Analysis of the impact of sub-hourly unit commitment on power system dynamics

Kërçi, Taulant; Giraldo, Juan S.; Milano, Federico

doi:10.1016/j.ijepes.2020.105819

Cited by 20 publications

(15 citation statements)

References 21 publications

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“…In this work, we use as starting point [12,13]. Reference [12] discusses the impact of a subhourly deterministic UC problem power system dynamics.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Reference [12] discusses the impact of a subhourly deterministic UC problem power system dynamics. Whereas the focus of [13] is on the effect of different SUC strategies and different wind power uncertainty and volatility within SUC on power system dynamics. Based on these works, we present here a thorough sensitivity analysis related to different control parameters as well as a comparison on the effect of different SUC models on the long-term dynamic behaviour of power systems.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The focus of this work is on the first 4 h of the planning horizon. Furthermore, the wind profile is modeled as in [13].…”

Section: Case Studymentioning

confidence: 99%

“…Wind power uncertainty, volatility and rolling planning horizon within the SUC are modeled as in [13]. In particular, three wind power scenarios are considered, namely, low, medium, and high.…”

Section: Case Studymentioning

confidence: 99%

“…Moreover, three wind power plants are considered and connected at bus 20, 21 and 23, respectively, with a nominal capacity of 300 MW each. It should be noted that this number of scenarios is considered sufficient as it was shown in [13] that increasing the number of scenarios leads to similar effect on the dynamic performance of the system.…”

Section: Case Studymentioning

confidence: 99%

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Sensitivity Analysis of the Impact of the Sub- Hourly Stochastic Unit Commitment on Power System Dynamics

2020

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Subhourly modeling of power systems and the use of the stochastic optimization are two relevant solutions proposed in the literature to address the integration of stochastic renewable energy sources. With this aim, this paper deals with the effect of different formulations of the subhourly stochastic unit commitment (SUC) problem on power system dynamics. Different SUC models are presented and embedded into time domain simulations (TDS) through a cosimulation platform. The objective of the paper is to study the combined impact of different frequency control/machine parameters and different SUC formulations on the long-term dynamic behaviour of power systems. The analysis is based on extensive Monte Carlo TDS (MC-TDS) and a variety of scenarios based on the New England 39-bus system.

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“…In this work, we use as starting point [12,13]. Reference [12] discusses the impact of a subhourly deterministic UC problem power system dynamics.…”

Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

“…The focus of this work is on the first 4 h of the planning horizon. Furthermore, the wind profile is modeled as in [13].…”

Section: Case Studymentioning

confidence: 99%

Section: Case Studymentioning

confidence: 99%

Section: Case Studymentioning

confidence: 99%

See 3 more Smart Citations

Sensitivity Analysis of the Impact of the Sub- Hourly Stochastic Unit Commitment on Power System Dynamics

2020

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Investigation of power‐based day‐ahead electricity market in terms of inducing fake ramp demand, assuring real‐time compatibility, support for flexibility, and providing some solutions

Rahmati

Foroud

2021

Int Trans Electr Energ Syst

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The conventional design of electricity markets is based on energy (energy‐based model or EbM). EbM includes some formerly assumed minor flaws that lead to a mismatch between the day‐ahead schedules and real‐time operation. Since these flaws are within the EbM's nature, even without any kind of forecast error, the EbM generation schedule may be unrealizable in real‐time operation. An alternative design based on power (power‐based model or PbM) has been introduced in the previous studies for better real‐time compatibility. Some uninvestigated aspects of this new model are addressed in this paper to shed more light on its pros and cons: (a) Formation of fake demand for extra ramp is likely in PbM. This phenomenon, which is overlooked in previous studies, can endanger system integrity and market performance. This weakness is explained here, and a solution is proposed. (b) Increasing time granularity is known effective for reflecting real‐time condition in the day‐ahead market. We doubled the time resolution of EbM and compared its schedules with PbM's schedules from the viewpoint of real‐time compatibility. (c) Flexibility is a serious issue in the power system. As a new design for market, knowing PbM's impact on this matter is crucial, which is missing in the literature. To fill the gap, PbM's impact on the economic position of flexible units is analyzed here. This paper has a practical perspective, and the input data of the test system are based on the Iranian power grid. The input parameters are scaled down to fit the IEEE 24‐Bus test system.

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Fractional‐order dynamical model for electricity markets

Dassios

Kërçi

Băleanu

et al. 2021

Math Methods in App Sciences

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In this article, we use a generalized system of differential equations of fractional-order to incorporate memory into an electricity market model. By using this idea, essential information from the past, such as the behavior of market participants, namely, suppliers and consumers, can be used and have impact on future decisions. We construct the fractional-order dynamical model, study its solutions, and provide closed formulas of solutions. Finally, we provide an application by using the proposed formula of solutions as well as a numerical example which also compares the proposed model with a conventional, integer-order electricity market model. Results indicate that the inclusion of memory leads market participants to adopt a conservative behavior.

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Analysis of the impact of sub-hourly unit commitment on power system dynamics

Cited by 20 publications

References 21 publications

Sensitivity Analysis of the Impact of the Sub- Hourly Stochastic Unit Commitment on Power System Dynamics

Sensitivity Analysis of the Impact of the Sub- Hourly Stochastic Unit Commitment on Power System Dynamics

Investigation of power‐based day‐ahead electricity market in terms of inducing fake ramp demand, assuring real‐time compatibility, support for flexibility, and providing some solutions

Fractional‐order dynamical model for electricity markets

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