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Using optimal power flow for management of power flows in active distribution networks within thermal constraints

机译:在热限制内,使用最佳功率流来管理有源配电网中的功率流

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The Autonomous Regional Active Network Management System (AuRA-NMS) research consortium is investigating real time control algorithms for voltage control, power flow management (PFM) and restoration. The functionality offered by this developmental distributed control architecture meets the requirements of being a robust `plug and play' platform that must be safe, secure and have the ability to be flexible and extensible. Ongoing work has been investigating and comparing novel and existing control techniques for real-time power flow management which includes a current tracing method, a constraint programming approach and an optimal power flow (OPF) technique. This paper will discuss the properties of OPF and how these properties can be adapted, augmented and applied in a real time environment for solving distribution network power flow constraint problems using, in essence, real-time information available for normally non-dispatchable renewable generation. Proposed OPF problem formulations and case studies will be used to show how research undertaken to date will be taken forward to development and demonstration of the OPF algorithms for power flow constraint management.
机译:自治区域主动网络管理系统(AuRA-NMS)研究联盟正在研究用于电压控制,潮流管理(PFM)和恢复的实时控制算法。这种发展性的分布式控制体系结构提供的功能满足了成为可靠的“即插即用”平台的要求,该平台必须安全,可靠并且具有灵活性和可扩展性。正在进行的工作一直在研究和比较用于实时潮流管理的新颖和现有控制技术,包括电流跟踪方法,约束编程方法和最佳潮流(OPF)技术。本文将讨论OPF的特性,以及如何在实时环境中使用,可用于正常情况下不可分配的可再生能源的实时信息来解决,扩展和应用这些特性,以解决配电网潮流约束问题。拟议的OPF问题公式和案例研究将用于显示迄今为止进行的研究将如何被用于开发和演示用于潮流约束管理的OPF算法。

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