Research on Demand Response Day-Ahead Scheduling Model for Multi-type Residential Customers

Aiming Chen, Lu Shan, Jingtao Wang, Xiuxin Chen, Xiao Chen
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Abstract

As residential customers can participate in demand response (DR) by lots of ways, it is challenging to formulate DR strategies to improve the regulation capability of the power system. To tackle this problem, this paper proposes a DR day-ahead scheduling model that considers different strategies for multiple-type residential customers. Firstly, according to the residential customers’ participation modes, the customers are classified into three types: hosting users, negotiating users and load aggregators (LA), and the corresponding regulation strategies for the flexible loads are developed. Secondly, the DR day-ahead scheduling model is established, the objective function is minimizing the customers’ discomfort, and the constraint condition considers the demand response request. Finally, a case study is performed to show the effect within DR through the model.
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多类型住宅用户需求响应日前调度模型研究
由于住宅用户可以通过多种方式参与需求响应,因此制定需求响应策略以提高电力系统的调节能力具有挑战性。为了解决这一问题,本文提出了一种考虑多类型住宅用户不同策略的DR日前调度模型。首先,根据住宅用户的参与方式,将用户分为托管用户、协商用户和负载聚合器三类,并制定了相应的柔性负荷调节策略。其次,建立了DR日前调度模型,目标函数为顾客不适最小,约束条件考虑需求响应请求;最后,通过一个案例研究来说明该模型在DR内的效果。
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