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Max-min Fairness for Demand Side Management Under High RES Penetration: Dealing With Undefined Consumer Valuation Functions

机译:高RES渗透率下需求侧管理的最大最小公平:处理未定义的消费者评估函数

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In energy communities with high penetration of renewables, electricity supply can become scarce during certain periods. In such cases, the objective of a resource allocation algorithm can be to minimize the disutility of the worst-off user of the community. This paper presents the problem of finding an optimal max-min fair allocation of available energy. A mixed-integer linear formulation is used to tackle the problem, so that the worst-off user’s disutility is minimized. The allocation results are compared to the standard approach that optimizes the system’s Social Welfare. The users’ disutility function models for electricity consuming devices, are based on their time-under-unsatisfied-demand, which is a measurable and comparable metric and does not rely on the user’s self reported valuation for energy consumption.
机译:在可再生能源普及率很高的能源社区中,电力供应在某些时期可能会变得稀缺。在这种情况下,资源分配算法的目标可以是最大程度地减少社区中最差的用户的使用率。本文提出了寻找可用能量的最佳最大-最小公平分配的问题。使用混合整数线性公式来解决该问题,从而使最差的用户的使用率降到最低。将分配结果与优化系统社会福利的标准方法进行比较。用户对用电设备的无效功能模型是基于他们的未满足需求时间,这是一个可衡量且可比的指标,并且不依赖用户自己报告的能耗估算。

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