A Secondary Frequency Control Based on MPC Considering Distributed Energy Storage

2022 3rd International Conference on Advanced Electrical and Energy Systems (AEES) Pub Date : 2022-09-23 DOI:10.1109/AEES56284.2022.10079400

Bingqing Yu, Zhicheng Ma, Wenfei Liu, Haiying Dong

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Abstract

The integration of extensive new energy has changed the original network structure and reduce the stability of the power grid, and especially puts forward higher requirement for the frequency response ability of the power grid. Therefore, based on model predictive control (MPC), this paper proposes a grid load frequency control (LFC) method with the participation of distributed battery energy storage system (BESS). Firstly, the principle of BESS participation in the secondary frequency regulation is analyzed, and on this basis, the dynamic frequency response model of the power grid with the participation of BESS is established. Finally, based on the different frequency regulation characteristics of traditional generator and BESS, the distributed coordinated optimal control of multiple frequency control sources is realized by MPC. The simulation results show that the proposed model prediction controller can quickly eliminate the frequency deviation and realize the coordinated operation of distributed BESSs and traditional generator in the grid frequency regulation.

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考虑分布式储能的基于MPC的二次频率控制

广泛的新能源并网改变了原有的电网结构，降低了电网的稳定性，尤其对电网的频响能力提出了更高的要求。为此，本文在模型预测控制(MPC)的基础上，提出了分布式电池储能系统(BESS)参与的电网负荷频率控制(LFC)方法。首先，分析了BESS参与二次调频的原理，在此基础上，建立了BESS参与电网的动态频率响应模型。最后，根据传统发电机和BESS不同的调频特性，利用MPC实现了多调频源的分布式协调最优控制。仿真结果表明，所提出的模型预测控制器能够快速消除频率偏差，实现分布式bess与传统发电机在电网频率调节中的协调运行。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2022 3rd International Conference on Advanced Electrical and Energy Systems (AEES)

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