自适应多场景的单用户柔性负控效果评价算法

Adaptive multi ⁃ scence single ⁃ user flexible load control effect evaluation algorithm

中文关键词: 柔性负控  神经网络  目标负荷曲线  广义距离

英文关键词: flexible load control  neural network  target load curve  generalized distance

中文摘要:

      为设计一种能够自适应多场景需求响应的评价算法，提高用户参与调控的意愿，提出了一种自适应单用户柔性负控评价算法。首先，提出了目标负荷曲线的认定方法，针对常见的评价指标特点，定义了曲线间的广义距离，通过对广义距离中预留参数的调整，使评价方案适应不同的场景。随后，提出了参数初始值的设定办法，利用该方法和神经网络，结合已有的评价样本，自适应确认广义距离中的各个参数。最后，通过常州绿建区的历史响应数据，验证了算法的有效性。

英文摘要:

      An adaptive single user flexible load control evaluation algorithm is proposed to design an evaluation scheme adapted to various demand response scenarios and improve users’willingness to participate in regulation and control. Firstly, the identification method of target load curve is proposed, and then the generalized distance between curves according to the characteristics of common evaluation indexes is defined. By adjusting the reserved parameters in the generalized distance, the evaluation scheme can be adapted to different scenes. Then, the method of setting initial parameter values is proposed. Using this method and the neural network, combining with the existing evaluation samples,each parameter in the generalized distance can be confirmed adaptively.Lastly, the effectiveness of this algorithm is verified based on the data of Lvjian area in Changzhou.