A Peak Reduction Scheduling Algorithm for Storage Devices on the Low Voltage Network
A Peak Reduction Scheduling Algorithm for Storage Devices on the Low Voltage Network
复制标题
低压网络存储设备调峰调度算法
DOI：
10.1109/tsg.2014.2323115
复制
发表时间：
2014
影响因子：
9.6
通讯作者：
B. Potter
中科院分区：
文献类型：
--
作者：
M. Rowe;Timur Yunusov;S. Haben;Colin Singleton;W. Holderbaum;B. Potter
随着网络需求的增加，加强低压 (LV) 配电网络对于确保其保持在运行限制范围内至关重要。在配电网中部署储能提供了传统加固的替代方案。本文提出了一种基于日前需求预测和历史需求数据的储能控制方法，以减少配电网的峰值需求。控制方法在规划阶段之前对预测数据进行预处理，以增强对预测需求与实际需求之间不可避免的误差的弹性。该算法不使用实时调整，因此比传统存储控制算法具有经济优势。结果表明，即使预测需求与实际需求存在差异，也可以降低馈线单相的峰值需求。特别是，所提供的结果表明，当该算法应用于大量单相需求聚合时，可以识别这些聚合中的哪些聚合是控制方法的最合适候选者。
Reinforcing the Low Voltage (LV) distribution network will become essential to ensure it remains within its operating constraints as demand on the network increases. The deployment of energy storage in the distribution network provides an alternative to conventional reinforcement. This paper presents a control methodology for energy storage to reduce peak demand in a distribution network based on day-ahead demand forecasts and historical demand data. The control methodology pre-processes the forecast data prior to a planning phase to build in resilience to the inevitable errors between the forecasted and actual demand. The algorithm uses no real time adjustment so has an economical advantage over traditional storage control algorithms. Results show that peak demand on a single phase of a feeder can be reduced even when there are differences between the forecasted and the actual demand. In particular, results are presented that demonstrate when the algorithm is applied to a large number of single phase demand aggregations that it is possible to identify which of these aggregations are the most suitable candidates for the control methodology.