سیویلیکا را در شبکه های اجتماعی دنبال نمایید.

Demand Side Management Of Household Appliances in a Smart Residential Microgrid Using Particle Swarm Optimization Algorithm

Publish Year: 1394
Type: Conference paper
Language: English
View: 824

This Paper With 11 Page And PDF Format Ready To Download

Export:

Link to this Paper:

Document National Code:

ECOSE02_012

Index date: 19 February 2016

Demand Side Management Of Household Appliances in a Smart Residential Microgrid Using Particle Swarm Optimization Algorithm abstract

Smart grid has brought many benefits for both utility companies and electricity customers through various demand side management programs. In this paper a new DSM program based on load shifting and dynamic pricing foR electricity consumption for controllable appliances is proposed. The main objective of proposed algorithm is to reduce load peak demand an also electricity bill with respect to the customers’ welfare. The objective load curve is choseninversely proportional to the wholesale electricity price in the residential area. In order to have an optimized load curve pattern,particle swarm optimization (PSO) algorithm is applied to the proposed DSM technique. The results show that a magnificent save in power production andtherefore electricity bill can be achieved with a proper demand management with no interfere in customers’ welfare

Demand Side Management Of Household Appliances in a Smart Residential Microgrid Using Particle Swarm Optimization Algorithm Keywords:

Demand Side Management Of Household Appliances in a Smart Residential Microgrid Using Particle Swarm Optimization Algorithm authors

Mohammad Hasan Hashemi

Master of Science Student Department of Electrical Engineering, Zanjan Branch, Islamic AzadUniversity, Zanjan, Iran

Majid Moradlou

Assistant Professor, Department of Electrical Engineering, Zanjan Branch, Islamic Azad University, Zanjan, Iran

Mehdi Bigdeli

Assistant Professor Department of Electrical Engineering, Zanjan Branch, Islamic Azad University, Zanjan, Iran