Combined cycle resource scheduling in ERCOT nodal market

Hui, Hailong; Yu, Chien-Ning; Gao, Feng; Surendran, Resmi

doi:10.1109/pes.2011.6039463

Cited by 25 publications

(14 citation statements)

References 3 publications

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“…In particular, some of the wholesale electricity markets in North America are interested in implementing more sophisticated combined-cycle modeling [6] [7].…”

Section: Introductionmentioning

confidence: 99%

Advanced combined-cycle modeling

Ammari

Cheung

2013

2013 IEEE Grenoble Conference

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Accurate modeling of combined-cycle power plants is an increasingly important part of more efficient operations of restructured power systems. This paper aims to enhance the existing standard modeling of combined-cycle power plants in real-time generation control, planning and scheduling applications of Energy Management Systems (EMS) and Energy Market Management Systems (MMS). The proposed configuration-based model handles the various operation modes (configurations) of combined-cycle plants such as simple cycle, combined-cycle, power augmentation, additional boiler, etc. Some of the advantages of the proposed model over the standard model are discussed. Numerical examples are given to illustrate the concept and the effectiveness of the proposed configurationbased combined-cycle modeling.

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“…In particular, some of the wholesale electricity markets in North America are interested in implementing more sophisticated combined-cycle modeling [6] [7].…”

Section: Introductionmentioning

confidence: 99%

Advanced combined-cycle modeling

Ammari

Cheung

2013

2013 IEEE Grenoble Conference

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“…CM 2 to CM 7 can be formulated in a similar manner. Because v 1 , v 2 , v 3 , 1v 1 , 1v 2 , and 1v 3 are binary variables of the components' status, CM 1 to CM 7 are bounded by the linear constraints in (2). For example, CM 1 is bounded by the following constraints:…”

Section: Mapping Of Component Status To Configuration Modementioning

confidence: 99%

“…However, it is challenging to model the operational flexibility of CCGTs in the UC problem because the scheduling of CCGT units needs to decide the on/off status and power output of each CT and ST unit at every time interval. In practice, independent system operators (ISOs) use three typical methods to model CCGTs [2][3][4]: the aggregated modeling approach, in which the whole CCGT unit is modeled as a pseudo-thermal unit, ignoring all different operating configurations; the configuration-based approach, in which each commitment combination of CTs and STs is a particular configuration; and the component-based approach, in which each individual CT and ST unit is modeled separately. The dependency among CTs and STs is represented by a group of MW-steam constraints for CTs and steam-MW constraints for STs.…”

Section: Introductionmentioning

confidence: 99%

Hybrid component and configuration model for combined-cycle units in unit commitment problem

Fang

Bai²,

2018

J. Mod. Power Syst. Clean Energy

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This letter proposes a novel hybrid component and configuration model for combined-cycle gas turbines (CCGTs) participating in independent system operator (ISO) markets. The proposed model overcomes the inaccuracy issues in the current configuration-based model while retaining its simple and flexible bidding framework of configuration-based models. The physical limitationssuch as minimum online/offline time and ramping ratesare modeled for each component separately, and the cost is calculated with the bidding curves from the configuration modes. This hybrid mode can represent the current dominant bidding model in the unit commitment problem of ISOs while treating the individual components in CCGTs accurately. The commitment status of the individual components is mapped to the unique configuration mode of the CCGTs. The transitions from one configuration mode to another are also modeled. No additional binary variables are added, and numerical case studies demonstrate the effectiveness of this model for CCGT units in the unit commitment problem.

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“…In the context of multi-energy systems, there has been a lot of research interest in developing optimal scheduling models for CCPPs. Reference [8] summarizes the various modelling approaches which have been used to model CCPPs by independent system operators (ISOs) such as ERCOT, PJM, NYISO and others. Among the approaches listed in [8], the physical unit modelling (component-based modelling) approach has been used by several researchers [7], [9], [10].…”

Section: Introductionmentioning

confidence: 99%

Optimal Scheduling of Multi-Energy Systems with Flexible Electrical and Thermal Loads

Krishnan¹,

Patil²,

S.³

2018

Preprint

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This paper proposes a detailed optimal scheduling model of an exemplar multi-energy system comprising combined cycle power plants (CCPPs), battery energy storage systems, renewable energy sources, boilers, thermal energy storage systems, electric loads and thermal loads. The proposed model considers the detailed start-up and shutdown power trajectories of the gas turbines, steam turbines and boilers. Furthermore, a practical, multi-energy load management scheme is proposed within the framework of the optimal scheduling problem. The proposed load management scheme utilizes the flexibility offered by system components such as flexible electrical pump loads, electrical interruptible loads and a flexible thermal load to reduce the overall energy cost of the system. The efficacy of the proposed model in reducing the energy cost of the system is demonstrated in the context of a day-ahead scheduling problem using four illustrative scenarios.

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Combined cycle resource scheduling in ERCOT nodal market

Cited by 25 publications

References 3 publications

Advanced combined-cycle modeling

Advanced combined-cycle modeling

Hybrid component and configuration model for combined-cycle units in unit commitment problem

Optimal Scheduling of Multi-Energy Systems with Flexible Electrical and Thermal Loads

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