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    Wyświetlanie 1-11 z 11
    Tytuł:
    Balancing electric power in a microgrid via programmable agents auctions
    Autorzy:
    Pałka, P.
    Radziszewska, W.
    Nahorski, Z.
    Powiązania:
    https://bibliotekanauki.pl/articles/206683.pdf
    Data publikacji:
    2012
    Wydawca:
    Polska Akademia Nauk. Instytut Badań Systemowych PAN
    Tematy:
    multi-agent system
    microgrid management
    shortshortterm imbalance reduction
    Opis:
    The paper presents an application of an auction algorithm in a multi-agent computer system for managing the unbalanced energy in a microgrid. The main goal of the system is to control and minimize the deviations of the current energy dem and from the actual energy production, using an auction algorithm. Distributed generation is assumed in the microgrid, with renewable power sources. The energy storages and the controllable power sources improve the system operation. The differences between the actual demand and produced energy are caused by unpredictable level of electric power generation by uncontrolled sources, like wind turbines or solar panels, and/or randomness of power utilization. The system will tend to balance out these differences on-line in short time intervals (less than one minute) to follow-up varying levels of local power generation and loads.
    Źródło:
    Control and Cybernetics; 2012, 41, 4; 777-797
    0324-8569
    Pojawia się w:
    Control and Cybernetics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Smart control of energy storage system in residential photovoltaic systems for economic and technical efficiency
    Autorzy:
    Kaczorowska, Dominika
    Rezmer, Jacek
    Janik, Przemysław
    Sikorski, Tomasz
    Powiązania:
    https://bibliotekanauki.pl/articles/2202548.pdf
    Data publikacji:
    2023
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    economic efficiency
    energy storage system ESS
    microgrid management
    optimal power flow
    OPF
    particle swarm optimisation PSO
    Opis:
    In recent years, due to the increasing number of renewable energy sources, which are characterised by the stochastic nature of the generated power, interest in energy storage has increased. Commercial installations use simple deterministic methods with low economic efficiency. Hence, there is a need for intelligent algorithms that combine technical and economic aspects. Methods based on computational intelligence (CI) could be a solution. The paper presents an algorithm for optimising power flow in microgrids by using computational intelligence methods. This approach ensures technical and economic efficiency by combining multiple aspects in a single objective function with minimal numerical complexity. It is scalable to any industrial or residential microgrid system. The method uses load and generation forecasts at any time horizon and resolution and the actual specifications of the energy storage systems, ensuring that technological constraints are maintained. The paper presents selected calculation results for a typical residential microgrid supplied with a photovoltaic system. The results of the proposed algorithm are compared with the outcomes provided by a deterministic management system. The computational intelligence method allows the objective function to be adjusted to find the optimal balance of economic and technical effects. Initially, the authors tested the invented algorithm for technical effects, minimising the power exchanged with the distribution system. The application of the algorithm resulted in financial losses, €12.78 for the deterministic algorithm and €8.68 for the algorithm using computational intelligence. Thus, in the next step, a control favouring economic goals was checked using the CI algorithm. The case where charging the storage system from the grid was disabled resulted in a financial benefit of €10.02, whereas when the storage system was allowed to charge from the grid, €437.69. Despite the financial benefits, the application of the algorithm resulted in up to 1560 discharge cycles. Thus, a new unconventional case was considered in which technical and economic objectives were combined, leading to an optimum benefit of €255.17 with 560 discharge cycles per year. Further research of the algorithm will focus on the development of a fitness function coupled to the power system model.
    Źródło:
    Archives of Electrical Engineering; 2023, 72, 1; 81--102
    1427-4221
    2300-2506
    Pojawia się w:
    Archives of Electrical Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    A standalone DC microgrid energy management strategy using the battery state of charge
    Strategia zarządzania energią samodzielnej mikrosieci DC z wykorzystaniem stanu naładowania baterii
    Autorzy:
    Yusubov, Elvin
    Bekirova, Lala
    Powiązania:
    https://bibliotekanauki.pl/articles/27315444.pdf
    Data publikacji:
    2023
    Wydawca:
    Politechnika Lubelska. Wydawnictwo Politechniki Lubelskiej
    Tematy:
    DC microgrid
    energy management strategy
    battery state of charge
    photovoltaicsystems
    mikrosieć prądu stałego
    strategia zarządzania energią
    stan baterii akumulatorów
    systemy fotowoltaiczne
    Opis:
    This article introduces an enhanced energy management strategy that employsthe state of charge (SoC) of batteries in standalone DC microgrids with photovoltaic (PV) modules. Efficient energy management is crucial to ensure uninterrupted power supply to the load units inmicrogrids. To address the challenges posed by external factors such as temperature fluctuations and variations in solar irradiance, energy storage systemsare deployed to compensate for thenegative effectsof the external factorson the output power of PV modules. The proposed approach takes into account various parameters of the microgrid elements, including the available power from the sources, demand power, and the SoC of batteries, in orderto develop an efficient energy control mechanism with load-shedding capability. By considering these parameters, the strategy aims to optimizethe utilization of available resources while ensuring a reliable power supply to the connected loads. The SoC of the batteries plays a critical rolein determining optimal charging and discharging profiles, enabling effective energy management within the microgrid. To evaluate the effectivenessof the proposed approach, an algorithm is designed and simulations are conducted.The proposed algorithm utilizes a hybrid approach by combining power and SoC-based methods for efficient control.Through analysis of the simulation results, it is found that the presented approach is capableof delivering the intended load power while increasing the life cycle of the batteries with the pre-definedSoC levels.
    Niniejszy artykuł wprowadza ulepszoną strategię zarządzania energią, która wykorzystuje stan naładowania akumulatorów (SoC)w autonomicznych mikrosieciach prądu stałego z modułami fotowoltaicznymi (PV). Efektywne zarządzanie energią ma kluczowe znaczeniedla zapewnienia nieprzerwanego zasilania jednostek odbiorczych w mikrosieciach. Aby sprostać wyzwaniom związanym z czynnikamizewnętrznymi, takimi jak wahania temperatury i zmiany natężenia promieniowania słonecznego, systemy magazynowania energii są wdrażane w celu skompensowania negatywnego wpływu czynników zewnętrznych na moc wyjściową modułów fotowoltaicznych. Proponowane podejście uwzględnia różne parametry elementów mikrosieci, w tym dostępną moc ze źródeł, moc zapotrzebowania i SoC akumulatorów, w celu opracowania wydajnego mechanizmu kontroli energii z możliwością zrzucania obciążenia. Biorąc pod uwagę te parametry, strategia ma na celu optymalizację wykorzystania dostępnych zasobówprzy jednoczesnym zapewnieniu niezawodnego zasilania podłączonych obciążeń. SoC akumulatorów odgrywa kluczową rolę w określaniu optymalnych profili ładowania i rozładowywania, umożliwiając efektywne zarządzanie energią wmikrosieci. Aby ocenić skuteczność proponowanego podejścia, zaprojektowano algorytm i przeprowadzono symulacje. Proponowany algorytm wykorzystuje podejście hybrydowe, łącząc metody oparte na mocy i SoCw celu zapewnienia wydajnej kontroli. Poprzez analizęwyników symulacji stwierdzono, że prezentowane podejście jest w stanie dostarczyć zamierzoną moc obciążenia, jednocześnie zwiększając cykl życia akumulatorów przy wstępnie zdefiniowanych poziomach SoC.
    Źródło:
    Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska; 2023, 13, 3; 75--78
    2083-0157
    2391-6761
    Pojawia się w:
    Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Intelligent energy management system of a smart microgrid using multiagent systems
    Autorzy:
    Azeroual, Mohamed
    Lamhamdi, Tijani
    El Moussaoui, Hassan
    El Markhi, Hassane
    Powiązania:
    https://bibliotekanauki.pl/articles/140667.pdf
    Data publikacji:
    2020
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    artificial intelligence
    fault detection
    microgrid
    multi-agent system (MAS)
    power distribution
    smart grid
    Opis:
    The smart grid concept is predicated upon the pervasive use of advanced digital communication, information techniques, and artificial intelligence for the current power system, to be more characteristics of the real-time monitoring and controlling of the supply/demand. Microgrids are modern types of power systems used for distributed energy resource (DER) integration. However, the microgrid energy management, the control, and protection of microgrid components (energy sources, loads, and local storage units) is an important challenge. In this paper, the distributed energy management algorithm and control strategy of a smart microgrid is proposed using an intelligent multi-agent system (MAS) approach to achieve multiple objectives in real-time. The MAS proposed is developed with co-simulation tools, which the microgrid model, simulated using MATLAB/Simulink, and the MAS algorithm implemented in JADE through a middleware MACSimJX. The main study is to develop a new approach, able to communicate a multi-task environment such as MAS inside the S-function block of Simulink, to achieve the optimal energy management objectives.
    Źródło:
    Archives of Electrical Engineering; 2020, 69, 1; 23-38
    1427-4221
    2300-2506
    Pojawia się w:
    Archives of Electrical Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Intelligent multi-agent system for DC microgrid energy coordination control
    Autorzy:
    Qaderi-Baban, P.
    Menhaj, M. B.
    Dosaranian-Moghadam, M.
    Fakharian, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/200811.pdf
    Data publikacji:
    2019
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    multi-agent system
    DC microgrid
    energy management
    coordinated control
    voltage control
    Opis:
    In this paper, an energy coordination control method based on intelligent multi-agent systems (MAS) is proposed for energy management and voltage control of a DC microgrid. The structure of the DC microgrid is designed to realize the mathematical modeling of photovoltaic cells, fuel cells and batteries. A two-layer intelligent MAS is designed for energy coordination control: grid-connection and islanding of a DC microgrid is combined with energy management of PV cells, fuel cells, loads and batteries. In the hidden layer and the output layer of the pro-posed neural network there are 17 and 8 neurons, respectively, and the “logsig” activation function is used for the neurons in the network. Eight kinds of feature quantities and 13 different actions are taken as the input and output parameters of the neural network from the micro-source and the load, and the as the control center agent’s decision-makers. The feasibility of the proposed intelligent multi-agent energy coordination control strategy is verified by MATLAB/Simulink simulation, and three types of examples are analyzed after increasing the load. The simulation results show that the proposed scheme exhibits better performance than the traditional approaches.
    Źródło:
    Bulletin of the Polish Academy of Sciences. Technical Sciences; 2019, 67, 4; 741-748
    0239-7528
    Pojawia się w:
    Bulletin of the Polish Academy of Sciences. Technical Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Short-term optimal energy management in stand-alone microgrid with battery energy storage
    Autorzy:
    Paliwal, N. K.
    Singh, A. K.
    Singh, N. K.
    Powiązania:
    https://bibliotekanauki.pl/articles/140998.pdf
    Data publikacji:
    2018
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    artificial bee colony
    battery energy storage
    clean energy sources
    optimal energy management
    stand-alone microgrid
    Opis:
    The optimal energy management (OEM) in a stand-alone microgrid (SMG) is a challenging job because of uncertain and intermittent behavior of clean energy sources (CESs) such as a photovoltaic (PV), wind turbine (WT). This paper presents the effective role of battery energy storage (BES) in optimal scheduling of generation sources to fulfill the load demand in an SMG under the intermittency of theWT and PV power. The OEM is performed by minimizing the operational cost of the SMG for the chosen moderate weather profile using an artificial bee colony algorithm (ABC) in four different cases, i.e. without the BES and with the BES having a various level of initial capacity. The results show the efficient role of the BES in keeping the reliability of the SMG with the reduction in carbon-emissions and uncertainty of the CES power. Also, prove that the ABC provides better cost values compared to particle swarm optimization (PSO) and a genetic algorithm (GA). Further, the robustness of system reliability using the BES is tested for the mean data of the considered weather profile.
    Źródło:
    Archives of Electrical Engineering; 2018, 67, 3; 499--513
    1427-4221
    2300-2506
    Pojawia się w:
    Archives of Electrical Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    A new power management strategy for PV-FC-based autonomous DC microgrid
    Autorzy:
    Bhat Nempu, P.
    Sabhahit Jayalakshmi, N.
    Powiązania:
    https://bibliotekanauki.pl/articles/140476.pdf
    Data publikacji:
    2018
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    DC microgrid
    electrolyzer
    fuzzy logic controller
    PEM fuel cell
    PV Array
    supercapacitor bank
    Opis:
    Solar energy is widely available in nature and electricity can be easily extracted using solar PV cells. A fuel cell being reliable and environment friendly becomes a good choice for the backup so as to compensate for continuously varying solar irradiation. This paper presents simple control schemes for power management of the DC microgrid consisting of PV modules and fuel cell as energy sources and a hydrogen electrolyzer system for storing the excess power generated. The supercapacitor bank is used as a short term energy storage device for providing the energy buffer whenever sudden fluctuations occur in the input power and the load demand. A new power control strategy is developed for a hydrogen storage system. The performance of the system is assessed with and without the supercapacitor bank and the results are compared. A comparative study of the voltage regulation of the microgrid is presented with the controller of the supercapacitor bank, realized using a traditional PI controller and an intelligent fuzzy logic controller.
    Źródło:
    Archives of Electrical Engineering; 2018, 67, 4; 815-828
    1427-4221
    2300-2506
    Pojawia się w:
    Archives of Electrical Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Management in developing power system
    Zarządzanie w rozwijającym się systemie elektroenergetycznym
    Autorzy:
    Zieliński, J. S.
    Powiązania:
    https://bibliotekanauki.pl/articles/324963.pdf
    Data publikacji:
    2016
    Wydawca:
    Politechnika Śląska. Wydawnictwo Politechniki Śląskiej
    Tematy:
    management information system
    renewable energy source
    Smart Grid
    microgrid
    informatyczny system zarządzania
    odnawialne źródła energii
    sieci inteligentne
    mikrosieci
    Opis:
    Development of power system influence on management information system is the main aim of the article. Starting from the general review of hierarchical information system in power, changes in its (and in management information) systems implied by injection of renewable energy sources are discussed.
    Celem artykułu jest przedstawienie wpływu rozwijającego się systemu elektroenergetycznego na system informatyczny zarządzania. Przedstawiono ogólne informacje o hierarchicznym systemie informacyjnym zarządzania i omówiono zmiany w systemie informatycznym zarządzania wywołane wprowadzeniem odnawialnych źródeł energii.
    Źródło:
    Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska; 2016, 97; 343-349
    1641-3466
    Pojawia się w:
    Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Microgrid-based cryogenic energy storage as a part of Intelligent Energy Infrastructure Management (IEIM)
    Autorzy:
    Głowacki, B.A.
    Tomov, R.
    Woźniak, M.
    Patel, A.
    Pałka, R.
    Powiązania:
    https://bibliotekanauki.pl/articles/1372731.pdf
    Data publikacji:
    2011
    Wydawca:
    Sieć Badawcza Łukasiewicz - Instytut Napędów i Maszyn Elektrycznych Komel
    Tematy:
    maszyna elektryczna
    energia odnawialna
    zarządzanie energią
    electric machine
    renewable energy
    energy management
    Opis:
    Integration of advanced electrical machines with electrical power systems and renewable energy is at the heart of the dedicated Liquid Hydrogen Laboratory (LHL) at the University of Cambridge. Generation, storage and use of the hydrogen in conjunction with a patented dynamic energy storage system are an integral part of the proposed combined heat and power (CHP) IEIM Project. The aim of the project is to address intelligent energy infrastructure management IEIM of a smart micro grid, which combines hydrogen and electricity. To build a powerful relational database for the entire physical infrastructure based on combined heat and power elements, a sub-system needs to be established to monitor the status of interconnectivity to the grid. This information will be mapped onto the database to provide a real-time view of the energy network's physical interconnectivity with the grid, significantly reducing the environmental impact of the total electricity supply system. Considering the nature of the heat and power elements fibre optic based sensing techniques will remotely monitor the patching fields and provide an accurate map of the connectivity and constantly monitor changes in real-time.
    Źródło:
    Maszyny Elektryczne: zeszyty problemowe; 2011, 4, 92; 13-16
    0239-3646
    2084-5618
    Pojawia się w:
    Maszyny Elektryczne: zeszyty problemowe
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Transforming distribution system into a sustainable isolatedmicrogrid considering contingency
    Autorzy:
    Hari Kumar, R.
    Mayadevi, N.
    Mini, V. P.
    Ushakumari, S.
    Powiązania:
    https://bibliotekanauki.pl/articles/202424.pdf
    Data publikacji:
    2019
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    isolated microgrid
    distributed generation
    reliability
    sustainability
    prioritized load management
    reconfiguration
    Opis:
    Currently, the distribution system has been adapted to include a variety of Distributed Energy Resources (DERs). Maximum benefits can be extracted from the distribution system with high penetration of DERs by transforming it into a sustainable, isolated microgrid. The key aspects to be addressed for this transformation are the determination of the slack bus and assurance of reliable supply to the prioritized loads even during contingency. This paper explores the possibilities of transforming the existing distribution system into a sustainable isolated net-work by determining the slack bus and the optimal locations and capacity of Distributed Generators (DGs) in the isolated network, taking into account the contingencies due to faults in the network. A combined sensitivity index is formulated to determine the most sensitive buses for DG placement. Further, the reliability based on the loss of load in the isolated system when a fault occurs is evaluated, and the modifications required in for reliability improvement are discussed. The supremacy of the transformed isolated network with distributed generators is comprehended by comparing the results from conventional IEEE 33-bus grid connected test system and modified IEEE 33-bus isolated test system having no interconnection with the main grid.
    Źródło:
    Bulletin of the Polish Academy of Sciences. Technical Sciences; 2019, 67, 5; 871-881
    0239-7528
    Pojawia się w:
    Bulletin of the Polish Academy of Sciences. Technical Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    An efficient microgrid model based on Markov fuzzy demand-side management
    Autorzy:
    Jabash Samuel, G. K.
    Sivagama Sundari, M. S.
    Bhavani, R.
    Jasmine Gnanamalar, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/27311444.pdf
    Data publikacji:
    2023
    Wydawca:
    Polska Akademia Nauk. Czasopisma i Monografie PAN
    Tematy:
    smart grid
    fuzzy Markov decision process
    power scheduling
    operating cost
    nonlinear model predictive control
    inteligentna sieć
    planowanie mocy
    koszt operacyjny
    proces decyzyjny Markowa rozmyty
    regulator predykcyjny nieliniowego modelu
    Opis:
    Today’s electricity management mainly focuses on smart grid implementation for better power utilization. Supply-demand balancing, and high operating costs are still considered the most challenging factors in the smart grid. To overcome this drawback, a Markov fuzzy real-time demand-side manager (MARKOV FRDSM) is proposed to reduce the operating cost of the smart grid system and maintain a supply-demand balance in an uncertain environment. In addition, a non-linear model predictive controller (NMPC) is designed to give a global solution to the non-linear optimization problem with real-time requirements based on the uncertainties over the forecasted load demands and current load status. The proposed MARKOV FRDSM provides a faster scale power allocation concerning fuzzy optimization and deals with uncertainties and imprecision. The implemented results show the proposed MARKOV FRDSM model reduces the cost of operation of the microgrid by 1.95%, 1.16%, and 1.09% than the existing method such as differential evolution and real coded genetic algorithm and maintains the supply-demand balance in the microgrid.
    Źródło:
    Bulletin of the Polish Academy of Sciences. Technical Sciences; 2023, 71, 3; art. no. e145569
    0239-7528
    Pojawia się w:
    Bulletin of the Polish Academy of Sciences. Technical Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-11 z 11

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