Optimal solution for hydro-thermal-wind-solar scheduling using opposition-based whale optimization algorithm

Chandan Paul

doi:10.1007/s00500-023-09315-1

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Optimal solution for hydro-thermal-wind-solar scheduling using opposition-based whale optimization algorithm

2023-11-25

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Chandan Paul *

Provas Kumar Roy

Mukherjee, V.

DOI：10.1007/s00500-023-09315-1

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Abstract

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In the current research scenario, sincere effort has been taken worldwide to explore the use of renewable energy sources in electrical power system for the economic benefits and environmental consciousness. In this work, a relatively published new population-based optimization technique, called opposition-based whale optimization algorithm (WOA) (OWOA) having the ability to enhance the local search and speeding up the convergence speed of the solution, has been implemented to analyse the wind- and solar-based hydro-thermal scheduling with transmission losses. The main purpose of this work is to minimize the generation cost as well as emission by optimally scheduling the generation on hourly basis. This newly developed algorithm is initially tested on benchmark functions (high-dimensional complex problems) to establish the optimization capability of the algorithm as compared to the basic WOA counterpart. This optimization technique has the ability to handle the nonlinearity due to the presence of valve point loading in thermal power plant and the uncertainty of wind and solar for wind and solar-based power plant in practical situation. The proposed OWOA and the basic WOA are tested on hydro-thermal scheduling (HTS) and, finally, on HTS with wind and solar. The obtained results show that the generation cost and emission decrease with the incorporation of wind and solar in HTS system. Furthermore, the obtained results from OWOA for cost as well as emission minimization are compared with the WOA, grey wolf optimization (GWO), differential evolution (DE), quantum-inspired evolutionary algorithm (QEA), small population-based particle swarm optimization (SPSO), fuzzy-based evolutionary programming (Fuzzy EP), sine cosine algorithm (SCA) and backtracking search algorithm (BSA) for various cases to verify robustness of the proposed algorithm.

Keywords:

Hydro-thermal scheduling (HTS)

Hydro-thermal-wind-solar scheduling (HTWSS)

Opposition-based whale optimization algorithm (OWOA)

Solar energy

Wind energy