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Enhancement of network capacity by widespread intelligent generator control

机译:通过广泛的智能发电机控制增强网络容量

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Electricity networks are called on to accommodate more and more generation capacity in order to supply the increasing demand. Social, planning and environmental reasons hinder the expansion of the existing infrastructure, whereas lack of investment prohibits its reinforcement. Therefore, the efficient utilisation of the existing network is not only suggested for economy, but also imposed by need. Consequently, the realisation of government targets for renewable energy will depend, in part, on the ability of developers and Distribution Network Operators (DNOs) to maximise generator capacities connected to the network whilst minimising negative impacts. One means of ensuring maximum capacity with minimal voltage impact is through the use of intelligent power factor and voltage control of generators and other network components. Previously published work demonstrated the benefits in terms of the minimisation of voltage variations and violations as well as the ability of larger generators to connect to the network. While the capacity benefit could be easily quantified for individual dispersed generators, it was more difficult to explore the benefit of widespread usage. To achieve this it was necessary to draw on earlier work that used Optimal Power Flow (OPF) techniques to evaluate the network capacity available for connecting dispersed generators. The capacity evaluation technique was extended such that it could incorporate the intelligent generator control algorithms and in doing so could find optimal levels of connections. The results of a case study indicate that intelligent power factor and voltage control of generators increases significantly the connecting capacity of existing networks.
机译:为了满足日益增长的需求,人们呼吁电网容纳越来越多的发电量。社会,计划和环境方面的原因阻碍了现有基础设施的扩展,而缺乏投资却阻碍了基础设施的加强。因此,不仅建议从经济上考虑对现有网络进行有效利用,而且还根据需要对其进行强加。因此,政府可再生能源目标的实现将部分取决于开发商和配电网络运营商(DNO)的能力,以最大化连接到网络的发电机容量,同时最大程度地减少负面影响。一种确保最大容量且电压影响最小的方法是通过使用智能功率因数以及发电机和其他网络组件的电压控制。先前发表的著作证明了在最大程度地减小电压变化和违规以及大型发电机连接到网络的能力方面的好处。尽管可以很容易地量化单个分散发电机的容量收益,但要探索广泛使用的收益却更加困难。为此,有必要利用早期的工作,即使用最佳功率流(OPF)技术评估可用于连接分散式发电机的网络容量。扩展了容量评估技术,使其可以合并智能发电机控制算法,从而可以找到最佳连接级别。案例研究结果表明,发电机的智能功率因数和电压控制显着提高了现有网络的连接能力。

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