Equilibrium models of coordinated electricity and natural gas markets with different coupling information exchanging channels

Wang, Jian; Xin, Hao; Xie, Ning; Wang, Yong

doi:10.1016/j.energy.2021.121827

Cited by 6 publications

(1 citation statement)

References 34 publications

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“…With the target of decarbonization, renewable generators are increasingly used to supply electricity instead of traditional fossil-fired generators [1,2]. However, they introduce uncertainties caused by unpredictable weather issues [3].…”

Section: Introductionmentioning

confidence: 99%

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

Wang,

Xie,

Huang

et al. 2023

Prot Control Mod Power Syst

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This 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.

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Section: Introductionmentioning

confidence: 99%