A low-complexity FS-MPDPC with extended voltage set for grid-connected converters

The conventional finite control set model predictive control (FS-MPC) for converter control is a well-studied area, but performance degradation due to the finite candidate vector set is still limiting its practical applications. Extending the voltage vector set using discrete space vector modulation has been proposed as a solution to overcome the limitations, but the brute-force search inherent to FS-MPC increases the computational complexity for a larger voltage set. This paper proposes a technique to alleviate the above issue by avoiding the brute-force search that is being executed in FS-MPC. The technique utilises the basics of direct-power-control theory to cut down the number of candidate voltage vectors applied in each cycle in the optimization problem. In this work, a design example having a voltage vector set of 37 elements is considered, and the proposed technique narrows down the search to eight optimal vectors. The proposed controller is specifically designed for active–reactive power control of a grid-connected converter that interlinks an energy storage system to the grid. The system is modelled in MATLAB Simulink environment and simulations are carried out to analyse the performance in all four active–reactive bidirectional power flow modes. Results validate the performance of the controller, both in steady-state and transient conditions. Further, the reduction in computational complexity due to the proposed algorithm is evaluated. It is observed that the number of computations was reduced approximately by 75% after applying the proposed algorithm for a system with a 37 voltage vector set

A Review of Control Techniques for Wind Energy Conversion System

Wind energy is the most efficient and advanced form of renewable energy (RE) in recent decades, and an effective controller is required to regulate the power generated by wind energy. This study provides an overview of state-of-the-art control strategies for wind energy conversion systems (WECS). Studies on the pitch angle controller, the maximum power point tracking (MPPT) controller, the machine side controller (MSC), and the grid side controller (GSC) are reviewed and discussed. Related works are analyzed, including evolution, software used, input and output parameters, specifications, merits, and limitations of different control techniques. The analysis shows that better performance can be obtained by the adaptive and soft-computing based pitch angle controller and MPPT controller, the field-oriented control for MSC, and the voltage-oriented control for GSC. This study provides an appropriate benchmark for further wind energy research

Design and Control of Power Converters 2019

In this book, 20 papers focused on different fields of power electronics are gathered. Approximately half of the papers are focused on different control issues and techniques, ranging from the computer-aided design of digital compensators to more specific approaches such as fuzzy or sliding control techniques. The rest of the papers are focused on the design of novel topologies. The fields in which these controls and topologies are applied are varied: MMCs, photovoltaic systems, supercapacitors and traction systems, LEDs, wireless power transfer, etc

Improving energy capture and power quality of power electronic connected generation

Power electronic converter is a significant intermediate media for electric renewable energy systems when integrated into the utility grid. Renewable energy systems such as wind, solar and wave energy systems usually operate with irregular natural energy sources. Advanced energy conversion interfaces are therefore highly desirable for stable power supply, good system reliability and high energy extraction efficiency. This thesis investigates the power generation and conversion systems, with the concentrations on the long-term operation cost, full-power-range efficiency and power quality of power electronic converters, for wind, solar and wave energy applications. The story starts with a hybrid wind-solar energy system design targeting at improving energy yield and system reliability. Wind energy and solar energy, as two complementary energy resources, are combined in a single energy system that features improved energy supply stability and reduced energy storage requirement. Special adaptive energy extraction maximisation algorithms are developed for energy generators in order to increase the energy extraction efficiency. The overall energy cogeneration system can offer high productivity and robustness under varying weather conditions. In the second part of this thesis, a bidirectional DC-AC converter based on the well-established Silicon (Si) based two-level circuit and the emerging Silicon Carbide (SiC) based three-level circuit is investigated, with the motivation to enhance the full-power-range efficiency in renewable energy generation and conversion systems. The SiC based circuit is advantageous especially under low-power conditions due to its low switching losses. The costs of power electronics, especially the power semiconductor devices, are taken into account. The Si based circuit provides a more cost-effective option and lower conduction losses under high-power conditions to further improve the overall energy conversion efficiency. All these benefits are integrated in a single converter called hybrid level-matching (HLM) converter, which is comprised of parallel-connected SiC and Si based circuits. A model predictive control (MPC) algorithm is developed to assist the switching state selection for minimised power losses across the full power range. The proposed HLM converter shows similar power control quality and better full-power-range efficiency compared to its conventional counterparts. The operation of the HLM converter under the proposed MPC controller is experimentally verified by a lab-scale demonstrator. The final part of this thesis focuses on the control of an existing flying capacitor based multilevel converter known as stacked multicell converter (SMC). Considered as a superior DC-AC converter candidate in renewable energy standalone load applications, SMC can be controlled under different capacitor voltage ratios to increase the output voltage resolution. This is studied to explore the potential to improve power control quality within the same SMC circuit by applying different capacitor voltage set-points. The capacitor voltage balancing and the basic three-phase current control are achieved by means of a space vector based MPC algorithm. A method to reduce the computational burden by shrinking the space vector candidate size is proposed. The trade-off between capacitor voltage balancing and current reference tracking poses a major challenge to the SMC in its flexibility in capacitor voltage ratio choice. This is investigated in detail to verify the feasibility to reduce load harmonic distortion by modifying the traditional capacitor voltage ratio in a SMC with three stacked cells

Microgrids/Nanogrids Implementation, Planning, and Operation

Today’s power system is facing the challenges of increasing global demand for electricity, high-reliability requirements, the need for clean energy and environmental protection, and planning restrictions. To move towards a green and smart electric power system, centralized generation facilities are being transformed into smaller and more distributed ones. As a result, the microgrid concept is emerging, where a microgrid can operate as a single controllable system and can be viewed as a group of distributed energy loads and resources, which can include many renewable energy sources and energy storage systems. The energy management of a large number of distributed energy resources is required for the reliable operation of the microgrid. Microgrids and nanogrids can allow for better integration of distributed energy storage capacity and renewable energy sources into the power grid, therefore increasing its efficiency and resilience to natural and technical disruptive events. Microgrid networking with optimal energy management will lead to a sort of smart grid with numerous benefits such as reduced cost and enhanced reliability and resiliency. They include small-scale renewable energy harvesters and fixed energy storage units typically installed in commercial and residential buildings. In this challenging context, the objective of this book is to address and disseminate state-of-the-art research and development results on the implementation, planning, and operation of microgrids/nanogrids, where energy management is one of the core issues

Power Electronics and Energy Management for Battery Storage Systems

The deployment of distributed renewable generation and e-mobility systems is creating a demand for improved dynamic performance, flexibility, and resilience in electrical grids. Various energy storages, such as stationary and electric vehicle batteries, together with power electronic interfaces, will play a key role in addressing these requests thanks to their enhanced functionality, fast response times, and configuration flexibility. For the large-scale implementation of this technology, the associated enabling developments are becoming of paramount importance. These include energy management algorithms; optimal sizing and coordinated control strategies of different storage technologies, including e-mobility storage; power electronic converters for interfacing renewables and battery systems, which allow for advanced interactions with the grid; and increase in round-trip efficiencies by means of advanced materials, components, and algorithms. This Special Issue contains the developments that have been published b researchers in the areas of power electronics, energy management and battery storage. A range of potential solutions to the existing barriers is presented, aiming to make the most out of these emerging technologies