This paper is presented to observe the conversion of renewable strength resources (RER) into electric power in a standalone hybrid electricity generation system. Recent electricity generation scenarios all over the world are not eco-friendly because the generation systems are by and large depending on fossil fuels that produce greenhouse gasoline (GHG) which contributes to worldwide warming. In this, the aggregate of two electricity resources is taking location i.e. Wind and solar energy. Solar panels are used for converting solar power and wind generators are used for converting wind power into strength. This electrical electricity era can function for numerous purposes. Generation of strength will take place at an affordable cost. This paper provides the Renewable Energy Based Hybrid Technology for Power technology that extracts the renewable energies in Sun and Wind to generate power. System manage relies particularly at the microcontroller. It ensures the optimal utilization of assets and consequently improves the efficiency as related to their person mode of the technology system. Also, it will increase the reliability and decreases the dependence on one unmarried source. This hybrid solarwind energy generating machine is appropriate for industries and additionally for home areas with reasonable price without unfavorable the natural stability like Pollution Free from GHG.
Available transfer capability (ATC) plays an important role for both buyers and suppliers in the deregulated power system. As the integration of renewable energy sources is taking place very quickly in the system. It is not suggested to place wind generation (WG) at any point of the system. In this paper, the optimal location of buses for WG using a novel sensitive based formula is proposed. The zones are formed using the transmission congestion distribution factor (TCDF) values. The average transmission congestion distribution factor (ATCDF) is used to locate the optimal point of the system. When the WG is integrated into the system its obvious ATC increases but at which point the ATC values will be more is considered as the main objective. The WG is placed at every bus in the zone created by the TCDF value and the ATC value is calculated. The test is performed on the IEEE-30 bus system in MATLAB coding environment. The comparison result shows the ATC value enhances more when the WG is placed according to the proposed method. The proposed method also helps to find multiple locations for WG installation according to ATCDF value.
Highlights
Average TCDF value is proposed to find the optimal bus location for getting more ATC value.
Integration of WG according to highest ATCDF value in the system.
Comparison of ATC obtain from the integration of WG at different buses in sensitive zones.
Validation of a proposed method by comparing the ATC value obtain from integrating WG at different buses.
The optimal bus location based on the ATCDF value gave enhance ATC value compare to the other bus location.
ATCDF value helps in finding the multiple locations for integration of WG in the system.
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