Maria Elisa Fernandes Octaviano;Eduardo Mendes Loureiro;Leandro Ramos de Araujo;Debora Rosana Ribeiro Penido de Araujo
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引用次数: 0
摘要
本文提出了一种在不平衡配电系统中分配和控制蓄电池充电状态的方法。提出了与放电深度有关的限制条件,以及电池的额定容量和工作温度下的工作容量之间的关系。提议的优化集是一个具有时间耦合的混合整数非线性问题,因此使用遗传算法方法和准静态时间序列技术来解决提议的问题。此外,还提出了一种使用 k 因子验证电池分配经济可行性的简单技术。使用 OpenDSS 解决了功率流方程。使用 IEEE34 节点测试馈线完成了多项运行测试。结果表明,深度放电和工作温度对电池的工作周期和使用寿命有很大影响。
Battery Allocation and SOC in Distribution Systems Considering Temperature Constraints
This paper proposes a method for allocating and controlling batteries' state of charge in unbalanced distribution systems. Restrictions related to the depth of discharges and the relation between the nominal and operating capacity of the battery in relation to the operating temperature are proposed. The proposed optimization set is a mixed integer nonlinear with temporal coupling, so the genetic algorithm method was used with the quasi-static times series technique to solve the proposed problem. A simple technique to verify the economic feasibility of battery allocation using a k-factor is also proposed. The power flow equations were solved using OpenDSS. Several operational tests were accomplished using the IEEE34 Node Test Feeders. The results show that the consideration of deep discharge and operating temperature considerably impact the battery operating cycle and battery lifetime.
期刊介绍:
IEEE Latin America Transactions (IEEE LATAM) is an interdisciplinary journal focused on the dissemination of original and quality research papers / review articles in Spanish and Portuguese of emerging topics in three main areas: Computing, Electric Energy and Electronics. Some of the sub-areas of the journal are, but not limited to: Automatic control, communications, instrumentation, artificial intelligence, power and industrial electronics, fault diagnosis and detection, transportation electrification, internet of things, electrical machines, circuits and systems, biomedicine and biomedical / haptic applications, secure communications, robotics, sensors and actuators, computer networks, smart grids, among others.