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The feasible operation region (FOR) allows capturing the aggregated flexibility potential of DER within radial distribution networks, while respecting the technical restrictions of both plants and grid. This thesis proposes a novel approach to compute the FOR, the Linear Flexibility Aggregation (LFA) method, based on the solution of a sequence of linear OPF. With the objective of reducing the computation time, without compromising the accuracy of the assessed FOR. It is shown that the proposed method provides a considerable reduction in processing time compared to similar methods, e.g. Monte-Carlo simulations or non-linear OPF-based methods.
This book provides the insight of various topology and control algorithms used for power control in distributed energy power conversion systems such as solar, wind, and other power sources. It covers traditional and advanced control algorithms of power filtering including modelling and simulations, and hybrid power generation systems. The adaptive control, model predictive control, fuzzy-based controllers, Artificial Intelligence-based control algorithm, and optimization techniques application for estimating the error regulator gains are discussed. Features of this book include the following: Covers the schemes for power quality enhancement, and voltage and frequency control. Provides complete mathematical modelling and simulation results of the various configurations of the renewable energy-based distribution systems. Includes design, control, and experimental results. Discusses mathematical modelling of classical and adaptive control techniques. Explores recent application of control algorithm and power conversion. This book is aimed at researchers, professionals, and graduate students in power electronics, distributed power generation systems, control engineering, Artificial Intelligent-based control algorithms, optimization techniques, and renewable energy systems.
Discusses flexibility issues in modern and future Smart power systems. Discusses flexible smart distribution grid with renewable-based distributed generation. Explains high penetration level of renewable energy sources and flexibility issues. Highlights flexibility based on energy storages, demand response, and plug-in electric vehicles. Describes Flexibility sources in modern power systems.
This book offers a broad and detailed view about how traditional distribution systems are evolving smart/active systems. The reader will be able to share the view of a number of researchers directly involved in this field. For this sake, philosophical discussions are enriched by the presentation of theoretical and computational tools. A senior reader may incorporate some concepts not available during his/her graduation process, whereas new Engineers may have contact with some material that may be essential to his/her practice as professionals.
Nowadays distributed energy resources (DER) can provide certain reactive power flexibility for voltage support in alternating current power systems. Besides local voltage support at the distribution level, the DER can also provide reactive power flexibility at the transmission-distribution (T-D) interface, which can improve the reactive power grid adequacy of the distribution level. The term reactive power grid adequacy describes the compliance level of a distribution grid with a predefined reactive power range at the T-D interface. However, a challenge in grid planning procedures is the consideration of the usually intermittent reactive power flexibility potential by the DER. This study aims to develop practicable grid planning procedures for advanced reactive power management at the T-D interface by making use of controllable reactive power sources at the distribution level, like DER and distributed reactive power compensators. The study is performed for a real German distribution grid section with very high-distributed generation.
Microgrids and Active Distribution Networks offer a potential solution for sustainable, energy-efficient power supply to cater for increasing load growth, supplying power to remote areas, generation of clean power and reduction in emission of greenhouse gases & particulates as per Kyoto protocol.
Due to the inherent volatility and randomness, the increasing share of energy from renewable resources presents a challenge to the operation of multi-energy systems with heterogeneous energy carriers such as electricity, heat, hydrogen, etc. These factors will make the systems hard to adjust their supply and demand flexibly to maintain energy balance to ensure reliability. Further, this hinders the development of a low-carbon and economically viable energy system. By making full use of the synergistic interaction of generation, transmission, load demand, and energy storage, a three-fold approach focused on quantifying demand flexibility, evaluating supply capabilities, and enhancing resilience can unlock the flexibility potential across various sectors of new energy systems. This approach provides an effective means of facilitating the transition from conventional energy systems to low-carbon, clean-energy-oriented paradigms. However, huge challenges arising from renewable energy pose great obstacles to the aforementioned solution pathway. The main objectives of this Research Topic are： 1. Develop advanced carbon emission accounting and measurement techniques for emerging multi-energy systems 2. Design effective methods for predicting renewable electricity generation 3. Proposed efficient methods for quantitative assessment of uncertainty from renewables and loads 4. Put forward advanced evaluation, optimization, and planning strategies incorporating diverse flexibility resources 5. Design multifaceted market mechanisms and collaborative frameworks balancing economics and low carbon footprint 6. Develop operational control and resilience-enhancement techniques for distribution networks under large-scale distributed energy integration
The increasing pressure from energy and environmental protection has made the research for sustainable electrical energy urgent. The integration of high-proportion renewable energy resources offers significant achievements for decreased carbon emissions and increased economic costs. This calls for new concepts of modelling, monitoring, planning, optimization, control, etc. Due to the complexity of electrical energy systems (EES), it is challenging to design effective and smart solutions. The emerging digital technologies may provide promising solutions owing to the successful development of artificial intelligence, blockchain, edge computing, 5g/6g, etc. Moreover, digital technologies facilitate the integration of cyber and physical systems, which further benefits the intelligent detection, coordination, and management of EESs. There are many challenges that require further research and development on policy, architecture, modelling, planning, operation, optimization, and control for sustainable EESs.