Abstract This paper addresses the problem of managing load under energy scarcity in islanded microgrids with multiple customers and distributed solar generation and battery storage. We explore an understudied, practical approach of scheduling customer-specific load limits that does not require direct control of appliances or a market environment. We frame this as a stochastic, model-predictive control problem with forecasts of solar resource and electricity demand, and develop alternative solutions with two-stage stochastic programming and approximate dynamic programming. We test the efficacy of the alternative solutions against heuristic and deterministic controllers in an environment simulating the customers’ responses to load limits. We show that using forecasts to schedule limits can significantly improve power availability and the customers’ benefits from consumption, even without the controller having a full model of the customers’ responses.

中文翻译：

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能量受限微电网中预测不确定性下的非侵入式负载管理

摘要 本文解决了在具有多个客户和分布式太阳能发电和电池存储的孤岛微电网中能源稀缺情况下的负载管理问题。我们探索了一种未经研究的实用方法来安排客户特定的负载限制，不需要直接控制设备或市场环境。我们将其构建为具有太阳能资源和电力需求预测的随机、模型预测控制问题，并开发具有两阶段随机规划和近似动态规划的替代解决方案。我们在模拟客户对负载限制的响应的环境中针对启发式和确定性控制器测试替代解决方案的功效。