考虑居民热负荷主动需求响应的园区综合能源系统分布式优化运行方法

Distributed Optimal Operation Method of Park-level Integrated Energy System Considering Active Demand Response of Residential Heat Loads

主动需求侧响应(active demand response,ADR)不仅可降低综合能源系统运行和投资费用,还可应用其灵活性更多地消纳清洁间歇性可再生能源和降低碳排放。为深度挖掘居民热负荷动态特性所蕴含的灵活性ADR资源以及考虑用户隐私需要,该文通过对其进行精细化建模,提出了一种可适用于多用户的园区综合能源系统分布式优化运行方法。首先,对居民热负荷ADR资源进行精细化状态空间建模;其次,以此为基础,建立考虑居民热用户ADR的园区综合能源系统优化运行模型;然后,考虑用户隐私保护需要,提出基于交替方向乘子法将系统整体大规模优化问题解耦为供给侧和需求侧子问题后实现分布式精确求解;最后,通过对含128户居民用户的典型园区综合能源系统算例进行分析,验证了该文方法的有效性。

Active demand response(ADR)can not only reduce the operating and investment costs of integrated energy systems,but also apply its flexibility to more absorb clean intermittent renewable energies and reduce carbon emissions.In order to explore deeply the flexible ADR resources contained in the dynamic characteristics of residential heat loads and consider the residential privacy protection,this paper proposes a park-level integrated energy system optimal operation method for multi-users through fine residential heat loads ADR modeling.Firstly,the refined state space modeling of ADR resources of residential heat loads is carried out;Secondly,on this basis,the operation optimization model of a park-level integrated energy system considering ADR of residential heat loads is established;Thirdly,considering the users’privacy protection,an algorithm based on alternating direction method of multipliers is proposed to decouple the overall large-scale optimization problem into both supply-side and demand-side subproblems to achieve distributed precise solution;Finally,a typical park-level integrated energy system with 128 residential users is analyzed to verify the effectiveness of the proposed method.