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Journal ArticleDOI

Stochastic Joint Optimization of Wind Generation and Pumped-Storage Units in an Electricity Market

TLDR
In this article, the authors investigated the combined optimization of a wind farm and a pumped-storage facility from the point of view of a generation company in a market environment, and formulated the optimization model as a two-stage stochastic programming problem with two random parameters: market prices and wind generation.
Abstract
One of the main characteristics of wind power is the inherent variability and unpredictability of the generation source, even in the short-term. To cope with this drawback, hydro pumped-storage units have been proposed in the literature as a good complement to wind generation due to their ability to manage positive and negative energy imbalances over time. This paper investigates the combined optimization of a wind farm and a pumped-storage facility from the point of view of a generation company in a market environment. The optimization model is formulated as a two-stage stochastic programming problem with two random parameters: market prices and wind generation. The optimal bids for the day-ahead spot market are the ldquohere and nowrdquo decisions while the optimal operation of the facilities are the recourse variables. A joint configuration is modeled and compared with an uncoordinated operation. A realistic example case is presented where the developed models are tested with satisfactory results.

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Citations
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Journal ArticleDOI

Robust Unit Commitment With Wind Power and Pumped Storage Hydro

TL;DR: In this paper, the authors proposed a robust optimization approach to accommodate wind output uncertainty, with the objective of providing a robust unit commitment schedule for the thermal generators in the day-ahead market that minimizes the total cost under the worst wind power output scenario.
Journal ArticleDOI

Short-Term Trading for a Wind Power Producer

TL;DR: A technique to derive the best offering strategy for a wind power producer in an electricity market that includes various trading floors is presented, which translates into a linear programming problem of moderate size which is readily solvable using commercially available software.
Journal ArticleDOI

Stochastic Optimization Model to Study the Operational Impacts of High Wind Penetrations in Ireland

TL;DR: In this paper, a stochastic mixed integer linear optimization scheduling model minimizing system operation costs and treating load and wind power production as stochastically inputs is presented, and the schedules are updated in a rolling manner as more up-to-date information becomes available.
Journal ArticleDOI

Optimal Bidding Strategy for Microgrids Considering Renewable Energy and Building Thermal Dynamics

TL;DR: An optimal day-ahead price-based power scheduling problem for a community-scale microgrid (MG) is studied and the great benefits in exploiting the building thermal dynamics and the flexibility of the proposed scheduling method in achieving different practical design tradeoffs are presented.
ReportDOI

Wind power forecasting : state-of-the-art 2009.

TL;DR: In this paper, the authors present a review and analysis of state-of-the-art wind power forecasting models and their application to power systems operations, with a specific focus on the unit commitment problem.
References
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BookDOI

Introduction to Stochastic Programming

TL;DR: This textbook provides a first course in stochastic programming suitable for students with a basic knowledge of linear programming, elementary analysis, and probability to help students develop an intuition on how to model uncertainty into mathematical problems.
Journal ArticleDOI

Introduction to Stochastic Programming

TL;DR: In this paper, an introduction to stochastic programming is presented, which is based on the idea of Stochastic Programming (SPP) and is used in our work.
Journal ArticleDOI

Multi-stage stochastic optimization applied to energy planning

TL;DR: This paper presents a methodology for the solution of multistage stochastic optimization problems, based on the approximation of the expected-cost-to-go functions of Stochastic dynamic programming by piecewise linear functions.
Journal ArticleDOI

On the optimization of the daily operation of a wind-hydro power plant

TL;DR: In this article, an hourly-discretized optimization algorithm is proposed to identify the optimum daily operational strategy to be followed by the wind turbines and the hydro generation pumping equipments, provided that a wind-power forecasting is available.
Journal ArticleDOI

Minimization of imbalance cost trading wind power on the short-term power market

TL;DR: In this article, a stochastic programming approach is used to generate optimal wind power production bids for a short-term power market, and the imbalance costs resulting from this strategy are then compared to the case when wind power output is based directly on a wind speed forecast.
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