Title
Optimal PEM-FCPP operation considering detailed model based on artificial intelligence
Abstract
In this paper, a novel two-stage modification firefly Optimization algorithm (MFA) is proposed for the placement of Proton Exchange Membrane Fuel Cell Power Plants (PEM-FCPP) in distribution systems. FCPPs, as Distributed Generation (DG) units, can be taken into account as combined sources of Heat, Power, and Hydrogen (CHPH). The overall system efficiency can be improved by CHPH operation of FCPPs. Also, it will produce hydrogen which can be stored for the future use of FCPPs or can be sold to make a profit. The objective functions under investigation consist of the operating costs of electrical energy generation of distribution substations and FCPPs, the voltage deviation and the total emission. In this paper, only the placement of CHPH FCPPs is considered while investment cost of devices is not considered. Owing to the different, non-commensurable and nonlinear objectives, using conventional single-objective approaches makes difficulties to solve the problem. Other than that, the placement of FCPP in distribution systems is a mixed integer problem. Therefore, in order to overcome these problems, the firefly algorithm is utilized. In addition, a new two-stage modification is employed to search the problem area globally. Due to the multi-objective characteristic of the optimization, implementing the proposed MFA leads to obtain a set of solution in the problem instead of only one. The proposed algorithm is tested on a 69-bus distribution system to validate the effectiveness and impressiveness of the approach.
Year
DOI
Venue
2014
10.3233/IFS-141263
Journal of Intelligent and Fuzzy Systems
Keywords
Field
DocType
multi-objective optimization,fuel cell power plant,power and hydrogen,distributed generation,combined heat
Mathematical optimization,Nonlinear system,Voltage,Distribution system,Electric potential energy,Firefly algorithm,Multi-objective optimization,Distributed generation,Firefly protocol,Mathematics
Journal
Volume
Issue
ISSN
27
6
1064-1246
Citations 
PageRank 
References 
0
0.34
1
Authors
4
Name
Order
Citations
PageRank
Hadi Aghazadeh100.34
Alireza Zare200.34
Mohammad-Reza Akbari-Zadeh3708.29
Jafar Zare400.34