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

Georgios Tsaousoglou, P. Pinson, N. Paterakis
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引用次数: 12

Abstract

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.
高RES渗透率下需求侧管理的最大最小公平性:处理未定义的消费者估值函数
在可再生能源普及率高的能源社区,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小化社区中最穷用户的负效用。本文提出的问题是寻找一个最优的最大-最小可用能源的公平分配。使用混合整数线性公式来解决问题,使最差用户的负效用最小化。将分配结果与优化系统社会福利的标准方法进行比较。用户对用电设备的负效用函数模型是基于其未满足的时间需求,这是一个可测量和可比的度量,不依赖于用户对能源消耗的自我报告估值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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