Power-Capacity and Ramp-Capability Reserves for Wind Integration in Power-Based UC

Morales-España, Germán; Baldick, Ross; García-González, Javier; Ramos, Andrés

doi:10.1109/tste.2015.2498399

Cited by 56 publications

(39 citation statements)

References 15 publications

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“…However, some of the units, though categorized as fast-start units, cannot be completed started up or shut down within 5 min, meaning that after they are committed up or down, they might still be in their startup and shutdown processes at the subsequent RTED moment, being not controllable and can be regarded as contributing to the passive variation of load [22]. It is difficult to describe such processes precisely.…”

Section: ) Ramping Constraints Of the Unitsmentioning

confidence: 99%

Wind Power Providing Flexible Ramp Product

Chen

Wang

Botterud

et al. 2017

IEEE Trans. Power Syst.

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Abstract-The deepening penetration of renewables in power systems has contributed to the increasing needs for generation scheduling flexibility. Specifically, for short-term operations, flexibility here indicates that sufficient ramp capacities should be reserved to respond to the expected changes in the load and intermittent generation, also covering a certain amount of their uncertainty. To address the growing requirements for flexible ramp capacity, markets for ramp products have been launched in practice such as the ones in California ISO and Midcontinent ISO. Sometimes, to guarantee sufficient ramp capacity, expensive fast-start units have to be committed in real-time. Moreover, with higher penetration of renewable generation, the flexibility provided by the conventional units might not be enough. Actually, wind power producers are physically capable of offering flexibility, which is sometimes also economically efficient to the entire system. In this paper, we aim to explore the mechanism and possibility of including wind power producers as ramp providers to increase the supply of flexibility. To conduct the analyses, a two-stage stochastic real-time unit commitment model considering ramp capacity adequacy is formulated. Case studies indicate that both the system and the wind power producers can benefit if the wind power is allowed to provide flexible ramp products.Index Minimum system upward and downward regulation reserve requirements. Ramping rate limit of a unit. Ramping rate limit of a WPP. s, SIndex and set of scenarios. SDRRMaximum shutdown ramping rate of a unit. SURRMaximum startup ramping rate of a unit., T Index and set of time periods.

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Section: ) Ramping Constraints Of the Unitsmentioning

confidence: 99%

Wind Power Providing Flexible Ramp Product

Chen

Wang

Botterud

et al. 2017

IEEE Trans. Power Syst.

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“…Introducing RES uncertainty in a UC model can be made in several ways, see [6]. One is a deterministic model, which considers the expected RES production.…”

Section: Uc Modelmentioning

confidence: 99%

“…In this paper, we have chosen to present the deterministic formulation for clarity purposes given that it is the most commonly used method in practice for real systems. However, in [6] we analyzed the stochastic and robust approaches. The UC model presented in this section is generalized to allow different time periods, although we are using 1 hour as the time period.…”

Section: Uc Modelmentioning

confidence: 99%

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Assessment of operation reserves in hydrothermal electric systems with high wind generation

Ramos

Rivier

García-González

et al. 2016

2016 13th International Conference on the European Energy Market (EEM)

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Abstract-In this paper, we propose a method to analyze the amount of operation reserves procured in a system based on two stages. The first stage is a detailed hourly unit commitment and the second stage is a simulation model with a shorter time period. The method is applied to the Spanish hydrothermal system and several cases are analyzed to determine the impact of the time period in the use of the operation reserves.Index Terms-Mixed-integer programming, operating reserves, unit commitment, economic dispatch, wind power uncertainty.

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“…In the future, the UC in consideration of voltage stability and transmission network constraints will become necessary because the limitations of the power system will increase and became complicated by the introduction of power liberalization. It had been reported that single purpose including the maximization of the profit in conventional UC, but multi-objective optimization was unknown [16][17][18][19][20][21][22][23]. In this paper, we report multipurpose optimum operation method that minimizes the operational cost and transmission loss in the power system by introducing Electric Vehicle (EV), ESS, and DRP.…”

Section: Introductionmentioning

confidence: 99%

Multi-objective optimal operation with demand management and voltage stability

Furukakoi

Sediqi

Chakraborty

et al. 2017

2017 17th International Conference on Control, Automation and Systems (ICCAS)

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Due to the electric power liberalization, many power producers are entering into the deregulated power market. Most of the electrical power companies are introducing Renewable Energy Sources (RES), which will increase the power system uncertainty. Consequently, the underlyng uncertainty imposed by RES will increase the likelihood of voltage instability and voltage collapse. Also, fluctuations in supply and demand are increased by the introduction of renewable energies. On the other hand, Demand Response Program (DRP) is one of the potential solutions that reduces the power fluctuations. In this study, we proposed multi-objective optimal operation based Unit Commitment (UC) considering voltage stability and demand response. The effectiveness of the proposed method is verified by simulation results using the MATLAB.

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Power-Capacity and Ramp-Capability Reserves for Wind Integration in Power-Based UC

Cited by 56 publications

References 15 publications

Wind Power Providing Flexible Ramp Product

Wind Power Providing Flexible Ramp Product

Assessment of operation reserves in hydrothermal electric systems with high wind generation

Multi-objective optimal operation with demand management and voltage stability

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