Energy Management Strategy for Agricultural Parks Based on Refined Load Modeling and Bi‐Level Optimization of Economic and Environment

Author:
Open Access
Publisher website
Google Scholar
Abstract
Current agricultural park integrated energy system (IES) face challenges such as oversimplified modeling and difficulties in reconciling environmental satisfaction with economic performance. To enhance both operational efficiency and crop growth environmental quality assurance, this study develops refined electrical and thermal load models based on crop physiological ecology. A bi‐level optimal scheduling method of economy and environment is proposed. The upper‐level model minimizes system operating costs by coordinating photovoltaics (PVs), wind turbine (WT), electrical energy storage (EES) device, and power exchange with power grid. The lower‐level model ensures crop growth environmental satisfaction by synergistically optimizing temperature, light, humidity, and ventilation parameters throughout the growth cycle. Example analysis on a cucumber‐growing park in Xinjiang demonstrates that the proposed method reduces system operating costs by 10.56%, 7.21%, and 14.38% during the germination, growth, and maturity stages, respectively, while increasing environmental satisfaction to 95.9%. The local renewable energy consumption rate is improved by over 6%. Moreover, under uncertain renewable energy power generation, the method maintains growing degree day (GDD) and daily light integral (DLI) within crop physiological safety thresholds. The results confirm that the refined load models and bi‐level optimization mechanism effectively coordinate economic operation with crop growth environmental quality assurance, providing theoretical and technical support for optimizing agricultural park IES with high permeability renewable energy power generation.

This publication has 12 references indexed in Scilit: