FUZZY TIDF CONTROLLER DESIGN FOR DEREGULATED AGC SYSTEMS USING MOTH-FLAME OPTIMIZATION
Published In: 10TH INTERNATIONAL CONFERENCE ON ENGINEERING, TECHNOLOGY AND MANAGEMENT
Author(s): K. ALFONI JOSE , G RAAM DHEEP , TULASICHANDRA SEKHAR GORRIPOTU
Abstract: This paper deals with the performance of two control area within a deregulated multi source power system. Both the two areas includes thermal and gas units. The proposed controller is cascade combination of the fuzzy controller and the tilt integral derivative controller with filter (fuzzy TIDF). The controller's parameters are optimized using an advanced Moth Flame Optimization Algorithm (MFOA). This work highlights the superior performance of fuzzy TIDF controller in comparison to PID and TID controllers. This assessment is based on the observation of dynamic responses across different controller configurations. This particular study examines the system’s behaviour under poolco based and bilateral scenarios. In summary, this paper presents a new Fuzzy+TIDF controller optimized using a MFOA within a two-area system operating in a deregulated context to mitigate the frequencies and tie-line power.
- Publication Date: 14-Dec-2024
- DOI: 10.15224/978-1-63248-197-9-09
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IMPACTS OF FUTURE LAND USE ON VEGETATION CO2 FLUXES OVER MADRID, SPAIN
Published In: 10TH INTERNATIONAL CONFERENCE ON ENGINEERING, TECHNOLOGY AND MANAGEMENT
Author(s): ROBERTO SAN JOSE , JUAN L. PEREZ-CAMANYO , MIGUEL JIMENEZ-GANAN
Abstract: Biogenic CO2 fluxes are influenced by temperature, radiation, and vegetation, which are represented by different land use types and affect CO2 concentrations. High-resolution meteorological and land-use data were generated to model these factors. Vegetation indices were derived from the land use data and used to estimate biogenic emissions. These calculations were applied within three nested computational domains centred on Madrid (Spain). To assess the impacts of future land use on biogenic CO2 emission fluxes, two simulations were conducted: R1, representing the socio-economic scenario of 2018 (baseline year), and R2, reflecting future socio-economic scenarios. The impacts were calculated by comparing the differences between R2 and R1. The research covered four climate and socio-economic scenarios: SSP126, SSP245, SSP370, and SSP585. This study is part of the EU-funded DISTENDER project, which aims to develop a methodological framework to integrate climate adaptation and mitigation
- Publication Date: 14-Dec-2024
- DOI: 10.15224/978-1-63248-197-9-10
- Views: 0
- Downloads: 0