Rescheduling of real power for congestion management with integration of pumped storage hydro unit using firefly algorithm

被引:37
|
作者
Gope, Sadhan [1 ]
Goswami, Arup Kumar [1 ]
Tiwari, Prashant Kumar [1 ]
Deb, Subhasish [2 ]
机构
[1] Natl Inst Technol, Dept Elect Engn, Silchar, Assam, India
[2] Mizoram Univ, Dept Elect Engn, Aizawl, India
关键词
Congestion management; Pumped storage hydro unit (PSHU); Generator sensitivity factor (GSF); Bus sensitivity factor (BSF); Firefly Algorithm (FA); ELECTRICITY MARKETS; FACTS DEVICES; GENERATION; STABILITY; VOLTAGE;
D O I
10.1016/j.ijepes.2016.04.048
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
Post-deregulation era of power system operation produces more pressure on Independent System Operator (ISO) to ensure congestion free transmission network without destroying system security. In order to relieve transmission congestion, ISO initiates correct methods by maintaining system reliability and security. This paper considers a novel efficient technique for congestion management like generator real power rescheduling by integrating a pumped storage hydro unit (PSHU) in the system. This paper presents an optimization model for congestion management by incorporating the calculation of two factors like generator sensitivity factor (GSF) and bus sensitivity factor (BSF). Optimal location of PSHU is identified using the value of BSF's and the numbers of participated generators for congestion management by rescheduling their outputs are determined using the value of GSF's. The impact of PSHU has been investigated to manage transmission congestion which further reduces the congestion cost and improves security of the system. The proposed method for congestion management considering PSHU is tested on modified IEEE-39 bus New England test system and the validity is obtained by considering the same problem without the presence of PSHU. The result of proposed work with proper utilization of PSHU illustrates the impact of PSHU towards the congestion management and also exploration of firefly algorithm for minimizing the transmission congestion cost. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:434 / 442
页数:9
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