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• Comprehensive energy base planning model integrating DLR and industrial DR. • Extends DLR to planning stage, linking RES generation with DLR calculations. • Process modeling of coal-to-methanol production and energy-consuming process. • Highlights potential for optimizing energy base operations with industrial loads. • Real case study on energy base validates effectiveness of proposed model. The integration of renewable energy sources (RES) into power systems during the low-carbon transformation has resulted in the emergence of energy bases due to geographical imbalance between electricity production and consumption. Existing research often assumes that the transmission capacity is fixed when optimizing energy base sizing, without considering the dynamic changes in the real environment. Additionally, energy base planning traditionally relies on allocating flexible resources to ensure flexibility and hedge against operational risks resulting from RES uncertainty. However, the approach neglects the inherent operational flexibility of local high-consumption loads and their potential for generation substitution. To address these issues, the paper proposes an optimal energy base planning method considering dynamic line rating (DLR) and integrated industry demand response (DR). Firstly, a planning-oriented approach is proposed to estimate transmission capacity by establishing the relationship between wind/solar power generation and DLR calculation. Furthermore, the study explores the operational flexibility and maximum generation substitution capacity of the chemical industry using the state-task network. Finally, the proposed model is validated using a modified energy base located in North China. Numerical results demonstrate that considering DLR and industrial DR improves the economy of the energy base and facilitates RES utilization. [ABSTRACT FROM AUTHOR]

• A multiple criteria analysis method is proposed to compare renewable energy and traditional solutions for off-grid island power supply. • Life cycle cost is used to build the economic model. • The fuzzy analytic hierarchy process is used to quantify the risk level. • A simulation platform is built to obtain the energy utilization. • Applied to the actual project to verify the feasibility of the method. Renewable energy microgrids are a new option for powering remote islands. To explore the feasibility of constructing island microgrid in China, based on the failed Dongfushan Island Demonstration Microgrid Project caused by equipment failure, low economic benefits, low residents' satisfaction, and poor power supply stability, this paper compares two power supply methods, microgrid and submarine cable. A systematic multiple criteria analysis method is established to compare these two methods, including economic analysis, risk assessment, energy spilled and energy shortage. Net present value and the life-cycle cost method are used to establish the economic cost model. Fuzzy analytic hierarchy process is used to establish the risk assessment model. Additionally, the simulation using PVsyst software is used to calculate the energy spilled and energy shortage. Furthermore, future trends are predicted with data to provide suggestions for decision-makers. Multiple criteria analysis results showed that energy spilled and shortages are inevitable for the use of microgrid on seasonally tourist islands like Dongfushan Island, with energy spilled and shortages rate as high as 50.11% and 37.57% in the worst case. The microgrid risk level is relatively low risk, higher than the lowest risk level for submarine cables. At full capacity, the cost of microgrid (34.03 million yuan) is comparable to submarine cables (30.31 million yuan), making the latter more suitable for power supply due to its better reliability. [Display omitted] [ABSTRACT FROM AUTHOR]