Distributed Generation Cluster Division Method Considering Frequency Regulation Response Speed

Author:

Xu Yan1,Hu Peng1,Zhang Fengyang2,Zhou Tao2ORCID

Affiliation:

1. Jiangsu Frontier Electric Technology Co., Ltd., Nanjing 211102, China

2. School of Automation, Nanjing University of Science and Technology, Nanjing 210094, China

Abstract

With the large-scale integration of distributed generation (DG), it is difficult to realize distribution network planning and operation under specific requirements using the traditional cluster division method based on a single criterion. To reduce the complexity of frequency regulation control strategies, this paper proposes a cluster division method that synthesizes structural and functional indexes. First, the ability of DG within a cluster to provide flexibility to the system is analyzed. Then, a cluster response speed model is proposed to cope with the frequency regulation of demand flexibility on shorter time scales. Based on the above analysis, this paper proposes a distributed generation cluster (DGC) frequency regulation response speed index. The combined electrical distance based on the impedance–power reserve (I–PR) is defined by considering the power reserve of each node of the system. The I–PR is weighted to the structural indexes to improve the division. Meanwhile, in order to enhance the convergence speed of the algorithm for the division process, an adaptive genetic algorithm (GA) based on the encoding method of the weighted network adjacency matrix is used. Finally, distributed generation cluster division is performed on two systems to verify the validity of the proposed indexes in this paper.

Funder

Natural Science Foundation of Jiangsu Province

Fundamental Research Funds for the Central Universities

Publisher

MDPI AG

Reference26 articles.

1. Li, C., Xia, B., and Leng, Z. (2023, January 6–7). A Multi-View Clustering based Dynamic Partitioning Method for Distribution Network. Proceedings of the 2023 IEEE 3rd International Conference in Power Engineering Applications (ICPEA), Putrajaya, Malaysia.

2. Optimal allocation of ESS in distribution network containing DG base on Timing-Voltage-Sensitivity analysis;Li;Proc. CSEE,2017

3. Review of optimization techniques applied for the integration of distributed generation from renewable energy sources;Abdmouleh;Renew. Energy,2017

4. Study on the combination model of wind and solar storage to improve the flexibility of power system;Zhao;Hydroelectr. Energy Sci.,2019

5. Long, Y., Li, Y., Jiang, J., and Zhang, Y. (2022, January 7–8). Power supply unit optimization division method considering load spatial distribution clus-tering. Proceedings of the 2022 China International Conference on Electricity Distribution (CICED), Changsha, China.

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