The Experts below are selected from a list of 360 Experts worldwide ranked by ideXlab platform

E H Watanabe - One of the best experts on this subject based on the ideXlab platform.

  • improved superconducting magnetic energy storage smes controller for high Power Utility applications
    IEEE Transactions on Energy Conversion, 2011
    Co-Authors: Marcelo G Molina, Pedro Enrique Mercado, E H Watanabe
    Abstract:

    Superconducting magnetic energy storage (SMES) systems are getting increasing interest in applications of Power flow stabilization and control in the transmission network level. This trend is mainly supported by the rising integration of large-scale renewable energy Power plants into the high-Power Utility system and by major features of SMES units. In a SMES system, the Power conditioning system (PCS) is the crucial component for controlling the Power exchange between the superconducting coil and the ac system. The dynamics of the PCS directly influences the validity of the SMES in the dynamic control of the Power system. This paper describes a novel PCS scheme of SMES to simultaneously perform both active and reactive Power flow controls. Moreover, a detailed model of the SMES unit is derived and a three-level control scheme is designed, comprising a full decoupled current control strategy in the d-q reference frame with a novel controller to prevent PCS dc bus capacitors' voltage drift/imbalance. The dynamic performances of the proposed systems are fully validated by computer simulation.

Rocio Milla - One of the best experts on this subject based on the ideXlab platform.

  • detection of frauds and other non technical losses in a Power Utility using pearson coefficient bayesian networks and decision trees
    International Journal of Electrical Power & Energy Systems, 2012
    Co-Authors: Inigo Monedero, Feli Iscarri, Carlos Leo, Jua I Guerrero, Jesus Iscarri, Rocio Milla
    Abstract:

    For the electrical sector, minimizing non-technical losses is a very important task because it has a high impact in the company profits. Thus, this paper describes some new advances for the detection of non-technical losses in the customers of one of the most important Power utilities of Spain and Latin America: Endesa Company. The study is within the framework of the MIDAS project that is being developed at the Electronic Technology Department of the University of Seville with the funding of this company. The advances presented in this article have an objective of detecting customers with anomalous drops in their consumed energy (the most-frequent symptom of a non-technical loss in a customer) by means of a windowed analysis with the use of the Pearson coefficient. On the other hand, besides Bayesian networks, decision trees have been used for detecting other types of patterns of non-technical loss. The algorithms have been tested with real customers of the database of Endesa Company. Currently, the system is in operation.

Marcelo G Molina - One of the best experts on this subject based on the ideXlab platform.

  • improved superconducting magnetic energy storage smes controller for high Power Utility applications
    IEEE Transactions on Energy Conversion, 2011
    Co-Authors: Marcelo G Molina, Pedro Enrique Mercado, E H Watanabe
    Abstract:

    Superconducting magnetic energy storage (SMES) systems are getting increasing interest in applications of Power flow stabilization and control in the transmission network level. This trend is mainly supported by the rising integration of large-scale renewable energy Power plants into the high-Power Utility system and by major features of SMES units. In a SMES system, the Power conditioning system (PCS) is the crucial component for controlling the Power exchange between the superconducting coil and the ac system. The dynamics of the PCS directly influences the validity of the SMES in the dynamic control of the Power system. This paper describes a novel PCS scheme of SMES to simultaneously perform both active and reactive Power flow controls. Moreover, a detailed model of the SMES unit is derived and a three-level control scheme is designed, comprising a full decoupled current control strategy in the d-q reference frame with a novel controller to prevent PCS dc bus capacitors' voltage drift/imbalance. The dynamic performances of the proposed systems are fully validated by computer simulation.

Lucian Mihetpopa - One of the best experts on this subject based on the ideXlab platform.

  • minimization of load variance in Power grids investigation on optimal vehicle to grid scheduling
    Energies, 2017
    Co-Authors: Kang Miao Tan, Jia Ying Yong, Sanjeevikumar Padmanaban, Vigna K. Ramachandaramurthy, Lucian Mihetpopa
    Abstract:

    The introduction of electric vehicles into the transportation sector helps reduce global warming and carbon emissions. The interaction between electric vehicles and the Power grid has spurred the emergence of a smart grid technology, denoted as vehicle-to grid-technology. Vehicle-to-grid technology manages the energy exchange between a large fleet of electric vehicles and the Power grid to accomplish shared advantages for the vehicle owners and the Power Utility. This paper presents an optimal scheduling of vehicle-to-grid using the genetic algorithm to minimize the Power grid load variance. This is achieved by allowing electric vehicles charging (grid-to-vehicle) whenever the actual Power grid loading is lower than the target loading, while conducting electric vehicle discharging (vehicle-to-grid) whenever the actual Power grid loading is higher than the target loading. The vehicle-to-grid optimization algorithm is implemented and tested in MATLAB software (R2013a, MathWorks, Natick, MA, USA). The performance of the optimization algorithm depends heavily on the setting of the target load, Power grid load and capability of the grid-connected electric vehicles. Hence, the performance of the proposed algorithm under various target load and electric vehicles’ state of charge selections were analysed. The effectiveness of the vehicle-to-grid scheduling to implement the appropriate peak load shaving and load levelling services for the grid load variance minimization is verified under various simulation investigations. This research proposal also recommends an appropriate setting for the Power Utility in terms of the selection of the target load based on the electric vehicle historical data.

Sugandha Agnihotri - One of the best experts on this subject based on the ideXlab platform.

  • Solar Power Utility sector in india: Challenges and opportunities
    Renewable and Sustainable Energy Reviews, 2018
    Co-Authors: Pushpendra Kumar Singh Rathore, Shailendra Rathore, Rudra Pratap Singh, Sugandha Agnihotri
    Abstract:

    In the last decade the demand of Power in India has increased manifold, therefore Government has announced the National Solar Mission of generating 100GW of solar Power up to 2022. Around 60% of the total National Solar Mission target is allotted to the national/international large-scale solar Power developers/investors. Hence, it becomes important to know the ground reality of large-scale solar PV developers/investors. This paper deeply analyzes the key barriers and bottlenecks faced by solar Power developers in achieving the target and their growth. This article also suggests some motivational factors of solar energy which play an important role in attracting large solar players around the world to invest in Indian subcontinent. It concludes by highlighting some key policies of the Government that can help in addressing some identified barriers in order to ensure a secured sustainable energy future of India.