MOSHEPO: a hybrid multi-objective approach to solve economic load dispatch and micro grid problems

This paper proposes a novel hybrid multi-objective algorithm named Multi-objective Spotted Hyena and Emperor Penguin Optimizer (MOSHEPO) for solving both convex and non-convex economic dispatch and micro grid power dispatch problems. The proposed algorithm combines two newly developed bio-inspired o...

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Vydáno v:Applied intelligence (Dordrecht, Netherlands) Ročník 50; číslo 1; s. 119 - 137
Hlavní autor: Dhiman, Gaurav
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York Springer US 01.01.2020
Springer Nature B.V
Témata:
Algorithms
Artificial Intelligence
Computer Science
Economics
Machines
Manufacturing
Mechanical Engineering
Multiple objective analysis
Optimization
Power dispatch
Processes
Prohibited operating zones
Transmission loss
Micro grid
Multi-objective optimization
Economic dispatch
Emperor penguin optimizer
Spotted hyena optimizer
ISSN:0924-669X, 1573-7497
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Shrnutí:This paper proposes a novel hybrid multi-objective algorithm named Multi-objective Spotted Hyena and Emperor Penguin Optimizer (MOSHEPO) for solving both convex and non-convex economic dispatch and micro grid power dispatch problems. The proposed algorithm combines two newly developed bio-inspired optimization algorithms namely Multi-objective Spotted Hyena Optimizer (MOSHO) and Emperor Penguin Optimizer (EPO). MOSHEPO contemplates many non-linear characteristics of power generators such as transmission losses, multiple fuels, valve-point loading, and prohibited operating zones along with their operational constraints, for practical operation. To evaluate the effectiveness of MOSHEPO, the proposed algorithm has been tested on various benchmark test systems and its performance is compared with other well-known approaches. The experimental results demonstrate that the proposed algorithm outperforms other algorithms with low computational efforts while solving economic and micro grid power dispatch problems.
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ISSN:0924-669X
1573-7497
DOI:10.1007/s10489-019-01522-4