作者: Ebrahim Farjah , Mosayeb Bornapour , Taher Niknam , Bahman Bahmanifirouzi
DOI: 10.3390/EN5030790
关键词:
摘要: This paper presents a new Fuzzy Adaptive Modified Particle Swarm Optimization algorithm (FAMPSO) for the placement of Fuel Cell Power Plants (FCPPs) in distribution systems. FCPPs, as Distributed Generation (DG) units, can be considered Combined sources Heat, Power, and Hydrogen (CHPH). CHPH operation FCPPs improve overall system efficiency, well produce hydrogen which stored future use or sold profit. The objective functions investigated are minimizing operating costs electrical energy generation substations voltage deviation total emission. In this regard, just considers while investment cost devices is not considered. Considering fact that objectives different, non-commensurable nonlinear, it difficult to solve problem using conventional approaches may optimize single objective. Moreover, systems mixed integer problem. Therefore, uses FAMPSO overcome these problems. For solving proposed multi-objective problem, utilizes Pareto Optimality idea obtain set solution instead only one. Also, fuzzy used tune parameters such inertia weight. efficacy approach validated on 69-bus system.