Renewable Power Flow Stabilization with Predictive Dispatch Limits
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Solution Overview
Problem
The integration of renewable energy sources into power systems leads to significant power fluctuations, making it difficult to maintain stability, especially in loop-shaped bulk power systems, as existing stabilization systems require time for post-calculation and correction, and are inadequate for handling rapid changes in output from renewable energy sources, resulting in potential power outages.
Innovation Solution
A system that dynamically manages operation limit values for power flow by integrating thermal power generators and renewable energy sources, using predictive load dispatching information to adjust output power and determine stable power flow states, allowing for real-time adjustments to prevent overload and maintain system stability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If renewable energy apparatus are introduced into the power system to increase green energy supply, then the proportion of renewable energy in the power system is improved, but the power flowing through system equipment fluctuates greatly causing overload problems and stability maintenance issues
Solution Approach 1:
The system performs transient stability calculation in advance for multiple assumed fault cases to determine the required generator shedding amount before actual faults occur. The calculation results are stored in a control table that is updated beforehand, enabling rapid response when actual malfunctions occur without requiring real-time computation during critical moments.
Solution Approach 2:
The control table is dynamically updated based on changing system conditions and renewable energy output predictions. The system continuously recalculates and updates the generator shedding amounts in the control table to adapt to varying power flow states, ensuring the stabilization strategy remains effective as renewable energy proportions change.
2Reliability
If existing stabilization systems perform post-calculation and correction after system faults, then stability can be restored, but the response time is too slow to handle rapid changes in renewable energy output
Solution Approach 1:
The system pre-calculates generator shedding amounts for multiple assumed fault cases and stores these control strategies in advance in a control table. When actual faults occur, the system simply retrieves and executes the pre-prepared control strategy from the table, eliminating the need for time-consuming post-fault calculations and enabling immediate stabilization response.
Solution Approach 2:
The system skips the time-consuming transient stability calculation process during actual faults by using pre-computed results. Instead of performing detailed calculations after a fault occurs, the system rapidly queries the control table for the appropriate pre-determined generator shedding amount and executes it immediately, effectively rushing through the stabilization process.
3Ease of operation
If operator performs manual adjustment of generator output to eliminate overload, then the overload problem can be resolved, but the process requires trial and error and cannot be executed efficiently in loop-shaped bulk power systems
Solution Approach 1:
The system automatically determines the required generator shedding amount by querying the pre-computed control table based on the actual fault location and system state. This eliminates the need for operators to manually perform trial-and-error adjustments, as the system self-determines and executes the optimal control action immediately, significantly improving both ease of operation and adjustment efficiency.
Solution Approach 2:
The system replaces the manual mechanical adjustment process with an automated information-based control system. Instead of operators physically adjusting generator outputs through trial and error, the system uses pre-computed data from transient stability calculations to automatically determine and execute the precise generator shedding amount needed to eliminate overload conditions.
Data Source
AI summary
Provided are an operation limit value management unit managing an operation limit value related to the power flow power of system equipment and a determination unit calculating the power flow state for each set time of the future of a power system based on load dispatching information including a power generation plan value, a predicted output value, and a predicted value of power demand and determining whether or not stable is each power flow state by comparison with the operation limit value. The determination unit sequentially changes the first output power of a first power source defined by the power generation plan value of the first power source and calculates each power flow state based on power including the changed first output power and a predicted value of the output of a second power source.