计及需求响应的风储集群电力系统多时间尺度优化调度

彭伟鹏; 邵振国; 陈飞雄; 张抒凌; 高统彤; 陈大玮

doi:10.19912/j.0254-0096.tynxb.2023-1561

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太阳能学报 ›› 2025, Vol. 46 ›› Issue (2) : 282-292. DOI: 10.19912/j.0254-0096.tynxb.2023-1561

计及需求响应的风储集群电力系统多时间尺度优化调度

彭伟鹏¹, 邵振国¹, 陈飞雄¹, 张抒凌², 高统彤², 陈大玮²

作者信息 +

MULTI-TIMESCALE OPTIMAL SCHEDULING OF WIND-STORAGE CLUSTER POWER SYSTEM WITH DEMAND RESPONSE

Peng Weipeng¹, Shao Zhenguo¹, Chen Feixiong¹, Zhang Shuling², Gao Tongtong², Chen Dawei²

Author information +

文章历史 +

摘要

“风电场+储能”配套建设的新模式逐渐成为主流,面对高比例风储系统接入的新型电力系统,提出一种计及需求响应的风储集群电力系统多时间尺度优化调度策略。首先,日前长时间尺度阶段通过价格型需求响应调整用户负荷功率,以净负荷功率波动和运行成本最小为目标,求得实施价格型需求响应后的负荷曲线;其次,在日内短时间尺度阶段实施激励型需求响应并调度风储集群系统,以电力系统总运行成本最低为目标,考虑风储集群系统的有功功率变化最大限值约束,制定电力系统日内调度计划;最后,以改进的IEEE39节点系统作为算例,验证所提策略能够减少风储集群系统的弃风电量,降低其并网功率波动。

Abstract

The new mode of “wind farm+energy storage” has gradually become the mainstream. Facing the new power system with high proportion of wind storage system connected to grid, a multi-timescale optimal scheduling strategy of wind-storage cluster power system with demand response is proposed. Firstly, in the day-ahead long time scale stage, the user load power is adjusted by price based demand response, and the day-ahead scheduling plan and optimized load curve are obtained with the goal of minimizing the net load power fluctuation and operating cost. Secondly, in the intra-day short time scale stage, the incentive demand response and wind-storage systems are scheduled on the basis of the optimized load power. With the goal of minimizing the total dispatching cost of the power system, the daily scheduling plan of the power system is formulated considering the maximum limit of the active power change of the wind-storage cluster system. Finally, the improved IEEE39-node system is taken as an example to verify the proposed strategy. As the results, the proposed strategy can reduce the curtailment power and grid-connected power fluctuation of wind-storage cluster system.

导出引用

彭伟鹏, 邵振国, 陈飞雄, 张抒凌, 高统彤, 陈大玮. 计及需求响应的风储集群电力系统多时间尺度优化调度[J]. 太阳能学报. 2025, 46(2): 282-292 https://doi.org/10.19912/j.0254-0096.tynxb.2023-1561

Peng Weipeng, Shao Zhenguo, Chen Feixiong, Zhang Shuling, Gao Tongtong, Chen Dawei. MULTI-TIMESCALE OPTIMAL SCHEDULING OF WIND-STORAGE CLUSTER POWER SYSTEM WITH DEMAND RESPONSE[J]. Acta Energiae Solaris Sinica. 2025, 46(2): 282-292 https://doi.org/10.19912/j.0254-0096.tynxb.2023-1561

中图分类号： TM73

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