Short-term peak shaving operation for multiple power grids with pumped storage power plants. (May 2015)

• Record Type: Journal Article
• Authors: Cheng, Chun-Tian; Cheng, Xiong; Shen, Jian-Jian; Wu, Xin-Yu
• Is Part Of: International journal of electrical power & energy systems. Volume 67(2015:May)
• Page Start: 570
• Page End: 581
• Publication Date: 2015-05
• Subjects: Pumped storage -- Peak shaving -- Multiple power grids -- Fuzzy sets; Electrical engineering -- Periodicals; Electric power systems -- Periodicals; Électrotechnique -- Périodiques; Réseaux électriques (Énergie) -- Périodiques; Electric power systems; Electrical engineering; Periodicals; 621.3
• DOI: 10.1016/j.ijepes.2014.12.043
• Languages: English
• ISSNs: 0142-0615

Abstract

Highlights: The study comes from the real demand of operations in Chinese regional power grids. An optimization model of peak shaving operation with PSPPs is developed. A three-step hybrid algorithm is proposed to solve the model. Our method can coordinate the operations of PSPPs to meet load demands of multiple provincial power grids. The results obtained from our method are more rational than the real data. Abstract: The East China Power Grid (ECPG) is the biggest regional power grid in China. It has the biggest installed capacity of pumped storage power plants (PSPPs) and is responsible to coordinate the operation of its five provincial power grids. A recent challenge of coordinating operations is using PSPPs to absorb surplus energy during off-peak periods and generate power during peak periods. Differing from the traditional operations of single power grids, however, the PSPPs are required to respond to load demands from multiple provincial power grids simultaneously. This paper develops a three-step hybrid algorithm for the day-ahead quarter-hourly schedules of PSPPs to meet load demands of multiple provincial power grids. A normalization method is first proposed to reconstruct a total load curve to deal with the load differences of multiple provincial power grids, and to reflect the effect of specified electricity contract ratio on multiple provincial power grids. Secondly, a heuristic search method is presented to determine the generating and pumping powers of PSPP. Thirdly, a combination optimization method is used to allocate the determined generating and pumping powers among multiple provincial power grids to smooth the individual remaining load curve for their thermal systems. Two case studies with greatly different load demands are used to test the proposed algorithm. The simulation results show that the presented method can effectively achieve the goal of shaving the peak load and filling the off-peak load for multiple provincial power grids.