Energy procurement of large industrial consumer via interval optimization approach considering peak demand management

Farham, Habib; Mohammadian, Leila; Alipour, Hasan; Pouladi, Jaber

doi:10.1016/j.scs.2019.101421

Cited by 17 publications

(2 citation statements)

References 25 publications

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“…The WT output energy generation could be determined using () 49,58 . There are other similar models with nonlinear functions for the wind speed between the cut‐in and the rated wind speeds 59,60 . However, the accuracy of these models is not significantly different from that explained in ().…”

Section: Ress'uncertainty Modelingmentioning

confidence: 99%

Optimal probabilistic scenario‐based operation and scheduling of prosumer microgrids considering uncertainties of renewable energy sources

Faraji

Hashemi‐Dezaki

Ketabi

2020

Energy Science & Engineering

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Section: Ress'uncertainty Modelingmentioning

confidence: 99%

Optimal probabilistic scenario‐based operation and scheduling of prosumer microgrids considering uncertainties of renewable energy sources

Faraji

Hashemi‐Dezaki

Ketabi

2020

Energy Science & Engineering

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“…The research on portfolio optimization problems of GenCos has investigated different aspects, such as strategic bidding [15,16], risk management [17,18], and congestion charges [19]. For some LCs who have their own power plants with a small capacity, the optimal electricity procurement from the market with determined factors or uncertain information has been studied [20][21][22][23]. Competition in the contract market is crucial for LCs and GenCos, because with competition, both sides will be more actively involved in trading, which will make the contract electricity price more reasonable [24].…”

Section: Introductionmentioning

confidence: 99%

An Agent-Based Two-Stage Trading Model for Direct Electricity Procurement of Large Consumers

et al. 2019

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Many electricity markets around the world are still at developmental and transitional stages. To complete the transition and achieve the key objectives of perfect market design, designers often choose direct electricity procurement of large consumers (LCs) as a pilot. The trading mechanism is critical because it lays the foundation for the exploration of formulating a trading model and the succeeding solution; however, the existing trading mechanisms of direct electricity procurement struggle to cope with new challenges that electric power systems are facing. This paper proposes a novel two-stage trading mechanism, considering both the fairness and efficiency of direct electricity procurement. Based on the proposed trading mechanism, an agent-based trading model with multiple participants is developed. The simulation results of the transactions between LCs and generation companies (GenCos) illustrate the feasibility and effectiveness of the proposed mechanism. With this mechanism, LCs and GenCos will have more choices in the trading process and can benefit from the reduction of the average market price. The two-stage trading model provides a new choice for market designers and participants of direct electricity procurement.

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Implementation of sustainable energy management

Radovanović

2023

Sustainable Energy Management

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Energy procurement of large industrial consumer via interval optimization approach considering peak demand management

Cited by 17 publications

References 25 publications

Optimal probabilistic scenario‐based operation and scheduling of prosumer microgrids considering uncertainties of renewable energy sources

Optimal probabilistic scenario‐based operation and scheduling of prosumer microgrids considering uncertainties of renewable energy sources

An Agent-Based Two-Stage Trading Model for Direct Electricity Procurement of Large Consumers

Implementation of sustainable energy management

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