Generated Operational Profiles for Grid-Connected Hybrid Renewable Energy System (Solar–Wind–BESS–Conventional) for Indian Educational Buildings with Power Quality Analysis

This file contains generated operational profiles for a grid-connected hybrid renewable energy system (HRES) designed for Indian educational buildings (Jaipur, India). The hybrid system integrates Solar PV, Wind turbine, Battery Energy Storage System (BESS), Power Converter (Inverter/Rectifier), and Grid/Conventional supply. The main purpose of this data is to support system design evaluation, sensitivity analysis, and power quality-related assessment under realistic uncertainty conditions. 1) What is in this Study The file includes multiple simulation-based configurations for the hybrid system, where the system performance was recorded for different combinations of: PV capacity (kW) Wind turbine capacity / number of turbines Battery storage capacity (kWh) Converter/inverter size (kW) Grid interaction constraints (import/export) Each row typically represents a unique system configuration, and its corresponding output parameters show how that configuration performed economically and operationally over the simulation period. 2) Random variability modeling included in the study To make the generated profiles more realistic, the system inputs were created with uncertainty (random variability). This variability is important because actual Indian weather and campus load profiles fluctuate daily and within time steps. Two cases are included: Case 1: Moderate variability Day-to-day variability: 5% Timestep variability: 5% Case 2: Higher variability Day-to-day variability: 10% Timestep variability: 10% These cases help users evaluate: System robustness under uncertainty Reliability of HRES operation during variable weather and demand Impact on grid import/export and battery cycling 3) Grid-sell capacity sensitivity options The data is structured with sensitivity analysis for grid export (sell) capacity, which represents a key parameter in grid-connected hybrid systems. Four export capacity options are included: 500 kW 750 kW 1000 kW 1250 kW This sensitivity is useful to understand: How export limitation affects renewable utilization How much energy gets curtailed when export capacity is low How grid policy constraints influence system economics (NPC/COE) 4) Key output parameters available in the study The file includes important indicators typically used in hybrid microgrid studies, such as: (a) Economic indicators Net Present Cost (NPC) Cost of Energy (COE) Initial capital cost Operating cost Total system cost (b) Energy performance indicators Total energy production Energy purchased from grid Energy sold to grid Renewable fraction PV production and wind production Battery throughput / charging-discharging contribution (c) Component-level configuration and outcomes PV size (kW) Wind size/quantity Battery capacity Converter size System-level energy balance 5) Practical Applications This file can be used by researchers and engineers for: Techno-economic optimization studiesUsers can identify the best-performing configuration based on COE, NPC, renewable fraction, and grid dependence. Sensitivity and scenario analysisUsers can compare results between 5%–5% and 10%–10% uncertainty, and evaluate export constraints (500–1250 kW). Decision-making for campus energy planningThe data supports feasibility evaluation for institutional buildings such as universities, schools, and technical campuses. Benchmarking and validationIt can be used as reference data to compare other methods such as: HOMER-based optimization results MATLAB/Simulink optimization models Metaheuristic algorithms (PSO, GA, GWO) ML-based forecasting + scheduling models Power quality impact preparationAlthough the file mainly captures energy/economic outcomes, it can be used to select critical operational cases (high export, high battery transition, high PV penetration) for deeper power quality analysis such as: voltage profile study frequency stability harmonic distortion due to converters grid export saturation events