A Compound Coordinated Optimal Operation Strategy of Day-Ahead-Rolling-Realtime in Integrated Energy System

Zhibin Liu, Feng Guo, Jiaqi Liu, Xinyan Lin, Ao Li, Zhaoyan Zhang and Zhiheng Liu
Additional contact information
Zhibin Liu: College of Electronic Information Engineering, Hebei University, Baoding 071002, China
Feng Guo: Hebei Electric Vehicle Charging Technology Innovation Center, Langfang 065000, China
Jiaqi Liu: Hebei Electric Vehicle Charging Technology Innovation Center, Langfang 065000, China
Xinyan Lin: Hebei Electric Vehicle Charging Technology Innovation Center, Langfang 065000, China
Ao Li: Hebei Electric Vehicle Charging Technology Innovation Center, Langfang 065000, China
Zhaoyan Zhang: College of Electronic Information Engineering, Hebei University, Baoding 071002, China
Zhiheng Liu: College of Electronic Information Engineering, Hebei University, Baoding 071002, China

Energies, 2023, vol. 16, issue 1, 1-19

Abstract: Aiming at the impact of the uncertainty of source load on the optimal scheduling in an integrated energy system (IES), in this paper, based on hybrid resolution modeling and hybrid instruction cycle scheduling technology, three time scales of day-ahead, intra-day rolling and real-time feedback optimization scheduling models are established, respectively, with the objectives of the economic optimal daily operation of the system, the minimum sum of the operation cost of energy purchase and wind curtailment penalty cost in the rolling control time domain, and the minimum adjustment amount of equipment output power. Then, the chaotic gravitational search algorithm (CGSA) is used to solve the problem, and the composite coordination optimization operation strategy of IES with mixed time scales based on CGSA is proposed. In the example, the comparison between the multi-timescale scheduling plan and the actual output, the comparison of the system scheduling results under different strategies and the comparison of different optimization algorithms show that the proposed optimization operation strategy is beneficial to optimize the energy flow distribution, reduce the system operation cost, improve the IES economy and optimization speed.

Keywords: day-ahead-rolling-realtime; collaborative optimization; operation cost; chaotic gravitation search algorithm (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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