上海交通大学学报 ›› 2023, Vol. 57 ›› Issue (7): 835-844.doi: 10.16183/j.cnki.jsjtu.2022.056

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

计及需求响应和风力发电消纳的电-热系统低碳优化调度

刘子旭, 米阳(), 卢长坤, 符杨, 苏向敬   

  1. 上海电力大学 电气工程学院,上海 200090
  • 收稿日期:2022-03-05 修回日期:2022-03-30 接受日期:2022-04-11 出版日期:2023-07-28 发布日期:2023-07-28
  • 通讯作者: 米阳 E-mail:miyangmi@163.com
  • 作者简介:刘子旭(1996-),硕士生,从事综合能源优化调度等研究.
  • 基金资助:
    国家自然科学基金(61873159);上海市自然基金(22ZR1425500)

Low-Carbon Optimal Dispatch of Electric-Thermal System Considering Demand Response and Wind Power Consumption

LIU Zixu, MI Yang(), LU Changkun, FU Yang, SU Xiangjing   

  1. College of Electrical Engineering, Shanghai University of Electric Power, Shanghai 200090, China
  • Received:2022-03-05 Revised:2022-03-30 Accepted:2022-04-11 Online:2023-07-28 Published:2023-07-28
  • Contact: MI Yang E-mail:miyangmi@163.com

摘要:

针对热电联产机组存在热电耦合性大、火电机组碳排放量高和负荷侧资源灵活性未充分挖掘等问题,建立计及负荷需求响应和风力发电消纳的电-热系统低碳调度模型.首先,在源侧考虑增加储热和碳捕集设备,同时在负荷侧考虑电价型需求响应和供暖建筑热负荷惯性.然后,以机组运行成本、碳交易成本和弃风惩罚成本总和为目标函数,考虑相关约束,并调用Gurobi求解器进行求解.最后,针对不同案例下系统的经济成本、风力发电消纳量和碳排放速率等方面进行算例对比分析,证明该调度策略在提高系统风力发电消纳能力的同时兼顾经济性和低碳性.

关键词: 碳捕集, 需求侧响应, 热负荷惯性, 风力发电消纳, 低碳经济

Abstract:

To solve the problems of large thermoelectric coupling in combined heat and power, high carbon emission of thermal power units, and insufficient resource flexibility on the load side in cogeneration units, a low-carbon dispatching model is established for the electricity-heat system. First, heat storage and carbon capture equipment is added on the source side while the demand response of electricity price and the heat load inertia of heating buildings are considered on the load side. Then, the sum of unit operating cost, carbon transaction cost and wind abandonment penalty cost are taken as the objective function with relevant constraints and solved by calling Gurobi solver. Finally, a comparative analysis of the economic cost, wind power consumption, and carbon emission rate of the system in different cases is conducted, which shows that the dispatching strategy proposed in this paper can improve the wind power consumption capacity while taking economy and low carbon emission into account.

Key words: carbon capture, demand-side response, thermal load inertia, wind power consumption, low-carbon economy

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