Proceedings ArticleDOI
Emission constrained unit commitment problem solution using invasive weed optimization Algorithm
B. Saravanan,E.R. Vasudevan +1 more
- pp 1-6
TLDR
The problem of unit commitment keeping in mind the emission levels has been solved using the evolutionary algorithm of Invasive Weed Optimization (IWO), and the best solution has been achieved by compromising between emission levels and generation cost.Abstract:
With an increase in environmental considerations over the years, it has become extremely significant to reduce the emission levels in all areas of technology. Likewise, the problem of Unit Commitment (UC), which has always been thought of as a problem to reduce generation cost also involves an added objective of reducing emission levels. This paper presents a new methodology to solve this multi-objective problem. The problem of unit commitment keeping in mind the emission levels has been solved using the evolutionary algorithm of Invasive Weed Optimization (IWO). This proposed algorithm has been tested for two cases, eleven unit twenty four hour systems and eleven unit one sixty eight hour system. Both the results of unit commitment and emission levels have been obtained individually using IWO and the best solution has been achieved by compromising between emission levels and generation cost. This balance has been achieved using trade-off between the two separate solutions. The advantage of this new method gives much more accurate results for both emission and fuel cost which helps in achieving a better optimal solution using trade-offs.read more
Citations
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Journal ArticleDOI
An ICA based approach for solving profit based unit commitment problem market
TL;DR: A novel optimization technique called imperialist competitive algorithm (ICA) as well as an improved version of this evolutionary algorithm are employed for solving the PBUC problem in order to reduce computational complexity and subsequently ameliorate convergence procedure of the proposed method.
Journal ArticleDOI
A long-term unit commitment problem with hydrothermal coordination for economic and emission control in large-scale electricity systems
TL;DR: A new heuristic approach is developed, which consists of two solution stages and is able to find outstanding schedules for benchmark instances with a planning horizon of up to one year, and promising results are obtained for large-scale real-world electricity systems.
Book ChapterDOI
Application of Natured-Inspired Algorithms for the Solution of Complex Electromagnetic Problems
TL;DR: This chapter is aimed at presenting an overview of nature inspired optimization algorithms (NIOs) as applied to the solution of complex electromagnetic problems starting from the well-known genetic algorithms up to recent collaborative algorithms based on smart swarms and inspired by swarm of insects, birds or flock of fishes.
Journal Article
A Review On Modeling Approaches For Stochastic Unit Commitment
Saranya S,Saravanan B +1 more
TL;DR: This paper gives about the survey of various methodologies to model the stochastic nature of unit commitment and various solution methodologies that may pave a new way for both regulated and deregulated market and also provide a good pathway to develop the effective smart grid technology with greater reliability.
References
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Book
Power Generation, Operation, and Control
Allen J. Wood,Bruce Wollenberg +1 more
TL;DR: In this paper, the authors present a graduate-level text in electric power engineering as regards to planning, operating, and controlling large scale power generation and transmission systems, including characteristics of power generation units, transmission losses, generation with limited energy supply, control of generation, and power system security.
Journal ArticleDOI
A novel numerical optimization algorithm inspired from weed colonization
Ali Reza Mehrabian,Caro Lucas +1 more
TL;DR: A novel numerical stochastic optimization algorithm inspired from colonizing weeds to mimic robustness, adaptation and randomness of Colonizing weeds in a simple but effective optimizing algorithm designated as Invasive Weed Optimization (IWO).
Journal ArticleDOI
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
Invasive Weed Optimization and its Features in Electromagnetics
Shaya Karimkashi,Ahmed A. Kishk +1 more
TL;DR: A new numerical stochastic optimization algorithm, inspired from colonizing weeds, is proposed for Electromagnetic applications, and invasive weed optimization (IWO) is described and applied to different electromagnetic problems.
Journal ArticleDOI
Economic emission load dispatch through fuzzy based bacterial foraging algorithm
TL;DR: The proposed bacterial foraging algorithm appears to be a robust and reliable optimization algorithm for the solution of the EELD problems and is found to be better than, or at least comparable to, the other existing techniques considering the quality of the solutions obtained.
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