What is it about?
Chaotic whale optimization algorithm (WOA) (CWOA) is a metaheuristic real parameter optimization algorithm. The present study appears to be well capable of providing a solution to the transient stability constrained optimal power flow (OPF) (TSCOPF) problem of the power system. Basically, TSCOPF problem is the extended study of conventional OPF problem while additionally, considering transient stability constraints along with other previously considered equality and inequality constraints of the conventional OPF problem. Here, CWOA algorithm is validated by choosing two test power systems viz. (a) New England 10-generator, 39-bus and (b) 17-generator, 162-bus test systems. Considering multiple contingency cases, the main objective of the proposed algorithm is the minimization of the total fuel cost of these two test systems. Simulation test results, as obtained from the proposed CWOA, are compared to the results offered by some other evolutionary optimization techniques surfaced in the recent state-of-the-art literature. The results presented in this paper indicate that the proposed algorithm shows its efficacy over other recently originated popular optimization techniques (including basic WOA) in terms of extending the potential of offering higher quality solutions, effectiveness, and faster convergence speed.
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Why is it important?
In this work, chaos based WOA algorithm is proposed for TSCOPF problem of power system considering multiple contingencies. The proposed algorithm is tested on two different test power systems. Simulation results, as yielded by the proposed CWOA, are compared to other prevailing algorithms surfaced in the recent literature. Basic WOA based results are also studied and included in the present work. From the experimental test results, it may be confirmed that with the presence of chaotic variables in the basic WOA method, improvement in the convergence profile has been noted and the transient performance of the power system is improved as a consequence of balanced trade-off between exploration and exploitation.
Perspectives
It may be concluded that CWOA is a very much promising technique that has the capability to converge to the better quality solution and may become a very anticipating tool for the future researchers to solve different other practical complex engineering problems. Dynamic stability constraints may be included in the studied model by the future researchers.
Dharmbir Prasad
Asansol Engineering College
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This page is a summary of: Application of chaotic whale optimisation algorithm for transient stability constrained optimal power flow , IET Science Measurement & Technology, July 2017, the Institution of Engineering and Technology (the IET),
DOI: 10.1049/iet-smt.2017.0015.
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