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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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Analysis of Loss and Thermal Performance of High Speed PMSM for Automotive Application 14

Analysis of Loss and Thermal Performance of High Speed PMSM ...

引用

14th International Conference ELEKTRO, ELEKTRO 2022

作者： Kovacik, Michal Rafajdus, Pavol Stano, Michal University of Zilina Faculty of Electrical Engineering Department of Power Systems and Electric Drives Zilina Slovakia

ISBN: (纸本)9781665467261

This paper presents the loss and thermal analysis of a high speed PMSM design, which is planned for 8 kW, 100 000 rpm electrically assisted turbocharger. Utilizing the Ansys MOTOR-CAD software, FEA-simulation approach is provided. At first, flux density saturation and losses are evaluated for operating speed range. Based on loss model, thermal analysis of the machine is provided, considering additional fluid cooling. The results are given in form of thermal model evaluation and temperature maps of the machine. Cooling requirements are discussed according to the simulation results. © 2022 IEEE.

关键词： Thermoanalysis

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

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

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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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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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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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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...

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

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

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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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Incorporating Settling Time Constraints of Energy Storage systems in Frequency Containment Control Optimization Problems 7

Incorporating Settling Time Constraints of Energy Storage Sy...

引用

7th IEEE International Energy Conference, ENERGYCON 2022

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

ISBN: (纸本)9781665479820

Response of energy storage units and power plants to a set-point change is not necessarily linear with a constant ramp rate, especially for frequency containment services Which are actuated on a leq 30s time scale. This is because real systems have time lag in their dynamic behavior Which will cause the output to behave nonlinearly before settling down. This paper shows how to implement this behavior into the linear programming optimization framework using settling time constants of a common energy storage system and power plants. Simulation results show that if linear programming is used to model the units participating in the frequency containment services, neglecting the settling time constraints can lead to decisions Which may not be grid-compliant in practice. © 2022 IEEE.

关键词： Energy storage

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Extracting an Experimental Formulation for power Loss Prediction in a Laboratory-Scale Grid-Forming Converter

Extracting an Experimental Formulation for Power Loss Predic...

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International Conference on Renewable Energy Research and Applications (ICRERA)

作者： Kazem Pourhossein Edgar Diego Gomez Anccas Detlef Schulz Electrical Power Systems Faculty of Electrical Engineering Helmut Schmidt University Hamburg Germany

ISBN: (数字)9798350375589

ISBN: (纸本)9798350375596

The present paper introduces an experimental modeling approach for predicting power losses in grid-forming inverters. The proposed model reduces the need for measurement equipment, making it a practical solution for real-world applications of grid-forming inverters. The extracted model provides power loss predictions that can be utilized for optimizing system performance and operation. Additionally, the proposed model can detect unusual power losses, serving as an early warning system for potential faults or inefficiencies within the inverter. The effectiveness of this model has been validated through data collected from a laboratory-scale grid-forming inverter, demonstrating its performance in various operational scenarios. By simplifying the process of power loss estimation, this model offers a tool for optimization and energy management in microgrids containing grid-forming inverters.

关键词： Renewable energy sources power measurement System performance Microgrids Predictive models Loss measurement Mathematical models Real-time systems Reliability Grid forming

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