Transmission Congestion Relief with Integration of Photovoltaic Power Using Lion Optimization Algorithm

被引：7
|
作者：
Gope, Sadhan [1 ]
Dawn, Subhojit [2 ]
Mitra, Rituparna [3 ]
Goswami, Arup Kr [3 ]
Tiwari, Prashant Kr [3 ]
机构：
[1] Mizoram Univ, Elect Engn Dept, Aizawl, Mizoram, India
[2] Siliguri Inst Technol, Elect Engn Dept, Siliguri, W Bengal, India
[3] Natl Inst Technol Silchar, Elect Engn Dept, Silchar, Assam, India
来源：
SOFT COMPUTING FOR PROBLEM SOLVING, SOCPROS 2017, VOL 1 | 2019年 / 816卷
关键词：
Photovoltaic power; Bus sensitivity factor; Generator sensitivity factor; Lion optimization algorithm; OPTIMAL PLACEMENT; ENERGY-SOURCES; FACTS DEVICES; MANAGEMENT; SOLAR; GENERATION; VOLTAGE;
D O I：
10.1007/978-981-13-1592-3_25
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Transmission congestion is a vital problem in a deregulated power system. This paper proposes a novel transmission congestion management approach considering photovoltaic (PV) power using lion optimization algorithm (LOA). The main contributions of this paper have twofolds. Initially, the values of bus sensitivity factor (BSF) and generator sensitivity factor (GSF) are, respectively, used to select the optimal bus to integrate PV power and to select the participating generators for congestion management. Finally, LOA is used to determine the active power rescheduling amount and congestion cost. Test results on modified 39 bus New England system indicate that the LOA approach could provide a less active power rescheduling amount and congestion cost with integration of PV power compared to particle swarm optimization (PSO) and ant lion optimizer (ALO) algorithm.
引用
收藏
页码：327 / 338
页数：12
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