Interactive multi-objective active power scheduling considering uncertain renewable energies using adaptive chaos clonal evolutionary programming

Ying-Yi Hong and Jie-Kai Lin

Energy, 2013, vol. 53, issue C, 212-220

Abstract: A stand-alone power system is an independent system that comprises micro-turbines, diesel generators, a wind park, solar photovoltaic (PV) modules and/or energy storages, etc. This paper presents a new method for dealing with the short-term active power scheduling of a stand-alone system. The fuel cost of diesel units and CO2 emission are minimized and all operation constraints are satisfied. The maximum wind and solar PV powers with uncertainties are modeled using fuzzy sets. Adaptive chaos clonal evolutionary programming (ACCEP) is employed to solve this problem, which is formulated as an interactive multi-objective problem. Different degrees of fuzziness, preferred reference levels, and priority list for diesel generators are discussed. Simulation results show the applicability of the proposed method.

Keywords: Multi-objective; Distributed generation; Renewable energy; Generation scheduling; Fuzzy set; Chaotic optimization (search for similar items in EconPapers)
Date: 2013
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (18)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:53:y:2013:i:c:p:212-220

DOI: 10.1016/j.energy.2013.02.070

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