Open AccessInvestigating effects of responsive loads models on unit commitment collaborated with demand‐side resources
Author(s) -
Rahmaniandebili Mehdi
Publication year - 2013
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2012.0552
Subject(s) - computer science , restructuring , mathematical optimization , operations research , demand response , order (exchange) , power system simulation , scheduling (production processes) , price elasticity of demand , reliability engineering , operations management , microeconomics , economics , engineering , mathematics , electric power system , power (physics) , physics , electricity , electrical engineering , finance , quantum mechanics
Demand‐side management (DSM) has been introduced as the first choice in all energy policy decisions because of its potential benefits at operation and economic levels. After restructuring, the DSM programs were expanded to include demand response programs (DRPs). In this study, in order to solve generation scheduling problem, demand‐side resources (DSRs) are linked to supply‐side resources (SSRs) and the DRPs are intelligently implemented by ISO with the aim of minimising the total cost of unit commitment (UC) problem (UCDSR). In order to investigate the effects of connection of DSRs to the SSRs on the UCDSR problem, some of the most important voluntary DRPs are considered and also in order to investigate the effect of responsive loads models on the UCDSR problem, linear and non‐linear models of responsive loads such as potential, exponential, and logarithmic models are considered and implemented. In this study, the economic models of responsive loads are derived based on price elasticity of demand and consumers’ surplus function. The proposed method is intelligently applied on a ten‐unit system to determine the best scheme for implementing DRPs and commitment status of units. It is shown that obtaining the minimum cost for system using an unsuitable scheme of DRPs or unreal model for responsive loads is not possible.