NDLI: A Modified Honey Bee Mating Optimization Algorithm for Multi-objective Voltage Control of Distributed Hybrid Wind and Pv Systems

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A Modified Honey Bee Mating Optimization Algorithm for Multi-objective Voltage Control of Distributed Hybrid Wind and Pv Systems

Content Provider	Semantic Scholar
Author	Li-Zhen, Wu Hao, Xiaohong
Copyright Year	2013
Abstract	Recently, Distribute Generation sources (DGs) connected to the distribution network has received increasing attention. The daily voltage control is one of the most important schemes in distribution networks, which can be affected by DGs. This paper presents a multi-objective Voltage optimizes control modeling, including objectives that are the total cost of power generated by Wind Farms (WFs) and Photovoltaic (PV) pants and the grid; the total electrical energy losses; the total emission and the voltage deviations of the bus. Moreover, a new optimization algorithm based on Modified Honey Bee Mating Optimization (MHBMO) algorithm is proposed to determine the best operating point for the active power generated by WFs and PVs, reactive power values of capacitors. In order to overcome the shortcomings of original HBMO algorithm, the mating process is improved. During the optimization process, the proposed algorithm finds a set of non-dominated (Pareto) optimal solutions which are stored in an external memory called repository. Also a fuzzy clustering technique is used to control the size of the repository within the limits. Finally, a typical IEEE 32-bus distribution test system is used to investigate the feasibility and effectiveness of the proposed method. Simulation results illustrate the correctness and adaptability of the proposed model and the MHBMO algorithm.
File Format	PDF HTM / HTML
Alternate Webpage(s)	http://www.jatit.org/volumes/Vol47No3/41Vol47No3.pdf
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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