A Robust Optimization Approach for Optimal Power Flow Solutions Using Rao Algorithms

Saket Gupta, Narendra Kumar, Laxmi Srivastava, Hasmat Malik, Amjad Anvari-Moghaddam and Fausto Pedro García Márquez
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Saket Gupta: Electrical Engineering Department, Delhi Technological University, Delhi 110042, India
Narendra Kumar: Electrical Engineering Department, Delhi Technological University, Delhi 110042, India
Laxmi Srivastava: Electrical Engineering Department, Madhav Institute of Technology & Science, Gwalior 474005, India
Hasmat Malik: Berkeley Education Alliance for Research in Singapore (BEARS), University Town, NUS Campus, Singapore 138602, Singapore
Amjad Anvari-Moghaddam: Department of Energy (AAU Energy), Aalborg University, 9220 Aalborg, Denmark
Fausto Pedro García Márquez: Ingenium Research Group, Universidad Castilla-La Mancha, 13071 Ciudad Real, Spain

Energies, 2021, vol. 14, issue 17, 1-28

Abstract: This paper offers three easy-to-use metaphor-less optimization algorithms proposed by Rao to solve the optimal power flow (OPF) problem. Rao algorithms are parameter-less optimization algorithms. As a result, algorithm-specific parameter tuning is not required at all. This quality makes these algorithms simple to use and able to solve various kinds of complex constrained optimization and engineering problems. In this paper, the main aim to solve the OPF problem is to find the optimal values of the control variables in a given electrical network for fuel cost minimization, real power losses minimization, emission cost minimization, voltage profile improvement, and voltage stability enhancement, while all the operating constraints are satisfied. To demonstrate the efficacy of Rao algorithms, these algorithms have been employed in three standard IEEE test systems (30-bus, 57-bus, and 118-bus) to solve the OPF problem. The OPF results of Rao algorithms and the results provided by other swarm intelligence (SI)/evolutionary computing (EC)-based algorithms published in recent literature have been compared. Based on the outcomes, Rao algorithms are found to be robust and superior to their competitors.

Keywords: fuel cost; optimal power flow; power losses; voltage stability; voltage profile; emission (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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