http://ieeexplore.ieee.org/iel5/5610941/5624686/05624745.pdf

Power electronics

This paper proposes a novel tuning design of proportional integral derivative (PID) controller via an improved kidney-inspired algorithm (IKA) with a new objective function. The main objective of the proposed approach is to optimize the transient response of the AVR system by minimizing the maximum overshoot, settling time, rise time and peak time values of the terminal voltage, and eliminating the steady state error. After obtaining the optimal values of the three gains of the PID controller (KP, KI, and KD) with the proposed approach, the transient response analysis was performed and compared with some of the current heuristic algorithms-based approaches in literature to show the superiority of the optimized PID controller. In order to evaluate the stability of the automatic voltage regulator (AVR) system tuned by IKA method, the pole/zero map analysis and Bode analysis are performed. Finally, the robustness analysis of the proposed approach has been carried out with variations in the parameters of the AVR system. The numerical simulation results demonstrated that the proposed IKA tuned PID controller has better control performances compared to the other existing approaches. The essence of the presented study points out that the proposed approach may successfully be applied for the AVR system.

/pdf/improved-kidney-inspired-algorithm-approach-for-tuning-of-4dr9zmzdrs.pdf

Improved Kidney-Inspired Algorithm Approach for Tuning of PID Controller in AVR System

Power converters systems aimed at renewable energy applications have become a common option for sustainable electricity and distributed generation, since their performance has improved, and prices have steadily been reduced in the last years. However, there are still several drawbacks that hinder their widespread installation, such as the simultaneous minimization of cost and volume, efficiency maximization, size reduction, etc. Quite often, accomplishing these goals requires dealing with complicated optimization problems, which are difficult to solve by classical methods. Metaheuristic techniques provide a viable alternative to solve complex intricate optimization problems, such as those encountered in the development of power electronics converters. This paper presents a comprehensive coverage of metaheuristic methodologies applied in the area of power converters. The review includes a classification of the methodologies and main objective functions in each paper surveyed. An aim for this paper is to highlight the importance of the optimization tools, and the many benefits they provide to tackle the challenges encountered in the design, operation, and control of power converters.

Metaheuristic Optimization Methods Applied to Power Converters: A Review

Short-term combined economic emission scheduling of hydrothermal power systems with cascaded reservoirs using differential evolution

Power System Engineering An Introduction By F de la C Chard Pp xii + 288 (London: Cleaver-Hume Press, Ltd, 1962) 50s

Power System Engineering

The purpose of this article is to present a dynamic programming recursive approach for the emission constrained economic dispatch (ECED). A multiobjective, multistage decision making problem has been solved analytically without the familiar Lambda (λ) iteration method. The optimization algorithm has been developed with a sequential dynamic programming model. The salient feature of this technique is that all the former conventional procedures have been avoided completely. This method has boundless applications for economic generation studies with different constraints. An accurate solution is made available on par with other conventional results. The validity of the proposed method is demonstrated with the help of two standard test systems.

Emission Constrained Economic Dispatch—A New Recursive Approach

Over the last two decades, voltage instability problem in power systems have become one of the most important concerns in the power industry. Recently, several network blackouts have been related to voltage collapse. The introduction of emerging Flexible AC Transmission Systems (FACTS) technology improves the Stability, reduces the losses and also reduces the cost of generation. FACTS controllers are used to control the voltage, current, impedance, phase angle and to damp the oscillations. Placing FACTS devices like SVC, TCSC, etc., in a suitable location will help to maintain bus voltages at a desired level and also to improve the Voltage Stability margins. This paper presents an effective method which is used to find the best optimal location of FACTS controllers by using metaheuristic algorithm called Genetic Algorithm. In this paper, the load flow analysis is performed by using conventional Newton Raphson technique. Different loading conditions are considered and MATLAB coding is developed for simulation.

Application of Genetic Algorithm to power system voltage stability enhancement using facts devices

The resonant converter (RC) is finding wide applications in many space and radar power supplies. Among various RCs LCL, LCC, and LCL-T topologies are broadly used. This manuscript presents a comparative evaluation of steady-state stability of LCL, LCC, and LCL-T resonant configurations. Careful analysis favors LCL RC among the aforementioned three configurations since the stability region is good for the LCL RC over the other configurations. Also, this paper presents a comparative evaluation of proportional integral (PI) controller and fuzzy logic controller for a modified LCL RC. The aforementioned controllers are simulated using MATLAB and their performance is analyzed. The outcome of the analysis shows the superiority of fuzzy control over the conventional PI control method. The LCL RC is proposed for applications in many space and radar power supplies. Design, simulation, and experimental results for a 133-W, 50-kHz LCL RC are presented in this manuscript which provide high efficiency (greater than 89%) even for 50% of load. Efficiencies greater than 80% are obtained at significantly reduced loads (11%). In this paper, the applicability of the Philips advanced RISC machine processor LPC 2148 is also investigated for implementing the controller for an RC.

Stability and Performance Investigation of a Fuzzy-Controlled LCL Resonant Converter in an RTOS Environment

This paper proposes an optimal tuning of Proportional Integral Derivative (PID) controller using Bacterial Foraging Optimization Algorithm (BFOA), to enhance the control performances and stability of Automatic Voltage Regulator (AVR) system. A new objective function designed with necessary time domain specifications is considered in this research work for tuning the gain parameters of PID controller. The effectiveness of the proposed BFOA tuned PID controller is extensively absorbed by analyzing the output performance, stability and robustness of the system. The superiority of the proposed approach is distinctly demonstrated by comparing their results with recently documented results of Swarm Intelligence (SI) techniques such as Differential Evolution (DE), Particle Swarm Optimization (PSO), Artificial Bee Colony (ABC) algorithms and Many Optimizing Liaisons (MOL) algorithm.

/pdf/enhancing-the-transient-performances-and-stability-of-avr-2bnkm9hrci.pdf

Enhancing the Transient Performances and Stability of AVR System with BFOA Tuned PID Controller

\n\nInverters are finding applications in electrical field where conversion\nfrom Direct Current (DC) to Alternate Current (AC) has become an inevitable option. The need of\nMulti Level Inverter (MLI) is to provide a high output power from medium voltage source. High\npower quality is the very basic important requirement for MLI used in medical electronic equipment.\nHarmonic elimination in MLI is a challenging one and is solved by optimum switching of\npower electronic switches present in the MLI topology.\n\n\n\nSeveral control strategies have been proposed for harmonic elimination in multilevel\ninverters. Newton-Raphson method is the conventional and iterative based method to obtain optimum\nswitching angle to minimize the Total Harmonic Distortion (THD). But it requires an initial\nguess of switching angles which is very close to the exact solution. To overcome this, harmonic\nelimination is converted into an optimization task and is solved by using evolutionary algorithms\nsuch as Genetic Algorithms (GA) and Particle Swarm Optimization (PSO). GA and PSO offer optimum\nswitching angles to minimize THD and used to increase the robustness of the system.\n\n\n\n The performance of proposed symmetric 21 level multilevel inverter with GA and PSO\ntechniques are analysed and the objective of minimum THD is obtained by using MATLABSIMULINK\nsoftware.In experimental setup, FPGA controller has been used to generate the Pulse\nWidth Modulation (PWM) control signals according to the proposed soft computing based switching\nstrategy. The experimental result is used to verify the ability of the proposed system for the\ngeneration of desired output voltage with minimum THD.\n\n\n\nThe proposed symmetric MLI with evolutionary algorithm based switching is a good\nchoice for medical electronic equipment used in hospital to obtain quality power with minimum\nTHD.\n

S. Muralidharan

Papers

Emission Constrained Economic Dispatch—A New Recursive Approach

Application of Genetic Algorithm to power system voltage stability enhancement using facts devices

Stability and Performance Investigation of a Fuzzy-Controlled LCL Resonant Converter in an RTOS Environment

Enhancing the Transient Performances and Stability of AVR System with BFOA Tuned PID Controller

Application of Evolutionary Algorithms for Harmonic Profile Optimization in Symmetric Multilevel Inverter used in Medical Electronic Equipments