Title :
Day-ahead Generation Scheduling with Demand Response
Author :
Zhang, Li ; Zhao, Jianguo ; Han, Xueshan ; Niu, Lin
Author_Institution :
Sch. of Electr. Eng., Shandong Univ., Jinan
Abstract :
Demand response measure is very important to improve electricity market function. In order to maximize their profit, large industrial or commercial consumer prefers redistributing load between periods to reducing load absolutely in demand response program. Considering demand response in day-ahead generation scheduling then need to deal with more complicated coupling constraints. To solve the problem, a Lagrangian relaxation method combined with variable duplication technique is presented in this paper. Test is performed with a 10-unit system. Results show the effectiveness of the proposed approach, and also reveal what influence demand response has on the day-ahead market
Keywords :
demand side management; load distribution; power generation scheduling; power markets; relaxation theory; Lagrangian relaxation method; day-ahead generation scheduling; demand response; electricity market; load redistribution; profit maximization; Costs; Electric variables measurement; Electricity supply industry; Job shop scheduling; Lagrangian functions; Load management; Power generation; Power systems; Relaxation methods; System testing; Lagrangian relaxation method; demand response; electricity market; generation scheduling; variable duplication technique;
Conference_Titel :
Transmission and Distribution Conference and Exhibition: Asia and Pacific, 2005 IEEE/PES
Conference_Location :
Dalian
Print_ISBN :
0-7803-9114-4
DOI :
10.1109/TDC.2005.1547102
