Preprint Article Version 1 This version is not peer-reviewed

Application of Demand Response Strategy in Optimal Configuration of a Standalone Wind-Solar-Battery System

Version 1 : Received: 22 April 2018 / Approved: 24 April 2018 / Online: 24 April 2018 (04:05:05 CEST)

How to cite: Yuan, X.; Huang, B.; Xu, J.; Liu, H.; Yao, Q. Application of Demand Response Strategy in Optimal Configuration of a Standalone Wind-Solar-Battery System. Preprints 2018, 2018040303 (doi: 10.20944/preprints201804.0303.v1). Yuan, X.; Huang, B.; Xu, J.; Liu, H.; Yao, Q. Application of Demand Response Strategy in Optimal Configuration of a Standalone Wind-Solar-Battery System. Preprints 2018, 2018040303 (doi: 10.20944/preprints201804.0303.v1).

Abstract

This study presents application of demand response strategy in a standalone wind-solar-battery hybrid energy system (HES). Inputs for the designed HES are wind speed, solar radiation, temperature and load demand which is variable with time. In this study, hourly values of meteorological data and hourly load demand are considered in one year. An improved gravitational search algorithm (IGSA) is used to optimize the configuration of the standalone wind-solar-battery hybrid power system. The optimal objectives of the system are cost of the system in life cycle, the loss of power supply probability(LPSP)and the energy excess percentage(EXC).The effect of demand response on economic benefit and energy storage allocation of the standalone wind-solar-battery system is studied. The obtained optimal configuration of the proposed HES can provide minimal energy cost with excellent performance and reduced waste and unmet load.

Subject Areas

multi-objective optimization; optimal configuration; improved gravitational search algorithm (IGSA); wind-solar-battery system; demand response

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