Multi-Objective Optimization of Hybrid Renewable Energy System Using Reformed Electric System Cascade Analysis for Islanding and Grid Connected Modes of Operation | Zendy

Ranjay Singh | Zendy; Ramesh C. Bansal | Zendy; Arvind R. Singh | Zendy; Raj Naidoo | Zendy

Open Access

Multi-Objective Optimization of Hybrid Renewable Energy System Using Reformed Electric System Cascade Analysis for Islanding and Grid Connected Modes of Operation

Author(s) -

Ranjay Singh,

Ramesh C. Bansal,

Arvind R. Singh,

Raj Naidoo

Publication year - 2018

Publication title -

ieee access

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.587

H-Index - 127

ISSN - 2169-3536

DOI - 10.1109/access.2018.2867276

Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation

This paper presents a new methodology of reformed electric system cascade analysis (RESCA) for the optimization of hybrid renewable energy system (HRES) with wind energy conversion system, PV system, battery energy storage system, non-intermittent source, 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, renewable energy fraction, energy generation ratio, loss of power supply probability, 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.

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