Prakasam Engineering College
Prakasam Engineering College
Balasubbareddy M.,Prakasam Engineering College |
Sivanagaraju S.,Andhra University |
Suresh C.V.,Andhra University
Engineering Science and Technology, an International Journal | Year: 2015
A novel optimization algorithm is proposed to solve single and multi-objective optimization problems with generation fuel cost, emission, and total power losses as objectives. The proposed method is a hybridization of the conventional cuckoo search algorithm and arithmetic crossover operations. Thus, the non-linear, non-convex objective function can be solved under practical constraints. The effectiveness of the proposed algorithm is analyzed for various cases to illustrate the effect of practical constraints on the objectives’ optimization. Two and three objective multi-objective optimization problems are formulated and solved using the proposed non-dominated sorting-based hybrid cuckoo search algorithm. The effectiveness of the proposed method in confining the Pareto front solutions in the solution region is analyzed. The results for single and multi-objective optimization problems are physically interpreted on standard test functions as well as the IEEE-30 bus test system with supporting numerical and graphical results and also validated against existing methods. © 2015 Karabuk University
Balasubbareddya M.,Prakasam Engineering College |
Sivanagarajub S.,JNTUH College of Engineering |
Venkata Sureshc C.,Andhra University |
Srilathaa D.,Prakasam Engineering College
Russian Electrical Engineering | Year: 2017
In this paper, a proposed Non-dominated Sorting Hybrid Cuckoo Search Algorithm (NSHCSA) for multi objective optimal power flow problem with FACTS devices namely Thyristor Controlled Series Compensator (TCSC) and Static Synchronous Series Compensator (SSSC) with different objective functions including the installation cost of FACTS devices are presented. The practical and operating constraints are considered for this analysis. The location of the FACTS device is selected to enhance the system security with respect to minimizing line overloads and bus voltage violations. The proposed Hybrid Cuckoo Search Algorithm (HCSA) is the combination of Cuckoo Search Algorithm (CSA) and Genetic Algorithm (GA). For multi objectives selected Pareto front is obtained by using the fuzzy decision making tool. The effectiveness of the proposed method is tested on standard IEEE-30 bus test system in the presence of the TCSC and SSSC. The results are analyzed and compared with existing methods. © 2017, Allerton Press, Inc.
Reddy M.B.,Prakasam Engineering College |
Obulesh Y.P.,Koneru Lakshmaiah College of Engineering |
Sivanagaraju S.,Jawaharlal Nehru Technological University Kakinada |
Suresh C.V.,Jawaharlal Nehru Technological University Kakinada
Journal of Experimental and Theoretical Artificial Intelligence | Year: 2015
In this paper, a detailed power injection modelling and analysis of one of the latest Convertible Static Controllers namely, Generalised Interline Power Flow Controller is presented. This model is incorporated in the conventional Newton-Raphson load flow to analyze the effect of the device on system parameters. The effect of series and shunt converters' location is identified by placing the device either at respective sending ends or receiving ends of the transmission lines. The effect of device and its location is analysed on standard IEEE-30 bus test system. © 2015 Taylor & Francis
Balasubba Reddy M.,Prakasam Engineering College |
Sivanaga Raju S.,JNTUH College of Engineering
ARPN Journal of Engineering and Applied Sciences | Year: 2012
Evolutionary computation (EC) techniques such as genetic algorithms (GAs), utilize multiple searching points in the solution space like PSO. Whereas GAs can treat combinatorial optimization problems, PSO was aimed to treat nonlinear optimization problems with continuous variables originally. Moreover, PSO has been expanded to handle combinatorial optimization problems and both discrete and continuous variables as well. Efficient treatment of mixedinteger nonlinear optimization problems (MINLPs) is one of the most difficult problems in practical optimization. Moreover, unlike other EC techniques, PSO can be realized with only a small program; namely, PSO can handle MINLPs with only a small program. This feature of PSO is one of its advantages compared with other optimization techniques. In this paper, the basic PSO method is combined with Newton's method, and interior point method for the optimal power flow/volt-var optimization. The results obtained on IEEE 30-bus system showed that the hybrid method based on PSO-IPM gives the best results compared to the other methods. It has been demonstrated that the proposed method can be easily applied to large systems. © 2006-2012 Asian Research Publishing Network (ARPN).
Balasubbareddy M.,Prakasam Engineering College
Ain Shams Engineering Journal | Year: 2016
A novel optimization algorithm is proposed to solve single and multi-objective optimization problems with generation fuel cost, total power losses and voltage stability index as objectives. Fruit fly Algorithm (FFA) along with real coded Genetic Algorithm (GA) cross-over operation treated as Hybrid Fruit fly Algorithm (HFFA) is proposed to select best value as compared with existing single-objective evaluation algorithms and the proposed non-dominated sorting hybrid fruit fly algorithm (NSHFFA) is used for the multi-objective optimal power flow problem. A fuzzy decision making tool is used to select the best Pareto front from the total generated solutions by the proposed algorithm. The effectiveness of the proposed algorithm is analyzed for various standard test systems such as Booth's function, Schaffer 2 function and IEEE 30 bus system. The obtained results using proposed algorithm are compared with the existing optimization methods. The results reveal better solution and computational efficiency of the proposed algorithm. © 2016 Faculty of Engineering, Ain Shams University.
Kasa S.,Prakasam Engineering College |
Ramasamy S.,Vellore Institute of Technology |
Ramanathan P.,Vellore Institute of Technology
IEEE International Conference on Circuit, Power and Computing Technologies, ICCPCT 2015 | Year: 2015
The power quality of interconnected grid is highly affected by the non linear loads and the interconnected renewable energy sources like wind and solar systems. The drastic changes in their input effectively change the grid parameters. This paper provides a novel method in which compensator continuously monitors the line parameters like voltage, currents, harmonics and reactive power to maintain the desired values at common connecting line (CCL). This paper utilizes the capabilities of hybrid Fuzzy and ZN PID Controlling of Dynamic Active Power Filter (DAPF) along with the Energy storage at dc link. The proposed model simulated in MATLAB/SIMULINK and at the grid common connecting line, the power factor and Total Harmonic Distortion values are much improved. © 2015 IEEE.