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Management Scheme for Increasing the Connectivity of Small-Scale Renewable DG

机译:小型可再生能源发电的互联互通管理方案

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摘要

This paper presents a planning model and an active network management (ANM) scheme for increasing small-scale renewable distributed generation (DG) capacity in distribution networks. The capacity of each DG unit is assumed to include two components: 1) unconditional and 2) conditional. Unconditional DG capacity is calculated using an appropriate economic model that ensures adequate profit for DG investors. For all online distribution system conditions, a DG unit whose capacity is less than or equal to the unconditional DG capacity is granted permission to inject power into the system without curtailment. The first phase of this work involved the development of a proposed planning model that maximizes the number of DG units installed based on the calculated unconditional capacity. Any capacity higher than the unconditional DG capacity is considered conditional capacity. The second phase of this work is focused on an ANM scheme for minimizing the curtailment of conditional DG capacity using a novel scalable optimization model. The simulation results show that the proposed planning model with the ANM scheme significantly increases the photovoltaic (PV) DG capacity that can be installed. The simulation results indicate that online operation of the proposed ANM scheme would provide a favorable outcome and enhanced performance.
机译:本文提出了一种规划模型和一种主动网络管理(ANM)方案,用于增加配电网中的小型可再生分布式发电(DG)容量。假设每个DG单元的容量包括两个组成部分:1)无条件和2)有条件。无条件DG容量是使用适当的经济模型计算得出的,该模型可确保DG投资者有足够的利润。对于所有在线配电系统条件,其容量小于或等于无条件DG容量的DG单元均被允许在不限制功率的情况下向系统中注入电力。这项工作的第一阶段涉及拟议的计划模型的开发,该模型将根据计算出的无条件能力最大化安装的DG装置的数量。高于无条件DG容量的任何容量均被视为有条件容量。这项工作的第二阶段着眼于ANM方案,该方案使用新颖的可扩展优化模型将条件DG容量的缩减最小化。仿真结果表明,所提出的带有ANM方案的规划模型显着增加了可安装的光伏(PV)DG容量。仿真结果表明,所提出的ANM方案的在线运行将提供良好的结果并提高性能。

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