The Research on the Planning of Distributed PV Systems in Connection with Urban Distribution Network

Abstract:

For the capacity and the location of the photovoltaic power generation in the urban distribution network, this paper adopts LSI(Loss sensitivity index) to determine the access to the location of photovoltaic power generation system. At the same time, we put forward a kind of multi-objective programming methods for the distribution network, which adopts three sorts of indices including LOI(Loss optimization index), EOI(Environmental optimization index) and VQI (Voltage quality index) as a multi-objective function. Therefore, an auxiliary search space is built in this paper to improve BPSO(binary particle swarm algorithm), in order to solve the complicated nonlinear optimization problem. And through the simulation verification IEEE-30, the simulation results show that this method can realize the optimization of distribution network system configuration.

• Periodical: Applied Mechanics and Materials (Volumes 672-674)
• Pages: 94-98
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.672-674.94
• Online since: October 2014
• Authors: Jing Wang*
• Keywords: Auxiliary Search Space, Binary Particle Swarm Algorithm (BPSO), LSI (Loss Sensitivity Index), Optimal Configuration, Urban Distribution Network

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