Multi-objective optimization of hybrid renewable energy system using reformed electric system cascade analysis for islanding and grid connected modes of operation
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Date
Authors
Singh, Ranjay
Bansal, Ramesh C.
Singh, Arvind R.
Naidoo, Raj
Journal Title
Journal ISSN
Volume Title
Publisher
Institute of Electrical and Electronics Engineers
Abstract
This paper presents a new methodology of Reformed Electric System Cascade Analysis (RESCA) for
optimization of Hybrid Renewable Energy System (HRES) with Wind Energy Conversion System (WECS), PV system,
Battery Energy Storage System (BESS), Non-Intermittent Source (NIS) and grid as system components. Four different
configurations of HRES in islanding and grid-connected mode is considered for analysis. The four configurations of HRES is
optimized using RESCA with constraints such as Final Excess Energy (FEE), Renewable Energy Fraction (REF), Energy
Generation Ratio (EGR), Loss of Power Supply Probability (LPSP) and Annual System Cost (ASC). The optimization is
realized for a residential load in Newark, USA consisting of 100 households with a daily consumption of 30 kWh for each
house. The paper successfully presents the application of the RESCA methodology for the optimization of HRES based on
reliability and economic constraints for both isolated and grid connected mode of applications.
Description
Keywords
Hybrid power systems, Renewable energy sources, Wind energy, Solar energy, Energy storage, Optimization methods, Iterative algorithm, Generators, Islanding, Iterative reliability, Distributed power generation, Electric power systems, Energy conversion, Gas generators, Multi-objective optimization, Natural resources, Solar power generation, Wind power, Electric power transmission networks
Sustainable Development Goals
Citation
Singh, R., Bansal, R.C., Singh, A.R. & Naidoo, R. 2018, 'Multi-objective optimization of hybrid renewable energy system using reformed electric system cascade analysis for islanding and grid connected modes of operation', IEEE Access, vol. 6, pp. 47332 - 47354.