RENEWCONNECT - All about renewables & power sector

Identifying ramp-ups and ramp-downs in real-time generation data for solar and wind involves monitoring fluctuations in generation output over a set period. Here’s a step-by-step approach for detecting these changes over daily, monthly, or yearly timeframes: 1. Data Collection and Pre-processing Collect Real-Time Generation Data : Capture real-time or near-real-time data for both solar and wind generation at an appropriate resolution (e.g., minute-by-minute or hourly). Clean Data : Address any data gaps, outliers, or anomalies due to sensor issues, downtime, or maintenance. Convert to Uniform Units : Ensure all data is in a consistent format, such as MW or kW. 2. Define Ramp-Up and Ramp-Down Events Ramp-Up : A positive change in power output over a specified time interval (e.g., 10% increase over 10 minutes). Ramp-Down : A negative change in power output over a specified time interval (e.g., 10% decrease over 10 minutes). The threshold values for ramp-ups and ramp-downs will vary based...

Trend analysis is the process of examining data over a specific period to identify patterns or trends that can indicate potential future outcomes. By looking at how data points have changed historically, trend analysis helps forecast possible future changes and make informed decisions. This method is widely used in various fields such as finance, economics, business, and technology to track performance metrics, identify growth or decline patterns, and predict future behavior. Key Components of Trend Analysis: Data Collection : Gathering historical data relevant to the area being analyzed, such as sales data, stock prices, or climate data. Trend Identification : Observing the general direction—whether upward, downward, or stable. Pattern Recognition : Detecting any regular fluctuations, such as seasonal changes, cyclical patterns, or random irregularities. Forecasting : Using the identified trends and patterns to make predictions about future values or events. Evaluation : Continuously ...

 The timeline for regulations and amendments related to Forecasting and Scheduling (F&S) in India is shaped by both the Central Electricity Regulatory Commission (CERC) and various State Electricity Regulatory Commissions (SERCs). Below is an overview of the key milestones: 1. CERC Regulations: 2015 : CERC issued the Forecasting, Scheduling, and Deviation Settlement Mechanism (DSM) Regulations . This regulation applied to Inter-State transmission and aimed at maintaining grid discipline by penalizing deviations from scheduled generation. 2016-2017 : CERC made amendments to the DSM regulations to fine-tune the provisions, particularly with respect to the renewable energy sector, introducing tighter frequency bands and refining penalties for deviation. 2018 : CERC amended the DSM regulations again, placing a higher emphasis on better forecasting accuracy and including new provisions for renewable energy-rich states. 2020 : CERC issued CERC (Deviation Settlement Mechanism and Rela...

State Periphery Charges are included in the DSM, which is introduced by the Himachal Pradesh, Maharashtra, and Telangana State Electricity Regulatory Commissions in India. The term "state periphery" is defined as below: State Periphery  or ‘HP Periphery’ means, except in situations that may warrant any other treatment in specific cases, the interconnection point of the transmission system of the STU with the transmission system of the CTU; or with any other inter-state transmission system not owned by any State Entity, or with the generation bus-bar of the joint sector projects from where power is supplied to the Distribution Licensee through the STU system; [or] The periphery of the electrical power system and its components thereof under operational supervision and control area jurisdiction of SLDC (State Load Dispatch Centre) covering InSTS (Intra-State Transmission System) Source: Himachal Pradesh State Electricity Regulatory Commission (HPERC) Note: Interlinks for the a...