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Journal ArticleDOI

Fast unit commitment based on optimal linear approximation to nonlinear fuel cost: Error analysis and applications

Qiaozhu Zhai, +2 more
- 01 Nov 2009 - 
- Vol. 79, Iss: 11, pp 1604-1613
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TLDR
In this article, a detailed error analysis of mixed-integer linear programming (MILP) based methods for unit commitment (UC) problems is presented and a 2-stage procedure is established to achieve a better balance between solution quality and computation efficiency.
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This article is published in Electric Power Systems Research.The article was published on 2009-11-01. It has received 32 citations till now. The article focuses on the topics: Approximation error & Piecewise.

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Journal ArticleDOI

An MILP Based Formulation for Short-Term Hydro Generation Scheduling With Analysis of the Linearization Effects on Solution Feasibility

TL;DR: In this article, the effects of the linearization of the nonlinear functions and related constraints on solution feasibility have been discussed in detail and a method is presented to ensure that the solution obtained based on the approximated MILP formulation remains feasible for the original nonlinear formulation.
Journal ArticleDOI

Linear Current Flow Equations With Application to Distribution Systems Reconfiguration

TL;DR: In this paper, a set of linear current flow (LCF) equations are derived for distribution system (DS) analysis to find the nodal voltages, which is then used within the network reconfiguration problem for loss minimization.
Journal ArticleDOI

A deterministic annular crossover genetic algorithm optimisation for the unit commitment problem

TL;DR: In this work a genetic algorithm is applied to the unit commitment problem using a deterministic selection operator, where all the individuals of the population are selected as parents according to an established strategy, and an annular crossover operator where the chromosome is in the shape of a ring.
Journal ArticleDOI

A new memetic algorithm approach for the price based unit commitment problem

TL;DR: The results show that the proposed memetic algorithm is superior to other methods since it finds the optimal solution with a high success rate and within a reasonable execution time.
Journal ArticleDOI

An Extreme-Point Subdifferential Method for Convex Hull Pricing in Energy and Reserve Markets—Part I: Algorithm Structure

TL;DR: In this paper, an extreme-point subdifferential (EPSD) algorithm was proposed to obtain a global maximizer for the unit-commitment-based day-ahead markets.
References
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Journal ArticleDOI

A genetic algorithm solution to the unit commitment problem

TL;DR: This paper presents a genetic algorithm (GA) solution to the unit commitment problem using the varying quality function technique and adding problem specific operators, satisfactory solutions to theunit commitment problem were obtained.
Journal ArticleDOI

Short-term generation scheduling with transmission and environmental constraints using an augmented Lagrangian relaxation

TL;DR: The augmented Lagrangian relaxation method enhanced by the decomposition and coordination techniques avoids oscillations associated with piece-wise linear cost functions and is fast and efficient in dealing with numerous power system constraints.
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A hybrid EP and SQP for dynamic economic dispatch with nonsmooth fuel cost function

TL;DR: In this paper, a hybrid methodology for solving dynamic economic dispatch (DED) is proposed, in such a way that a simple evolutionary programming (EP) is applied as a based level search, which can give a good direction to the optimal global region, and a local search sequential quadratic programming (SQP) is used as a fine tuning to determine the optimal solution at the final.

A Hybrid EP and SQP for Dynamic Economic

TL;DR: In this paper, the authors proposed a new hybrid methodology for solving dynamic economic dispatch (DED) using evolutionary programming (EP) and sequential quadratic programming (SQP).
Journal ArticleDOI

Self-scheduling of a hydro producer in a pool-based electricity market

TL;DR: In this article, the authors proposed a 0/1 mixed-integer linear programming model to account for the nonlinear and nonconcave three-dimensional relationship between the power produced, the water discharged, and the head of the associated reservoir.
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