Open AccessDemand response for indirect load control in smart grid using novel price modification algorithm
Author(s) -
Ismael Islam,
Saeed Mohammed,
Kaddah Sahar,
Abdelkader Sobhy
Publication year - 2019
Publication title -
iet renewable power generation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.005
H-Index - 76
eISSN - 1752-1424
pISSN - 1752-1416
DOI - 10.1049/iet-rpg.2018.5575
Subject(s) - demand response , smart grid , computer science , benchmark (surveying) , price elasticity of demand , load management , mathematical optimization , grid , peak demand , economics , engineering , electricity , microeconomics , mathematics , geometry , geodesy , electrical engineering , geography
This study presents a novel algorithm for reshaping the load demand profile of smart grid via modifying the price signal based on demand response principle. This modification in price is performed in a way that encourages customers to change their consumption pattern in order to achieve maximum saving. The proposed algorithm takes into consideration the customer willingness to participate in demand response, demand elasticity, price change limit, and comfort level of customers by determining a price signal, which maximises their saving when shifting their flexible load for certain limited hours and satisfying the daily energy consumption. The proposed method is formulated in a way, which avoids the problem of load synchronisation in which the maximum demand point is shifted to the point of lowest price. The proposed algorithm is applied to a typical benchmark of smart grid with residential, commercial, and industrial loads. The simulation results prove the success of the proposed algorithm for maximising customer saving and achieving the objective of energy management via a new consumption pattern.