Optimized power flow control of smart grids with electric vehicles and DER

M. Georgiev, R. Stanev, A. Krusteva
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引用次数: 7

Abstract

In this article an application for optimization of the energy flows in smart power systems consisting of electric vehicles (EV), distributed energy sources (DER), flexible loads and bidirectional storage is proposed. An optimization model for energy distribution between electric vehicles, electric storage devices and photovoltaic generators is presented. A nonlinear optimization problem with linear constrains for optimizing the power flows in the system is defined and solved. A multi-objective problem is defined in respect to satisfy PV production criteria and to maximize the power flow to the EVs. An algorithm for finding the optimal solution of the multi-objective optimization problem is proposed. The approach is very useful for energy flow control and analyzis of DER behavior. The algorithm proposed for solving multi-objective problem is applicable when a storage and PV generation units are used in the DER system. The advantages of external storage utilization in the distributed systems are shown.
基于电动汽车和DER的智能电网潮流优化控制
本文提出了在由电动汽车、分布式能源、柔性负荷和双向储能组成的智能电力系统中能量流优化的应用。提出了一种电动汽车、储能装置和光伏发电机之间能量分配的优化模型。定义并求解了具有线性约束的系统潮流优化非线性优化问题。在满足光伏生产标准和最大化电动汽车功率流方面,定义了一个多目标问题。提出了一种求解多目标优化问题最优解的算法。该方法对能量流控制和DER特性分析具有重要意义。所提出的多目标问题求解算法适用于分布式发电系统中同时使用储能和光伏发电机组的情况。说明了在分布式系统中利用外部存储的优点。
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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