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Global Optimization Algorithm to Solve Economic Load Dispatch Problem Considering Equality and Inequality Constraints

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Innovations in Electrical and Electronics Engineering

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 626))

Abstract

This paper proposes a novel technique to solve various problems related to economic load dispatch. So far, lot of algorithms has been developed in order to obtain the optimal solution for the various problems related to ED. They are meta-heuristic in nature and exhibit their quality in terms of fuel cost reduction and computational time. The technique proposed in this article generates feasible solution than other algorithms. The efficacy of the proposed technique is proved by selecting various IEEE test systems involving 3, 6, 15, 40 generators which are analyzed and the results obtained are compared with recently reported algorithms. The obtained result shows that the proposed approach is efficient in producing lesser fuel cost and acts as an alternative algorithm to solve the ED problems in practical power systems.

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Arumugam, P., Rajendran, A. (2020). Global Optimization Algorithm to Solve Economic Load Dispatch Problem Considering Equality and Inequality Constraints. In: Saini, H., Srinivas, T., Vinod Kumar, D., Chandragupta Mauryan, K. (eds) Innovations in Electrical and Electronics Engineering. Lecture Notes in Electrical Engineering, vol 626. Springer, Singapore. https://doi.org/10.1007/978-981-15-2256-7_37

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  • DOI: https://doi.org/10.1007/978-981-15-2256-7_37

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  • Print ISBN: 978-981-15-2255-0

  • Online ISBN: 978-981-15-2256-7

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