基于公平分配的软负荷削减
Fair Allocation Based Soft Load Shedding
摘要：
可再生能源在发电中占据中心地位。由于这些可再生资源的间歇性，出现了供需缺口的问题。为了解决这个问题，在文献中已经在成本（添加峰值发电厂）、数据的可用性（需求侧管理“DSM”）、硬件基础设施（设备控制DSM）和安全性（电压降低）方面提出了几种技术。然而，这些解决方案在电力分配方面并不公平。在许多情况下，尽管在高峰时段可用的供应可能与需求不匹配，但是，总的总需求仍然小于全天的总供应。切负荷（完全停电）是一种常用的解决供需缺口的方法，它会造成巨大的经济损失。为了解决供需缺口问题，我们提出了一种称为软负荷削减（SLS）的解决方案，该方案以公平的方式将电力配额分配给每个家庭。我们通过定义一个家庭满意度函数来衡量SLS的公平性。我们用参数函数对家庭效用进行建模，并将SLS问题转化为一个社会福利问题。我们亦将公平分配产生的收益视为表现计量。为了评估我们的方法，在合成和真实世界的数据集上进行了广泛的实验，并将我们的模型与几个基线进行了比较，以显示其在公平分配和创收方面的有效性。
英文摘要：
Renewable sources are taking center stage in electricity generation. Due to the intermittent nature of these renewable resources, the problem of the demand-supply gap arises. To solve this problem, several techniques have been proposed in the literature in terms of cost (adding peaker plants), availability of data (Demand Side Management "DSM"), hardware infrastructure (appliance controlling DSM) and safety (voltage reduction). However, these solutions are not fair in terms of electricity distribution. In many cases, although the available supply may not match the demand in peak hours, however, the total aggregated demand remains less than the total supply for the whole day. Load shedding (complete blackout) is a commonly used solution to deal with the demand-supply gap, which can cause substantial economic losses. To solve the demand-supply gap problem, we propose a solution called Soft Load Shedding (SLS), which assigns electricity quota to each household in a fair way. We measure the fairness of SLS by defining a function for household satisfaction level. We model the household utilities by parametric function and formulate the problem of SLS as a social welfare problem. We also consider revenue generated from the fair allocation as a performance measure. To evaluate our approach, extensive experiments have been performed on both synthetic and real-world datasets, and our model is compared with several baselines to show its effectiveness in terms of fair allocation and revenue generation.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
