JANKI SAKHI
Utilizing Evolutionary Algorithms and Topographical Data to identify optimal distributed photovoltaic installation sites in the Hathidah region, Bihar.
This project addresses the land-energy conflict in densely populated agricultural regions. The objective was to maximize solar energy output while minimizing land-use conflict and grid connection costs.
A Multi-Objective Evolutionary Algorithm (NSGA-II) was applied using satellite elevation models (SRTM), solar irradiance data, and land-use mapping.
The framework identified three high-viability micro-grid clusters for distributed solar deployment.
Optimize slope, aspect, and Global Horizontal Irradiance.
Reduce transmission distance to nearest substation.
Avoid double-crop fertile farmland and wetlands.
Low acquisition cost zone near railway tracks with high grid proximity.
Elevated flood-prone land suitable for agrivoltaic solar systems.
Warehouse rooftop aggregation for distributed micro-grid deployment.
The algorithm-selected sites demonstrated up to 12% higher energy output compared to traditional manual planning approaches while preserving high-value agricultural land.