Kiran Babu Vakkapatla

ORCID: 0000-0003-4213-6785
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About
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Research Areas
  • Optimal Power Flow Distribution
  • Electric Power System Optimization
  • Numerical methods for differential equations
  • Integrated Energy Systems Optimization
  • Power Systems and Renewable Energy
  • Engineering and Technology Innovations
  • Fractional Differential Equations Solutions
  • Smart Grid Energy Management
  • Advanced Control Systems Design
  • Metaheuristic Optimization Algorithms Research
  • Differential Equations and Numerical Methods
  • Power System Reliability and Maintenance
  • Smart Grid and Power Systems

Lingaya's Vidyapeeth
2022-2023

Koneru Lakshmaiah Education Foundation
2020

This paper presents a new multiobjective optimization method that can be used for generation rescheduling in power systems. Generation restructured systems is performed by the system operator different operations like congestion management, day-ahead scheduling, and preventive maintenance. The nonlinear nature of equations involved constraints on decision variables pose challenge to find global optimum. In order optimum using genetic algorithm, bilevel proposed. proposed method, objectives...

10.3906/elk-1804-77 article EN TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES 2019-05-15

This paper presents the formulation and numerical simulation for linear quadratic optimal control problem (LQOCP) of free terminal state fixed time fractional order discrete singular system (FODSS).System dynamics is expressed in terms Riemann-Liouville derivative (RLFD), performance index (PI) costate.Because its complexity, finding analytical solutions to (SS) difficult.As a result, we use coordinate transformation convert FODSS corresponding nonsingular (FODNSS).After that, obtain...

10.24425/acs.2022.142846 article EN cc-by-nc-nd Archives of Control Sciences 2023-11-06

Algorithms used for day ahead generation scheduling are crucial a power system operator to balance conflicting objectives and the network constraints. Practically feasible algorithms using parallel computing, low-cost hardware open-source software in parlance rarely attempted literature. In this paper, multicore processing-based genetic algorithm is proposed finding optimum solution of economic emission dispatch considering reliability indices. Continuous improve speed algorithm. Cost...

10.1080/23311916.2020.1767019 article EN cc-by Cogent Engineering 2020-01-01
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