The Experts below are selected from a list of 21525 Experts worldwide ranked by ideXlab platform

Mario Hernandez - One of the best experts on this subject based on the ideXlab platform.

  • a mopso method for direct load control in smart grid
    Expert Systems With Applications, 2015
    Co-Authors: Jose Evora, Jose Juan Hernandez, Mario Hernandez
    Abstract:

    We model electricity demand of a city in a complex way including appliances and users.We propose a scalable real time method for managing the demand.We implement this method using a multi-objective criteria optimisation algorithm.A solution for managing loads is found within the time requirements.Demand can be reduced up to 20% by controlling three types of appliances. In recent years, Power grids have been evolving to decentralised production and control. Direct Load Control (DLC) methods are oriented to manage loads on the demand side. A DLC method based on Multi-Objective Particle Swarm Optimisation (MOPSO) algorithm is described. This method sets up the operation of the appliances when a Power Restriction must be accomplished. Since the method must operate in real-time, the calculations are distributed. The operation of appliances is obtained by dividing the Power Restriction among neighbourhoods and calculating multiple local optimisations. The method has been experimentally evaluated through simulations.

Jose Evora - One of the best experts on this subject based on the ideXlab platform.

  • a mopso method for direct load control in smart grid
    Expert Systems With Applications, 2015
    Co-Authors: Jose Evora, Jose Juan Hernandez, Mario Hernandez
    Abstract:

    We model electricity demand of a city in a complex way including appliances and users.We propose a scalable real time method for managing the demand.We implement this method using a multi-objective criteria optimisation algorithm.A solution for managing loads is found within the time requirements.Demand can be reduced up to 20% by controlling three types of appliances. In recent years, Power grids have been evolving to decentralised production and control. Direct Load Control (DLC) methods are oriented to manage loads on the demand side. A DLC method based on Multi-Objective Particle Swarm Optimisation (MOPSO) algorithm is described. This method sets up the operation of the appliances when a Power Restriction must be accomplished. Since the method must operate in real-time, the calculations are distributed. The operation of appliances is obtained by dividing the Power Restriction among neighbourhoods and calculating multiple local optimisations. The method has been experimentally evaluated through simulations.

Masral, Muhammad Hazim - One of the best experts on this subject based on the ideXlab platform.

  • Modelling Of Solar Irradiance For Sizing Global And Perpetual Solar-Powered Unmanned Aerial Vehicle (Uav)
    2016
    Co-Authors: Masral, Muhammad Hazim
    Abstract:

    There are various applications of small unmanned aerial vehicle for both military and civil aviation in recent years. The opportunity to enhance of solar-Powered UAV capabilities to operate as pseudolite satellite enables all countries around the world an endless possibility of their own technology. However, weight and Power Restriction are always the main cause which limits UAV to operate as pseudolite satellite. The aim of this work is to bridge the knowledge gap in the area of perpetual flight across regions around the world for a yearlong operation. Through this study, focus has been given 1) to study both local and global solar modelling and 2) how these solar data may enable the possibilities of developing a UAV design capable of global operation. In this study, for local solar modelling, 14 variant proposed models are studied with its relevant parameters using the regression technique. Then, as for global solar modelling, the theoretical approach has been used to study twelve cities spreading all over the world. The performance of each proposed solar model in estimating the solar irradiance (SI) for Malaysia is analysed based on its Root Mean Square Error (RMSE), Coefficient of Determination (R2) and Mean Bias Error (MBE). Finally, the analyses carried out to understand the feasibility of a perpetual solar-Powered UAV operated around the world have been simulated. Here, the two modes of study include 1) AUAV; the yearly average solar data simulation to design solar-Powered UAV suitable for operation at each city, and 2) GUAV; a single optimized solar-Powered UAV design that is capable for operation in all cities investigated in this work.Proposed Model (PM) 12 had been recommended as solar estimation model for Malaysia, the result showed that the RMSE for the model is 0.856%, MBE0.282% and R2 is 0.988. An optimum design specification for Global UAV (GUAV) successfully to simulate perpetual flight for whole year with specification of Maximum Take-Off Weight (MTOW) 0.5057 kg, Wingspan (S) 2.03 m and Solar Wing Area Ratio (SWAR) 40%. Based on Global SI data year 2013, we able to estimate the best diffuse factor value for Malaysia, which is 60.8% by using interpolation method. Keywords-component; global solar irradiance; meteorology station data; clouds cover; temperature; wind speed; gust speed; rain precipitate; relative humidity, pressure, regression method; UAV; pseudolite; weight; sizing configuratio

Jose Juan Hernandez - One of the best experts on this subject based on the ideXlab platform.

  • a mopso method for direct load control in smart grid
    Expert Systems With Applications, 2015
    Co-Authors: Jose Evora, Jose Juan Hernandez, Mario Hernandez
    Abstract:

    We model electricity demand of a city in a complex way including appliances and users.We propose a scalable real time method for managing the demand.We implement this method using a multi-objective criteria optimisation algorithm.A solution for managing loads is found within the time requirements.Demand can be reduced up to 20% by controlling three types of appliances. In recent years, Power grids have been evolving to decentralised production and control. Direct Load Control (DLC) methods are oriented to manage loads on the demand side. A DLC method based on Multi-Objective Particle Swarm Optimisation (MOPSO) algorithm is described. This method sets up the operation of the appliances when a Power Restriction must be accomplished. Since the method must operate in real-time, the calculations are distributed. The operation of appliances is obtained by dividing the Power Restriction among neighbourhoods and calculating multiple local optimisations. The method has been experimentally evaluated through simulations.

T. Yachi - One of the best experts on this subject based on the ideXlab platform.

  • Distributed polymer electrolyte fuel cell generation system with load Power Restriction control
    IECON'01. 27th Annual Conference of the IEEE Industrial Electronics Society (Cat. No.37243), 2026
    Co-Authors: A. Takeuchi, N. Yamashita, T. Yachi
    Abstract:

    This paper presents a distributed generation system using polymer-electrolyte fuel cells (PEFCs) that is suitable for residential use. This system can control the charging and discharging of the batteries and can restrict the Power consumed by some equipment so that the generated energy can be used more efficiently. An efficient generation scheme for meeting the demand for household Power and a stable control method for restricting the load Power are proposed and verified in an experimental system using simulated PEFCs.