Efficient control and multi‐criteria energy scheduling of renewable‐based utility grid via pareto‐metaheuristic optimizers

Abstract

Being a renewable influenced utility grid, the wind integrated hydrothermal system (WHTS) is considered as a future-proof and contemporary energy system to reduce the dependency on depleting fossil fuels. However, due to intermittent nature of wind energy and complex operational constraints, offering the day-ahead operation schedule of WHTS with joint awareness of fuel economy and emissions is classified as a complicated multiobjective optimization problem. The major challenge is to maximize the utilization of clean hydro power to accommodate uncertain wind energy together with reduced dependency on fossils based thermal power. In this context, the paper devises an efficient control and multi-criteria energy scheduling method, essentially comprised of adaptive repair and volume restriction to maximize the utilization of available hydro power. The paretometaheuristic optimizer based on non-dominated sorting is exploited for the day-ahead scheduling of WHTS based utility grid. The most appropriate solution from pareto-optimal archive is selected using fuzzy-ranking index. The expected reductions in fuel cost and emissions are reflected using a significant probability scheme. The effectiveness of the proposed approach based on pareto-metaheuristic is appraised by various case studies. The simulation results provide a suitable day-ahead generation schedule of WHTS based grid, considering both economics and environmental aspects.

Robust control for techno‐economic efficient energy management of fuel cell hybrid electric vehicles

“…Farajdadian et al [31] have employed metaheuristic techniques for tuning a MPPT fuzzy controller for PV system. Recently, optimization algorithms such as bacteria foraging optimization (BFO) [32], crowded plant height optimization (CPHO) [33], GWO [49] and pareto-water cycle algorithm (p-WCA) [34] have been involved in power system optimization for control scheduling and maximum power tracking purposes respectively.…”