Probabilistic Power Flow Forecast for Congestion Mitigation
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Solution Overview
Problem
Current power system scheduling methods fail to effectively manage uncertainty in power generation, leading to increased risk of congestion in transmission lines and voltage fluctuations, which can cause overheating and deformation of transmission lines, as well as damage to connected devices.
Innovation Solution
A method for predicting probabilistic power flow forecasts in transmission lines, generating a mitigation plan that balances load adjustments with thermal limit constraints, and controlling power generating facilities to mitigate congestion risks, using a stochastic analysis and multi-period model to handle load shedding and stable operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If deterministic forecast is used for OPF problem, then system operation cost is minimized, but reliability deteriorates due to inability to handle uncertainty in power generation
Solution Approach 1:
The patent transforms the deterministic forecast parameter into a probabilistic forecast parameter that incorporates uncertainty. The stochastic analysis changes the nature of the input data from fixed values to probability distributions, allowing the system to account for variability in renewable generation and load while maintaining operational reliability.
Solution Approach 2:
The patent introduces dynamic elements by using time-varying probabilistic forecasts and stochastic simulations. The system adapts to changing conditions by continuously updating probability distributions and re-solving the OPF problem under multiple scenarios, making the system responsive to uncertainty rather than static.
2Reliability
If probabilistic power flow forecast is implemented, then congestion risk is reduced, but computational complexity increases
Solution Approach 1:
The patent segments the complex probabilistic OPF problem into manageable components: (1) generating multiple scenarios from probabilistic forecasts, (2) solving deterministic OPF for each scenario, and (3) aggregating results to assess congestion risk. This segmentation allows the use of existing deterministic solvers while incorporating probabilistic elements.
Solution Approach 2:
The patent applies partial action by focusing computational efforts on the most critical scenarios and time periods. Rather than exhaustively solving all possible probabilistic outcomes, the system identifies and addresses the most likely congestion scenarios, providing sufficient reliability improvement without excessive computational burden.
3Reliability
If load adjustment is applied to mitigate congestion, then transmission line safety is improved, but power system productivity decreases
Solution Approach 1:
The patent applies preliminary action by proactively adjusting load and generation before congestion occurs. The probabilistic forecast allows the system to anticipate potential overload conditions and take preventive measures, such as curtailment or redispatch, avoiding the need for emergency load shedding that would have greater impact on productivity.
Solution Approach 2:
The patent implements feedback mechanisms by continuously monitoring actual power flows against probabilistic predictions and thermal limits. The system uses this feedback to adjust operational decisions in real-time, balancing line safety with productivity by only applying load adjustments when and where actually needed based on observed conditions.
Data Source
AI summary
A method for operating a power generating facility connected to a power distribution grid having an uncertain power generation condition includes predicting a probabilistic power flow forecast in a transmission line of the power distribution grid for a period of time, wherein the transmission line is electrically coupled to the power generating facility, predicting, using the probabilistic power flow forecast, a probability of congestion over the transmission line of the power distribution grid during the period of time, generating a mitigation plan, including a load adjustment on the transmission line, using the probability of congestion predicted over the transmission line and a thermal limit constraint of the transmission line, wherein the mitigation plan balances load adjustment and an overlimit line capacity on the transmission line, and controlling the power generating facility, using the mitigation plan, to achieve load modification and mitigate the probability of congestion predicted in the transmission line.