Coordinated management of low voltage power networks with photovoltaic energy sources

B. Rojas, M. Alonso, H. Amaris, L. González
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Abstract

Over the last decades, active power networks have reached great attention due to the incorporation of distributed energy resources into low voltage power systems. In this paper, a decentralized energy management strategy is proposed as an efficient way to minimize both active power losses and voltage profile deviation of an distribution power network with photovoltaic solar farms, and also at the same time, aims to improve the reliability and the security of supply. The coordinated energy management concept relies on a two-step optimization approach based on genetic algorithms (GA) and MINLP, in which a multi-objective function is used which takes into account reliability and operational technical constraints in its formulation. The suitability of the proposed methodology is tested on an existing low voltage power system, in which two aspects are considered: firstly, determining the optimal allocation of PV units and secondly, establishing the optimal reschedule of the active power of the generation units participating in the energy mix and minimizing both the real power losses and voltage deviation of the entire power system.
低压电网与光伏能源的协同管理
在过去的几十年里,由于将分布式能源纳入低压电力系统,有功电网受到了极大的关注。本文提出了一种分散的能源管理策略,以最大限度地减少光伏太阳能发电场配电网的有功功率损耗和电压分布偏差,同时提高供电的可靠性和安全性。协调能源管理概念基于遗传算法(GA)和MINLP的两步优化方法,其中使用了考虑可靠性和操作技术约束的多目标函数。在已有的低压电力系统上验证了所提方法的适用性,其中考虑了两个方面:一是确定光伏机组的最优配置,二是建立参与能源结构的发电机组有功功率的最优重新调度,使整个电力系统的实际功率损耗和电压偏差最小化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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