Transmission congestion management considering EV parking lots and demand response programmes

被引:2
|
作者
Mohsenzadeh, Amin [1 ]
Pang, Chengzong [1 ]
Yang, Lin [2 ]
机构
[1] Wichita State Univ, Dept Elect & Comp Engn, Wichita, KS 67260 USA
[2] North China Elect Power Univ, State Key Lab Alternate Elect Power Syst Renewabl, Beijing, Peoples R China
关键词
Congestion management; EDRP; parking lot; shift factor; transmission system;
D O I
10.1080/01430750.2019.1614985
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Transmission congestion is one of the key elements affecting spike price and local market power. Reducing the demand and increasing the generation in distribution network may lead to relive the congestion of a transmission line. Plug-in hybrid electrical vehicle (PHEVs) parking lots and emergency demand response programmes (EDRP) are considered as two main options to manage the demand of a transmission bus. In this paper, a novel approach is proposed to determine the optimal capacity of EDRP and PHEV parking lots in order to relieve transmission congestion in a least-cost manner. The behaviour of EDRP participants and available capacity of the parking lot are mathematically modelled. Genetic algorithm (GA) with binary variables is employed to solve the optimisation problem. Simulation is carried out on a 14-bus transmission network. Results demonstrate the optimal contribution of parking lots and EDRP has a significant effect on mitigating congestion and decreasing the cost of the system.
引用
收藏
页码:1727 / 1731
页数:5
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