Title: Optimal configuration of hybrid PV/wind distributed generation using improved particle swarm optimisation
Authors: Guohan Lin; Jing Zhang
College of Electrical and Information Engineering, Hunan University, Hunan, Changsha, China; College of Electrical and Information, Hunan Institute of Engineering, Hunan, Xiangtan, China
College of Electrical and Information Engineering, Hunan University, Hunan, Changsha, China
Abstract: Stand-alone hybrid photovoltaic (PV)/wind power supply system is an effective solution to provide power to areas that are located far from the electrical power grid. To efficiently and economically utilise renewable energy resources of wind and solar, the optimum configuration is very important for hybrid PV/wind power supply system. Considering the loss of power supply probability (LPSP) and percentage of energy excess as penalty function, the economic model of optimal configuration was built with the objective that takes annual equipment cost, operating and maintenance cost, and replacement cost into account. The meteorological data including wind speed, solar radiation and temperature were input. An improved particle swarm optimisation (IPSO) method is used to find the best configuration of the system. The results show that the IPSO can comprehensively evaluate the economy efficiency of wind, solar and battery, and reduce redundant investment to satisfy customer's diversification of reliability requirements according to meteorological conditions.
Keywords: stand-alone storage systems; hybrid storage systems; wind-solar storage systems; particle swarm optimisation; PSO; energy storage; reliability; aggregation degree; distributed generation; wind energy; wind power; solar energy; solar power; photovoltaics; renewable energy; economic modelling; equipment costs; operating costs; maintenance costs; replacement costs; meteorological data; wind speed; solar radiation; temperature.
Int. J. of Wireless and Mobile Computing, 2015 Vol.9, No.3, pp.281 - 289
Submission date: 11 Jun 2015
Date of acceptance: 03 Jul 2015
Available online: 18 Nov 2015