A flexible tool for integrated planning of active distribution networks
作者： Robin Drogemuller , Ali Arefi , Anula Abeygunawardana , Gerard Ledwich , Fanny Boulaire
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摘要: This paper presents a flexible and integrated planning tool for active distribution network to maximise the benefits of having high level s renewables, customer engagement, new technology implementations. The has two main processing parts: “optimisation” “forecast”. “optimization” part is an automated framework optimize net present value (NPV) investment strategy electric augmentation over large areas long horizons (e.g. 5 20 years) based on modified particle swarm optimization (MPSO). “forecast” agent-based produce load duration curves (LDCs) forecasts different levels energy storage controls, vehicles (EVs). In addition, connects existing databases utility proposed as well outputs profiles plan in Google Earth. enables divisions within analyze their programs options single platform using comprehensive information.
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