Abstract—We introduce an algorithm to solve the problem of load balancing and loss minimization in distribution networks impacted by temporary service restoration activities. The novelty of the proposed algorithm lies in employing utility directed usage of customer distributed battery energy storage systems, which are assumed to be present and available in the network. With increasing penetration of distributed renewable energy sources, such as photovoltaics and wind turbines, it is projected that batteries will also increasingly be adopted to address some of the new challenges with renewables, such as the so-called duck curve challenge. The deployment of the proposed solution is achieved through demand response signals. To verify its benefits, we develop a co-simulation framework which can be used to develop and study distribution level optimization techniques that exploit the interaction between a smart electric grid, smart buildings and distributed energy storage to achieve energy and cost savings and better energy management practices beyond what one can achieve through techniques applied at the building or network levels only. The proposed algorithm is implemented and verified within the co-simulation framework tool, SmartBuilds. Simulations show that energy storage systems can be used for temporary relief of distribution networks impacted by line failures.

中文翻译：

---

在配电网中使用分布式储能进行负载平衡和功率损耗最小化的案例

摘要——我们引入了一种算法来解决受临时服务恢复活动影响的配电网络中的负载平衡和损耗最小化问题。所提出的算法的新颖之处在于采用客户分布式电池储能系统的效用定向使用，这些系统被假定为存在并在网络中可用。随着分布式可再生能源（如光伏和风力涡轮机）的渗透率不断提高，预计电池也将越来越多地被用于应对可再生能源的一些新挑战，例如所谓的鸭曲线挑战。所提议的解决方案的部署是通过需求响应信号实现的。为了验证它的好处，我们开发了一个联合仿真框架，可用于开发和研究配电水平优化技术，利用智能电网、智能建筑和分布式能源存储之间的相互作用来实现能源和成本节约以及更好的能源管理实践。仅通过应用于建筑物或网络级别的技术来实现。所提出的算法是在协同仿真框架工具 SmartBuilds 中实现和验证的。模拟表明，储能系统可用于临时缓解受线路故障影响的配电网络。智能建筑和分布式能源存储，以实现能源和成本节约以及更好的能源管理实践，这超出了仅通过应用于建筑或网络级别的技术所能实现的。所提出的算法是在协同仿真框架工具 SmartBuilds 中实现和验证的。模拟表明，储能系统可用于临时缓解受线路故障影响的配电网络。智能建筑和分布式能源存储，以实现能源和成本节约以及更好的能源管理实践，这超出了仅通过应用于建筑或网络级别的技术所能实现的。所提出的算法是在协同仿真框架工具 SmartBuilds 中实现和验证的。模拟表明，储能系统可用于临时缓解受线路故障影响的配电网络。