Merin Lizbeth George ¹, C. N. Ravi ¹, R. Harikrishnan ¹, G. R. P. Lakshmi ¹

Affiliations
1 Sathyabama University, Chennai

Abstract

This paper presents electro-thermal modeling using Resistance-Capacitance (RC) for transient heat conduction to inspect temperature variation over the surface of a material (AISI 316 steel) with defective and non-defective zones. An electrical based analytic approach for stepped infrared thermography is presented based on the correspondence between the fundamental laws of heat transfer and electricity. The construction of approximate analogous electrical models of thermal problem has been used in the mathematical analysis of heat transfer. A rigorous discussion of the heat dissipation mechanism over the material is performed, to show that the temperature over the defect region is always greater than the reference area and to prove the analogy of thermal to electrical parameter from the surface temperature evolution.

Keywords

Electro-thermal Modeling, Stepped Infrared Thermography, AISI 316 Steel, Analytic Approach, Analogy

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R. Harikrishnan ¹, V. Jawahar Senthil Kumar ²

Affiliations
1 Electrical and Electronics Engineering, Sathyabama University, Chennai - 600119, Tamil Nadu, IN
2 Department of Electronics and Communication, College of Engineering Guindy, Anna University, Chennai - 600025, Tamil Nadu, IN

Abstract

Most of the real life problems are non linear, non differentiable and multi objective with more constraints. Traditional optimization algorithms cannot find solution or is more complex to find an optimal solution and its complexity increases with the scalability problem. This is the motivation of nature and bio-inspired heuristic algorithms which provide better optimal solution for real life problems. This paper gives an approach of one such bio-inspired algorithm called as group search optimizer localization algorithm integrated with Xbee arduino sensor network, which is used to minimize the localization error of wireless sensor networks. The algorithm is developed from the inspiration of animal food and basic need foraging behavior and is a group based localization optimization algorithm. This employs a resource finding producer and scrounger follower model. Real time data collected by Xbee arduino sensor network is used by group search optimizer localization algorithm to self determine the location information of sensor nodes. Localization in wireless sensor networks is needed to improve the performance, reliability and life time of the network.

Keywords

Anchor Nodes, Group Search Optimizer, Localization, Producer, RSSI, Scrounger, Sensor Nodes, Xbee Arduino

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P. Ponnin Thilagar ¹, R. Harikrishnan ¹

Affiliations
1 Faculty of Electrical and Electronics Engineering, Sathyabama University, Chennai, Tamil Nadu - 600119, IN

Abstract

Voltage profile has been a major concern for power system utilities. Lack of voltage profile control may cause voltage collapse and lead to complete power cut in the system. Several events of voltage collapse in the recent past in the country are some example. Flexible AC Transmission Systems (FACTS) devices are increasingly used to improve voltage profile and power flow control in many utilities. However, owing to the considerable cost of FACTS devices involved, it is important to find the optimal location and sizing of these devices in a power system to obtain maximum benefits of these devices. In the recent works, to find optimal location and sizing of STATCOM, PSO (Particle Swarm Optimization), Genetic Algorithm (GA) and many other intelligent algorithms was used. In this research work new intelligent algorithm known as firefly OPF algorithm is used to find best location and size of STATCOM. The algorithm is implemented for finding optimal location and sizing of STATCOM for voltage profile improvement in a benchmark IEEE 30-bus system.

Keywords

FACTS, Firefly OPF Algorithm, Newton Raphson Method, Optimal Power Flow, STATCOM

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