考虑风电消纳和储能寿命损耗的源网荷储协同优化运行

Collaborative optimization operation of source-grid-load-storage considering wind power accommodation and energy storage lifetime degradation

中文关键词: 模型预测控制1  储能寿命模型2  多时间尺度3  风电消纳4  源网荷储协调5

英文关键词: model predicted control1  energy storage life model2  multi-timescale3  wind power integration4  source-grid-load-storage5

中文摘要:

      为提升风电消纳率以及系统运行的经济性，本文提出了考虑混合储能寿命损耗的多时间尺度源网荷储双层协调调度策略。上层基于模型预测控制通过跟踪风电和负荷变化趋势保证电池储能的调频性能同时减少其退化成本，建立混合储能动态运行策略，并将最优储能充放电任务传递到下层模型；下层结合储能与负荷侧需求响应资源特性，通过日前计划与日内滚动调整，建立了系统运行成本、弃风成本和储能资源调用成本最小化的源网荷储最优运行方式。最后通过改进IEEE-30节点算例进行验证，结果表明本文提出的策略可以减少储能寿命损耗成本、提高风电消纳率，降低系统运行成本。

英文摘要:

      To enhance the wind power accommodation rate and the economic efficiency of system operation, this paper proposes a mul-ti-time-scale two-layer coordinated scheduling strategy for source-grid-load-storage, considering the life cycle cost of hybrid energy storage. The upper layer employs model predictive control to track the trends of wind power and load changes, thereby ensuring the frequency regulation performance of battery energy storage while reducing its degradation costs. It establishes a dynamic operation strategy for hybrid energy storage and transmits the optimal energy storage charging and discharging tasks to the lower layer model. The lower layer, integrating the characteristics of energy storage and demand response resources on the load side, establishes an optimal operation mode for source-grid-load-storage that minimizes system operation cost, wind curtailment cost, and energy storage resource invocation cost through day-ahead scheduling and intra-day rolling adjustments. Finally, the strategy is validated through an improved IEEE-30 bus case study. The results indicate that the proposed strategy can reduce energy storage life cycle cost, improve the wind power accommodation rate, and lower system operation costs.