Optimal Control of Intelligent Electricity Consumption for Residential Customers Considering Demand Response. (July 2018)

• Record Type: Journal Article
• Authors: Qu, Xinyao; Hui, Hongxun; Ding, Yi; Luan, Kaining
• Is Part Of: Energy procedia. Volume 145(2018)
• Page Start: 510
• Page End: 515
• Publication Date: 2018-07
• Subjects: HEMS -- intelligent electricity consumption -- demand response -- optimal control; Power resources -- Congresses; Power resources -- Periodicals; Power resources; Conference proceedings; Periodicals; 333.7905
• DOI: 10.1016/j.egypro.2018.04.074
• Languages: English
• ISSNs: 1876-6102

Abstract

Abstract: The increasing power demand and the widening peak-valley differences bring more challenges to the power system. Moreover, the home energy management system (HEMS) becomes an effective way for residential customers to participate in demand response (DR). This paper classifies the smart appliances of residential customers and analyzes the electrical characteristics. An optimal control model is proposed to minimize customers' cost and decrease the peak-valley differences by day-ahead electricity prices and real-time incentive signals, whereas comfort is not affected. Several cases are studied to prove the effectiveness of the proposed method.