactive power adjustment means at optimal time. The reactive power optimization problem is a branch problem gradually differentiated from the development of optimal power flow. Reactive power optimization of the grid in the power system can control the voltage level and reduce the active power loss. Commonly used reactive power / voltage control...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/18
CPCY02E40/30
Inventor 李元诚李彬
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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