上海交通大学学报 ›› 2023, Vol. 57 ›› Issue (9): 1126-1136.doi: 10.16183/j.cnki.jsjtu.2022.378

所属专题: 《上海交通大学学报》2023年“新型电力系统与综合能源”专题

• 新型电力系统与综合能源 • 上一篇    下一篇

考虑碳配额引导需求响应的微电网能量管理策略

姜恩宇1(), 陈宇1, 施峥靖2, 吴哲城1, 林顺富1, 李东东1   

  1. 1.上海电力大学 电气工程学院,上海 200082
    2.山东核电有限公司,山东 烟台 264000
  • 收稿日期:2022-09-29 修回日期:2022-12-24 接受日期:2022-12-29 出版日期:2023-09-28 发布日期:2023-12-20
  • 作者简介:姜恩宇(1981-),讲师,从事微电网技术和配电网自动化技术研究;E-mail:enyu_1981@163.com.
  • 基金资助:
    国家自然科学基金资助项目(51977127);上海市科学技术委员会资助项目(19020500800);上海市教育发展基金会和上海市教育委员会“曙光计划”(20SG52)

A Microgrid Energy Management Strategy Considering Carbon Quota Guided Demand Response

JIANG Enyu1(), CHEN Yu1, SHI Zhengjing2, WU Zhecheng1, LIN Shunfu1, LI Dongdong1   

  1. 1. College of Electrical Engineering, Shanghai Electric Power University, Shanghai 200082, China
    2. Shandong Nuclear Power Co., Ltd., Yantai 264000, Shandong, China
  • Received:2022-09-29 Revised:2022-12-24 Accepted:2022-12-29 Online:2023-09-28 Published:2023-12-20

摘要:

为了减小微电网运行中可再生能源随机性和波动性造成的预测出力误差,提出考虑碳配额引导需求响应的微电网能量管理策略.构建两层模型预测控制(MPC)的能量管理模型,上层利用长时间尺度模型预测控制构建碳排放配额机制,引导电动汽车参与微电网的需求响应,实现微电网经济运行,降低碳排放量;下层使用MPC滚动优化和反馈校正来实现预测域与控制域之间的耦合,利用短时间尺度模型预测控制平抑可再生能源预测误差造成的功率波动.算例分析结果表明:所提能量管理策略能够有效引导电动汽车或其他可控负荷参与需求响应,实现微电网低碳经济调度和稳定运行.

关键词: 微电网, 能量管理, 模型预测控制, 碳配额, 需求响应

Abstract:

In order to reduce the forecast output error caused by the randomness and volatility of renewable energy in microgrid operation, a microgrid energy management strategy considering carbon quota guided demand response is proposed. A two-layer model predictive control (MPC) energy management model is constructed. The upper layer guides electric vehicles to participate in the demand response of microgrid by constructing a carbon emission quota mechanism to realize the economic operation of microgrid and reduce carbon emissions. The lower layer uses the model predictive control rolling optimization and the power fluctuation caused by the prediction error of renewable energy is suppressed by the short time scale model predictive control. The results of calculation analysis show that the proposed energy management strategy can effectively guide electric vehicles or other controllable loads to participate in demand response and realize low-carbon economic dispatch and stable operation of microgrid.

Key words: microgrid, energy management, model predictive control (MPC), carbon quota, demand response

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