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Unit commitment for systems with significant wind penetration

TLDR
In this article, the effects of stochastic wind and load on the unit commitment and dispatch of power systems with high levels of wind power are examined, by comparing the costs, planned operation and performance of the schedules produced.
Abstract
The stochastic nature of wind alters the unit commitment and dispatch problem. By accounting for this uncertainty when scheduling the system, more robust schedules are produced, which should, on average, reduce expected costs. In this paper, the effects of stochastic wind and load on the unit commitment and dispatch of power systems with high levels of wind power are examined. By comparing the costs, planned operation and performance of the schedules produced, it is shown that stochastic optimization results in less costly, of the order of 0.25%, and better performing schedules than deterministic optimization. The impact of planning the system more frequently to account for updated wind and load forecasts is then examined. More frequent planning means more up to date forecasts are used, which reduces the need for reserve and increases performance of the schedules. It is shown that mid merit and peaking units and the interconnection are the most affected parts of the system where uncertainty of wind is concerned

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Citations
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A review of computer tools for analysing the integration of renewable energy into various energy systems

TL;DR: In this paper, a review of the different computer tools that can be used to analyse the integration of renewable energy is presented, and the results in this paper provide the information necessary to identify a suitable energy tool for analysing the integration into various energy-systems under different objectives.
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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.
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Appliance Commitment for Household Load Scheduling

TL;DR: A novel appliance commitment algorithm that schedules thermostatically controlled household loads based on price and consumption forecasts considering users' comfort settings to meet an optimization objective such as minimum payment or maximum comfort is presented.
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A Chance-Constrained Two-Stage Stochastic Program for Unit Commitment With Uncertain Wind Power Output

TL;DR: In this article, a combined sample average approximation (SAA) algorithm is developed to solve the unit commitment problem with uncertain wind power output, and the convergence property and the solution validation process of the proposed combined SAA algorithm is discussed and presented in the paper.
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Stochastic Optimization for Unit Commitment—A Review

TL;DR: The works that have contributed to the modeling and computational aspects of stochastic optimization (SO) based UC are reviewed to help transform research advances into real-world applications.
References
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Journal ArticleDOI

A computationally efficient mixed-integer linear formulation for the thermal unit commitment problem

TL;DR: In this paper, a new mixed-integer linear formulation for the unit commitment problem of thermal units is presented, which requires fewer binary variables and constraints than previously reported models, yielding a significant computational saving.
Journal Article

Stochastic programming

R. J. B. Wets
- 01 Oct 1989 - 
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Scenario Reduction in Stochastic Programming

TL;DR: Arguments from stability analysis indicate that Fortet-Mourier type probability metrics may serve as such canonical metrics in a convex stochastic programming problem with a discrete initial probability distribution.
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Stochastic Security-Constrained Unit Commitment

TL;DR: Numerical simulations indicate the effectiveness of the proposed approach for solving the stochastic security-constrained unit commitment and introduce the scenario reduction method for enhancing a tradeoff between calculation speed and accuracy of long-term SCUC solution.
Journal ArticleDOI

A new approach to quantify reserve demand in systems with significant installed wind capacity

TL;DR: In this article, a new methodology is presented which quantifies the reserve needed on a system taking into account the uncertain nature of the wind power, and the reliability of the system is used as an objective measure to determine the effect of increasing wind power penetration.
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