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Coordinated Optimization Strategy for Hybrid Energy Storage toward High-PV-Penetration Distribution Networks

Yechun Xin1, Xinxin Cheng1, Yanxu Wang1,*, Weiru Wang1, Jiexiang Han2, Zhen Niu3
1 School of Northeast Electric Power University, Key Laboratory of Modern Power System Simulation and Control & New Technology, Ministry of Education, Jilin, China
2 State Grid Corporation of Gansu Province, Lanzhou, China
3 Electric Power Science Research Institute, State Grid Corporation of Gansu Province, Lanzhou, China
* Corresponding Author: Yanxu Wang. Email: email
(This article belongs to the Special Issue: Integration of Renewable Energies with the Grid: An Integrated Study of Solar, Wind, Storage, Electric Vehicles, PV and Wind Materials and AI-Driven Technologies)

Energy Engineering https://doi.org/10.32604/ee.2026.079043

Received 13 January 2026; Accepted 06 March 2026; Published online 31 March 2026

Abstract

Addressing voltage violations and renewable energy absorption bottlenecks arising from high-penetration photovoltaic (PV) integration, this paper proposes a hierarchical optimisation architecture for a Hybrid Energy Storage System (HESS) based on microgrid-distribution network coordination to enhance collaborative regulation of energy storage across multiple microgrids. The methodology comprises a PV hosting capacity assessment model and an HESS operation model that accounts for power supply reliability, forming a two-layer planning framework that integrates distributed decision-making with centralized coordination. At the microgrid level, HESS capacity is determined to minimise the local comprehensive cost, while the allocation ratio between lithium-based and hydrogen-based energy storage is optimised to maximise renewable energy utilization. At the distribution network level, a global collaborative dispatch of multi-microgrid energy storage is performed to minimise total system cost and voltage deviation, thereby achieving cross-regional power balance and voltage support. Simulation verification is conducted using actual distribution network data from Zhejiang Province and a 33-node test system. The results indicate that the proposed coordinated operation strategy can effectively improve voltage quality, enhance the PV absorption rate, and increase economic benefits.

Keywords

Hybrid energy storage capacity configuration; mayfly algorithm; high proportion of photovoltaics; bi-level optimization
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