Proceedings ArticleDOI
Voltage Stability Improvement by Optimal Location of Wind Sources
TLDR
The genetic algorithm method is applied to obtain optimal locations of these wind turbines in the grid to maximize the load margin while taking into account all constraints.Abstract:
In this article, we have proposed to maximize the voltage stability of an electrical grid by integrating several wind turbines. For this purpose, we have applied the genetic algorithm method to obtain optimal locations of these wind turbines in the grid. This optimization aims to maximize the load margin while taking into account all constraints. The proposed optimization method was applied on the modified IEEE 30 bus network.read more
Citations
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Book ChapterDOI
Optimal Placement of Distributed Generation Based PV Source in Electrical Power System for LVSI Improvement Using GA Algorithm
TL;DR: In this article, the optimal placement of distributed generation-based PV sources (DG-PV) into the electrical power system was investigated, and the results were combined and proved the effectiveness of the GA method.
Proceedings ArticleDOI
Improvement of the Voltage Profile of the Distribution Network by Optimal Integration of PVbased Decentralised Source
TL;DR: The study yielded that voltage profiles of different test networks are significantly improved after optimal PVDG installation using the proposed algorithm.
Proceedings ArticleDOI
Genetic Algorithm for Improving Voltage Stability by Optimal Integration of Wind Source
TL;DR: This work is focused on the study of the optimal integration of Wind Turbines (WT-DG) which takes into account the system constraints and searches for the optimal sites and sizes of WT-DGs for maximize voltage stability using a Genetic Algorithm.
Book ChapterDOI
Distributed Sources Optimal Sites and Sizes Search in Large Power Systems
TL;DR: A study is given for the integration of the Distributed Source in an optimal way and this by looking for the best location and the best power to be injected (size) by using genetic algorithms under technical and safety constraints.
References
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Book
Adaptation in natural and artificial systems
TL;DR: Names of founding work in the area of Adaptation and modiication, which aims to mimic biological optimization, and some (Non-GA) branches of AI.
Journal ArticleDOI
Optimal Distributed Generation Allocation and Sizing in Distribution Systems via Artificial Bee Colony Algorithm
TL;DR: A new optimization approach that employs an artificial bee colony (ABC) algorithm to determine the optimal DG-unit's size, power factor, and location in order to minimize the total system real power loss.
Proceedings ArticleDOI
Analytical approaches for optimal placement of distributed generation sources in power systems
Caisheng Wang,M.H. Nehrir +1 more
TL;DR: In this paper, the optimal location to place a DG in radial as well as networked systems to minimize the power loss of the system is investigated. But, the proposed analytical methods are not suitable for the optimal placement of DGs in power systems.
Journal ArticleDOI
Stochastic economic emission load dispatch
TL;DR: In this article, a stochastic economic emission load dispatch (EELD) problem is formulated with consideration of the uncertainties in the system production cost and the nature of the load demand, which is random.
Journal ArticleDOI
Optimal placement and sizing of a DG based on a new power stability index and line losses
TL;DR: In this article, a new algorithm for distributed generator placement and sizing for distribution systems based on a novel index is proposed, which is developed considering stable node voltages referred as power stability index (PSI), a new analytical approach is adopted to visualize the impact of DG on system losses, voltage profile and voltage stability.