Two-stage stochastic-robust model for the self-scheduling problem of an aggregator participating in energy and reserve markets-Reference-Cited by-同舟云学术

Two-stage stochastic-robust model for the self-scheduling problem of an aggregator participating in energy and reserve markets

Published:2023-09-14 Issue:1 Volume:8 Page:
ISSN:2367-2617
Container-title:Protection and Control of Modern Power Systems
language:en
Short-container-title:Prot Control Mod Power Syst

Author:

Wang Jian^ORCID,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

Link

https://link.springer.com/content/pdf/10.1186/s41601-023-00320-y.pdf

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