An improved particle swarm optimisation algorithm applied to battery sizing for stand-alone hybrid power systems

作者：Shang Ce^*; Srinivasan Dipti; Reindl Thomas

来源：International Journal of Electrical Power & Energy Systems, 2016, 74: 104-117.

DOI：10.1016/j.ijepes.2015.07.009

• Stand-alone
• Hybrid power system
• Storage
• Sizing
• Dispatch
• PSO

Stand-alone hybrid power systems with renewable energies are an economic alternative to the main electricity grid where the extension of the grid is too costly or the small local consumption would not justify it. Properly sizing the battery of the systems is an important step to guarantee their reliability and low cost. This paper accepts the dispatch-coupled sizing method by integrating the battery into the operation of the generation units in the system, and formulates this application problem using optimal control. Two major renewable energy sources - solar photovoltaic panels and wind turbines - are considered, together with traditional diesel generators. Penetration level is used as the lever to indicate the different integration degrees of renewables in the system. A particle swarm optimisation (PSO) algorithm is adapted and improved for this specific application. The numeric results of the system planning are benchmarked using an economic indicator, the levelised cost of electricity, to address the real-world system.

• 出版日期2016-1