Solving multi objective power flow problem using enhanced sine cosine algorithm

被引:15
作者
Karimulla, Shaik [1 ]
Ravi, K. [1 ]
机构
[1] Vellore Inst Technol VIT, Sch Elect Engn SELECT, Vellore, Tamil Nadu, India
关键词
Cost minimization; Enhanced sine cosine algorithm; Multi objective optimal power flow; Loss minimization; Voltage stability index; DIFFERENTIAL EVOLUTION ALGORITHM; PARTICLE SWARM OPTIMIZATION; POLLINATION ALGORITHM; OPTIMAL LOCATION; PLACEMENT; EMISSION; COST;
D O I
10.1016/j.asej.2021.02.037
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In the electrical power system optimal power flow is a solution for power management with multi variable equality and inequality constraints. Different algorithms were used to solve the optimum power flow (OPF). This paper proposes the optimal power flow using efficient and reliable optimization technique of enhanced sine cosine algorithm (ESCA). The proposed algorithm used to solve the multi objective power flow function problems such as generating cost, losses, emission of power plant and to improve the voltage stability. In this IEEE standard 30 bus system with four different multi objective functions have been tested and results obtained by Enhanced sine cosine algorithm are compared with other evolutionary algorithms. The results show that ESCA gives better results than other techniques in terms of convergence speed and global optimal solutions. (C) 2021 THE AUTHORS. Published by Elsevier BV on behalf of Faculty of Engineering, Ain Shams University.
引用
收藏
页码:3803 / 3817
页数:15
相关论文
共 50 条
[31]   Solution of multi-objective optimal power flow using efficient meta-heuristic algorithm [J].
Reddy, S. Surender .
ELECTRICAL ENGINEERING, 2018, 100 (02) :401-413
[32]   Multi-objective optimal power flow considering the cost, emission, voltage deviation and power losses using multi-objective modified imperialist competitive algorithm [J].
Ghasemi, Mojtaba ;
Ghavidel, Sahand ;
Ghanbarian, Mohammad Mehdi ;
Gharibzadeh, Masihallah ;
Vahed, Ali Azizi .
ENERGY, 2014, 78 :276-289
[33]   Crow search algorithm for solving optimal power flow problem [J].
Saha, Anulekha ;
Bhattacharya, Aniruddha ;
Das, Priyanath ;
Chakraborty, Ajoy Kumar .
PROCEEDINGS OF THE 2017 IEEE SECOND INTERNATIONAL CONFERENCE ON ELECTRICAL, COMPUTER AND COMMUNICATION TECHNOLOGIES (ICECCT), 2017,
[34]   Voltage Profile Enhancement Using Multi-Objective Sine Cosine Algorithm for Optimal Installation of DSTACOMs into Distribution Systems [J].
Selim, Ali ;
Kamel, Salah ;
Jurado, Francisco .
2019 10TH INTERNATIONAL RENEWABLE ENERGY CONGRESS (IREC), 2019,
[35]   Solution of the Multi-Objective Optimal Power Flow Problem Using Oppositional-Based Algorithm [J].
Raval, Nilkanth ;
Bhattacharjee, Kuntal ;
Chatterjee, Soumesh .
INTERNATIONAL JOURNAL OF SWARM INTELLIGENCE RESEARCH, 2022, 13 (01)
[36]   Solution of multi-objective optimal power flow using gravitational search algorithm [J].
Bhattacharya, A. ;
Roy, P. K. .
IET GENERATION TRANSMISSION & DISTRIBUTION, 2012, 6 (08) :751-763
[37]   Enhanced Genetic Algorithm based computation technique for multi-objective Optimal Power Flow solution [J].
Kumari, M. Sailaja ;
Maheswarapu, Sydulu .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2010, 32 (06) :736-742
[38]   HYPERSPECTRAL REMOTE SENSING IMAGE BAND SELECTION VIA MULTI-OBJECTIVE SINE COSINE ALGORITHM [J].
Wan, Yuting ;
Zhong, Yanfei ;
Ma, Ailong ;
Zhang, Liangpei .
2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019), 2019, :3796-3799
[39]   Environmental/economic dispatch problem of power system by using an enhanced multi-objective differential evolution algorithm [J].
Lu, Youlin ;
Zhou, Jianzhong ;
Qin, Hui ;
Wang, Ying ;
Zhang, Yongchuan .
ENERGY CONVERSION AND MANAGEMENT, 2011, 52 (02) :1175-1183
[40]   A novel Hybrid Harris hawk sine cosine optimization algorithm for reactive power optimization problem [J].
Jiao, Shangbin ;
Wang, Chen ;
Gao, Rui ;
Li, Yuxing ;
Zhang, Qing .
JOURNAL OF EXPERIMENTAL & THEORETICAL ARTIFICIAL INTELLIGENCE, 2024, 36 (06) :901-937