DOI: 10.5281/zenodo.18286417
title: Generated Operational Profiles for Grid-Connected Hybrid Renewable Energy System (Solar–Wind–BESS–Conventional) for Indian Educational Buildings with Power Quality Analysis

description: 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
description: Hybrid renewable energy systems (HRES) which use grids are also becoming a secure way to sustainably address the growing electricity needs of Indian educational buildings whilst being cost-effective and of an acceptable power quality. This work offered generated operating profiles of a grid connected hybrid renewable energy system comprising of solar photovoltaic (PV), wind energy conversion system (WECS), battery energy storage system (BESS), inverter/rectifier interface, and grid-aided conventional supply. The paper studied the load conditions in educational buildings (Jaipur, India) where continuous power supply and constant power parameters is essential to classrooms, laboratories, IT infrastructure, and HVAC loads. Operational profiles were created to model uncertainties in the real world, to reflect the variability of renewable generation and demand, which were made to assume random variability, including day-of-day and time-step variability. We attempted to analyze the system robustness in the presence of varying irradiation, wind speed, and load conditions by considering two variability cases, which reflected moderate and high uncertainty conditions as follows:

The profiles that were produced contained important techno-economic and operational data (use) (presumption):- net present cost (NPC); cost of energy (COE); operating cost; initial capital; renewable fraction; annual energy output; energy acquired by the grid; energy provided to the grid; and component-level performance data (PV, wind turbine, BESS, and inverter subsystems). Moreover, the data facilitated sensitivity-based analysis of export limitations by considering a number of grid sell capacity settings, which allowed making a comparative understanding of system behavior under different policies of grid-interactions. The results obtained showed that the renewable contribution was still the most dominant with properly sized configurations and grid import-export balance is an important factor contributing to the overall operating cost and economic of the energy.

The quality of power analysis was considered as the important performance requirement during the operation profiling phase since the hybrid renewable integration and bi-directional grid exchange may cause voltage drop, variations in frequency, harmonic, or distortion created by the inverter. Consequently, the profiles that were generated were designed to aid in the quality assessment of power in detail in various power flow conditions (high PV penetrations, wind-dominated periods, battery charge/discharge delays, and grid export saturation conditions). The prepared operation profiles helped to offer a good reference point in studying stability and adherence of the system to the power quality standard especially in the educational campuses where electronic loads tend to be sensitive at all times.

The value of the work is the development of coherent, scenario-driven operating profiles which allow to make a comparative analysis of the performance of HRES in the conditions of uncertainty and sensitivity of the export limit. These profiles can help inform the researchers and planners to build resilient grid-connected hybrid renewable systems to institutional buildings in India to facilitate both clean energy transition and quality results on reliable power provision.