Dynamic Equivalent Model Considering Multiple Induction Motors for System Frequency Response

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....

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Main Authors: Zhen Tang, Guoxing Mu, Jie Pan, Zhiwei Xue, Hong Yang, Mingyang Mei, Zhihao Zhang, Peng Kou
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/16/7/2987
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author Zhen Tang
Guoxing Mu
Jie Pan
Zhiwei Xue
Hong Yang
Mingyang Mei
Zhihao Zhang
Peng Kou
author_facet Zhen Tang
Guoxing Mu
Jie Pan
Zhiwei Xue
Hong Yang
Mingyang Mei
Zhihao Zhang
Peng Kou
author_sort Zhen Tang
collection DOAJ
description 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.
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spelling doaj.art-c45561f4738d470a93937bd63e5b007f2023-11-17T16:35:52ZengMDPI AGEnergies1996-10732023-03-01167298710.3390/en16072987Dynamic Equivalent Model Considering Multiple Induction Motors for System Frequency ResponseZhen Tang0Guoxing Mu1Jie Pan2Zhiwei Xue3Hong Yang4Mingyang Mei5Zhihao Zhang6Peng Kou7State Grid Shanxi Electric Power Research Institute, Taiyuan 030001, ChinaDispatch and Control Center, State Grid Shanxi Electric Power Company, Taiyuan 030021, ChinaDispatch and Control Center, State Grid Shanxi Electric Power Company, Taiyuan 030021, ChinaDispatch and Control Center, State Grid Shanxi Electric Power Company, Taiyuan 030021, ChinaState Grid Shanxi Electric Power Research Institute, Taiyuan 030001, ChinaSchool of Electric Engineering, Xi’an Jiaotong University, Xi’an 710049, ChinaSchool of Electric Engineering, Xi’an Jiaotong University, Xi’an 710049, ChinaSchool of Electric Engineering, Xi’an Jiaotong University, Xi’an 710049, ChinaRenewable 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.https://www.mdpi.com/1996-1073/16/7/2987frequency responsegrid inertiasystem equivalent modelinduction motorgenetic algorithm
spellingShingle Zhen Tang
Guoxing Mu
Jie Pan
Zhiwei Xue
Hong Yang
Mingyang Mei
Zhihao Zhang
Peng Kou
Dynamic Equivalent Model Considering Multiple Induction Motors for System Frequency Response
Energies
frequency response
grid inertia
system equivalent model
induction motor
genetic algorithm
title Dynamic Equivalent Model Considering Multiple Induction Motors for System Frequency Response
title_full Dynamic Equivalent Model Considering Multiple Induction Motors for System Frequency Response
title_fullStr Dynamic Equivalent Model Considering Multiple Induction Motors for System Frequency Response
title_full_unstemmed Dynamic Equivalent Model Considering Multiple Induction Motors for System Frequency Response
title_short Dynamic Equivalent Model Considering Multiple Induction Motors for System Frequency Response
title_sort dynamic equivalent model considering multiple induction motors for system frequency response
topic frequency response
grid inertia
system equivalent model
induction motor
genetic algorithm
url https://www.mdpi.com/1996-1073/16/7/2987
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