Cost and Comfort Based Optimization of Residential Load in Smart Grid

Autor:	Fahim Ahmed, Nadeem Javaid, Zahoor Ali Khan, Malik Ali Judge, Fozia Feroze, Awais Manzoor
Rok vydání:	2017
Předmět:	Reduction (complexity) Mathematical optimization Smart grid Job shop scheduling Heuristic (computer science) business.industry Computer science Genetic algorithm Maximization Electricity Minification business
Zdroj:	Advances in Internetworking, Data & Web Technologies ISBN: 9783319594620 EIDWT
Popis:	In smart grid, several optimization techniques are developed for residential load scheduling purpose. Preliminary all the conventional techniques aimed at minimizing the electricity consumption cost. This paper mainly focuses on minimization of electricity cost and maximization of user comfort along with the reduction of peak power consumption. We develop a multi-residential load scheduling algorithm based on two heuristic optimization techniques: genetic algorithm and binary particle swarm optimization. The day-ahead pricing mechanism is used for this scheduling problem. The simulation results validate that the proposed model has achieved substantial savings in electricity bills with maximum user comfort. Moreover, results also show the reduction in peak power consumption. We analyzed that user comfort has significant effect on electricity consumption cost.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::c9a023e1088aa18df20886fea2f364d2 https://doi.org/10.1007/978-3-319-59463-7_56 Zobrazit plný text záznamu