Back to Search
Journal ArticleUnknown

Retailer's risk‐aware trading framework with demand response aggregators in short‐term electricity markets

Author Affiliations
Chittagong University of Engineering & Technology, Queensland University of Technology
Published InIET Generation Transmission & Distribution
Year2019
Citations28

Abstract

A risk‐aware electricity retailer may alleviate concern about wholesale pool‐price volatility through coordinated demand response (DR) trading with aggregators who act as intermediaries between end‐users and the market operator (MO). This article proposes cost‐efficient integration of DR into electricity markets using a bi‐level optimisation framework. In the upper‐level, the retailer's problem is to maximise expected payoff, i.e. revenues earned by selling energy to end‐users minus the expected cost of purchasing from the wholesale energy pool and the DR aggregators. The evolving mean reverting volatility in pool electricity prices is captured as a stochastic jump‐diffusion process. The conditional value‐at‐risk (CVaR) measure is explicitly incorporated into the problem to limit the risk of payoff loss due to the price volatility. The lower‐level…
View at Publisher

BORR does not host full-text PDFs. The button above takes you to the original publisher.