Methodologies to Determine Operating Reserves Due to Increased Wind Power

Holttinen, Hannele; Milligan, Michael; Ela, Erik; Menemenlis, Nickie; Dobschinski, Jan; Rawn, Barry; Bessa, Ricardo J.; Flynn, Damian; Gómez‐Lázaro, Emilio; Detlefsen, Nina

doi:10.1109/tste.2012.2208207

Cited by 257 publications

(99 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Thus, this work contributes to: (i) a better understanding of the main meteorological features behind the wind power ramp events, and (ii) assessing the capabilities of windstorm/cyclone detection algorithms [10,11] to identify wind power ramps as well as their main impacts on the wind power production. Understanding the role of such phenomena will allow to: (i) minimize the impact of large-scale wind power integration within a power system; and (ii) develop reliable operational diagnostic tools for wind power ramps [5,12,13] that can be easily integrated into the decision making process by a TSO [5].…”

Section: Introductionmentioning

confidence: 99%

Wind Power Ramps Driven by Windstorms and Cyclones

2017

View full text Add to dashboard Cite

Abstract:The increase in the wind power predictability assumes a very important role for secure power system operation at minimum costs, especially in situations with severe changes in wind power production. In order to improve the forecast of such events, also known as "wind power ramp events", the underlying role of some severe meteorological phenomena in triggering wind power ramps must be clearly understood. In this paper, windstorm and cyclone detection algorithms are implemented using historical reanalysis data allowing the identification of key characteristics (e.g., location, intensity and trajectories) of the events with the highest impact on the wind power ramp events in Portugal. The results show a strong association between cyclones/windstorms and wind power ramp events. Moreover, the results highlight that it is possible to use some features of these meteorological phenomena to detect, in an early stage, severe wind power ramps thus creating the possibility to develop operational decision tools in order to support the security of power systems with high amounts of wind power generation.

show abstract

Section: Introductionmentioning

confidence: 99%

Wind Power Ramps Driven by Windstorms and Cyclones

2017

View full text Add to dashboard Cite

show abstract

“…In this light, the following dual-stage optimisation formulation is proposed for utilisation of solar PV to contribute to the system demand at peak times, which is developed based on the relevant optimisation in [39,40]. The first stage in Equations (19) and (20) determines the minimum daily peak demand that can be achieved, while the second stage minimises the energy charged to achieve the minimum daily peak demand.…”

Section: Peak Clipping Operationmentioning

confidence: 99%

System-Level Operational and Adequacy Impact Assessment of Photovoltaic and Distributed Energy Storage, with Consideration of Inertial Constraints, Dynamic Reserve and Interconnection Flexibility

et al. 2017

Self Cite

View full text Add to dashboard Cite

Abstract:The growing penetration of solar photovoltaic (PV) systems requires a fundamental understanding of its impact at a system-level. Furthermore, distributed energy storage (DES) technologies, such as batteries, are attracting great interest owing to their ability to provide support to systems with large-scale renewable generation, such as PV. In this light, the system-level impacts of PV and DES are assessed from both operational and adequacy perspectives. Different control strategies for DES are proposed, namely: (1) centralised, to support system operation in the presence of increasing requirements on system ramping and frequency control; and (2) decentralised, to maximise the harnessing of solar energy from individual households while storing electricity generated by PV panels to provide system capacity on request. The operational impacts are assessed by deploying a multi-service unit commitment model with consideration of inertial constraints, dynamic reserve allocation, and interconnection flexibility, while the impacts on adequacy of supply are analysed by assessing the capacity credit of PV and DES through different metrics. The models developed are then applied to different future scenarios for the Great Britain power system, whereby an electricity demand increase due to electrification is also considered. The numerical results highlight the importance of interconnectors to provide flexibility. On the other hand, provision of reserves, as opposed to energy arbitrage, from DES that are integrated into system operation is seen as the most effective contribution to improve system performance, which in turn also decreases the role of interconnectors. DES can also contribute to providing system capacity, but to an extent that is limited by their individual and aggregated energy availability under different control strategies.

show abstract

“…This increased uncertainty burdens an ISO with reserve operations more so than in the past [15][16][17]. Several electricity markets have attempted to impose penalty costs on participants when their actual consumption/generation was outside a specified range around the energy bid [18][19][20][21].…”

Section: Microgrid Islanding Limited To Market Operationmentioning

confidence: 99%

Optimal Bidding of a Microgrid Based on Probabilistic Analysis of Island Operation

et al. 2016

View full text Add to dashboard Cite

Island operation of a microgrid increases operation survivability and reliability when there is a large accident in a main grid. However, because a microgrid typically has limited generation capability, a microgrid operator (MGO) has to take the risk of island operation into account in its market participation and generation scheduling to ensure efficient operation. In this paper, a microgrid islanding event is interpreted as a trade suspension of a contract, and a set of islanding rules is presented in the form of a market rule. The risk of island operation is evaluated by modeling the microgrid islanding stochastically using an islanding probability function, which is defined in the form of a conditional probability to reflect the influence of outside conditions. An optimal bidding strategy is obtained for the MGO by formulating and solving an optimization problem to minimize the expected operating cost. The effectiveness of the proposed method was investigated by numerical simulations in which the proposed method and two other methods were applied to the same microgrid. Numerical sensitivity analyses of the coefficients of the islanding probability function were conducted to determine how an MGO copes with changes in outside conditions.

show abstract

Methodologies to Determine Operating Reserves Due to Increased Wind Power

Cited by 257 publications

References 21 publications

Wind Power Ramps Driven by Windstorms and Cyclones

Wind Power Ramps Driven by Windstorms and Cyclones

System-Level Operational and Adequacy Impact Assessment of Photovoltaic and Distributed Energy Storage, with Consideration of Inertial Constraints, Dynamic Reserve and Interconnection Flexibility

Optimal Bidding of a Microgrid Based on Probabilistic Analysis of Island Operation

Contact Info

Product

Resources

About