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Item Transmission line congestion management using hybrid fish-bee algorithm with unified power flow controller(World Academy of Science, Engineering and Technology International Journal of Electrical, Computer, Energetic, Electronic and Communication Engineering, 2017) Valsalal, P.; Thangalakshmi, S.There is a widespread changeover in the electrical power industry universally from old-style monopolistic outline towards a horizontally distributed competitive structure to come across the demand of rising consumption. When the ransmission lines of derestricted system are incapable to oblige the entire service needs, the lines are overloaded or congested. The governor between customer and power producer is nominated as Independent System Operator (ISO) to lessen congestion without obstructing transmission line restrictions. Among the existing approaches for congestion management, the frequently used approaches are reorganizing the generation and load curbing. There is a boundary for reorganizing the generators and further loads cannot be supplemented with the prevailing resources unless more private power producers are added in the system by considerably raising the cost. Hence, congestion is relaxed by appropriate Flexible AC Transmission Systems (FACTS) devices which boost the existing transfer capacity of transmission lines. The FACTs device, namely, Unified Power Flow Controller (UPFC) is preferred and the correct placement of UPFC is more vital and should be positioned in the highly congested line. Hence, the weak line is identified by using power flow performance index with the proposed objective function using proposed hybrid Fish – Bee algorithm. Further, the location of UPFC at appropriate line reduces the branch loading and minimizes the voltage deviation. The power transfer capacity of lines is determined with and without UPFC in the identified congested line of IEEE 30 bus structure and the simulated results are compared with prevailing algorithms. It is observed that the transfer capacity of existing line is increased with the presented algorithm and thus alleviating congestion.Item Congestion management using hybrid fish bee optimization(Journal of Theoretical and Applied Information Technology, 2013-12) Thangalakshmi, S.; Valsalal, P.Congestion management is a task performed by Independent System Operator (ISO) to ensure the operation of transmission system within limits. In an emerging electric power market, congestion management is highly important and inefficient management can be a barrier to electricity trading. To minimize congestion, it is required to maximize transmission line generation and decrease its cost. A Hybrid Fish Bee Swarm Optimization based algorithm to manage congestion is proposed to achieve this objective. The Fish Bee Swarm Optimization is based on two algorithms namely Artificial Bee Colony (ABC) and Fish School Search (FSS) methods. The proposed algorithm is validated on an IEEE 30 bus system. Results show the performance of the proposed optimization technique decreases congestion.Item Congestion management in restructured power systems with economic and technical considerations(Asian Journal of Information Technology, 2016) Thangalakshmi, S.; Valsalal, P.Restructuring of monopolistic power systems is inevitable in this day and age to cope up with the radical growth of power demand. In developed countries restructuring is already in place while developing countries are getting accustomed to it. Above and beyond the benefits to consumers in terms of economy and quality, there are several challenges prevailing particularly in transmission while exercising deregulation. The foremost challenging task of Independent System Operator (ISO) is managing the transmission line congestion in a deregulated power system. In most of the congestion management techniques, only the economic aspects are considered. This study proposes a technique to manage ongestion considering both the economical and voltage deviation aspects wherein Artificial Bee Colony (ABC) and Fish School Optimization (FSO) algorithms are used for managing congestion. These techniques are implemented in 62 bus Indian utility system and the results are compared with Particle Swarm Optimization (PSO) technique. The minimum voltage deviation for electronic industries and acceptable voltage deviation for high power applications are considered with suitable weighting factors in the objective function.Item Congestion management in deregulated power systems using generator rescheduling with particle swarm optimization(Journal of Computational and Theoretical Nanoscience, 2017) Thangalakshmi, S.; Valsalal, P.The sizable progress of power demand has directed to viable electricity arcade in which the vertically integrated utilities are unbundled as Genco, Transco, and Disco. The structure of deregulated market is not same in all countries. But in most of the countries, the power production and retail sales are competitive, while transmission is still regulated. The most responsible entity in an exposed access power market is Self-governing System Operator (SO) whose liabilities include structure security, control delivery, transaction pricing, service quality and elevation of financial proficiency and equity. One of the most important disputes associated with modernized power market is congestion of Power ransmission lines. The usage of these lines through the power producers and the consumers closer or outside the assigned limits makes the line congested. Usually higher load demands lead to congestion of transmission network. To alleviate congestion an Ideal Power Flow method with generator rescheduling is embraced in this paper. Also, Particle Swarm Optimization (PSO) algorithm is adopted to resolve the ideal power flow and the outcomes are compared with Linear Programming Optimal Power Flow (LPOPF). Congestion is replicated using Power World Simulator and the suggested method is tried on IEEE 30 bus system.