An Mutual Assistance Optimal Scheduling Method for Offshore Fishery Microgrid Clusters Based on Information-Gap Decision Theory

doi:10.16513/j.2096-2185.DE.26110076

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Distributed Energy ›› 0 DOI: 10.16513/j.2096-2185.DE.26110076

An Mutual Assistance Optimal Scheduling Method for Offshore Fishery Microgrid Clusters Based on Information-Gap Decision Theory

CUI Zhenyu1, SU Juan1*, LIN Yi2, LIN Jingyi3, WEI Nansong1, CAO Qian1, WEI Jian1

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Abstract

In offshore fishery microgrid clusters operating under weak support, reliable probability distributions are often unavailable for PV generation and load forecasts, which challenges economic energy scheduling. This paper studies optimal operation considering source–load uncertainty. Starting from the fishery production process, a single-farm microgrid structure and key component models are established, and an interconnected microgrid cluster is formed via tie-lines. A deterministic dispatch model is developed considering tie-line capacity and transmission efficiency. Information-Gap Decision Theory (IGDT) is then introduced to build a robustness-oriented model that maximizes the admissible uncertainty radius to characterize the resilience boundary, and an opportunityoriented model that minimizes the uncertainty radius required to meet a target benefit to explore potential gains, providing a unified decision-making framework for different risk preferences. Case studies show that energy mutual aid reduces the total operating cost: compared with isolated operation, the cost decreases by about 3.9% under islanded mutual aid and by about 54.8% under a hybrid grid-connected mode. Moreover, the robustness-oriented strategy significantly enhances disturbance tolerance at the expense of limited economic performance and suppresses frequent diesel generator start–stop actions, while the opportunity-oriented strategy achieves better economic performance under controllable risk. The proposed method enables quantitative economic trade-offs for interconnected microgrid clusters without relying on precise probability distributions, and provides an interpretable decision-making approach for offshore fishery microgrid clusters and other weak-support scenarios.

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interconnected microgrids / offshore fishery farms / energy mutual aid / information-gap decision theory / opportunityoriented optimization / robustness-oriented optimization

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CUI Zhenyu1, SU Juan1, LIN Yi2, LIN Jingyi3, WEI Nansong1, CAO Qian1, WEI Jian1. An Mutual Assistance Optimal Scheduling Method for Offshore Fishery Microgrid Clusters Based on Information-Gap Decision Theory[J]. Distributed Energy, 0 https://doi.org/10.16513/j.2096-2185.DE.26110076.