Two-stage stochastic-robust model for the self-scheduling problem of an aggregator participating in energy and reserve markets
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Published:2023-09-14
Issue:1
Volume:8
Page:
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ISSN:2367-2617
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Container-title:Protection and Control of Modern Power Systems
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language:en
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Short-container-title:Prot Control Mod Power Syst
Author:
Wang JianORCID, Xie Ning, Huang Chunyi, Wang Yong
Abstract
AbstractThis paper addresses a two-stage stochastic-robust model for the day-ahead self-scheduling problem of an aggregator considering uncertainties. The aggregator, which integrates power and capacity of small-scale prosumers and flexible community-owned devices, trades electric energy in the day-ahead (DAM) and real-time energy markets (RTM), and trades reserve capacity and deployment in the reserve capacity (RCM) and reserve deployment markets (RDM). The ability of the aggregator providing reserve service is constrained by the regulations of reserve market rules, including minimum offer/bid size and minimum delivery duration. A combination approach of stochastic programming (SP) and robust optimization (RO) is used to model different kinds of uncertainties, including those of market price, power/demand and reserve deployment. The risk management of the aggregator is considered through conditional value at risk (CVaR) and fluctuation intervals of the uncertain parameters. Case studies numerically show the economic revenue and the energy-reserve schedule of the aggregator with participation in different markets, reserve regulations, and risk preferences.
Funder
Key Research and Development Program of China China Scholarship Council
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Energy Engineering and Power Technology,Safety, Risk, Reliability and Quality
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