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.
Background and Objectives:Nepal is facing the problem of safe, effective and quality radiology services due to lack of adequate knowledge towards advance technology in health sector professionals. Therefore, the present study was designed to focus on the knowledge, attitude and practice on radiation among employee in selected hospitals.
Material and Methods:This is a descriptive cross-sectional study conducted in among technical and non technical staff that were involved in or come across the radiology department. A set of self structured questionnaire and observation was used for data collection. Purposive sampling technique was used for the data collection. The collected data was compiled and analyzed by using SPSS 16.
Results:The total number of staff participated in this study were 113, among them 65(58%) belong to technical group as health Professionals and 48(42%) belong to non-technical group. The knowledge of the technical staff was 66.95%, perception was 87.65% and the having the practice of protection was 75.9% whereas in non-technical staffs were 53.46%, perception is 64.60% and the having the practice of protection is 53.74%.
Conclusion:The overall knowledge of radiation exposure amongst technical and non-technical staffs was average, poor perception and satisfactory practices. Regular training programmes and national legal law should be processed to reduce malpractice in radiations.
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