电力系统自动化2016，Vol.40Issue(12)：80-86,7.DOI:10.7500/AEPS20151019011
基于熵理论的电力系统最优潮流均衡度分析
Entropy Theory Based Optimal Power Flow Balancing Analysis in Power System
靳冰洁 1张步涵 2王珂3
作者信息
- 1. 广东电网发展研究院有限责任公司，广东省广州市 510080
- 2. 强电磁工程与新技术国家重点实验室，华中科技大学，湖北省武汉市 430074
- 3. 中国电力科学研究院 南京，江苏省南京市 210003
- 折叠
摘要
Abstract
With the great variety of complicated characteristics of modern power systems,plus the fact that power grid interactive operation has become a research hotspot in the new situation,improvement of safe operation of the system in the many kinds of complex operating characteristics has become the research focus and problem.Such being the case,a power flow balancing analyzing method based on the entropy theory is proposed.By studying the characteristics of power flow variation, new methods for system safe operation improvement are explored.By proceeding from the mechanism of influence of load variation on power flow,the power flow transfer entropy is established to describe the balance of branch power flow variation. On this basis,an optimal power flow balancing model is proposed with the power flow transfer entropy as the obj ective function.By generation rescheduling,the load security margin of power system could be improved.The conventional operation mode and source-load interactive operation mode are set in an IEEE 300-bus system case study.The results have validated the effectiveness of the power flow transfer entropy index and the optimal power flow balancing model under discussion. Additionally,compared with the optimization method with load margin as the obj ective direct,the method proposed has much higher efficiency,which provides a reference for daily scheduling and day-ahead scheduling in the power system.关键词
最优潮流均衡度/信息熵/潮流转移熵/安全负荷裕度/互动运行Key words
optimal power flow balancing/information entropy/power flow transfer entropy/load security margin/interactive operation引用本文复制引用
靳冰洁,张步涵,王珂..基于熵理论的电力系统最优潮流均衡度分析[J].电力系统自动化,2016,40(12):80-86,7.
