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首页> 外文期刊>Journal of electrical and computer engineering >Comparison of Optimization- and Rule-Based EMS for Domestic PV-Battery Installation with Time-Varying Local SoC Limits
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Comparison of Optimization- and Rule-Based EMS for Domestic PV-Battery Installation with Time-Varying Local SoC Limits

机译：以时变本地SOC限制对国内PV电池安装的优化和规则基于EMS的比较

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摘要

Renewable energy is identified as a solution for the growing future electricity demand. Photovoltaic (PV) is a leading type of renewable energy source used for electricity generation. Among the PV systems, distributed PV systems are becoming popular among the domestic consumers and hence the number of domestic PV installations is on the rise continuously. Intermittent output power variations and inability to use the PV power during the night peak hours are major issues with PV systems. Energy storage is a possible mitigation technique for these issues. In order to effectively utilize local generations, storage, and loads, energy management system (EMS) becomes an essential component in future domestic PV installations. EMS for domestic consumers needs to be inexpensive, while a reasonable accuracy level is maintained. In this paper, optimization problem-based EMS and rule-based EMS were developed and compared to investigate the accuracy and the processing speed, thereby to select a fast and accurate EMS for a domestic PV installation. Furthermore, in the proposed EMS, a day-ahead generation and load profiles are generated from predictions, and thus the battery's state of charge (SoC) levels over a day is estimated through the EMS. In order to utilize the storage effectively, time-varying local maximum and minimum SoC limits for the battery are introduced, which are inside the global maximum and minimum SoC limits. With the aid of real-PV profiles and typical loading profiles, the EMS was implemented using optimization- and rule-based techniques with local SoC limits. The results verified that the rule-based EMS produced accurate results in comparison to optimization-based EMS with lesser processing time. Further results verified that the introduction of local SoC limits improved the performance of the EMS in the unforeseen conditions.
机译：可再生能源被确定为不断增长的未来电力需求的解决方案。光伏（PV）是用于发电的可再生能源的领先类型。在光伏系统中，分布式光伏系统在国内消费者中遭受流行，因此国内光伏设施的数量正在持续上升。间歇输出功率变化和无法在夜间使用光伏电量的功率变化是PV系统的主要问题。能量存储是这些问题的可能缓解技术。为了有效地利用当地世代，存储和负载，能量管理系统（EMS）成为未来国内PV安装中的重要组成部分。国内消费者的EMS需要廉价，而合理的准确度保持。在本文中，开发了基于优化问题的EMS和基于规则的EMS，并比较了研究精度和处理速度，从而为家庭光伏安装选择快速准确的EMS。此外，在所提出的EMS中，从预测产生一天的一代生成和负载曲线，因此通过EMS估计电池的电池充电状态（SOC）水平。为了有效地利用存储器，引入了电池的时变局部最大和最小SOC限制，其在全局最大值和最小SOC限制内。借助Real-PV配置文件和典型的装载简介，EMS使用基于优化和规则的技术进行了利用本地SoC限制来实现。结果证明，与基于优化的EMS具有较小的处理时间的优化EMS，产生了基于规则的EMS。进一步的结果证实，引入当地SOC限制改善了EMS在无法预料的条件下的性能。

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