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检索条件"机构=Electrical Engineering and Computing Systems"

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Zone Climate Control Living Lab with Wireless IoT Devices 5

Zone Climate Control Living Lab with Wireless IoT Devices

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5th IEEE International Conference on Smart systems and Technologies, SST 2022

作者： Jakšić, Mihael Vrbanc, Filip Le šić, Vinko University of Zagreb Laboratory for Renewable Energy Systems Faculty of Electrical Engineering and Computing Zagreb Croatia

ISBN: (数字)9781665482158

ISBN: (纸本)9781665482158

This paper outlies a possibility of using IoT devices for creating living lab that can be used for centralized or distributed control of building zones heating and cooling. The paper gives the description and specifications of the devices and servers that are used for creating a living lab, explains how the devices are currently set-up at a single floor of the real case study of a commercial building, gives a tentative estimate of the costs for the current setup. Furthermore, this paper describes the communication between the devices, explains the ways of data collection and lays out a brief overview of the planned future work for applying both centralized and distributed control of building climate. The paper is mainly focused on the business buildings, but the presented system is also suitable for the residential buildings, with the installation costs given in the paper. © 2022 IEEE.

关键词： Office buildings

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Requirements, Challenges and Experiences of Practical Demand Response in Households 5

Requirements, Challenges and Experiences of Practical Demand...

引用

5th IEEE International Conference on Smart systems and Technologies, SST 2022

作者： Malbašić, Bruno Pandžić, Hrvoje Department of Energy and Power Systems University of Zagreb Faculty of Electrical Engineering and Computing Zagreb Croatia

ISBN: (数字)9781665482158

ISBN: (纸本)9781665482158

Due to the increasing integration of unmanageable renewable energy sources into the electric power system, active consumers are beginning to participate in its balancing. In order to study the possibility of demand response, i.e. the participation of smart household appliances for balancing the power system, the Demand Response Laboratory at the University of Zagreb Faculty of electrical engineering and computing was designed. Today, it hosts a large number of controllable household appliances whose electricity consumption is continuously monitored. This paper brings preliminary results of the issues encountered when connecting and controlling smart devices within the laboratory and creating a single platform to enable their remote control. This is a prerequisite to assess the available flexibility and connectivity of the devices in the laboratory. © 2022 IEEE.

关键词： Laboratories

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Voltage-based Machine Learning Algorithm for Distribution of End-users Consumption Among the Phases 45

Voltage-based Machine Learning Algorithm for Distribution of...

引用

45th Jubilee International Convention on Information, Communication and Electronic Technology, MIPRO 2022

作者： Matijasevic, Terezija Antic, Tomislav Capuder, Tomislav University of Zagreb Faculty of Electrical Engineering and Computing Department of Energy and Power Systems Zagreb Croatia

ISBN: (纸本)9789532331035

Distribution networks are poorly observable, which is especially evident in different analyses of low voltage (LV) networks, where observability is decreased by the reduced number of smart meters and the lack of network data. Smart meters are in most cases used only for measuring consumption data, while other important information, such as the phase connection of end-users, is not adequately monitored. This aggravates the problem of phase identification for energy utilities, which consequently complicates the numerous calculations required for the smooth operation of the distribution network. In this paper, a comparison of voltage and consumption measurements-based phase identification is presented. Furthermore, a machine learning model based on the voltage measurements is extended to correctly identify the phases of end-users which are three-phase connected to an LV network. The model is tested on a simple 18-node network and the IEEE benchmark network with over 100 nodes and more than 50 end-users. Even though the results show a possibility of using both methods in simpler cases, the voltage measurement-based method is more robust and leads to smaller error in the phase detection problem but also can be extended and used in the case of three-phase connected end-users. © 2022 Croatian Society MIPRO.

关键词： Voltage measurement

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Operational Model of a RES Plant Coupled with Battery Storage Considering the Imbalance Settlement 13

Operational Model of a RES Plant Coupled with Battery Storag...

引用

13th Mediterranean Conference on Power Generation, Transmission, Distribution and Energy Conversion, MEDPOWER 2022

作者： Miljan, Petra Čović, Nikolina Pavić, Ivan Pandžić, Hrvoje Department of Energy and Power Systems University of Zagreb Faculty of Electrical Engineering and Computing Zagreb Croatia

ISBN: (纸本)9781839538445

In the European energy market, every market participant has a balance responsibility. With the expiration of feed-in tariffs, renewables are also becoming balance responsible. Since renewables, such as wind and solar, have very variable and not entirely predictable output, their imbalance management is highly challenging. This paper investigates the possibility of their imbalance management by installing battery energy storage within the renewable facility. The proposed bidding and balancing model, applicable to any type of distributed energy resource, is simulated for deterministic prices from the year 2020 and for the stochastic solar production scenarios. © 2022 IET Conference Proceedings. All rights reserved.

关键词： Battery storage

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Machine learning-based forecast of secondary distribution network losses calculated from the smart meters data 7

Machine learning-based forecast of secondary distribution ne...

引用

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

作者： Matijasevic, Terezija Antic, Tomislav Capuder, Tomislav University of Zagreb Faculty of Electrical Engineering and Computing Department of Energy and Power Systems Zagreb Croatia

ISBN: (纸本)9789532901160

With greater integration of smart meters, an opportunity to increase the observability of the traditionally unobservable low-voltage distribution networks is created. The purpose of such meters is mainly to collect and store data on end-user consumption for billing purposes, and it is these large data flows that open up a wide range of analyses to Distribution System Operators. Leading in this is the prediction of end-user consumption, which finds its application especially in determining network losses for more efficient planning and operation of distribution networks. Due to the complicated features of the collected load series data, the application of synthetic curves for the consumption forecasting problem is abandoned and energy utilities are turning to more complex solutions, most often based on machine learning algorithms. Therefore, this paper presents a machine learning-based model for forecasting losses in a low-voltage distribution network. Power flow simulation tools are frequently used to estimate and predict active power losses but are applied only in the case of available network topology and elements data. Hence, in this paper, special emphasis is placed on a model that does not rely on network data, but only on historical measurements collected from smart meters. The model is tested on a real-world distribution network with more than 150 end-users. The results show the effectiveness of the model in forecasting active power losses of the observed network, but also highlight the sensitivity of the model to errors, which is a good basis for the implementation of additional algorithms and variables as a means to enabling near real-time operation planning of distribution networks. © 2022 University of Split, FESB.

关键词： Forecasting

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Laboratory Testbed for Advanced Grid Applications of Interconnected Battery Energy Storage systems in Smart Grids 13

Laboratory Testbed for Advanced Grid Applications of Interco...

引用

2022 IEEE International Conference on Power systems Technology, POWERCON 2022

作者： Krpan, Matej Beus, Mateo Kuzle, Igor Pandzic, Hrvoje University of Zagreb Faculty of Electrical Engineering and Computing Department of Energy and Power Systems Zagreb Croatia

ISBN: (数字)9781665417754

ISBN: (纸本)9781665417754

This paper presents a cyber-physical laboratory testbed based on a hierarchical control structure for education, research and development in the field of interconnected battery systems, implemented in the Smart Grid Laboratory at the University of Zagreb. The modular structure of the Smart Grid Laboratory's microgrid enables both the grid-connected and the off-grid operation, as well as hardware-in-the-loop simulations. The hierarchical control architecture enables a coordinated control of battery assets at several temporal scales. In this paper we present testbed use cases for developing distributed control algorithms for voltage and frequency control, and economically optimal centralized dispatch of the battery assets, as well as some concepts for developing educational activities for students. © 2022 IEEE.

关键词： Smart power grids

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Laboratory Setup for Stability and Optimization Studies of Hybrid Microgrids 7

Laboratory Setup for Stability and Optimization Studies of H...

引用

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

作者： Beus, Mateo Herencic, Lin Pandzic, Hrvoje Rajsl, Ivan University of Zagreb Faculty of Electrical Engineering and Computing Department of Energy and Power Systems Zagreb Croatia

ISBN: (纸本)9789532901160

Utilization of microgrids is an integral part of the efforts for increased resiliency and deep integration of renewable energy sources in the power systems, as they allow maximization of the use of locally available resources and operational harmonization of internally interconnected parts of the power systems - either in grid-connected or island mode. Development of laboratory setups for studying different aspects of microgrids has been recognized as a valuable tool for preparation of the real-life implementation. In this paper we present a developed AC/DC laboratory setup that incorporates solar photovoltaic systems, battery energy storage, an electric vehicle charger, a small hydro power plant, electronically controllable loads, as well as resistors and inductors that replicate the topology of the CIGRE low-voltage distribution network. Harmonized operation of the elements of the microgrid is ensured by the implemented supervisory control and data acquisition (SCADA) system. To demonstrate wide potential of the developed setup, we present the results of several experiments in this paper. © 2022 University of Split, FESB.

关键词： Solar energy

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Integration of DSO's inputs in auction-based local energy markets 23

Integration of DSO's inputs in auction-based local energy ma...

引用

23rd International Middle East Power systems Conference, MEPCON 2022

作者： Herencic, Lin Capuder, Tomislav Rajsl, Ivan University of Zagreb Faculty of Electrical Engineering and Computing Department of Energy and Power Systems Zagreb Croatia

ISBN: (纸本)9781665463638

Local energy trading (LET) in electrical distribution grid is a concept that implies energy trading between active participants on a local level. Along with it, some market operators and distribution system operators (DSOs) consider adoption of a transactive energy paradigm in distribution system management by providing dynamic price signals to prosumers located in low-voltage grid, based on the conditions in the medium and high-voltage grid. The aim is to increase distribution network reliability on market principles. This work presents a framework for participation of DSOs in LET. LET is simulated as an auction-based platform over a modified IEEE European Low Voltage Test Feeder where methods for active DSO's participation are tested and impacts on power flows and voltages researched. In the case study analysis, the implementation of LEM doubled the local solar PV production in a point where all households had solar PV s and no upstream exports were allowed. The contributions to prevention of voltage deviations were also achieved, but regular voltage management under this paradigm would require new tasks for the DSOs. © 2022 IEEE.

关键词： Electric power distribution

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Interaction between the Distribution System Operator and the Battery Storage Operator for Flexibility Procurement Services

Interaction between the Distribution System Operator and the...

引用

2022 Power System and Green Energy Conference, PSGEC 2022

作者： Badanjak, Domagoj Pandzic, Hrvoje University of Zagreb Faculty of Electrical Engineering and Computing Department of Energy and Power Systems Zagreb Croatia

ISBN: (数字)9781665499934

ISBN: (纸本)9781665499934

Fast penetration of the renewable energy sources and transition toward sustainable energy supply paradigm is currently an ongoing process. It comes with many environmental benefits, but it also creates many challenges. Distribution System Operators are forced to move on from the fit-and-forget approach and take more active role in operating distribution system to face problems such as bidirectional power flows, congestion and voltage limits violation. This article, taking into consideration that regulated entities cannot interfere with market activities, proposes interaction between distribution system operator and battery storage operator for flexibility procurement and investing in battery storage units at the most critical points in the network. Firstly, using AC OPF, most critical nodes are detected and then optimal energy and power capacity of the battery storage units are determined. Value of the flexibility service is determined by observing the profit difference from an optimal market participation strategy with and without network constraints. © 2022 IEEE.

关键词： Investments

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Identification of Window Openness in Smart Buildings by Random Forest Algorithm 5

Identification of Window Openness in Smart Buildings by Rand...

引用

5th IEEE International Conference on Smart systems and Technologies, SST 2022

作者： Jelić, Luka Kenda, Jurica Banjac, Anita Rukavina, Filip Lešić, Vinko Laboratory for Renewable Energy Systems University of Zagreb Faculty of Electrical Engineering and Computing Zagreb Croatia

ISBN: (数字)9781665482158

ISBN: (纸本)9781665482158

Controlled energy distribution and energy efficiency in buildings are among the main concerns in modern constructions, energy management and buildings usability. Total energy performance of a building depends on several factors, which include materials and components, building environment, but also the occupants behavior. User interaction with windows and window status as open or closed is the main cause of the difference between the predicted and the actual energy consumption. Understanding these user habits helps to better predict energy disruptions and enables planning for more efficient energy distribution. This paper investigates the possibility of using a machine learning model to identify the user behavior through a set of available historical data in a living-lab smart building. The random forest algorithm used in this research proved promising for the particular use case and makes a good ground for future work with window status classification accuracy of 87.85%. © 2022 IEEE.

关键词： Energy utilization

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