Dynamic Equivalent Model Considering Multiple Induction Motors for System Frequency Response

Zhen Tang, Guoxing Mu, Jie Pan, Zhiwei Xue, Hong Yang, Mingyang Mei, Zhihao Zhang and Peng Kou ()
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Zhen Tang: State Grid Shanxi Electric Power Research Institute, Taiyuan 030001, China
Guoxing Mu: Dispatch and Control Center, State Grid Shanxi Electric Power Company, Taiyuan 030021, China
Jie Pan: Dispatch and Control Center, State Grid Shanxi Electric Power Company, Taiyuan 030021, China
Zhiwei Xue: Dispatch and Control Center, State Grid Shanxi Electric Power Company, Taiyuan 030021, China
Hong Yang: State Grid Shanxi Electric Power Research Institute, Taiyuan 030001, China
Mingyang Mei: School of Electric Engineering, Xi’an Jiaotong University, Xi’an 710049, China
Zhihao Zhang: School of Electric Engineering, Xi’an Jiaotong University, Xi’an 710049, China
Peng Kou: School of Electric Engineering, Xi’an Jiaotong University, Xi’an 710049, China

Energies, 2023, vol. 16, issue 7, 1-23

Abstract: Renewable energy sources have been characterized by a persistent and rapid proliferation, which has resulted in a notable reduction in grid inertia over an extended period. There is a widely held belief that the primary source of inertia within the grid stems from generation-side conventional units. However, in power consumption, a significant number of induction motors are present, which can inherently offer rotational inertia by virtue of their kinetic energy. To investigate the influence of induction motors on grid inertia, in this paper, we propose two types of models, i.e., a detailed grid model and a dynamic equivalent model that considers multiple induction motors. Specifically, the detailed grid model with multiple induction motors is first established. However, the detailed model requires the specific parameters of induction motors, which are hard to acquire in large systems. Moreover, the accuracy of the model is unsatisfactory. To fill these gaps, the dynamic equivalent model (DEM) is further proposed to emulate the detailed model. Compared with the detailed model, the proposed dynamic equivalent model is structurally simple and does not require the specific parameters of induction motors. Therefore, it is possible to apply to large systems for investigating the influence of induction motors on grid frequency dynamics. A genetic algorithm is introduced in order to figure out the parameters of the proposed dynamic equivalent model from historical frequency data. The proposed detailed model and dynamic equivalent model are evaluated on the IEEE 9-bus system in MATLAB and SimPowerSystems toolbox.

Keywords: frequency response; grid inertia; system equivalent model; induction motor; genetic 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
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