新闻聚合器
需求响应
斯塔克伯格竞赛
灵活性(工程)
双层优化
随机规划
可控性
电力市场
负荷管理
环境经济学
盈利能力指数
电
博弈论
微观经济学
业务
运筹学
计算机科学
经济
最优化问题
数学优化
工程类
数学
管理
财务
算法
应用数学
电气工程
操作系统
作者
Kenneth Bruninx,Hrvoje Pandžić,Hélène Le Cadre,Erik Delarue
标识
DOI:10.1109/tpwrs.2019.2943670
摘要
To decarbonize the heating sector, residential consumers may install heat pumps. Coupled with heating loads with high thermal inertia, these thermostatically controlled loads may provide a significant source of demand side flexibility. Since the capacity of residential consumers is typically insufficient to take part in the day-ahead electricity market (DAM), aggregators act as mediators that monetize the flexibility of these loads through demand response (DR). In this paper, we study the strategic interactions between an aggregator, its consumers and the DAM using a bilevel optimization framework. The aggregator-consumer interaction is captured either as a Stackelberg or a Nash Bargaining Game, leveraging chance-constrained programming to model limited controllability of residential DR loads. The aggregator takes strategic positions in the DAM, considering the uncertainty on the market outcome, represented as a stochastic Stackelberg Game. Results show that the DR provider-aggregator cooperation may yield significant monetary benefits. The aggregator cost-effectively manages the uncertainty on the DAM outcome and the limited controllability of its consumers. The presented methodology may be used to assess the value of DR in a deregulated power system or may be directly integrated in the daily routine of DR aggregators.
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