Title :
The Multi-objective Medium and Short-term Trade Planning correction for Environmental Protection and Demand Response
Author :
Hou He-fei ; Liu Jun-Yong ; He Mai ; Wang Min-kun ; Liu Ying
Author_Institution :
Key Lab. of Smart Grid, Sichuan Univ., Chengdu, China
Abstract :
Traditional trading methods are based on the integrated optimization problems of economy and environmental protection, but do not consider the effects on demand-side. A revised model for medium and shortterm trade planning is presented in this paper. It firstly forecasts the industry electric quantity of peak, flat, valley monthly on the demand side using the parameter-modified grey model and consider the minimum of power purchase cost, environmental protection and the network loss to determine the generation Scheduling. With the fluctuation of electricity price, the price elasticity matrix computes the new industry electric quantity of peak, flat, valley monthly and gets the revision trade planning of the month. Then it gives the penalty cost, when the correction value reaches a certain level the electricity price will change with it, thus influence the trade planning by impact on the all-network power purchase cost. It can be used as an auxiliary decision-making for the trading center.
Keywords :
demand side management; environmental factors; power markets; auxiliary decision-making; demand response; environmental protection; industry electric quantity; integrated optimization problems; multiobjective medium; parameter-modified grey model; short-term trade planning correction; Costs; Economic forecasting; Fluctuations; Job shop scheduling; Load management; Optimization methods; Power generation; Predictive models; Processor scheduling; Protection;
Conference_Titel :
Power and Energy Engineering Conference (APPEEC), 2010 Asia-Pacific
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-4812-8
Electronic_ISBN :
978-1-4244-4813-5
DOI :
10.1109/APPEEC.2010.5448382