2015Unpublished venueRequires access

A cooperative demand response program for smart grids

Abolfazl Salami, Mohammad Farsi

Open publisher page 3 citations

Abstract

Demand response as a demand side management program, can be a solution for providing the electrical power at peak times. In this paper an effective demand response program is proposed that not only reduces the consumer bill costs and demand peak, but also increases the utility benefit. According to use different method of demand response use, different results are obtained that can be either useful for cost saving or peak reduction. Produced structures by proposed demand response method are optimized by differential evolution algorithm. Simulation results for proposed structures are presented and an executive comparison for these results is done.

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What this paper is about

Demand response as a demand side management program, can be a solution for providing the electrical power at peak times. In this paper an effective demand response program is proposed that not only reduces the consumer bill costs and demand peak, but also increases the utility benefit. According to use different method of demand response use, different results are obtained that can be either useful for cost saving or peak reduction. Produced structures by proposed demand response method are optimized by differential evolution algorithm. Simulation results for proposed structures are presented and an executive comparison for these results is done.

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Available abstract

Demand response as a demand side management program, can be a solution for providing the electrical power at peak times. In this paper an effective demand response program is proposed that not only reduces the consumer bill costs and demand peak, but also increases the utility benefit. According to use different method of demand response use, different results are obtained that can be either useful for cost saving or peak reduction. Produced structures by proposed demand response method are optimized by differential evolution algorithm. Simulation results for proposed structures are presented and an executive comparison for these results is done.

Key concepts: Demand response, Peak demand, Load management, Computer science, Smart grid, On demand, Dynamic demand, Power demand

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