船舶综合电力系统多目标故障恢复模型及应用

Abstract
Figure/Table
References
Related Citation (15)

Download: PDF (470 KB) HTML (1 KB)
Export: BibTeX | EndNote (RIS)

Abstract A multiobjective optimal service restoration model for integrated ship power system is proposed. The evaluating indicators of service restoration are normalized based on linear pattern membership functions, and integrated into a single objective function by using a weighted product functional operator. An analytic hierarchy process is adopted to solve the weight of each index which is more convenient to be apprehended and operated by decision-maker. To test the multiobjective optimal model, it is applied to an improved simulated annealing genetic algorithm based on two-dimension encoding method for service restoration of integrated power system. The test results on a typical integrated power system show that the model can balance each objective to avoid extreme results, and achieve the restoration power regulation of large loads, which make restoration schemes more practical.

Key words： Integrated ship power system service restoration analytic hierarchy process genetic algorithm simulated annealing algorithm

Received: 14 September 2009 Published: 04 March 2014

PACS:

TM711

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	Huang Jing
	Zhang Xiaofeng
	Chen Yan
	Fu Lijun
	Ye Zhihao

Cite this article:

Huang Jing,Zhang Xiaofeng,Chen Yan等. Multiobjective Optimal Model of Service Restoration for Integrated Ship Power System and Its Application[J]. Transactions of China Electrotechnical Society, 2010, 25(3): 130-137.

URL:

http://dgjsxb.ces-transaction.com/EN/ OR http://dgjsxb.ces-transaction.com/EN/Y2010/V25/I3/130

[1] 马伟明. 舰船动力发展的方向-综合电力系统[J]. 海军工程大学学报, 2002, 14(6): 5-8.
[2] Bulter K L, Sarma N D R, Hicks I V. Service restoration in naval shipboard power systems[J]. IEE Proceedings of Generation, Transmission and Distri- bution, 2004, 151(1): 95-102.
[3] Luan W R, Irving M R, Daniel J S. Genetic algorithm for supply restoration and optimal load shedding in power system distribution networks[J]. IEE Proceedings of Generation, Transmission and Distribution, 2002, 149(2): 145-151.
[4] 杨秀霞, 张晓锋, 张毅, 等. 基于启发式遗传算法的舰船电力系统网络重构研究[J]. 中国电机工程学报, 2003, 23(10): 43-46.
[5] 杨秀霞, 张晓锋, 张毅. 免疫遗传算法在舰船电力系统供电恢复中的应用研究[J]. 中国电机工程学报, 2004, 24(9): 80-85.
[6] 杨秀霞, 张晓锋, 张毅, 等. 基于加速遗传算法的舰船电力系统故障恢复[J]. 电工技术学报, 2005, 20(5): 53-57.
[7] 何芳, 蔡兴国. 基于改进遗传算法的舰船电力系统网络重构[J]. 电工技术学报, 2006, 21(9): 25-30.
[8] 魏智博, 刘艳, 顾雪平. 基于DPSO算法以负荷恢复为目标的网络重构[J]. 电力系统自动化, 2007, 31(1): 38-42.
[9] 王锡淮, 李军军, 肖健梅. 基于梯度DPSO算法在舰船电力系统网络重构[J]. 电工技术学报, 2007, 22(12): 140-145.
[10] 陈小平, 顾雪平. 基于遗传模拟退火算法的负荷恢复计划制定[J]. 电工技术学报, 2009, 24(1): 171-175.
[11] Saaty T L. The analytic hierarchy process[M]. New Yerk: McGraw Hill, 1980.
[12] 骆正清, 杨善林. 层次分析法中几种标度的比较[J]. 系统工程理论与实践, 2004, 27(9): 51-60.
[13] 马东辉, 郭小东, 周锡元. 层次结构综合评判中各种递结算子保序性研究[J]. 控制与决策, 2007, 22(8): 873-877.
[14] 刘扬, 杨建军, 魏立新. 改进遗传模拟退火算法在配电网络重构中的应用[J]. 电力系统及其自动化学报, 2004, 16(5): 39-42.
作者简介:黄靖男, 1980年生, 博士研究生, 主要研究方向为舰船电力系统安全运行与控制。张晓锋男, 1963年生, 教授, 博士生导师, 主要研究方向为舰船电力系统及电力推进运行与控制。