Pareto optimality-based multi-objective transmission planning considering transmission congestion

被引：36

作者：

Wang, Yi ^{[1
]}

Cheng, Haozhong ^{[1
]}

Wang, Chun ^{[1
,2
]}

Hu, Zechun ^{[1
]}

Yao, Liangzhong ^{[3
]}

Ma, Zeliang ^{[4
]}

Zhu, Zhonglie ^{[4
]}

机构：

[1] Shanghai Jiao Tong Univ, Dept Elect Engn, Shanghai 200240, Peoples R China

[2] Nanchang Univ, Dept Elect Engn & Automat, Nanchang 330031, Peoples R China

[3] AREVA T&D Technol Centre, Stafford ST17 4LX, England

[4] E China Power Grid Co Ltd, Dept Dev Planning, Shanghai 200002, Peoples R China

来源：

ELECTRIC POWER SYSTEMS RESEARCH | 2008年 / 78卷 / 09期

关键词：

multi-objective transmission planning; Pareto optimality; congestion surplus; strength pareto evolutionary algorithm;

D O I：

10.1016/j.epsr.2008.02.004

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In the deregulated environment, transmission congestion is one major problem that needs to be handled in power system operation and network expansion planning. This paper aims to enhance the transmission system capability and have the congestion alleviated using the multi-objective transmission expansion planning (MOTEP) approach. A system congestion index called the congestion surplus is presented to measure the congestion degree of the transmission system. The proposed MOTEP approach optimizes three objectives simultaneously, namely the congestion surplus, investment cost and power outage cost. An improved strength Pareto evolutionary algorithm (SPEA) is adopted to solve the proposed model. A ranking method based on Euclidean distance is presented for decision-making in the Pareto-optimal set. The effectiveness of both the improved SPEA and the proposed multi-objective planning approach has been tested and proven on the 18-bus system and the 77-bus system, respectively. (C) 2008 Elsevier B.V. All rights reserved.

引用

页码：1619 / 1626

页数：8

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