上海交通大学学报

上海交通大学学报 ›› 2025, Vol. 59 ›› Issue (2): 165-174.doi: 10.16183/j.cnki.jsjtu.2023.262

• 新型电力系统与综合能源 • 上一篇    下一篇

含高比例风电低碳园区灵活性资源鲁棒协调运行

孟毓1, 郭瑞1, 石子川2(), 薛俊逸1, 吕嘉文1, 樊飞龙2   

  1. 1.上海电力设计院有限公司 科技信息部;数字化创新研究院,上海 200025
    2.上海交通大学 电子信息与电气工程学院;国家电投智慧能源创新学院,上海 200240
  • 收稿日期:2023-06-25 修回日期:2023-08-06 接受日期:2023-09-18 出版日期:2025-02-28 发布日期:2025-03-11
  • 通讯作者: 石子川,博士生;E-mail:shizichuan@sjtu.edu.cn.
  • 作者简介:孟 毓(1974—),高级工程师,研究方向为新能源发电系统设计与运行.
  • 基金资助:
    风光数字孪生一体化关键技术研究(KJ-2021-106)

Robustly Coordinated Operation for Flexible Resources in Low-Carbon Park with High Penetration of Wind Power

MENG Yu1, GUO Rui1, SHI Zichuan2(), XUE Junyi1, LÜ Jiawen1, FAN Feilong2   

  1. 1. Department of Science and Technology Information; Digital Innovation Research Institute, Shanghai Electric Power Design Institute Co., Ltd., Shanghai 200025, China
    2. School of Electronic Information and Electrical Engineering; College of Smart Energy, Shanghai Jiao Tong University, Shanghai 200240, China
  • Received:2023-06-25 Revised:2023-08-06 Accepted:2023-09-18 Online:2025-02-28 Published:2025-03-11

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摘要：

为应对风电出力不确定性给低碳园区运行可靠性与经济性带来的挑战,提出一种以最小化低碳园区电-碳综合运行成本为目标的多时间尺度鲁棒协调运行方案,充分发挥低碳园区中氢储能、天然气储能与电化学储能等灵活性资源的多样化调节能力.运行方案包含两个阶段:第1阶段为日前决策阶段,通过考虑风电出力与负荷需求的多时间尺度波动特点,制定氢储能、天然气储能与电化学储能的鲁棒调度指令;第2阶段为日内决策阶段,通过结合风电出力和负荷需求的短期预测结果,动态调整风力发电机组功率调度指令.日前决策为自适应鲁棒优化问题,通过列约束生成算法进行求解;日内决策为确定性优化问题,通过线性规划算法求解.最后,结合某实际低碳园区风电出力和负荷需求的小时级功率数据与运行天级电量数据,构建仿真模型,验证运行方案的有效性.仿真结果表明,本方法能够有效提升含高比例风电低碳园区运行经济性与可靠性.

关键词: 高比例风电, 低碳园区, 灵活性资源, 电-碳综合成本, 协调运行

Abstract:

In order to meet the challenges of operational reliability and economy in the low-carbon park caused by the uncertainty of wind power output, a multi-timescale robustly coordinated operation scheme is proposed to minimize the integrated electricity-carbon operation cost in the low-carbon park, where the diverse regulation capabilities of the flexible resources, such as hydrogen, natural gas, and electrochemical energy storages are fully utilized. The first stage of the proposed operation scheme is the day-ahead decision stage, which considers the multi-timescale fluctuation of wind power output and load demand, and formulates the robust scheduling commands for hydrogen, natural gas, and electrochemical energy storage. The second stage is the intra-day decision stage, which combines the short-term forecast results of wind power output and load demand to dynamically adjust the wind turbine power scheduling commands. The day-ahead decision is an adaptive robust optimization problem, which is solved by the column-and-constraint generation (C&CG) algorithm, while the intra-day decision is a deterministic optimization problem, which is solved by the linear programming algorithm. Finally, this paper proposes an operation simulation model to validate the effectiveness of the operation scheme by combining the hourly and daily operation data of wind power and the load demand in a practical low-carbon park. The simulation results show that the proposed method can effectively improve the operational economy and reliability of the low carbon park with a high penetration of wind power.

Key words: high penetration of wind power, low-carbon park, flexible resources, integrated electricity-carbon operation cost, coordinated operation

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