Open Access

ARTICLE

Research on Scheduling Strategy of Flexible Interconnection Distribution Network Considering Distributed Photovoltaic and Hydrogen Energy Storage

Yang Li^1,2, Jianjun Zhao², Xiaolong Yang², He Wang^1,*, Yuyan Wang¹

1 College of Electrical Engineering, Northeast Electric Power University, Jilin, 132011, China
2 Smart Distribution Network Center, State Grid Jibei Electric Power Co., Ltd., Qinhuangdao, 066000, China

* Corresponding Author: He Wang. Email:

Energy Engineering 2024, 121(5), 1263-1289. https://doi.org/10.32604/ee.2024.046784

Received 14 October 2023; Accepted 11 December 2023; Issue published 30 April 2024

Abstract

Distributed photovoltaic (PV) is one of the important power sources for building a new power system with new energy as the main body. The rapid development of distributed PV has brought new challenges to the operation of distribution networks. In order to improve the absorption ability of large-scale distributed PV access to the distribution network, the AC/DC hybrid distribution network is constructed based on flexible interconnection technology, and a coordinated scheduling strategy model of hydrogen energy storage (HS) and distributed PV is established. Firstly, the mathematical model of distributed PV and HS system is established, and a comprehensive energy storage system combining seasonal hydrogen energy storage (SHS) and battery (BT) is proposed. Then, a flexible interconnected distribution network scheduling optimization model is established to minimize the total active power loss, voltage deviation and system operating cost. Finally, simulation analysis is carried out on the improved IEEE33 node, the NSGA-II algorithm is used to solve specific examples, and the optimal scheduling results of the comprehensive economy and power quality of the distribution network are obtained. Compared with the method that does not consider HS and flexible interconnection technology, the network loss and voltage deviation of this method are lower, and the total system cost can be reduced by 3.55%, which verifies the effectiveness of the proposed method.

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Keywords

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