An Intra-Day and Daily Rolling Economic Dispatching Model for Energy Storage Systems in Industrial Park Microgrids

Aiming at the electricity-purchase-cost optimization demand of park microgrids equipped with distributed photovoltaics, two sets of energy-storage dispatching models are established for intra-day deterministic dispatching and long-term day-by-day rolling optimization. With the objective of minimizing daily total electricity-purchase cost, the intra-day dispatching model considers power balance, energy-storage charge-discharge power, capacity limits and daily cyclic constraints. Linear programming is adopted to solve electricity-purchase and energy-storage operation strategies under 10-minute time granularity, followed by feasibility verification and sensitivity analysis of key parameters. For long-term rolling dispatching, load forecasting is realized via historical same-week load weighting and deviation damping correction. A safety margin for planned electricity purchase and high-price emergency purchase penalty mechanism are introduced to realize annual-scale optimal operation of microgrid energy storage. Numerical results prove that energy-storage greatly cuts microgrid electricity-purchase expenditure. Charge-discharge efficiency dominates dispatching performance, and a 3% reserved ratio for planned purchase balances economic cost and power shortage risk. This work provides theoretical support for practical engineering dispatching of park-microgrid energy storage.