Arul Jeyaraj K.,PSNA College of Engineering and Technology |
Rajasekaran V.,PSNA College of Engineering and Technology |
Nandha kumar S.K.,PSNA College of Engineering and Technology |
Chandrasekaran K.,NIT Puducherry
Journal of Electrical Engineering and Technology | Year: 2015
This paper proposes a multi-objective optimal placement method of Phasor Measurement Units (PMUs) in large electric transmission systems. It is proposed for minimizing the number of PMUs for complete system observability and maximizing measurement redundancy of the buses, simultaneously. The measurement redundancy of the bus indicates that number of times a bus is able to monitor more than once by PMUs set. A high level of measurement redundancy can maximize the system observability and it is required for a reliable power system state estimation. Therefore, simultaneous optimizations of the two conflicting objectives are performed using a binary coded firefly algorithm. The complete observability of the power system is first prepared and then, single line loss contingency condition is added to the main model. The practical measurement limitation of PMUs is also considered. The efficiency of the proposed method is validated on IEEE 14, 30, 57 and 118 bus test systems and a real and large- scale Polish 2383 bus system. The valuable approach of firefly algorithm is demonstrated in finding the optimal number of PMUs and their locations by comparing its performance with earlier works. © The Korean Institute of Electrical Engineers.
Acharya O.P.,NIT Puducherry |
Patnaik A.,Indian Institute of Technology Roorkee |
Sinha S.N.,Indian Institute of Technology Roorkee
2015 IEEE Applied Electromagnetics Conference, AEMC 2015 | Year: 2015
The Direction of Arrival (DoA) estimation of signals impinging on a failed antenna array is approached as an optimization problem and solved by using particle swarm optimization (PSO) technique with single snapshot. The performance and usefulness of this algorithm is analyzed under different failure scenarios and also in different noisy environment. In this paper we have made a study on the tolerance level of this element failure, for which the estimated value of DoA remain in acceptable limit. Results show that a PSO algorithm is capable of solving the problem of DoA estimation under element failure scenario. © 2015 IEEE.
Uma V.,Pondicherry University |
Aghila G.,NIT Puducherry
International Journal of Information and Communication Technology | Year: 2016
Mining temporal patterns has been an active research area in AI. Mining patterns of temporally correlated events called arrangements is required in many scientific domains, especially in the medical domain. Key events of the domain defined as reference events are used in describing the arrangements. In this work, mining events in arrangements (MENSA) algorithm is proposed to mine frequent arrangements and to generate sequential rules that can be used in early forecasting of probable diseases and symptoms and hence facilitate decision support related tasks. The MENSA algorithm has excellent scale-up property with respect to the size of the sequences. Temporal relations between events are defined using the contextual reference event-based temporal (REseT) relations. These relations can provide more useful knowledge about the order of events within an arrangement in comparison with Allen's relations and the effectiveness, applicability of these relations in prognosis is demonstrated using PREDICT algorithm with Percent-Similarity as the performance measure. The performance of the proposed algorithms is evaluated and they outperform other existing approaches when experimented on real finance dataset and synthetic medical dataset. © 2016 Inderscience Enterprises Ltd.