Research on Two-Stage Regulation Method for Source–Load Flexibility Transformation in Power Systems

Chunyang Hao, Yibo Wang (), Chuang Liu, Guanglie Zhang, Hao Yu, Dongzhe Wang and Jingru Shang
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Chunyang Hao: School of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China
Yibo Wang: School of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China
Chuang Liu: School of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China
Guanglie Zhang: School of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China
Hao Yu: School of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China
Dongzhe Wang: School of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China
Jingru Shang: School of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China

Sustainability, 2023, vol. 15, issue 18, 1-23

Abstract: Under the premise of continuously increasing the grid-connected capacity of new energy, the fluctuation and anti-peak shaving characteristics of wind power have always constrained the development of green power systems. Considering the characteristics of power system flexibility resources, this paper introduces a two-stage regulation approach for power systems with enhanced source–load flexibility. In the day-ahead stage, an advanced peak regulation transformation is employed, leveraging the combined heat storage device of conventional thermal power units to enhance their peak regulation capability. Additionally, the Energy Intensive Load (EIL) is integrated into the regulation system. A two-level coordinated optimization model is developed, incorporating wind power integration and dispatching power allocation, with the aim of optimizing wind power integration and achieving the optimal allocation of dispatching power. In the intra-day stage, the connection of wind plants and energy storage devices is utilized to minimize the wind power fluctuations and improve the control ability over wind power variations. Compared with traditional methods, the wind power consumption in Scenario 1 and Scenario 2 increases by 2741.1 MW/h and 2478.5 MW/h respectively. Furthermore, the inclusion of an energy storage device in the intra-day stage significantly reduces the wind power fluctuations, maintaining a stable fluctuation rate within ±1%. Therefore, this method can effectively improve the level of wind power consumption and reduce the impact of real-time fluctuations on the power system.

Keywords: flexibility; two-stage regulation; wind power; two-level model (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (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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