An efficient algorithm for real-time network reconfiguration in large scale unbalanced distribution systems

Jin-Cheng Wang, H. Chiang, G. Darling
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引用次数: 121

Abstract

Real-time applications demand fast computation, and this paper proposes an efficient algorithm for real-time network reconfiguration on large unbalanced distribution networks. A novel formulation of the network reconfiguration to achieve loss minimization and load balancing is given. To reduce computational requirements for the solution algorithm, well justified power flow and loss reduction formulae in terms of the on/off status of network switches are proposed for efficient system updating. The algorithm relies only on a few full power flow studies based on system states attained by explicit expressions using backward-forward sweeps for efficient computation of power system states at the critical system operating points. The solution algorithm runs in an amount of time linearly proportional to the number of tie switches and the number of sectionalizing switches in the system. The solution algorithm has been implemented into a software package and tested on unbalanced distribution systems including a system with 292 buses, 76 laterals, 7 transformers, 45 switches and 255 line sections under diverse system conditions.
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大规模不平衡配电网实时重构的一种有效算法
实时应用要求计算速度快,本文提出了一种用于大型不平衡配电网实时重构的高效算法。提出了一种新的网络重构方法,以实现损失最小化和负载均衡。为了减少求解算法的计算量,提出了基于网络交换机开/关状态的合理潮流和损耗降低公式,以实现有效的系统更新。该算法仅依赖于少量的全潮流研究,这些研究是基于系统状态的显式表达式,采用前向扫描的方法来有效地计算关键运行点的电力系统状态。求解算法的运行时间与系统中捆扎开关的数量和分段开关的数量成线性关系。求解算法已实现到一个软件包中,并在不同系统条件下的不平衡配电系统上进行了测试,该系统包括292条母线、76条支线、7台变压器、45个开关和255个线段。
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Development of the Intercontrol Center Communications Protocol (ICCP) [power system control] Hydropower generation management under uncertainty via scenario analysis and parallel computation Optimal fuzzy inference for short-term load forecasting Long-term/mid-term resource optimization of a hydro-dominant power system using interior point method The design of next generation SCADA systems
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