Conference Papers

Permanent URI for this collectionhttps://idr.nitk.ac.in/handle/123456789/28506

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    Transient behavioural modelling of Battery Energy Storage System supporting Microgrid
    (Institute of Electrical and Electronics Engineers Inc., 2020) Joshua, A.M.; Vittal, K.P.
    Energy storage is a vital component for a resilient microgrid. The high investment cost associated with storage is the major deterrent for its integration in a microgrid. But with the advent of Electric Vehicles and Smart Grids, battery technology and its mass production have got a huge thrust. Cost of the battery is anticipated to come down in future and battery storage customary in microgrids. Though storage will solve all problems related to power mismatches between generation and loads, it brings some additional challenges. Due to the bidirectional power flows, control and protection become complicated. For an effective microgrid protection design, there is a need to study the transient behaviour of its components. In this paper, a microgrid model with a centralised Battery Energy Storage System (BESS) is built. The control strategies automatically switch between grid connected and standalone modes of operation. The model is verified using PSCAD simulations for various operating scenarios. This paper emphasises the role of BESS in a microgrid and investigates the transient behaviour of Distributed Generators (DGs) under various faults in grid connected and islanded operation modes. © 2020 IEEE.
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    Matching Theory for Optimal Power Exchange in Distribution Networks
    (Institute of Electrical and Electronics Engineers Inc., 2021) Biji Varghese, K.V.; Gaonkar, D.N.
    Micro-grid distribution systems which use distributed energy sources are believed to be the heart of smart grid technology. while recent researches focus on communication and control aspects of microgrids this paper investigates power exchange efficiency. Distributed generations are the most efficient practice to minimize power losses. This paper presents an application of Gale-Shapely matching theory in distribution networks consist of a number of microgrids and the main grid. The proposed theory groups the agents (microgrids and main grid) into sellers with surplus energy and buyers with insufficient energy. The matching strategy matches the sellers and buyers inside the network. This optimal selection of participants makes the reduction in power losses during power exchange in the system. This novel theory enables the microgrids in the distributed networks to self adapt to changes in the surroundings such as changes in the power needs of the microgrids. Simulation results are compared with the conventional method to check. Simulation results show the proposed theory yields a considerable reduction in power losses in the distributed networks. © 2021 IEEE.
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    Autonomous Microgrid Using New Perspective on Droop Control in AC Microgrid
    (Springer Science and Business Media Deutschland GmbH, 2024) Siddaraj, U.; Yaragatti, U.R.; Nagendrappa, H.
    Providing higher quality power to consumers through the existent microgrid is now a problem for the renewable energy source. Designing a droop controller for the microgrid is a necessity to construct a dependable and effective microgrid. In this paper, a P–F/Q–V droop method is used to connect several VSIs in parallel. Their parallels and differences are amply discussed in this study. A frequency droop control method and a virtual impedance approach are combined in the suggested method, which is coupled to two distributed generation (DG) local controllers and has each unit having a droop control and a voltage-current controller. An islanded system's load flexibility and microgrid reliability can both be enhanced by adding this controller. The microgrid was subjected to this idea without any real-time communication. Simulink/MATLAB was used to simulate this. The results obtained show that the microgrid (MG) model is effective in autonomous operation. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2024.
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    Adaptive Protection of Solar PV Microgrid Without ESS
    (Springer Science and Business Media Deutschland GmbH, 2024) Meitei, L.P.; Vittal, K.P.; Pinto, J.A.
    Conventional sources play a major role in today’s power scenario. However, the trend has now been shifted toward non-conventional sources, viz., Solar, wind, tidal, etc. considering the depletion rate of fossil fuels, transmission losses and environmental impacts. As a result, Microgrids are getting popular nowadays due to its high reliability, nature of operation, and low operational cost. In this paper, an adaptive protection scheme is developed in MATLAB for a solar PV Microgrid without Energy Storage Systems (ESS) which can operate in both Grid connected mode (GCM) and Islanded Mode (IM). © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2024.