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Multi-Scenario Based Bi-Level Coordinated Planning of Active Distribution System Under Uncertain Environment

机译:不确定环境下基于多场景的主动配电系统双层协调规划

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摘要

The recent large-scale integration of renewable energy sources (RESs) has caused numerous operational issues, thereby leading to the transfers of the power distribution system from passive to active ones. Therefore, a comprehensive planning of active distribution system (ADS) is required to address these challenges and ensure a reliable power supply. This study presents a stochastic framework for ADS planning using system framework design, RESs, and distribution-static compensator (DSTATCOM). Unlike the traditional single-level planning, a bi-level planning model is proposed, in which the integrated optimal decision is aimed at upper-level planning, whereas RESs and DSTATCOM are incorporated in lower-level planning. Moreover, new and logical indexes are developed to address techno-economic and environmental aspects. To effectively consider the intermittency of load and RESs, a novel approach is developed considering probabilistic models and K-means algorithm. Finally, to solve the planning model, discrete rooted tree optimization technique is proposed and its superiority is established.
机译:最近可再生能源的大规模整合(RES)引起了许多运行问​​题,从而导致配电系统从无源向有源转移。因此,需要对有源配电系统(ADS)进行全面规划,以解决这些挑战并确保可靠的电源供应。这项研究提出了一种使用系统框架设计,RES和配电静态补偿器(DSTATCOM)进行ADS规划的随机框架。与传统的单级计划不同,提出了一种双级计划模型,其中综合最优决策针对上级计划,而RES和DSTATCOM则纳入了下级计划。此外,还开发了新的逻辑索引来解决技术经济和环境方面的问题。为了有效地考虑载荷和RES的间歇性,开发了一种考虑概率模型和K-means算法的新方法。最后,为解决规划模型,提出了离散根树优化技术,并建立了其优越性。

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