GRID-CONNECTED HYBRID PV–WECS A Public-Data-Based Techno-Economic, Energy-Yield and Grid-Integration Assessment Using Government-Owned Renewable Assets in Madhya Pradesh, India.

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).