Meng Qinglin, He Ying, Hussain Sheharyar, Lu Jinghang, Guerrero Josep M
Green Power Research Institute, Tianjin Renai College, Tianjin, 301636, China.
Department of Electronic Engineering, Polytechnic University of Catalonia, Barcelona, 08019, Spain.
Sci Rep. 2025 Jul 22;15(1):26579. doi: 10.1038/s41598-025-11561-2.
This study proposes an optimized day-ahead economic dispatch framework for wind-integrated microgrids, combining energy storage systems with a hybrid demand response (DR) strategy to address real-time grid pricing dynamics. The model evaluates five operational scenarios: (1) conventional dispatch without renewable/storage/DR integration, (2) wind power participation, (3) coordinated wind-storage operation, (4) wind-DR synergy, and (5) full integration of wind, storage, and DR. A two-stage demand response mechanism is developed, integrating incentive-based load adjustments with price elasticity modeling through a tariff scaling factor approach. The analysis compares operational costs, renewable energy utilization efficiency, load profile characteristics, and user comfort levels across all scenarios. Results demonstrate that the combined deployment of wind generation, battery storage, and adaptive DR significantly reduces microgrid operating costs while enhancing peak load management. The integrated strategy proves most effective in balancing supply-demand dynamics, improving grid stability through synergistic storage-DR coordination, and maintaining user satisfaction. Case studies validate the framework's practicality in achieving cost-efficient dispatch decisions without compromising renewable energy integration capabilities. The proposed model achieves a 23.4% reduction in operational cost and over 88% utilization of renewable energy, with load peaks significantly flattened and user comfort exceeding 90% throughout the scheduling horizon.
本研究提出了一种针对风电接入微电网的优化日前经济调度框架，将储能系统与混合需求响应（DR）策略相结合，以应对实时电网电价动态变化。该模型评估了五种运行场景：（1）无可再生能源/储能/需求响应集成的常规调度；（2）风电参与；（3）风电-储能协调运行；（4）风电-需求响应协同；（5）风电、储能和需求响应的完全集成。开发了一种两阶段需求响应机制，通过电价缩放因子方法将基于激励的负荷调整与价格弹性建模相结合。分析比较了所有场景下的运营成本、可再生能源利用效率、负荷曲线特征和用户舒适度水平。结果表明，风力发电、电池储能和自适应需求响应的联合部署显著降低了微电网运营成本，同时增强了峰值负荷管理能力。综合策略在平衡供需动态、通过储能-需求响应协同协调提高电网稳定性以及维持用户满意度方面被证明是最有效的。案例研究验证了该框架在不影响可再生能源集成能力的情况下实现经济高效调度决策的实用性。所提出的模型实现了23.4%的运营成本降低和超过88%的可再生能源利用率，在整个调度周期内负荷峰值显著降低，用户舒适度超过90%。
