A Regional Integrated Energy System Planning Method Based on the Energy Supply Potential of Regional Biomass and Solar Energy

Regional integrated energy systems play a vital role in promoting renewable energy substitution in rural areas. However, their performance is often constrained by limited distributed photovoltaic (DPV) capacity and the single energy conversion form of biomass. To address these issues, this study proposes a novel RIES planning model based on the energy supply potential of regional biomass and solar energy. The model incorporates a regional biomass comprehensive utilisation system (RBCUS), which produces electricity, gas and fertilisers simultaneously and complements the power generation of DPV. A multi‐criteria evaluation framework is developed, covering daily net income, energy‐supply cost, equipment utilisation, and localisation rate. A hybrid algorithm combining the genetic algorithm and interior point method is used to achieve high‐dimensional nonlinear optimisation. Furthermore, a seasonal correction and uncertainty modelling approach is integrated into the typical‐day method to capture time‐dependent variations of resources. Case studies demonstrate that the joint operation of DPV and RBCUS improves system efficiency by 10%–20%, reduces biomass consumption by 4% per MW of DPV installed and shortens the investment cycle by 40% compared to biomass‐only systems. The proposed model effectively enhances local energy self‐sufficiency and provides an optimised pathway for renewable‐based rural energy planning.