Multi-objective Congestion Management Approach in Competitive Electricity Markets

被引:0
|
作者
Saraswat, Amit [1 ]
Saini, Ashish [2 ]
机构
[1] Manipal Univ Jaipur, Dept Elect Engn, Jaipur, Rajasthan, India
[2] Dayalbagh Educ Inst, Dept Elect Engn, Agra, Uttar Pradesh, India
来源
2017 6TH INTERNATIONAL CONFERENCE ON COMPUTER APPLICATIONS IN ELECTRICAL ENGINEERING - RECENT ADVANCES (CERA) | 2017年
关键词
Congestion management; Competitive bidding; Multi-objective optimization; Load Curtailment; POWER MARKET; VOLTAGE;
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
In this paper, a competitive bidding based congestion management approach is developed for a pool type electricity market model. The proposed approach primarily mitigates the congestion based on rescheduling both the real and reactive power output of generators. The severe transmission congestion problem may be handled by adopting group wise load curtailment scheme based on willingness to pay approach in addition to real and reactive generation rescheduling. The separate bids are invited from all participating generators in the congestion market. Further, the multi-objective optimization frameworks are developed which simultaneously minimizes two contradictory objective functions such as Total Cost of Congestion Management and Congestion Severity Index (CSI) subjected to various system constraints. The proposed approach is tested for different congestion scenarios on 39-bus New England power system.
引用
收藏
页码:181 / 186
页数:6
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