38 research outputs found

    Optimal Dispatch Strategy of Virtual Power Plant for Day-Ahead Market Framework

    Get PDF
    Renewable energy sources prevail as a clean energy source and their penetration in the power sector is increasing day by day due to the growing concern for climate action. However, the intermittent nature of the renewable energy based-power generation questions the grid security, especially when the utilized source is solar radiation or wind flow. The intermittency of the renewable generation can be met by the integration of distributed energy resources. The virtual power plant (VPP) is a new concept which aggregates the capacities of various distributed energy resources, handles controllable and uncontrollable loads, integrates storage devices and empowers participation as an individual power plant in the electricity market. The VPP as an energy management system (EMS) should optimally dispatch the power to its consumers. This research work is proposed to analyze the optimal scheduling of generation in VPP for the day-ahead market framework using the beetle antenna search (BAS) algorithm under various scenarios. A case study is considered for this analysis in which the constituting energy resources include a photovoltaic solar panel (PV), micro-turbine (MT), wind turbine (WT), fuel cell (FC), battery energy storage system (BESS) and controllable loads. The real-time hourly load curves are considered in this work. Three different scenarios are considered for the optimal dispatch of generation in the VPP to analyze the performance of the proposed technique. The uncertainties of the solar irradiation and the wind speed are modeled using the beta distribution method and Weibull distribution method, respectively. The performance of the proposed method is compared with other evolutionary algorithms such as particle swarm optimization (PSO) and the genetic algorithm (GA). Among these above-mentioned algorithms, the proposed BAS algorithm shows the best scheduling with the minimum operating cost of generation

    A Novel Design of Three-Phase Transverse Flux Linear Motor to Minimize Force Ripples

    No full text
    International audienceA new modeling of transverse flux linear motor (TFLM) is proposed in this paper. The design consists of three separate stators and one common inner mover. The stators are fed by a three-phase alternating current, and the mover is excited by permanent magnets placed within it. The field distribution of the machine is investigated by using 3D finite element analysis and MagNet ® software for electromagnetic simulation. The thrust force characteristics of three-phase TFLM are compared with the single- and two-phase models. It is shown that the average force is increased and the ripple effect of the thrust force is minimized as compared to either single- or two-phase model
    corecore