Unit Commitment by Hybrid Ant System/Priority List Method based Probabilistic Approach

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چکیده

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Evolving ant colony optimization based unit commitment

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Unit Commitment by Evolving Ant Colony Optimization

Ant Colony Optimization is more suitable for combinatorial optimization problems. ACO is successfully applied to the traveling salesman problem, and multistage decision making of ACO has an edge over other conventional methods. In this paper, the authors propose the Evolving Ant Colony Optimization (EACO) method for solving unit commitment (UC) problem. The EACO employs Genetic Algorithm (GA) f...

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Unit Commitment With Probabilistic Reserve

This paper demonstrates how a probabilistic criterion based on the full capacity outage probability distribution (e.g., LOLP) could be integrated into the unit commitment (UC) optimization using simple statistical approximation. While this provides a direct and computationally cheaper means as compared to a recently published approach to locating the globally optimal SR allocation (and associat...

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Solving the Unit Commitment Problem by a Unit Decommitment Method

In this paper, we present a unified decommitment method to solve the unit commitment problem. This method starts with a solution having all available units online at all hours in the planning horizon and determines an optimal strategy for decommitting units one at a time. We show that the proposed method may be viewed as an approximate implementation of the Lagrangian relaxation approach and th...

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ژورنال

عنوان ژورنال: IEEJ Transactions on Power and Energy

سال: 2008

ISSN: 0385-4213,1348-8147

DOI: 10.1541/ieejpes.128.919