Earticle

초록

영어

Based on large-scale wind power base of our country, the modeling and solving for multi-objective reactive power optimization of large-scale wind power integration are studied. To make sure of the hierarchical and regional balance of reactive power under normal circumstances and to have the power of supporting the safety of the grid in case of emergency, a solving thinking presents that capacitor switching and transformer tap adjusting and other discrete equipments are first, and the action sequence of generator and dynamic reactive power devices and other continuous equipments setting follows, which is presented that optimization problem is decomposed into continuous variable optimization and discrete variable optimization. The genetic algorithm is presented for finding global optimal solution. The coding of control variables and strategies for the cross and mutation operation are mainly studied, and determine each objective weight of multi-objective optimization. Case studies show that the proposed thinking is reasonable.

목차

Abstract
 1. Introduction
 2. Multi-objective Model of Reactive Power Optimization
 3. The Coordinated Regulation of Discrete and Continuous Variables
 4. The Solution of the Genetic Algorithm with Adaptive Weight
  4.1. The Coding of Control Variables
  4.2. Fitness Function
  4.3. The Set of Other Operation Strategies and Related Parameters
 5. Simulation Example
 6. Conclusion
 References

키워드

저자

• Deyu Chen [ School of Computer and Informatin Engineering Harbin University of Commerce Harbin,China,150028 ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Control and Automation

• 간기

  월간

• pISSN

  2005-4297

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605