Abstract This paper proposes a bilevel multi-house energy management (MHEM) framework to coordinate the residential demand response (DR) of heterogeneous households based on many-criteria optimality. In the upper level, the loss of life (LOL) cost of transformers is formulated into the DR cost model, and a stochastic scheduling is implemented to determine the optimum amount of transformer load deferment and curtailment. The lower level aims to optimally allocate the transformer load from the aggregator to individual households, and a many-criteria DR optimality model is proposed to maximize the multi-house benefits from DR while achieving coordination of the DR participation. Furthermore, a hypercube spatial transformation based classification and sorting scheme is developed to form an evolutionary many-objective (EMO) algorithm in order to solve the many-criteria decision making (MCDM) problem of coordinated DR with numerous participants. The performance of the proposed method was benchmarked and validated on different scaled neighborhood systems over a 24-h scheduling horizon, and comparative results demonstrated its superiority and optimality in solving many-house DR problems.

中文翻译：

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异质家庭协调需求响应的多准则最优性

摘要 本文提出了一种双层多户能源管理（MHEM）框架，以基于多标准最优性协调异质家庭的住宅需求响应（DR）。在上层，变压器的寿命损失（LOL）成本被公式化到DR成本模型中，并实施随机调度以确定变压器负载延迟和缩减的最佳量。下层旨在将变压器负载从聚合器优化分配到各个家庭，并提出了多标准需求响应优化模型，以在实现需求响应参与的协调的同时，最大化需求响应的多户收益。此外，开发了基于超立方体空间变换的分类和排序方案，以形成进化多目标 (EMO) 算法，以解决多参与者协调 DR 的多标准决策 (MCDM) 问题。所提出方法的性能在 24 小时调度范围内的不同规模邻域系统上进行了基准测试和验证，比较结果证明了其在解决多户 DR 问题方面的优越性和最优性。