A Time-Series Decomposition Algorithm for Long-Term Security-Constrained Unit Commitment Considering Energy Storage System

Abstract

AbstractWith the increase of load and the penetration of renewable energy in the new power system, the change of power structure and the enhancement of randomness put forward higher requirements for power system scheduling. In order to make full use of renewable energy and provide power system scheduling quickly and accurately, this paper proposes a time-series decomposition algorithm of long-term security-constrained unit commitment (SCUC) including energy storage system (ESS). According to the operating characteristics of ESS, the SCUC model with ESS is established. Then, in order to make full use of the parallel computing power of the computer and improve the calculation speed, this paper presents an algorithm to decouple the long-term SCUC model into several short-term SCUC problems that can be solved in parallel according to the time series. The analytical target cascading (ATC) algorithm is used to coordinate each subproblem and correct the coupling relationship between adjacent subproblems. The proposed method is tested on modified XJTU-ROTS2017 testing system. Case studies show that the algorithm can effectively improve the calculation speed and accuracy of long-term SCUC problem.KeywordsSCUCTime-series decompositionEnergy storage systemATC