Load Frequency Management for a two-area system (Thermal-PV & Hydel-PV) by Swarm Optimization based Intelligent Algorithms

Author(s):  
Ubaid ur Rehman ◽  
Ahlam Jameel ◽  
Akrama Khan ◽  
Muhammad Majid Gulzar ◽  
Sadia Murawwat
2011 ◽  
Vol 101-102 ◽  
pp. 414-417
Author(s):  
Yi Qiang Wang ◽  
Chao Fu ◽  
Ming Yang Ma ◽  
Lin Bin Wang

In order to improve the operation efficiency of order picking trucks in the warehouse, the mathematical model of the routing optimization problem is established. Then PSO (Particle Swarm Optimization) and ACO (Ant Colony Optimization) are used to solve the model. Experimental results show that both of them have good overall search ability and astringency. The operation efficiency is improved to a great extent by using swarm intelligent algorithms.


Author(s):  
Velpula Lakshmi Prasanna

Abstract: Load Frequency Control is one of the most essential frequency management technologies in modern power systems (LFC). When employing LFC over a vast region, communication latency is unavoidable. A delay might not only affect system performance but also cause system instability. An alternate design strategy for constructing delay compensators for LFC in one or more control areas utilising an AFPI controller and ANFIS is proposed in this paper. For one-area LFC, a sufficient and required condition for designing a delay compensator is described. It is demonstrated that for multi-area LFC with Area Control Errors (ACEs), each control area can have its own delay controller designed as if it were a one-area system if the index of coupling among the areas is less than the small gain theorem's threshold value. The effectiveness of the proposed technique is validated by simulation experiments on LFCs with communication delays in one and multiple interconnected areas with and without time variable delays.


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