Shaorong Wang

TL;DR: In this paper, a gird-isolated hybrid renewable energy system for electrification of agriculture and irrigation area in Dongola, Sudan is proposed, which combines a systematic and integrative framework combined with techno-economic optimization analysis for adequate planning and design of hybrid renewable energies system.

TL;DR: A systematic and integrative decision-making approach for efficient planning and assessment of hybrid renewable energy-based microgrid systems and reveals that solar, wind, fuel cell show optimal configuration plan that yields a minimum net present and energy costs.

TL;DR: A combination of phasor particle swarm optimization (PPSO) and a gravitational search algorithm, namely a hybrid PPSOGSA algorithm, for optimal power flow (OPF) in power systems with an integrated wind turbine and solar photovoltaic generators.

TL;DR: A novel methodology to solve the problem of RES-DGs planning optimization based on improved Harris Hawks Optimizer (HHO) using Particle Swarm Optimization (PSO), which maximizes the techno-economic benefits of the distribution systems for all considered cases and scenarios is proposed.

TL;DR: A techno-economic analysis with an optimized sizing of a hybrid renewable energy system (HRES) components to meet the residential load demand of a specific area in Pakistan and the optimal component sizes were determined.