In this paper, a techno-economic optimum configuration process is assessed for hybrid power systems in terms of different generation capacities. It will provide a basis for the configuration of a practical microgrid. Initially, the actual power demand in a particular university area, namely, Khulna University of Engineering & Technology in Bangladesh, is measured, and then, the process of designing the optimized model is demonstrated with an initial choice of various parameters and constraints. Its inputs are climate data, electrical loads, technical and economic parameters of the equipment used for generation, sensitivity variables, grid parameters, and project economics and constraints. The best mix of solar photovoltaics (PV) and wind power is determined considering the most profitable size of the PV's inverter for different plants. The optimization results obtained through HOMER show that a specific PV panel does not need an inverter of the same capacity and a smaller one results in a lower investment. The analysis has been carried out by considering annual increase rates of both the load and the grid power price, which makes the result more realistic. The optimal size and control strategy are determined based on the net present cost, levelized cost of energy, increased rates of load and grid price, renewable fraction, and greenhouse gas emissions. A comparative analysis between the fixed and variable data for load and cost demonstrates that an optimal inverter-PV ratio, with the best mix of PV and wind energy, provides an optimum solution for all models. An economically viable plant size of 1.5 MW for the considered case is achieved.
Electric vehicle grid integration (EVGI) is one of the most important parts of transportation electrification. However, large-scale EV charging/discharging can have an adverse effect on the distribution grid, due to a large amount of load being drawn from or fed back to the power grid. Additionally, the power electronics used in the grid interaction may impose additional complications, such as voltage and frequency deviation, harmonic distortion, etc. With proper control scheme designs for the grid-connected inverters, such complications can be mitigated, and several grid ancillary services, such as voltage and frequency support, reactive power support, and harmonic mitigation, can be facilitated from large-scale EVGI. In this study, a large-scale EVGI system is developed where the vector control implementation of a grid-connected inverter in the d-q reference frame is presented for providing different grid ancillary services using the EVGI system. The EVGI system is operated in different control modes to ensure multiple ancillary services of the power grid. The study is supported by the electromagnetic transient simulation performed in Matlab/Simulink of a large-scale EVGI system. The simulation shows that with the proper control mechanism of grid-connected inverters, EVGI can be used to provide several useful grid ancillary services.
Current power generation scenarios all over the world are not climate friendly as the generation systems are mainly dependent on fossil fuels that produce greenhouse gas (GHG). As renewable energies (especially solar and wind energies) have the sustainable characteristics, by replacing the conventional energy system with them, it is possible to significantly contribute to reducing the dependency on fossil fuels as well as GHG emissions. Though biomass is the primary renewable source in Bangladesh, this study is exploring new options in photovoltaic (PV) and onshore wind in the 0.5-2 MW capacity range. This research presents environmental and socioeconomic impacts of grid-connected hybrid (PV/wind) power systems by investigating the potentials of the solar and wind energy with considering various sensitivity variables for two different locations, namely Magnama and Dinajpur, in Bangladesh. The main goal of this research is to generate the lowest possible adverse socioeconomic and environmental impacts ensuring a certain degree of monetary benefits. Three sizes of plants have been chosen for quantifying the variations in socioeconomic and environmental impacts. It is found that the proposed model of the hybrid power system can maximise the benefits by reducing the adverse effects of conventional power plants.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.