Journal of Ambient Intelligence and Humanized Computing, Year (2020-7)

Title : ( Optimal participation of demand response aggregators in reconfigurable distribution system considering photovoltaic and storage units )

Authors: Hossein Lotfi , Reza Ghazi ,

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Abstract

t Feeder reconfguration is an important operational process in power distribution grids, which is implemented to enhance the system’s performance by managing the switches. Given variations of the electricity price and load pattern in smart distribution networks, the operational problems of the distribution system are largely time-dependent and very complex. To deal with these temporal dependencies, it is important to extend the problem across diferent time intervals. Toward this end, a multi-objective optimization model is presented in this study for dynamic feeder reconfguration problem in the distribution system over multiple time intervals considering distributed generators, energy storage systems, and solar photovoltaic units. The demand response program including interruptible/curtailable service is proposed to enable energy consumers to rethink their energy consumption patterns based on incentive and punitive policies. The common objectives considered in the feeder reconfguration problem are power loss and voltage deviation which are important objectives for traditional distribution systems, but less attention has been paid to distribution network voltage security. This study considers operational cost, energy loss and voltage stability index as objective functions that can meet operational and voltage security expectations. Dynamic feeder reconfguration problem is a complex integer nonlinear program problem and hence it is difcult to solve which requires the use of appropriate optimization algorithms to converge to global optima or fnd close to global optima. In this paper, a modifed honey bee matting optimization algorithm based on the new mating mechanism is presented to solve the multi-objective dynamic feeder reconfguration problem. The proposed approach uses an eliminating zone concept to fnds a set of non-dominated solutions during the search process. Furthermore, a fuzzy decision-maker is adopted to select the best compromise solution among the non-dominated solutions. The suggested approach is tested on the IEEE 33-node and 136-node test systems and its superiorities are shown through comparison with other evolutionary algorithms.

Keywords

Keywords Distribution feeder reconfguration (DFR) · Demand response program (DRP) · Distributed generators (DGs) · Modifed honey be mating optimization (MHBMO)
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@article{paperid:1080678,
author = {حسین لطفی and Ghazi, Reza},
title = {Optimal participation of demand response aggregators in reconfigurable distribution system considering photovoltaic and storage units},
journal = {Journal of Ambient Intelligence and Humanized Computing},
year = {2020},
month = {July},
issn = {1868-5137},
keywords = {Keywords Distribution feeder reconfguration (DFR) · Demand response program (DRP) · Distributed generators (DGs) · Modifed honey be mating optimization (MHBMO)},
}

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%0 Journal Article
%T Optimal participation of demand response aggregators in reconfigurable distribution system considering photovoltaic and storage units
%A حسین لطفی
%A Ghazi, Reza
%J Journal of Ambient Intelligence and Humanized Computing
%@ 1868-5137
%D 2020

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