Social group entropy optimization for day-ahead heat and power scheduling of an isolated microgrid. Issue 7 (3rd July 2022)

• Record Type: Journal Article
• Authors: Basu, Subhamay; Basu, Mousumi
• Is Part Of: Engineering optimization. Volume 54:Issue 7(2022)
• Page Start: 1193
• Page End: 1216
• Publication Date: 2022-07-03
• Subjects: Social group entropy optimization -- biomass-fuel-fired combined heat and power units -- plug-in electric vehicles -- mini-hydro plant -- wind turbine generator; Engineering design -- Periodicals; Mathematical optimization -- Periodicals; 620.0042
• DOI: 10.1080/0305215X.2021.1919099
• Languages: English
• ISSNs: 0305-215X

Abstract

Abstract : This article presents day-in-advance microgrid heat and electric power scheduling with and without demand-side management. The objective is to minimize the cost of heat and electric power generation, considering solar and wind power uncertainty. This scheduling problem is solved using a social group entropy optimization (SGEO) technique. The proposed microgrid comprises diesel generators, biomass-fuel-fired combined heat and power (BCHP) units, mini-hydro power plants, solar photovoltaic plants, wind turbine generators (WTGs), a hydrogen storage system (HSS) and plug-in electric vehicles (PEVs). A system with three diesel generators, three BCHP units, one mini-hydro power plant, two WTGs, two solar photovoltaic plants, one HSS and PEVs is studied to evaluate the suggested SGEO technique. Test results of the proposed SGEO technique are compared with those from self-organizing hierarchical particle swarm optimization with time-varying acceleration coefficients, fast convergence evolutionary programming and differential evolution, and the recommended SGEO is shown to produce superior results.