Tasks completed at KSERC

The analysis of the interstate power purchase cost for Kerala State Electricity Board Limited (KSEBL) involves examining half-hourly data obtained from the Southern Regional Load Dispatch Centre (SRLDC) for various power sources (e.g., central generating stations, renewable energy, and temporary access). 1. Data Overview The dataset provided for analysis includes half-hourly time slots for each day across January, February, and March, with detailed information on the following aspects: Time Intervals: The dataset spans half-hourly intervals for each day. Source Categories: The data covers power purchases from various sources, including: Central generating stations Renewable energy (solar and non-solar) Temporary access General network access Power Purchased (MW): The quantity of power procured during each interval, measured in megawatts (MW). Cost of Purchase (₹): The total cost incurred for the power purchased during the respective intervals. 2. Methodology Data Preprocessing Filtering the Data: The dataset was filtered for the months of January, February, and March, ensuring the analysis was focused on these three months. Categorization of Time Intervals: Peak Hours: Defined as the period from 6:00 PM to 10:00 PM. Solar Hours: The period from 6:00 AM to 6:00 PM, representing the hours during which solar power generation is typically active. Non-Solar Hours: The remaining time slots outside of solar generation hours. Aggregating Power and Costs: For each time interval, total power purchased and costs were calculated for each category (central generating stations, renewable energy, temporary access, etc.). Per Unit Cost Calculation: For each time interval, the per unit cost of electricity was computed as the total cost divided by the total power purchased. Analysis Goals Comparison of Costs by Source: The per unit cost for power from different sources (central generating stations, renewable energy, temporary access, etc.) was separated and analyzed. Hourly Cost Trends: A trend of per unit costs during peak, solar, and non-solar hours was plotted to analyze hourly variations in costs. Month-Wise Comparison: The per unit costs for January, February, and March were compared to observe any seasonal variations. 3. Graphical Representation The analysis involved creating the following graphs to visualize the data: Per Unit Cost by Source: A bar graph was created to display the average per unit costs for each source of power (central generating stations, renewable energy, temporary access, etc.). Hourly Trends: A line graph was plotted to show the variation in per unit costs during peak hours, solar hours, and non-solar hours across the three months. Monthly Comparison: A bar/line graph was used to compare the average per unit costs across January, February, and March, highlighting any significant trends or variations. 4. Observations and Insights Peak Hours: The analysis focused on identifying whether power from central generating stations or temporary access was more cost-effective during peak hours (6:00 PM to 10:00 PM). This insight helps to understand the pricing strategy and potential optimization areas. Solar vs. Non-Solar Hours: The impact of renewable energy, especially solar power, on the per unit cost during solar and non-solar hours was evaluated. This comparison highlights the role of renewable energy in reducing costs during certain periods. Seasonal Variation: By comparing the per unit costs across January, February, and March, any seasonal fluctuations in the cost of power were assessed, which could be attributed to factors such as demand patterns or changes in energy generation capacity.