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Adaptive algorithm for controlling the power management system on offshore jack-up drilling rigs

Energy Sources, Part A: Recovery, Utilization and Environmental Effects 2024年第1期46卷 16717-16737页

作者： Cemeljic, Hrvoje Havelka, Juraj Jeremic, Aleksandar Kuzle, Igor Department of Energy and Power Systems Faculty of Electrical Engineering and Computing University of Zagreb Zagreb Croatia Department of Electrical & Computer Engineering McMaster School of Biomedical Engineering McMaster University HamiltonON Canada Faculty of Electrical Engineering and Computing University of Zagreb Zagreb Croatia

The power systems of offshore jack-up drilling rigs consist of diesel generators running in parallel load-sharing mode, controlled by an automatic power Management System (PMS). In this paper, the operational performance of the diesel generators (DG) and the PMS on a jack-up drilling rig is investigated, focusing on two critical offshore drilling operations: "pipe tripping" and "pulling/pumping out of the hole" (POOH). During these operations, large power swings occur in the system, subjecting the DGs to sudden load surges. These severe imbalances in the system cause the PMS to intermittently start and stop the engines throughout the operation, leading to various problematic conditions in the power plant. The paper provides a novel solution for intermittent starting and stopping of the DGs in the form of development and implementation of an adaptive PMS algorithm, a mathematical model of the system and a machine learning approach to event prediction of PMS operation in offshore drilling. Research demonstrates a noteworthy decrease in intermittent DG starting and stopping when the adaptive algorithm is implemented, with a 96% reduction during pipe tripping and an 87% reduction during POOH. This improvement comes at the expense of an 11% increase in engine running hours and a 1.5% rise in fuel consumption. Furthermore, by configuring the adaptive algorithm to economy mode, savings of up to 1700 liters of fuel per month are achievable. © 2024 Taylor & Francis Group, LLC.

关键词： Adaptive algorithms

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PV CONTAINER FOR GREEN ENERGY PRODUCTION

UPB Scientific Bulletin, Series C: Electrical Engineering an...

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UPB Scientific Bulletin, Series C: electrical engineering and Computer Science 2024年第2期86卷 369-382页

作者： Fiorentis, Efstathios Vîlciu, Irina Ghiță, Octavian Mihai Lipan, Laurentiu Enache, Bogdan-Adrian Department of Measurements Electrical Devices and Static Converters Faculty of Electrical Engineering UNST POLITEHNICA Bucharest Romania Department of Electromagnetic Systems Faculty of Power Systems Engineering UNST POLITEHNICA of Bucharest Romania

Recently, more mobile energy storage models have been designed and used. Among them, the containerised ones, thanks to their standard dimensions, offer a variant that can be easily transported and installed where needed. This paper presents the design and optimisation of a containerised energy storage system prototype, with LiFePO4 Li-ion batteries, with a capacity of 40[kWp], realised within the project, "green" mobile services for energy systems in the smart city-SMARTELTER". The projected plan is designed to ensure the necessary energy to charge the batteries using a system of 75 photovoltaic panels with manual deployment. Regarding the choice of the container, a standard six-meter container is used. Before making the final system, to study and optimise the behaviour of the design, a 1:10 scale prototype was created using 3D printing techniques, and to optimise the operation of the electrical installation, the entire energy conversion chain from the photovoltaic panel system up to the batteries system was simulated using the Matlab simulation environment and its extension, Simulink. After the tests, we can observe the efficiency of the designed method, maintaining the delivered parameters at optimal values for the entire conversion process and finally charging the batteries. © 2024, Politechnica University of Bucharest. All rights reserved.

关键词： Lithium-ion batteries

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Grid-Forming PV System for Frequency Ancillary Services Provision 3

Grid-Forming PV System for Frequency Ancillary Services Prov...

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3rd International Conference on Energy Transition in the Mediterranean Area, SyNERGY MED 2024

作者： Barac, Bojana Capuder, Tomislav Panteli, Mathaios University of Zagreb Faculty of Electrical Engineering and Computing Department of Energy and Power Systems Croatia University of Cyprus Department of Electrical and Computer Engineering Cyprus

ISBN: (纸本)9798350375923

With the increasing penetration of photovoltaic (PV) systems posing challenges to power system stability, this paper investigates the effectiveness of grid-forming controlled PV systems in providing frequency ancillary services. The study implements the Virtual Synchronous Machine strategy, utilizing DC-link capacitor energy for inertial response provision (DCVQVSM), integrated within a grid-forming topology. To ensure power-frequency droop control, an additional control loop is introduced within the DCVQ-VSM topology. The efficacy of this control system is proved through simulations conducted on a simple two-bus system and a fully-electrified active distribution network (ADN). Both case studies demonstrate the successful operation of grid-forming controlled PV systems, highlighting their capability to influence power system frequency dynamics. The analysis underscores the significance of deloading PV operation in facilitating flexibility services provision, thereby enhancing the reliability and resilience of system operation. © 2024 IEEE.

关键词： Synchronous machinery

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Islanding Detection In Bulk power systems: A Data-Driven Approach

Islanding Detection In Bulk Power Systems: A Data-Driven App...

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2024 IEEE PES Innovative Smart Grid Technologies Europe Conference, ISGT EUROPE 2024

作者： Golpîra, Hêmin Kuzle, Igor University of Kurdistan Power Systems Modeling & Simulation Lab. Department of Electrical Engineering Sanandaj Iran University of Zagreb Faculty of Electrical Engineering and Computing Department of Energy and Power Systems Zagreb Croatia

ISBN: (纸本)9789531842976

An attempt is made to propose a data-driven approach for detecting islanding in large-scale power systems. The method utilizes data collected by phasor measurement units (PMUs) to develop an equivalent model of the system. In this model, the system is represented by multiple centers of inertia (COIs) linked to a central point known as the center of gravity (COG) through fictitious reactances. These reactances, which are interpreted as the electrical distances between the local COIs and the COG, serve as a valuable indicator for detecting islanding. The occurrence of islanding can be identified by comparing the temporal trends of electrical distance variations across different areas. The effectiveness of the proposed methodologies is evaluated using simulated data from the 73-bus IEEE test system. © 2024 IEEE.

关键词： Phasor measurement units

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power transmission network planning under uncertainties

Power transmission network planning under uncertainties

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2024 IEEE PES Innovative Smart Grid Technologies Europe Conference, ISGT EUROPE 2024

作者： Vukadinović, Neven Pavić, Ivica Holjevac, Ninoslav Zagreb Croatia University of Zagreb Faculty of Electrical Engineering and Computing Department of Energy and Power Systems Zagreb Croatia

ISBN: (纸本)9789531842976

The optimization of load flow analysis is crucial for the efficient observation of the impact of new power plants into existing electricity power systems (EPS). The advent of integration of new energy sources has reduced construction timeline requirements to 4-5 years, creating a lag in the development of supporting electricity infrastructure. This paper explores the spatial and temporal dimensions of EPS development planning, illustrated through the example of two new connection requests to a transmission network, with emphasis on importance of load flow optimization and the potential failure analysis to meet the (N-1) contingency criterion, which ensures system reliability during outages. This paper underscores the necessity of strategic planning in EPS development to accommodate new generation units while maintaining system stability and reliability at the satisfactory levels. © 2024 IEEE.

关键词： Load flow optimization

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Bridging the gap between theory and practice in local energy sharing - Energy communities in Croatia

Bridging the gap between theory and practice in local energy...

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2024 IEEE PES Innovative Smart Grid Technologies Europe Conference, ISGT EUROPE 2024

作者： Antić, Mirna Gržanić Capuder, Tomislav Medved, Tomi Faculty of Electrical Engineering and Computing University of Zagreb Department of Energy and Power Systems Croatia Faculty of Electrical Engineering University of Ljubljana Laboratory of Energy Policy Slovenia

ISBN: (纸本)9789531842976

The European directives focus on unlocking the potential of final customers in the clean energy transition. With the recent trend of rising electricity and petrol prices, coupled with reduced investment costs in low-carbon technologies, the installation of photovoltaic solar panels for end customers has become more profitable compared to previous years, leading to a shorter payback period. Additionally, to enhance citizen engagement in the integration of renewable energy sources, various forms of local energy-sharing models are discussed in the literature. This paper elaborates on the regulatory framework and policies at the European level concerning renewable energy communities, citizen energy communities, and collective self-consumption, with a particular focus on Croatia's perspective. It highlights the steps needed to accelerate the realization of energy communities in practice. Under current Croatian regulations, the profit from selling surplus community energy to the supplier cannot be directly remunerated to community members. The results indicate that community members could achieve 20% lower electricity costs annually if the surplus energy were directly remunerated. To avoid losing potential profits from excess energy, the paper models an investment in a community-owned battery storage system, aiming to increase community self-consumption and minimize the amount of energy sold to suppliers. It is shown that with a static sharing scheme, individual community members' costs can decrease by 11% to 16%, and by up to 20% with a dynamic scheme compared to cases where profit from excess energy cannot be directly remunerated to community members. © 2024 IEEE.

关键词： Clean energy

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Aggregated Model of a Flexible Multi-Energy Distribution System for Coordinated TSO-DSO Fast Frequency Services Provision

Aggregated Model of a Flexible Multi-Energy Distribution Sys...

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

作者： Barac, Bojana Krpan, Matej Capuder, Tomislav University of Zagreb Faculty of Electrical Engineering and Computing Department of Energy and Power Systems Zagreb Croatia

ISBN: (纸本)9798350397901

The massive penetration of distributed energy resources (DER) encourages the provision of frequency regulation services at the distribution network level following large frequency disturbances occurring at the transmission system side. The availability of reduced-order or aggregated models will facilitate the coordination between transmission and distribution system operators. As there are no models that can capture the dynamics of diverse distributed technologies and their control systems by a unified single device model, this paper presents the single equivalent device based on the virtual synchronous machine (VSM) technology that can subsume the frequency response of different DER and loads. The validation of the proposed model is performed on the adjusted IEEE 9-bus system for different multi-energy systems. Simulated scenarios have demonstrated the accuracy of proposed aggregation with a maximum relative error of 0.1% as well as computational improvement of almost 100%. © 2023 IEEE.

关键词： Electric power distribution

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Incorporating a High-speed Camera in the Lightning Current Measurement System for Wind Turbines 4

Incorporating a High-speed Camera in the Lightning Current M...

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4th International Conference on Smart Grid Metrology, SMAGRIMET 2023

作者： Vukovic, Franjo Milardic, Viktor Filipovic-Grcic, Bozidar Stipetic, Nina Franc, Bojan Milos, Dominik University of Zagreb Faculty of Electrical Engineering and Computing Department of Energy and Power Systems Zagreb Croatia

ISBN: (纸本)9798350323597

A lightning current measurement system for wind turbines was developed and tested in the High Voltage Laboratory at the faculty of electrical engineering and computing, University of Zagreb, to determine actual distributions of lightning current parameters in a particular wind turbine area. The output of the measurement system is a waveform of lightning current. The measurement system consists of two current sensors with different frequency and amplitude ranges and a real-Time controller with two digitizers and a GPS module. The current sensors are Rogowski coils connected to integrators with coaxial cables. The prototype was installed on a wind turbine in a high winter lightning activity area. The current stage of development involves integrating the high-speed camera into the prototype measurement system to obtain the visual confirmation of the waveform measurements and help categorize lightning strikes into downward or upward strikes. The camera control application was developed in LabVIEW. The camera was set to trigger by the real-Time controller. Also, a redundant trigger occurs when there is a change in motion in the camera frame in case the prototype measurement system fails to register a lightning strike and therefore fails to send a trigger signal to the camera. The camera control application was tested in the High Voltage Laboratory by recording a flashover in a spark gap and a flashover on the insulator. © 2023 IEEE.

关键词： High speed cameras

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Line Parameter and Switching State Identification Method for Radial and Meshed Distribution Networks

Line Parameter and Switching State Identification Method for...

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

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)9798350397901

Current major changes in distribution systems require better monitoring from energy utilities to prevent possible issues in the form of deterioration of power quality and stability, voltage oscillations, and many others. However, distribution networks are still characterized by their limited observability, where information such as switching state and line parameters are not known. This constraint further complicates analyses concerning the observations of distribution networks. Therefore, this paper proposes a methodology that, as an answer to these problems, offers machine learning-based algorithms that aim to determine the switching state and line parameters of distribution networks using only collected historical Advanced Metering Infrastructure (AMI) measurements. This model was tested on the radial IEEE 33-bus benchmark system and both meshed and radial real-world distribution networks. The results demonstrate that the proposed method can provide an accurate estimation of line parameters and network topology relying only on voltage magnitudes and active and reactive power measurements. © 2023 IEEE.

关键词： power quality

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OPTIMIZATION AND PERFORMANCE OF BIFACIAL PV SYSTEM COMPARED TO MONOFACIAL 14

OPTIMIZATION AND PERFORMANCE OF BIFACIAL PV SYSTEM COMPARED ...

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14th Mediterranean Conference on power Generation Transmission, Distribution and Energy Conversion, MEDpower 2024

作者： Hida, Andi Rrotani, Viktor Bualoti, Rajmonda Shaliu, Donard Kamberi, Klajdi Department of Electrical Power Systems Faculty of Electrical Engineering Polytechnic University of Tirana Albania

ISBN: (纸本)9781837242689

This study presents a comparative analysis of a bifacial photovoltaic (BFPV) system with a monofacial (MFPV) one, installed on the rooftop of the Polytechnic University of Tirana, Albania (choosing the same size of 168 kWp). The row spacing is 1.9m, the PV height is 0.3m, and the orientation is to the south (1680). The simulations show that the BFPV system performs better every month, increasing the annual PV Energy by 8.3%. Furthermore, to find the optimal design, the impact of tilt angle, elevation, and albedo on the Specific Annual Yield of the BFPV system is studied. Keeping the orientation and the row spacing unchanged, it turns out that the optimal tilt angle is 250 (against 280 in the MFPV system), the optimal height is 0.3 m, and the optimal albedo value is 0.9 (white surface). Comparing it with the optimized MFPV system, this configuration would give a gain of 15.7%. However, for albedo values up to 0.35, the optimal tilt angle for BFPV is 200. On the other hand, using a regression analysis (considering R2 and P-value) through the obtained results, Specific Annual Yield and Bifacial Gain (BG) are expressed as a third-order polynomial equation depending on the above parameters. © The Institution of engineering & Technology 2024.

关键词： Regression analysis

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