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7th International Conference on Smart and Sustainable Technologies, SpliTech 2022

作者： Beus, Mateo Pandzic, Hrvoje Sirovina, Renato University of Zagreb Faculty of Electrical Engineering and Computing Department of Energy and Power Systems Zagreb Croatia Brodotehna Ltd. Zagreb Croatia

ISBN: (纸本)9789532901160

Nowadays, classical Proportional-Integral-Derivative (PID) controllers are mainly used for operation of most hydro turbine governors. Although the PID controllers have many advantages, such as simple implementation, their main weaknesses are resiliency to the disturbances and uncertainties, as well as the integral windup. Therefore, a hydro turbine governor's speed controller based on the model predictive control (MPC) is developed and applied to a non-linear simulation model of a laboratory hydro power plant. The frequency response of the hydro power plant in the islanded mode with MPC controller is compared to the classical PID controller. The simulation results clearly indicate that the MPC provides better performance than the classical PID controller. In that regard, it can be concluded that this type of controller has a practical implementation potential. © 2022 University of Split, FESB.

关键词： Three term control systems

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A New Optimal Centralized Demand Side Management for a Campus Smart Microgrid 32

A New Optimal Centralized Demand Side Management for a Campu...

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32nd IEEE International Symposium on Industrial Electronics, ISIE 2023

作者： Hassan, Mohamed A. Eladl, Abdelfattah A. Sedhom, Bishoy E. Saeed, Mohammed A. King Fahd University of Petroleum & Minerals Interdisciplinary Research Center for Renewable Energy and Power Systems Research Institute Dhahran31261 Saudi Arabia Mansoura University Faculty of Engineering Electrical Engineering Department El-Mansoura Egypt

ISBN: (纸本)9798350399714

Based on demand response and energy theft detection, a novel optimal demand side management (DSM) is proposed for a smart microgrid (SMG). A campus SMG containing photovoltaic (PV), wind turbine, diesel station, smart meters, inverters, batteries, sensors, domestic loads, and central} {DSM unit is built in MATLAB. The SMG elements are communicated using Wi-Fi protocol and internet of things (IoT) technology. The proposed DSM is optimally designed using Grey Wolf Optimization (GWO) to minimize the customer's electricity bill, maximize the user comfort, and obtain the optimal load patterns in the hypothetical campus SMGs. It inspires consumers to alter their daily consumption patterns over a variable tariff according to real-time pricing (RTP), time of use (ToU), and critical peak pricing (CPP) methods. The results proved the proposed technique effectiveness for reducing the user's electricity bill and conserving utility resources through energy theft detection. Finally, the proposed GWO technique is compared with firefly algorithm (FFA) and bacteria foraging algorithm (BFA) to verify its superiority. © 2023 IEEE.

关键词： Internet of things

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Probabilistic Planning of Virtually-Hybrid Harmonic Filters in Modern Distribution systems

Probabilistic Planning of Virtually-Hybrid Harmonic Filters ...

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2023 International Conference on Smart Energy systems and Technologies, SEST 2023

作者： Kazemi-Robati, Ehsan Hafezi, Hossein Sepasian, Mohammad Sadegh Silva, Bernardo Inesc Tec Center of Power & Energy Systems Porto Portugal Tampere University Faculty of Information Technology and Communication Sciences Tampere Finland Shahid Beheshti University Department of Electrical Engineering Tehran Iran University of Porto and Inesc Tec Faculty of Engineering Porto Portugal

ISBN: (纸本)9798350397901

The increasing number of power-Electronic (PE) interfaced devices in the new generation of distribution systems results in concerns about the power quality of modern grids. Besides the loads, the harmonic-injecting devices are increasingly penetrating the generation, storage, and delivering levels of energy dispatch systems in the microgrids and the LV networks which can be easily reflected in the primary distribution systems. As an economic, applicable, and efficient solution, the passive filters can be optimized and added to the grid to absorb the harmonics. Furthermore, in the presence of controllable devices such as PE-interfaced DGs and storage units, a coordination strategy can be implemented to actively decrease the effect of the nonlinear loads. Accordingly, the idea of a virtually-hybrid filter can be developed by the use of passive filters and the coordinated active harmonic filtering strategy. In this paper, by providing an explanation for the developed coordination strategy of active filters, the probabilistic techno-economic planning of virtually-hybrid filters is studied considering the different combinations of the linear and nonlinear loads in a modern primary distribution system. Simulation results have proved that the proposed method is capable of minimizing harmonic distortions and grid loss by the use of the optimal passive filters and the suggested coordination strategy of the active devices. © 2023 IEEE.

关键词： power quality

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Robust Switch Selection in Radial Distribution systems Using Combinatorial Optimization

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CSEE Journal of power and Energy systems 2022年第3期8卷 933-940页

作者： Hani Mavalizadeh Omid Homaee Reza Dashti Josep M.Guerrero Hassan Haes Alhelou Pierluigi Siano Fanavaran Moj Khatam Tehran 16844Iran School of Electrical Engineering Iran University of Science and TechnologyTehran 16844Iran School of Advanced Technologies Iran University of Science and TechnologyTehran 16844Iran Department of Energy Technology Aalborg UniversityAalborg 9220Denmark Department of Electrical Power Engineering Faculty of Mechanical and Electrical EngineeringTishreen UniversityLattakia 2230Syria Department of Management&Innovation Systems University of SalernoFisciano 84084Italy

Selecting the best type of equipment among available switches with different prices and reliability levels is a significant challenge in distribution system *** this paper,the optimal type of switches in a radial distribution system is selected by considering the total cost and reliability criterion and using the weighted augmented epsilon constraint method and combinatorial optimization.A new index is calculated to assess the robustness of each Pareto ***,for each failure,repair time is considered based on historical *** Carlo simulations are used to consider the switch failure uncertainty and fault repair time uncertainty in the *** proposed framework is applied to an RTBS Bus-2 test ***,the model is also applied to an industrial system to verify the proposed method’s excellent performance in larger practical engineering problems.

关键词： Combinatorial optimization Monte Carlo Simulation multi-objective optimization radial distribution system reliability robustness

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Design and Analysis of a power-to-Hydrogen-to-power-based Multi-Energy Microgrid

Design and Analysis of a Power-to-Hydrogen-to-Power-based Mu...

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2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023

作者： Elkadeem, Mohamed R. Kotb, Kotb M. Abido, Mohammad A. Tanta University Faculty of Engineering Electrical Power and Machines Engineering Department Tanta Egypt King Fahd University of Petroleum and Minerals Interdisciplinary Research Center for Renewable Energy and Power Systems Saudi Arabia King Fahd University of Petroleum and Minerals Department of Electrical Engineering Saudi Arabia Kfupm SDAIA-KFUPM Joint Research Center for Artificial Intelligence Saudi Arabia

ISBN: (纸本)9781665471640

Today, integrating hydrogen and renewable technologies has become necessary to reach a reliable and economical energy system for modern cities. This paper introduces a design optimization and analysis model for a power-to-hydrogen-to-power (P2H2P)-based multi-energy microgrid (MEµG). The system is proposed to meet the power, heat, and residents-owned electric vehicle charging demands of the hypothetical apartment building in Saudi Arabia. The proposed system comprises a solar PV, wind turbine, battery, fuel cell, electrolyzer, hydrogen storage, and gas boiler. The P2H2P-MEµG was modelled, simulated, and optimized with an objective function to minimize the system lifecycle cost and maximize the renewable energy penetration, considering various system operation constraints. Numerical results enable the optimal capacity sizing and thorough investigation of the positive impacts of P2H2P on operational, economic, and environmental indices of the MEµG compared with other energy system alternatives. © 2023 IEEE.

关键词： electric vehicle Multi-energy microgrid optimization power-to-hydrogen-to-power urban building

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An LLMS Remotely Controlled Experiment for Smart Hydro Energy Storage and Irrigation System powered by Photo-Voltaic Array and IoT

An LLMS Remotely Controlled Experiment for Smart Hydro Energ...

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2022 International Conference on Artificial Intelligence of Things, ICAIoT 2022

作者： El Zoghby, Helmy M. Hosny, Hadeer A. Hassan Elmesalawy, Mahmoud M. El-Haleem, Ahmed M. Abd Helwan University Faculty of Engineering Department of Electrical Power and Machines Engineering Department Cairo Egypt Helwan University Faculty of Engineering Computers and Systems Engineering Department Cairo Egypt Helwan University Faculty of Engineering Electronics and Communications Engineering Department Cairo Egypt

ISBN: (纸本)9798350396768

Many students all over the world have faced some educational issues due to the Covid-19 epidemic. As a consequence, many educational institutes focused on shifting to an E-learning system. This paper introduces a design and implementation steps of a remotely controlled experiment representing a smart hydro energy storage and irrigation system with monitoring capability using photovoltaic power and the Internet of Things (IoT). The experiment is running within the newly proposed Laboratory Learning Management System (LLMS). The remotely controlled experiment is a smart hydro energy storage and irrigation system, where the stored water during the daytime is used at night for smart irrigation of three different types of plants based on the moisture and temperature, in addition to the amount of water that the user sets for every area. In this experiment, during the daytime, the utilities are feeding from the solar panel and battery, but at night, the utilities are feeding from the battery or the hydro turbine that converts the water potential energy to electric energy. The overall Experiment is controlled using IoT sensors and relays which are connected and driven by the parameters that the user sets and can be communicated with the system using the Internet which allows the system to be proactive and take the needed decision in the right time. The main contribution of this system's experiment is the pumping of underground water in irrigation using a renewable and clean energy source, in addition to controlling the systems using IoT through the proposed LLMS. © 2022 IEEE.

关键词： Solar energy

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Simple Mathematical Model of BESS Suitable for Optimization Purposes

Simple Mathematical Model of BESS Suitable for Optimization ...

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ELEKTRO

作者： Marián Tomašov Matej Tkáč Pavel Stanko Martin Matejko Department of Power Systems and Electric Drives Faculty of Electrical Engineering and Information Technology University of Žilina ŽILINA Slovakia

ISBN: (数字)9798350372359

ISBN: (纸本)9798350372366

Modelling of battery systems is becoming an important aspect in the fields of electric power engineering and electromobility. With the rapid development of artificial intelligence and optimization algorithms that enable the optimization and efficiency improvement of almost any system, battery models are used as a tool to optimize the operation of electric grids, electric vehicle charging, or storing excess energy generated from renewable sources. Optimization involves a large number of computations with a significant volume of data, so the use of less complex models is advantageous, especially in the initial phases. A simple model can ensure quick calculations, easy supervision, error detection, and the optimization result is more stable and easier to interpret. This article introduces a simple mathematical model of a battery system suitable for the initial stages of optimization problems. The main advantages lie in the straightforward parameterization and implementation of the model.

关键词： Degradation Accuracy Biological system modeling Computational modeling Mathematical models Battery charge measurement Batteries

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Comprehensive Overview of Multi-agent systems for Controlling Smart Grids

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CSEE Journal of power and Energy systems 2022年第1期8卷 115-131页

作者： Om Prakash Mahela Mahdi Khosravy Neeraj Gupta Baseem Khan Hassan Haes Alhelou Rajendra Mahla Nilesh Patel Pierluigi Siano Power System Planning Division Rajasthan Rajya Vidyut Prasaran Nigam Ltd.Jaipur-302005India Media Integrated Communication Laboratory Graduate School of EngineeringOsaka UniversityOsakaJapan Computer Science and Engineering Department Oakland UniversityRochesterUSA Department of Electrical and Computer Engineering Hawassa UniversityHawassa 1530Ethiopia Faculty of Mechanical and Electrical Engineering Tishreen UniversityLattakiaSyria Department of Electrical Engineering National Institute of Technology Kurukshetra Department of Management&Innovation Systems University of Salerno84084 SalernoItaly

Agents are intelligent entities that act flexibly and autonomously and make wise decisions based on their intelligence and experience.A multi-agent system(MAS)contains multiple,intelligent,and interconnected collaborating agents for solving a problem beyond the ability of a single agent.A smart grid(SG)combines advanced intelligent systems,control techniques,and sensing methods with an existing utility power *** controlling smart grids,various control systems with different architectures have already been ***-based control of power system operations has been shown to overcome the limitations of time required for analysis,relaying,and protection;transmission switching;communication protocols;and management of plant *** systems provide an alternative for fast and accurate power network *** paper provides a comprehensive overview of MASs used for the control of smart *** paper provides a wide-spectrum view of the status of smart grids,MAS-based control techniques and their implementation for the control of smart *** of MASs in the control of various aspects of smart grids-including the management of energy,marketing energy,pricing,scheduling energy,reliability,network security,fault handling capability,communication between agents,SG-electrical vehicles,SG-building energy systems,and soft grids—have been critically *** than a hundred publications on the topic of MAS-based control of smart grids have been critically examined,classified,and arranged for fast reference.

关键词： Coordinated control multi-agent systems renewable energy sources smart energy infrastructure smart grid

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Enhanced interconnected microgrids for water-pumps networks towards zero net energy farms

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International Journal of Reasoning-based Intelligent systems 2021年第3期13卷 182-190页

作者： Othman, Ahmed M. Gabbar, Hossam A. Faculty of Energy Systems and Nuclear Science University of Ontario Institute of Technology Canada Electrical Power and Machine Department Faculty of Engineering Zagazig University Egypt Canada

This paper presents design of resilient interconnected microgrids to provide clean and cheap energy to water pumps infrastructure at farms during normal and emergency situations in terms of different renewable resources. Water networks are relied on every day by millions of customers' utilisation and bring billions worth of economic goods to market. However, water network infrastructures are dependent on the electric grid, which is vulnerable to extreme weather, changing supply and demand patterns, and cyber-terrorism. The proposed microgrid includes hybrid energy storage including battery systems, which provides flexible and adaptive energy supply in view of water pumps loads. Proposed microgrid will allow sustainable operation capability with resilient performance on both of economical and technical levels. In addition, the proposed solution, based on artificial bee colony (ABC) algorithm optimisation for zero net energy (ZNE), ensures sustained and high performance energy supply in different operational scenarios. Copyright © 2021 Inderscience Enterprises Ltd.

关键词： Energy resources

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Solving Tridiagonal Symmetric systems of Equations Using Circuit Theory Approach

IAENG International Journal of Computer Science

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IAENG International Journal of Computer Science 2021年第3期48卷 1-9页

作者： Todorovski, Mirko Angelov, Jordančo Vuletić, Jovica M. Todorovski is a Full Professor at the Institute of Power Transmission Systems Faculty of Electrical Engineering and Information Technologies University Ss. Cyril and Methodius Skopje Macedonia J. Angelov is an Assistant Professor at the Institute of Power Transmission Systems Faculty of Electrical Engineering and Information Technologies University Ss. Cyril and Methodius Skopje Macedonia J. Vuletic is an Assistant Professor at the Institute of Power Transmission Systems Faculty of Electrical Engineering and Information Technologies University Ss. Cyril and Methodius Skopje Macedonia

This paper introduces a novel solution method for solving symmetric tridiagonal systems. The main idea behind it is to construct a specific electric circuit with the same nodevoltage equations as the original system. This circuit has a specific "ladder" structure that is efficiently solved using a methodology known as admittance summation method. The proposed method avoids possible zero divisions by exploiting a specific circuit structure. This specific property is an equivalent to a pivoting strategy used in other methods. Performance tests show that the proposed method is comparable to Thomas algorithm, Gaussian elimination adapted for tridiagonal systems and Matlab backslash operator. The procedure executes O(N) times meaning that computation time is linearly proportional to system size. The whole method is coded very concisely. © 2021. All Rights Reserved.

关键词： Timing circuits

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