Hybrid Microgrids are being widespread for power generation in remote locations. The improvement in non-conventional energy sources and rise in the price of existing electrical energy production sources led to the advancement of hybrid renewable sources. Economic characteristics of these technologies are adequately capable to include in emerging power generation. Advances and research in solar, wind and other non-conventional energy sources are required to continue for improving their performance, creating techniques for exactly forecasting their outputs and reliably integrating with other conventional sources used for generation. Economic dispatch is being taken into consideration as the optimal output of the electricity generation facilities. These are to be met as per the load at the lowest possible cost. The problem on Economic Dispatch (ED) and different technical constraints considering power balance in the network satisfying the objective are to be formulated. This paper presents a brief review on economic dispatch of hybrid microgrids.

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Abstract:The action of inverters which are connected in parallel in microgrids is supported on droop process. The actual droop process comprises of rectifying the final voltage frequency and size to obtain self-standing power sharing without control wire interconnections. The actual voltage droop process reveals several drawbacks such as interior multiloop feedback control, frequency and voltage deviations. This paper intends a modern control tactic in microgrid applications by bringing down substantial flux in place of inverter final voltage. Firstly, substantial flux, active and reactive powers are mathematically obtained and a relationship is established between them which are employed to promote a modern flux droop technique. A small signal model is improved in direction to sketch the main parameters which are to be controlled and to study the steadiness as well as the system dynamics. A direct flux control step by step technique is used to adjust the substantial flux agreeing to the droop controller to evade the utility of PI controllers and PWM modulators. The simulation output shows that intended flux droop tactic can obtain reactive and active power shared by decreasing the frequency deviated than actual droop process, which spotlights influential usage in applications of microgrids.

The electrical load prediction during an interval of a week or a day plays an important role for scheduling and controlling operations of any power system. The techniques which are presently being used and are used for Short Term Load Forecasting (STLF) by utilizing various prediction models try for the performance improvement. The prediction models and their performance mainly depend upon the training data and its quality. The different forecasting approaches using Support Vector Machine (SVM) depending on several performance indices has been discussed. The accuracy of the forecasting approaches is measured by Mean Absolute Error (MAE), Root Mean Square Error (RMSE), prediction speed and training time. The approach with least RMSE reveals as the best among the SVM methods for short term load forecasting.