Agricultural mobile scenarios have dispersed energy loads that fluctuate with seasons and operational cycles. The intermittency and volatility of a single renewable energy source make it difficult to independently sustain a continuous and reliable power supply. This paper accordingly constructs output characteristic models for three power sources: photovoltaic, wind, and biomass. It further forms a multi-objective optimization model for multi-source complementary capacity configuration. This model balances annualized cost, power supply reliability, and renewable energy utilization. It obtains Pareto-optimal solutions with a non-dominated sorting genetic algorithm. Taking an agricultural demonstration area as a case, the multi-source complementary configuration raises power supply reliability by about 9.00 percentage points. It lowers annualized cost by about 14.00% compared with a single photovoltaic scheme. It also markedly smooths output fluctuations.
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Cui, Z. (2026) Modeling Renewable Energy Output Characteristics for Mobile Agricultural Scenarios and Multi-source Complementary Configuration Optimization. Scientific Research Bulletin, 3(4), 25-29. https://doi.org/10.71052/srb2024/WLDN1532