Research Publications
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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.