张新, 岳园园, 曾好, 王辉, 李涛, 王主丁. 面向电网规划的重点需求侧资源响应潜力评估方法[J]. 电力系统自动化, 2023, 47(16): 162-170.
引用本文: 张新, 岳园园, 曾好, 王辉, 李涛, 王主丁. 面向电网规划的重点需求侧资源响应潜力评估方法[J]. 电力系统自动化, 2023, 47(16): 162-170.
ZHANG Xin, YUE Yuanyuan, ZENG Hao, WANG Hui, LI Tao, WANG Zhuding. Response Potential Evaluation Method of Key Demand-side Resources for Power Grid Planning[J]. Automation of Electric Power Systems, 2023, 47(16): 162-170.
Citation: ZHANG Xin, YUE Yuanyuan, ZENG Hao, WANG Hui, LI Tao, WANG Zhuding. Response Potential Evaluation Method of Key Demand-side Resources for Power Grid Planning[J]. Automation of Electric Power Systems, 2023, 47(16): 162-170.

面向电网规划的重点需求侧资源响应潜力评估方法

Response Potential Evaluation Method of Key Demand-side Resources for Power Grid Planning

  • 摘要: 针对电网规划中需求响应(DR)对负荷预测的影响,基于包括用户可调节能力和响应度的DR特性,提出一种可操作性较强的DR潜力测算方法。首先,提出了电网规划中DR潜力评估的总体思路;其次,采用四象限法对影响DR潜力的可调节能力和响应度等重要因素进行分析,以确定近期和未来的重点需求侧资源;然后,提出重点需求侧资源参与激励型DR的削峰与填谷响应潜力评估方法,将大数据应用于采暖和降温负荷、工业负荷等需求侧资源(如可调节系数和负荷准线);最后,采用文中方法对某区域电网未来年份的DR潜力进行了评估。

     

    Abstract: Aiming at the influence of demand response(DR) on load forecasting in the power grid planning, a highly operatable calculation method for the DR potential is proposed based on the DR characteristics including user adjustable ability and responsiveness. First, the general idea of DR potential evaluation is proposed for the power grid planning. Secondly, the fourquadrant method is used to analyze the important factors such as the adjustable ability and responsiveness that affect the DR potential, so that the key demand-side resources are determined in the near-term and future. Then, the peak-shaving and valleyfilling response potential evaluation methods of key demand-side resources participating in the incentive-based DR are proposed, which applies big data to the demand-side resources such as heating and cooling loads and industrial loads(e. g. the adjustable coefficient and customer directrix load). Finally, the future DR potential of a regional power grid is evaluated by the proposed method.

     

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