随着新型电力系统的建设,虚拟电厂(Virtual Power Plant,VPP)在整合分布式能源、可控负荷以及储能资源方面发挥着重要作用。评估虚拟电厂中不同用户的需求响应潜力对于优化电网调度、提升电网运行效率具有重要意义。本文提出了一种基于...随着新型电力系统的建设,虚拟电厂(Virtual Power Plant,VPP)在整合分布式能源、可控负荷以及储能资源方面发挥着重要作用。评估虚拟电厂中不同用户的需求响应潜力对于优化电网调度、提升电网运行效率具有重要意义。本文提出了一种基于负荷时间弹性和价格弹性相结合的需求响应潜力评估方法,并结合熵权法确定各指标的权重,旨在实现对用户需求响应能力的全面量化评估。通过对浙江金华地区典型电力用户的实证分析,本文验证了所提出方法的有效性和实用性。研究结果表明,负荷时间弹性在评估中起到了关键作用,而价格弹性影响相对较小。此外,本文的方法能够通过数据驱动的聚类分析,识别不同用户的负荷特性,从而为虚拟电厂的优化调度提供依据。本文的研究为新型电力系统下虚拟电厂的需求响应管理提供了理论支持,并为未来研究指出了进一步改进的方向。展开更多
Efficiently solving the user equilibrium traffic assignment problem with elastic demand(UE-TAPED)for transportation networks is a critical problem for transportation studies.Most existing UE-TAPED algorithms are desig...Efficiently solving the user equilibrium traffic assignment problem with elastic demand(UE-TAPED)for transportation networks is a critical problem for transportation studies.Most existing UE-TAPED algorithms are designed using a sequential computing scheme,which cannot take advantage of advanced parallel computing power.Therefore,this study focuses on model decomposition and parallelization,proposing an origin-based formulation for UE-TAPED and proving an equivalent reformulation of the original problem.Furthermore,the alternative direction method of multipliers(ADMM)is employed to decompose the original problem into independent link-based subproblems,which can solve large-scale problems with small storage space.In addition,to enhance the efficiency of our algorithm,the parallel computing technology with optimal parallel computing schedule is implemented to solve the link-based subproblems.Numerical experiments are performed to validate the computation efficiency of the proposed parallel algorithm.展开更多
文摘随着新型电力系统的建设,虚拟电厂(Virtual Power Plant,VPP)在整合分布式能源、可控负荷以及储能资源方面发挥着重要作用。评估虚拟电厂中不同用户的需求响应潜力对于优化电网调度、提升电网运行效率具有重要意义。本文提出了一种基于负荷时间弹性和价格弹性相结合的需求响应潜力评估方法,并结合熵权法确定各指标的权重,旨在实现对用户需求响应能力的全面量化评估。通过对浙江金华地区典型电力用户的实证分析,本文验证了所提出方法的有效性和实用性。研究结果表明,负荷时间弹性在评估中起到了关键作用,而价格弹性影响相对较小。此外,本文的方法能够通过数据驱动的聚类分析,识别不同用户的负荷特性,从而为虚拟电厂的优化调度提供依据。本文的研究为新型电力系统下虚拟电厂的需求响应管理提供了理论支持,并为未来研究指出了进一步改进的方向。
基金supported by the National Natural Science Foundation of China(Nos.52302391,5202375,and 52131203)the Natural Science Foundation of Jiangsu Province,China(No.BK20210247)the Fundamental Research Funds for the Central Universities,China(No.2242022R40025).
文摘Efficiently solving the user equilibrium traffic assignment problem with elastic demand(UE-TAPED)for transportation networks is a critical problem for transportation studies.Most existing UE-TAPED algorithms are designed using a sequential computing scheme,which cannot take advantage of advanced parallel computing power.Therefore,this study focuses on model decomposition and parallelization,proposing an origin-based formulation for UE-TAPED and proving an equivalent reformulation of the original problem.Furthermore,the alternative direction method of multipliers(ADMM)is employed to decompose the original problem into independent link-based subproblems,which can solve large-scale problems with small storage space.In addition,to enhance the efficiency of our algorithm,the parallel computing technology with optimal parallel computing schedule is implemented to solve the link-based subproblems.Numerical experiments are performed to validate the computation efficiency of the proposed parallel algorithm.
