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Computational Intelligence in Photovoltaic Systems

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ISBN: 9783039210985 9783039210992 Year: Pages: 180 DOI: 10.3390/books978-3-03921-099-2 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2019-12-09 16:10:12
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Photovoltaics, among the different renewable energy sources (RES), has become more popular. In recent years, however, many research topics have arisen as a result of the problems that are constantly faced in smart-grid and microgrid operations, such as forecasting of the output of power plant production, storage sizing, modeling, and control optimization of photovoltaic systems. Computational intelligence algorithms (evolutionary optimization, neural networks, fuzzy logic, etc.) have become more and more popular as alternative approaches to conventional techniques for solving problems such as modeling, identification, optimization, availability prediction, forecasting, sizing, and control of stand-alone, grid-connected, and hybrid photovoltaic systems. This Special Issue will investigate the most recent developments and research on solar power systems. This Special Issue “Computational Intelligence in Photovoltaic Systems” is highly recommended for readers with an interest in the various aspects of solar power systems, and includes 10 original research papers covering relevant progress in the following (non-exhaustive) fields: Forecasting techniques (deterministic, stochastic, etc.); DC/AC converter control and maximum power point tracking techniques; Sizing and optimization of photovoltaic system components; Photovoltaics modeling and parameter estimation; Maintenance and reliability modeling; Decision processes for grid operators.

PV System Design and Performance

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ISBN: 9783039216222 9783039216239 Year: Pages: 360 DOI: 10.3390/books978-3-03921-623-9 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Physics (General)
Added to DOAB on : 2019-12-09 11:49:16
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Photovoltaic solar energy technology (PV) has been developing rapidly in the past decades, leading to a multi-billion-dollar global market. It is of paramount importance that PV systems function properly, which requires the generation of expected energy both for small-scale systems that consist of a few solar modules and for very large-scale systems containing millions of modules. This book increases the understanding of the issues relevant to PV system design and correlated performance; moreover, it contains research from scholars across the globe in the fields of data analysis and data mapping for the optimal performance of PV systems, faults analysis, various causes for energy loss, and design and integration issues. The chapters in this book demonstrate the importance of designing and properly monitoring photovoltaic systems in the field in order to ensure continued good performance.

Keywords

floating PV generation structure --- fiber reinforced polymeric plastic (FRP) --- pultruded FRP --- sheet molding compound FRP --- structural design --- mooring system --- photovoltaic plants --- software development --- performance analysis --- loss analysis --- graphical malfunction detection --- fuzzy logic controller --- maximum power point tracking (MPPT) --- dc-dc converter --- photovoltaic system --- photovoltaic system --- modeling --- stability analysis --- grid-connected --- photovoltaics --- modules --- shade resilience --- buck converter --- module architecture --- PV array --- FCM algorithm --- cluster analysis --- fault diagnosis --- membership algorithm --- solar energy --- photovoltaic module performance --- organic soiling --- Scanning Electron Microscopy (SEM) --- floating PV systems (FPV) --- floating PV module (FPVM) --- ANOVA --- Bartlett’s test --- Hartigan’s dip test --- Jarque-Bera’s test --- Kruskal-Wallis’ test --- Mood’s Median test --- residential buildings --- Tukey’s test --- urban context --- solar cells --- AC parameters --- underdamped oscillation --- impedance spectroscopy --- partial shading --- photo-generated current --- photovoltaic performance --- maximum power point --- image processing --- photovoltaic (PV) systems monitoring --- malfunction detection --- data analysis --- PV systems --- cluster analysis --- failure detection --- ageing and degradation of PV-modules --- performance analysis --- UV-fluorescence imaging --- photovoltaic modeling --- parameter estimation --- optimization problem --- metaheuristic --- opposition-based learning --- quasi-opposition based learning --- improved cuckoo search algorithm --- PV energy performance --- PV thermal performance --- thermal interaction --- conventional roof membrane --- vegetated/green roof --- Renewable Energy --- PV systems --- forecast --- energy --- simulation --- silicon --- photovoltaics --- modules --- electroluminescence --- defects --- cracks --- performance ratio --- annual yield --- GIS --- PV system --- spatial analyses --- performance ratio --- GIS --- PV module --- system --- population density --- urban compactness --- solar farm --- photovoltaics --- reactive power support --- STATCOM --- technical costs --- photovoltaic systems --- reliability --- real data --- energy yield --- fault tree analysis --- failure mode and effect analysis --- availability --- failure rates

Power Quality in Microgrids Based on Distributed Generators

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ISBN: 9783039280063 9783039280070 Year: Pages: 194 DOI: 10.3390/books978-3-03928-007-0 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2020-01-07 09:08:26
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This book comprises ten articles covering different aspects of power quality issues in microgrids and distributed generation (DG) systems, including 1) Detection and estimation of power quality; 2) Modeling; 3) Harmonic control for DG systems and microgrids; 4) Stability improvements for microgrids. Different power quality phenomena and solution were studied in the included papers, such as harmonics, resonance, frequency deviation, voltage sag, and fluctuation. From a network point of view, some papers studied the harmonic and stability issues in standalone microgrids which are more likely to cause power quality problems. Other papers discussed the power quality problems in microgrids which are weakly interconnected with the main distribution grid. In view of the published papers, there is a trend that increasingly advanced modeling, analysis, and control schemes were applied in the studies. Moreover, the latest works focus not only on single-unit problems but also multiple units or network issues. Although some of the hot topics are not included, this book covers multiple aspects of the current power quality research frontier, and represents a particularly useful reference book for frontier researchers in this field.

Energy and Technical Building Systems - Scientific and Technological Advances

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ISBN: 9783039281787 9783039281794 Year: Pages: 220 DOI: 10.3390/books978-3-03928-179-4 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Physics (General)
Added to DOAB on : 2020-04-07 23:07:09
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Future buildings require not only energy efficiency but also proper building automation and control system functionalities in order to respond to the needs of occupants and energy grids. These development paths require a focus on occupant needs such as good indoor climate, easy operability, and monitoring. Another area to be tackled is energy flexibility, which is needed to make buildings responsive to the price signals of electricity grids with increasing amounts of fluctuating renewable energy generation installed both in central grids and at building sites. This Special Issue is dedicated to HVAC systems, load shifting, indoor climate, and energy and ventilation performance analyses in buildings. All these topics are important for improving the energy performance of new and renovated buildings within the roadmap of low energy and nearly zero energy buildings. To improve energy performance and, at the same time, occupant comfort and wellbeing, new technical solutions are required. Occupancy patterns and recognition, intelligent building management, demand response and performance of heating, cooling and ventilation systems are some common keywords in the articles of this Special Issue contributing to future highly performing buildings with reliable operation.

Keywords

ice rinks --- air distribution solutions --- indoor air temperature gradient --- air handling unit configuration --- building energy efficiency --- building performance simulation --- energy and HVAC-systems in buildings --- energy piles --- validation --- floor slab heat loss --- energy --- computer simulations --- predictive rule-based control --- hourly CO2eq. intensity --- demand response --- energy flexibility --- n/a --- indoor environment quality --- thermal comfort --- personalized ventilation --- fuzzy logic --- environmental impact --- device efficiency --- air pollutant --- multi-households --- solid oxide fuel cell cogeneration system --- end-use energy consumption --- heating --- ventilation and air conditioning (HVAC) --- intelligent system management --- lighting electrical energy --- national electricity grid --- office building --- Photovoltaic system --- simulation --- Simulink® --- deep renovation --- energy retrofit --- detached house --- multi-objective optimization --- greenhouse gas emissions --- heat pump --- genetic algorithm --- occupancy density --- moisture conditions --- energy use --- indoor air quality --- ventilation rate --- KNX --- Neural Network (NN) --- Multilayer Perceptron (MLP) --- Random Tree (RT) --- Linear Regression (LR) --- Cloud Computing (CC) --- Internet of Things (IoT) --- LMS (Least Mean Squares) Adaptive filter (AF) --- gateway --- monitoring --- occupancy --- prediction --- IBM SPSS --- Intelligent Buildings (IB) --- energy savings

Intelligent Control in Energy Systems

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ISBN: 9783039214150 9783039214167 Year: Pages: 508 DOI: 10.3390/books978-3-03921-416-7 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Physics (General)
Added to DOAB on : 2019-12-09 11:49:15
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The editors of this Special Issue titled “Intelligent Control in Energy Systems” have attempted to create a book containing original technical articles addressing various elements of intelligent control in energy systems. In response to our call for papers, we received 60 submissions. Of those submissions, 27 were published and 33 were rejected. In this book, we offer the 27 accepted technical articles as well as one editorial. Authors from 15 countries (China, Netherlands, Spain, Tunisia, United Sates of America, Korea, Brazil, Egypt, Denmark, Indonesia, Oman, Canada, Algeria, Mexico, and the Czech Republic) elaborate on several aspects of intelligent control in energy systems. The book covers a broad range of topics including fuzzy PID in automotive fuel cell and MPPT tracking, neural networks for fuel cell control and dynamic optimization of energy management, adaptive control on power systems, hierarchical Petri Nets in microgrid management, model predictive control for electric vehicle battery and frequency regulation in HVAC systems, deep learning for power consumption forecasting, decision trees for wind systems, risk analysis for demand side management, finite state automata for HVAC control, robust ?-synthesis for microgrids, and neuro-fuzzy systems in energy storage.

Keywords

lithium-ion battery pack --- soft internal short circuit --- model-based fault detection --- battery safety --- internal short circuit resistance --- load frequency control --- model uncertainty --- ?-synthesis --- differential evolution --- decision tree --- preventive control --- Fault Ride Through Capability --- doubly-fed induction generator --- ancillary service --- frequency regulation --- demand response --- commercial/residential buildings --- HVAC systems --- model predictive control --- rule-based control --- position control --- static friction --- exhaust gas recirculation (EGR) valve system --- automotive application --- hybrid electric vehicle --- compound structured permanent-magnet motor --- energy management strategy --- instantaneous optimization minimum power loss --- back propagation (BP) neural network --- power transformer winding --- vibration characteristics --- multiphysical field analysis --- short-circuit experiment --- winding-fault characteristics --- occupancy model --- occupancy-based control --- model predictive control --- energy efficiency --- building climate control --- solar monitoring system --- photovoltaic array --- energy management --- demand side management --- operation limit violations --- probabilistic power flow --- network sensitivity --- neural networks --- railway --- high-speed railway --- neutral section --- medium voltage --- thyristor --- AC static switch --- adaptive backstepping --- nonlinear power systems --- sliding mode control --- error compensation --- ?-class function --- energy internet --- multi-energy complementary --- integrated energy systems --- distribution network planning --- electric power consumption --- multi-step forecasting --- long short term memory --- convolutional neural network --- system identification --- parameter estimation --- system modelling --- model reduction --- polynomial expansion --- orthogonal least square --- industrial process --- electric vehicle --- battery packs --- active balance --- model predictive control --- hierarchical Petri nets --- urban microgrids --- phase-load balancing --- fuzzy logic controller --- MPPT: maximum power point tracking --- photovoltaic system --- step-up boost converter --- proton exchange membrane fuel cell --- four phases interleaved boost converter --- neural network controller --- AC-DC converters --- bridgeless SEPIC PFC converter --- repetitive controller --- current distortion --- current controller design --- stochastic power system operating point drift --- wind integrated power system --- power oscillations --- adaptive damping control --- continuous voltage control --- multiple-point control --- interaction minimization --- pilot point --- adjacent areas --- ANFIS --- artificial neural network --- fuzzy --- small scale compressed air energy storage (SS-CAES) --- voltage controlling --- electric meter --- error estimation --- line loss --- RLS --- double forgetting factors --- hybrid power plant --- control architecture --- coordination of reserves --- frequency support --- frequency control dead band --- fast frequency response --- frequency containment reserve --- line switching --- voltage violations --- three-stage --- fractional order fuzzy PID controller --- neural network algorithm --- PEM fuel cell --- MPPT operation --- sensitivity analysis --- intelligent control --- artificial intelligence --- energy management system --- smart micro-grid --- energy systems --- intelligent buildings --- forecasting --- multi-agent control --- optimization

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