GRID-CONNECTED HYBRID PVβWECS A Public-Data-Based Techno-Economic, Energy-Yield and Grid-Integration Assessment Using Government-Owned Renewable Assets in Madhya Pradesh, India. | IJEEE Volume 9 β Issue 5 | IJEEE-V9I5P3
IJEEE
International Journal of Electrical Engineering and Ethics
ISSN 2456-9771 Β· Peer-Reviewed Β· Open Access
π Volume 9, Issue 5
π
September 12, 2026
π Pages 24β36
π ID: IJEEE-V9I5P3
GRID-CONNECTED HYBRID PVβWECS A Public-Data-Based Techno-Economic, Energy-Yield and Grid-Integration Assessment Using Government-Owned Renewable Assets in Madhya Pradesh, India.
Author(s)
MD MISTER, Dr. AMOL BARVE, Dr. NAND KISHORE
Abstract
Driven by the rapid adoption of variable renewables, there is a need for hybrid generation systems which utilize different complementary renewable resources while abiding by the grid’s operational constraints. This paper presents a transparent, reproducible, public-data based assessment of a grid-connected hybrid photovoltaic and wind energy system made by two government-owned renewable energy plants in Madhya Pradesh. These plants are the 50 MW NTPC Rajgarh Solar PV Power Plant and the Oil India Limited’s 63.2 MW worth of wind plants in the state. Data about power plants’ capacity and output, generated and delivered, is publicly and transparently provided by the Central Electricity Authority and Press Information Bureau in the case of these two plant. It allows to perform an auditable, secondary-data case study on them. In FY18-19 the 50MW NTPC Rajgarh solar plant delivered 78.93 GWh whereas the oil India projects’ output totaled 137.48 GWh. Their respective capacity factors calculated are ~18.02 % for solar and ~24.83 % for wind power plants. Then, we consider an aggregated virtual portfolio of 113.2 MW. If there are aggregated together, these plants would deliver annual generation equal to 216.41 GWh thus totaling a ~21.82 % CF for the whole portfolio and 212.08 GWhnet (with ~ 2 % hybrid collection/evacuation loss). The estimated C02 reduction with the CEA C02 emission factor (0.744tCO 2/MWh for FY18-19) is then of approximately 161k tones. Indeed, while the model intends to use, for as long as possible, measured data in order to discriminate simulation assumptions from real input data (no co-location or sub hourly complementary was assumed between the two plants and measured data do not suffice to assess such complementarity) and intends to provide a suitable model that can be followed up by the already mentioned simulation at hourly basis,power-quality analysis, PV battery sizing, ramp-rate analysis, forecasting, or economic optimization; this framework can be very useful for any academic (paper/PhD study, design study).
Keywords
Grid-connected hybrid renewable energy-Solar PV & wind energy conversion system(WECS)-Hybrid power plant-NTPC Rajgarh-Oil India Limited-MP-CEA, public data, capacity factor, renewable integration, grid stability, energy yield, techno-economic feasibility study.
Conclusion
This paper develops an easily-repeatable structure to analyze a grid connected hybrid PV-WECS portfolio. The publicly provided Government of India data for empirical case study assets will consist of Oil India Limited’s 63.2 MW WECS portfolio in Madhya Pradesh along with NTPC Rajgarh Solar Power plant’s 50 MW PV power station. FY 18β19 data publicly given are 78.93 GWh and 137.48 GWh respectively for the aforementioned plants, resulting in gross annual combined generation of 216.41 GWh from an installed renewable capacity of 113.2 MW, which translates into an aggregate annual capacity factor of about 21.82%. Taking the aforementioned illustrative 2% aggregation loss, net generation will be estimated at about 212.08 GWh. Perhaps the only truly scientific result is the methodological one: that in a legitimate hybrid-power study, there should be no confusion between yearly energy addition and demonstrated temporal correlation, or. This paper is a valid first step toward defining the baseline public-data study, while subsequent work will be based on coupled hour-by-hour resource/generation data that is quantifiable (correlation, ramp reduction, Curtailment, storage required, error in forecasting, grid support). This establishes a viable step to a public-data analysis, which can then form the foundation of a MATLAB/Simulink simulation, to finally a site-specific engineered design. In publish: the manuscript must be documented as ‘a ‘public-data based virtual hybrid portfolio appraisal” until researcher have convincing data showing that those assets are physically adjacent and electrically integrated to a hybrid power plant.
References
[1] Physical Achievements / Renewable Energy Statistics,Ministry of New and Renewable Energy,Government of India.
[2] Renewable Energy Generation Reports,Central Electricity Authority, Ministry of Power,Government of India.
[3] Renewable Energy Generation Data of CPSU Stations, 2018-19 and 2019-20,Press Information Bureau,Government of India.
[4] Annual Reports and official tender archive (50MW Rajgarh Solar PV project),NTPC Limited.
[5] Oil India Limited renewable-energy projects,Petition No. 08 of 2022, Madhya Pradesh Electricity Regulatory Commission.
[6] CO2 Baseline Database for the Indian Power Sector,Central Electricity Authority.
[7] published generation and capacity reports, National Power Portal, Ministry of Power.
[8] Renewable Energy Statistics 2024-25,MNRE.
[2] Renewable Energy Generation Reports,Central Electricity Authority, Ministry of Power,Government of India.
[3] Renewable Energy Generation Data of CPSU Stations, 2018-19 and 2019-20,Press Information Bureau,Government of India.
[4] Annual Reports and official tender archive (50MW Rajgarh Solar PV project),NTPC Limited.
[5] Oil India Limited renewable-energy projects,Petition No. 08 of 2022, Madhya Pradesh Electricity Regulatory Commission.
[6] CO2 Baseline Database for the Indian Power Sector,Central Electricity Authority.
[7] published generation and capacity reports, National Power Portal, Ministry of Power.
[8] Renewable Energy Statistics 2024-25,MNRE.
π How to Cite This Paper
MD MISTER, Dr. AMOL BARVE, Dr. NAND KISHORE (2026). GRID-CONNECTED HYBRID PVβWECS A Public-Data-Based Techno-Economic, Energy-Yield and Grid-Integration Assessment Using Government-Owned Renewable Assets in Madhya Pradesh, India.. International Journal of Electrical Engineering and Ethics, 9(5), 24β36. ISSN: 2456-9771. DOI: https://doi.org/10.5281/zenodo.22728302