Search results for: T. Raghunathan

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article

Optimal Allocation of Distributed Generation Using Hybrid Grey Wolf Optimizer

R. Sanjay, T. Jayabarathi, T. Raghunathan, V. Ramesh, more

IEEE Access > 2017 > 5 > 14807 - 14818

Optimal allocation of distributed generation units is essential to ensure power loss minimization, while meeting the real and reactive power demands in a distribution network. This paper proposes a solution to this non-convex, discrete problem by using the hybrid grey wolf optimizer, a new metaheuristic algorithm. This algorithm is applied to IEEE 33-, IEEE 69-, and Indian 85-bus radial distribution...

article

Economic dispatch using hybrid grey wolf optimizer

T. Jayabarathi, T. Raghunathan, B.R. Adarsh, Ponnuthurai Nagaratnam Suganthan

Energy > 2016 > 111 > C > 630-641

This paper presents the application of one of the latest swarm intelligence algorithms, the grey wolf optimizer, for solving economic dispatch problems that are nonlinear, non-convex and discontinuous in nature, with numerous equality and inequality constraints. Grey wolf optimizer is a new metaheuristic algorithm that is loosely based on the behavior of the grey wolves. The optimizer has been hybridized...

article

Economic dispatch using chaotic bat algorithm

B.R. Adarsh, T. Raghunathan, T. Jayabarathi, Xin-She Yang

Energy > 2016 > 96 > C > 666-675

This paper presents the application of a new metaheuristic optimization algorithm, the chaotic bat algorithm for solving the economic dispatch problem involving a number of equality and inequality constraints such as power balance, prohibited operating zones and ramp rate limits. Transmission losses and multiple fuel options are also considered for some problems. The chaotic bat algorithm, a variant...

article

Differential evolution based 3-D guidance law for a realistic interceptor model

T. Raghunathan, D. Ghose

Applied Soft Computing > 2014 > 16 > Complete > 20-33

This paper presents a novel, soft computing based solution to a complex optimal control or dynamic optimization problem that requires the solution to be available in real-time. The complexities in this problem of optimal guidance of interceptors launched with high initial heading errors include the more involved physics of a three dimensional missile–target engagement, and those posed by the assumption...

article

Combined heat and power economic dispatch problem using the invasive weed optimization algorithm

T. Jayabarathi, Afshin Yazdani, V. Ramesh, T. Raghunathan

Frontiers in Energy > 2014 > 8 > 1 > 25-30

Cogeneration units which produce both heat and electric power are found in many process industries. These industries also consume heat directly in addition to electricity. The cogeneration units operate only within a feasible zone. Each point within the feasible zone consists of a specific value of heat and electric power. These units are used along with other units which produce either heat or power...

article

Combined heat and power economic dispatch problem using firefly algorithm

Afshin Yazdani, T. Jayabarathi, V. Ramesh, T. Raghunathan

Frontiers in Energy > 2013 > 7 > 2 > 133-139

Cogeneration units, which produce both heat and electric power, are found in many process industries. These industries also consume heat directly in addition to electricity. The cogeneration units operate only within a feasible zone. Each point within the feasible zone consists of a specific value of heat and electric power. These units are used along with other units, which produce either heat or...

article

An online-implementable differential evolution tuned all-aspect guidance law

T. Raghunathan, D. Ghose

Control Engineering Practice > 2010 > 18 > 10 > 1197-1210

This paper proposes a differential evolution based method of improving the performance of conventional guidance laws at high heading errors, without resorting to techniques from optimal control theory, which are complicated and suffer from several limitations. The basic guidance law is augmented with a term that is a polynomial function of the heading error. The values of the coefficients of the polynomial...

article

Particle swarm optimization for various types of economic dispatch problems

D.N. Jeyakumar, T. Jayabarathi, T. Raghunathan

International Journal of Electrical Power and Energy Systems > 2006 > 28 > 1 > 36-42

This paper describes a successful adaptation of the particle swarm optimisation (PSO) algorithm to solve various types of economic dispatch (ED) problems in power systems such as, multi-area ED with tie line limits, ED with multiple fuel options, combined environmental economic dispatch, and the ED of generators with prohibited operating zones. Numerical examples typical to each type are solved on...

article

Evolutionary programming techniques for different kinds of economic dispatch problems

T. Jayabarathi, K. Jayaprakash, D.N. Jeyakumar, T. Raghunathan

Electric Power Systems Research > 2005 > 73 > 2 > 169-176

This paper is aimed at exploring the performance of the different evolutionary programming (EP) techniques for all kinds of economic dispatch (ED) problems. The three EP techniques considered here differ in the kind of mutation they use: Gaussian, Cauchy and combined Gaussian–Cauchy mutation. The kinds of problems tested are: ED of generators with prohibited operating zones (POZ), ED of generators...

article

On the space of entire functions over certain non-archimedean fields and its dual

T. Raghunathan

Studia Mathematica > 1969 > 33 > 3 > 251-256

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