The many different techniques for maximum power point tracking of photovoltaic (PV) arrays are discussed. The techniques are taken from the literature dating back to the earliest methods. It is shown that at least 19 distinct methods have been introduced in the literature, with many variations on implementation. This paper should serve as a convenient reference for future work in PV power generation.

/pdf/comparison-of-photovoltaic-array-maximum-power-point-2nci76j6n4.pdf

Comparison of Photovoltaic Array Maximum Power Point Tracking Techniques

As the maximum power operating point (MPOP) of photovoltaic (PV) power generation systems changes with changing atmospheric conditions (e.g. solar radiation and temperature), an important consideration in the design of efficient PV systems is to track the MPOP correctly. Many maximum power tracking (MPT) techniques have been considered in the past but techniques using microprocessors with appropriate MPT algorithms are favoured because of their flexibility and compatibility with different PV arrays. Although the efficiency of these MPT algorithms is usually high, it drops noticeably in cases of rapidly changing atmospheric conditions. The authors have developed a new MPT algorithm based on the fact that the MPOP of a PV generator can be tracked accurately by comparing the incremental and instantaneous conductances of the PV array. The work was carried out by both simulation and experiment, with results showing that the developed incremental conductance (IncCond) algorithm has successfully tracked the MPOP, even in cases of rapidly changing atmospheric conditions, and has higher efficiency than ordinary algorithms in terms of total PV energy transferred to the load.

Maximum photovoltaic power tracking: an algorithm for rapidly changing atmospheric conditions

This paper presents a review of advanced control techniques for microgrids. This paper covers decentralized, distributed, and hierarchical control of grid-connected and islanded microgrids. At first, decentralized control techniques for microgrids are reviewed. Then, the recent developments in the stability analysis of decentralized controlled microgrids are discussed. Finally, hierarchical control for microgrids that mimic the behavior of the mains grid is reviewed.

/pdf/advanced-control-architectures-for-intelligent-microgrids-5goubszp15.pdf

Advanced Control Architectures for Intelligent Microgrids—Part I: Decentralized and Hierarchical Control

Although the concept of variable-speed drives, based on utilization of multiphase machines, dates back to the late 1960s, it was not until the mid- to late 1990s that multiphase drives became serious contenders for various applications. These include electric ship propulsion, locomotive traction, electric and hybrid electric vehicles, ldquomore-electricrdquo aircraft, and high-power industrial applications. As a consequence, there has been a substantial increase in the interest for such drive systems worldwide, resulting in a huge volume of work published during the last ten years. An attempt is made in this paper to provide a brief review of the current state of the art in the area. After addressing the reasons for potential use of multiphase rather than three-phase drives and the available approaches to multiphase machine designs, various control schemes are surveyed. This is followed by a discussion of the multiphase voltage source inverter control. Various possibilities for the use of additional degrees of freedom that exist in multiphase machines are further elaborated. Finally, multiphase machine applications in electric energy generation are addressed.

Multiphase Electric Machines for Variable-Speed Applications

This paper addresses real and reactive power management strategies of electronically interfaced distributed generation (DG) units in the context of a multiple-DG microgrid system. The emphasis is primarily on electronically interfaced DG (EI-DG) units. DG controls and power management strategies are based on locally measured signals without communications. Based on the reactive power controls adopted, three power management strategies are identified and investigated. These strategies are based on 1) voltage-droop characteristic, 2) voltage regulation, and 3) load reactive power compensation. The real power of each DG unit is controlled based on a frequency-droop characteristic and a complimentary frequency restoration strategy. A systematic approach to develop a small-signal dynamic model of a multiple-DG microgrid, including real and reactive power management strategies, is also presented. The microgrid eigen structure, based on the developed model, is used to 1) investigate the microgrid dynamic behavior, 2) select control parameters of DG units, and 3) incorporate power management strategies in the DG controllers. The model is also used to investigate sensitivity of the design to changes of parameters and operating point and to optimize performance of the microgrid system. The results are used to discuss applications of the proposed power management strategies under various microgrid operating conditions

Power Management Strategies for a Microgrid With Multiple Distributed Generation Units

Preface.Basic Principles for Electric Machine Analysis.Direct--Current Machines.Reference--Frame Theory.Symmetrical Induction Machines.Synchronous Machines.Theory of Brushless dc Machines.Machine Equations in Operational Impedances and Time Constants.Linearized Machine Equations.Reduced--Order Machine Equations.Symmetrical and Unsymmetrical 2--Phase Induction Machines.Semicontrolled Bridge Converters.dc Machine Drives.Fully Controlled 3--Phase Bridge Converters.Induction Motor Drives.Brushless dc Motor Drives.Appendix: Trigonometric Relations, Constants and Conversion Factors, and Abbreviations.Index.

Analysis of electric machinery and drive systems

An important consideration in the operation of grid connected photovoltaic power systems is a means of adjusting the photovoltaic array voltage so that maximum output power is achieved for the given atmospheric conditions. The dynamic behiavior of a specific photovoltaic power system which utilizes the well known perturb and observe method of power tracking is examined. Using measured insolation data, it is demonstrated that the perturb and observe method of control migrates considerably from peak power whenever the insolation varies randomly as a result of cloud cover. An alternate method of power tracking is also examined. It is shown that the photovoltaic power system, utilizing the proposed method of power tracking, is able to track accurately peak power conditions during periods of randomly varying insolation.

Dynamic Behavior of a Class of Photovoltaic Power Systems

Common in the design of wind turbine generators of the multi-megawatt size is a soft shaft in the low speed part of the drive train. The presence of the soft shaft gives rise to a low frequency torsional mode involving an oscillation where the hub and blades swing relative to the generator. It is shown that normal wind variations can excite this mode resulting in large oscillatory fluctuations in the drive train torques as well as in the generated electric power. Methods of improving the dynamic performance are examined.

Dynamic Behavior of a Class of Wind Turbine Generators during Random Wind Fluctuations

PREFACE xi 1 MAGNETIC AND MAGNETICALLY COUPLED CIRCUITS 1 2 ELECTROMECHANICAL ENERGY CONVERSION 49 3 DIRECT-CURRENT MACHINES 97 4 WINDINGS AND ROTATING MAGNETOMOTIVE FORCE 145 5 INTRODUCTION TO REFERENCE-FRAME THEORY 185 6 SYMMETRICAL INDUCTION MACHINES 213 7 SYNCHRONOUS MACHINES 287 8 PERMANENT-MAGNET ac MACHINE 345 9 STEPPER MOTORS 415 10 UNBALANCED OPERATION AND SINGLE-PHASE INDUCTION MOTORS 451 APPENDIX A ABBREVIATIONS, CONSTANTS, CONVERSIONS, AND IDENTITIES 477 APPENDIX B MATRIX ALGEBRA 481 APPENDIX C THREE-PHASE SYSTEMS 489 INDEX 493

Electromechanical motion devices

Analytical relationships are established which can be used to predict the steady-state characteristics of line-commutated AC-DC-converter-synchronous machine systems. In particular, basic relationships are established in which the average DC voltage and the average electromagnetic torque are related to the converter firing delay angle. It is shown that these average-value relationships predict the steady-state performance with significantly higher accuracy than the classical converter average-value equations in which the d-axis subtransient reactance is used as the commutating reactance. >

Oleg Wasynczuk

Papers

Analysis of electric machinery and drive systems

Dynamic Behavior of a Class of Photovoltaic Power Systems

Dynamic Behavior of a Class of Wind Turbine Generators during Random Wind Fluctuations

Electromechanical motion devices

Analysis and average-value modeling of line-commutated converter-synchronous machine systems