Modeling Processes in Microgrids with Renewable Energy Sources

Molotov, Filipp; Vaskov, Alexey; Tyagunov, Mikhail

doi:10.1109/uralcon.2018.8544313

Cited by 19 publications

(3 citation statements)

References 9 publications

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“…Under grid connected mode of operation, the main concern regarding control is power sharing between load and source, however in islanded or stand-alone mode of operation, the power sharing as well as voltage and frequency control becomes very important, in order to achieve this proper design and calculation of the microgrid system is required. Additionally, the dynamics of the loads and the power sources must be properly considered [30,31]. In islanded mode of operation, the PV system may not always follow the maximum power point in order to balance the sources and loads.…”

Section: Modeling and Control Of Pv With Battery Systemmentioning

confidence: 99%

ANFIS-Based Droop Control of an AC Microgrid System: Considering Intake of Water Treatment Plant

et al. 2022

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Provision of an efficient water supply system (WSS) is one of the top priorities of all municipals to ascertain adequate water supply to the city. Intake is the lifeline of the water supply system and largely effects the overall plant efficiency. The required power supply is generally fed from the main grid, and a diesel generator is commonly used as a power backup source. This results in high pumping cost as well as high operational cost. Moreover, due to operation of motor pumps and other auxiliary loads, frequent maintenance is required. Therefore, to avoid various challenges and to efficiently operate the intake system, microgrid concept has been introduced in this paper. Various distributed generations (DGs) such as solar photovoltaic (PV), interior permanent magnet machine (IPM) wind turbine generator and Battery energy storage system (BESS) are incorporated in the microgrid system. Additionally, a new approach based on adaptive neuro-fuzzy inference system (ANFIS) is proposed, where P-f and Q-V droop is considered while training the ANFIS data; after successful training, the microgrid voltage and frequency are controlled as per system requirement. Simulation of the microgrid system shows good results and comparison with the generalized droop control (GDC) method is done using MATLAB/Simulink software.

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Section: Modeling and Control Of Pv With Battery Systemmentioning

confidence: 99%

ANFIS-Based Droop Control of an AC Microgrid System: Considering Intake of Water Treatment Plant

et al. 2022

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“…Given the energy crisis, the depletion of natural resources, the destruction of the environment and the growing electricity demand the production of energy from renewable sources seems to be the only feasible solution to the upcoming energy crisis [38,75,76]. However, as such a solution is not based on quantifiable natural resources, it does not provide a solid basis for planning and leads to performance uncertainty, which in turn creates many and diverse challenges [77,78].…”

Section: Renewable Energy Generationmentioning

confidence: 99%

Communication Network Standards for Smart Grid Infrastructures

Demertzis

Τσίκνας

Taketzis³

et al. 2021

Network

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Upgrading the existing energy infrastructure to a smart grid necessarily goes through the provision of integrated technological solutions that ensure the interoperability of business processes and reduce the risk of devaluation of systems already in use. Considering the heterogeneity of the current infrastructures, and in order to keep pace with the dynamics of their operating environment, we should aim to the reduction of their architectural complexity and the addition of new and more efficient technologies and procedures. Furthermore, the integrated management of the overall ecosystem requires a collaborative integration strategy which should ensure the end-to-end interconnection under specific quality standards together with the establishment of strict security policies. In this respect, every design detail can be critical to the success or failure of a costly and ambitious project, such as that of smart energy networks. This work presents and classifies the communication network standards that have been established for smart grids and should be taken into account in the process of planning and implementing new infrastructures.

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“…Given the energy crisis, the depletion of natural resources, the destruction of the environment and the growing electricity demand the production of energy from renewable sources seems to be the only feasible solution to the upcoming energy crisis [38], [74], [75]. However, as such a solution is not based on quantifiable natural resources does not provide a solid basis for planning and leads to performance uncertainty, which in turn creates many and diverse challenges [76], [77]. Smart Grids in terms of their interconnection with renewable energy sources are facing various operational issues per sector of operation such as: 1.…”

Section: Renewable Energy Generationmentioning

confidence: 99%

Communication Networks Standards for Smart Grid Infrastructures

Demertzis¹,

Τσίκνας²,

Takezis³

et al. 2021

Preprint

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The upgrade of energy infrastructure to those of smart grids, necessarily goes through the provision of integrated technological solutions that ensure the interoperability of their business capabilities and reduce the risk of devaluation of the systems used. The heterogeneity of the infrastructures and the dynamics of their operating environment, requires the continuous reduction of the complexity, the faster execution of the processes and the easy addition of innovative counterparts. Also, the integrated management of the overall ecosystem demands the provision of end-to-end interconnection, quality assurance, the definition of strict security policies, collaborative integration and correlation of events. In this respect, every design detail can be critical to the success or failure of a costly and ambitious project, such as that of smart energy networks. This work presents communication operating standards specific to the smart electricity networks applications, which should be taken into account in the process of planning and implementation of new infrastructures.

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Modeling Processes in Microgrids with Renewable Energy Sources

Cited by 19 publications

References 9 publications

ANFIS-Based Droop Control of an AC Microgrid System: Considering Intake of Water Treatment Plant

ANFIS-Based Droop Control of an AC Microgrid System: Considering Intake of Water Treatment Plant

Communication Network Standards for Smart Grid Infrastructures

Communication Networks Standards for Smart Grid Infrastructures

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