Title :
Home energy management optimizing models for residential demand response considering compound DES
Author :
Yanhua Liu ; Kaiyue Wu ; Dongmei Zhao
Author_Institution :
Sch. of Electr. & Electron. Eng., North China Electr. Power Univ., Beijing, China
Abstract :
In this paper, decision-making models of Home Energy Management are proposed to consider both the active control of DES and the passive load response to time of use and incentive measures. Thus, the optimal models are established to minimize electricity cost, or minimize peak-to-valley decline of electricity bills with constraints of electrical quantity, household appliances safety and consumers´ comfort both in time and space. Simulation of different optimization goals implemented by different control means such as DES, storage, and TOU price are obtained to represent economy and stability. Five models differing in incentive measures are simulated. The analytical result validates effectiveness of the proposed models´ and give guidance to configuration of a smart home and implementation of DR. And the simulation results quantitatively prove that DR and DES complement each other.
Keywords :
cost reduction; decision making; demand side management; energy management systems; minimisation; compound DES; decision-making models; electrical quantity; electricity cost minimization; home energy management optimizing models; passive load response; peak-to-valley decline minimization; residential demand response; Biological system modeling; Educational institutions; Electricity; Home appliances; Load management; Load modeling; Power systems; Demand response; Different optimization models; Distributed energy source; Electricity bill;
Conference_Titel :
Power System Technology (POWERCON), 2014 International Conference on
Conference_Location :
Chengdu
DOI :
10.1109/POWERCON.2014.6993816