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Optimization algorithms minimize the impact of electric vehicle charging on grid congestion
技术
- 平台即服务 (PaaS) - 连接平台
适用行业
- 公用事业
适用功能
- 物流运输
用例
- 能源管理系统
- 车载远程信息处理
服务
- 云规划/设计/实施服务
- 数据科学服务
挑战
爱尔兰电力供应委员会 (ESB) 在其大规模电动汽车 (EV) 计划中面临挑战。电动汽车充电导致的电力需求增加可能会破坏电网的稳定性。ESB 需要一种解决方案来优化充电负载,而不会对消费者体验产生负面影响。此外,他们希望通过使客户的使用模式与能源价格波动保持一致,为客户提供一种优化消费的方法。
关于客户
电力供应委员会 (ESB) 是爱尔兰能源公用事业领域的领先公司。ESB 成立于 1927 年,总部位于都柏林,是一家垂直整合的公用事业公司。该组织拥有约 7,800 名员工。其 ESB 网络部门拥有并运营电力传输和配电系统,服务于爱尔兰共和国的所有电力客户以及所有发电厂和电力供应商。
解决方案
ESB 实施了 IBM 智能电动汽车支持平台和 IBM 全球商业服务 — 商业咨询服务。他们构建了一个充电解决方案,该解决方案使用优化算法来分配电动汽车充电容量,以最大限度地减少电网负载压力,同时最大限度地提高客户便利性。他们的智能计量解决方案为客户提供了近乎实时的定价见解,使他们能够将电力使用与非高峰电网容量时段保持一致。
运营影响
数量效益
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