Method of increasing electric energy quality based on processing active optimization constraint condition

Abstract

The invention discloses a method of increasing electric energy quality based on processing an active optimization constraint condition. The method is characterized by establishing an active optimization mathematics model of an electric power system; generating an initial population and setting an operation parameter; determining a target function including a penalty coefficient; selecting a global optimal solution and updating the penalty coefficient; executing variation and intersection operations in a differential evolution algorithm and generating a new test individual; calculating an individual fitness value and a constraint assessment value; and using a non-greedy selection strategy to select one from the new test individual and an original individual to be served as a new individual of a next generation and updating the global optimal solution. A penalty function and the non-greedy selection strategy are combined so as to ensure that the individual is gathered towards a feasible area to acquire an optimal solution. Through using the method, after electric power system active optimization and the differential evolution algorithm are combined, on an aspect of an electric power system active optimization problem, a good search capability and a good convergence effect are possessed.

Description

technical field [0001] The invention belongs to the technical field of power system optimization, in particular to a method for improving power quality in a power system. Background technique [0002] Electric energy has an inseparable relationship with various sectors of the national economy, so improving the quality of electric energy has very important theoretical and practical significance. In the early research on the optimal operation of the power system, scientists were limited to the economic dispatch of the system, also known as the economic operation of the power system. The research shows that this method cannot fully consider the security constraints to make the system run safely. In response to this problem, some scholars have proposed the Optimal Power Flow (OPF for short) problem. According to different control methods, power system power flow optimization is divided into active power optimization and reactive power optimization. Active power optimization i...

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Problems solved by technology

[0006] The present invention aims at a power system with a large number of nodes. In the process of improving the power quality, the fitness value is poor, and the control variables that meet the safety constraints and the effective improvement of the power quality cannot be obtained. The present invention provides a novel method for processing active power optimization constraints. method, using a non-greedy selection strategy (FNG) including a penalty function, combined with a differential evolution algorithm, to solve the state variable constraint problem in power system active power optimization

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