Dynamic Power Flow Simulator Using General-Purpose Processors
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Solution Overview
Problem
Existing power system simulators either fail to simulate dynamic conditions or require costly and complex specialized hardware, limiting their ability to test power system controllers effectively without affecting actual loads or reproducing dynamic scenarios.
Innovation Solution
A dynamic power system simulator that uses general-purpose microprocessors to calculate active and reactive power flow values, simplifies generator models, and groups buses into super nodes to reduce processing complexity, allowing for simulation of dynamic conditions without dedicated hardware.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If specialized hardware is used to simulate dynamic power system conditions, then simulation capability is improved, but device complexity and cost increase
Solution Approach 1:
The patent replaces specialized simulation hardware with a software-based dynamic power flow simulator running on general-purpose microprocessors. The simulation engine uses numerical methods to solve power flow equations dynamically, substituting complex hardware systems with software algorithms that achieve the same simulation functionality without requiring dedicated simulation equipment.
Solution Approach 2:
The simulator is designed to run on general-purpose microprocessors that can perform multiple functions beyond power system simulation. This universal approach allows the same hardware platform to be used for simulation, control, monitoring, and other power system tasks, eliminating the need for specialized single-function simulation hardware.
2Measurement precision
If detailed generator models are used, then simulation accuracy is improved, but processing complexity increases
Solution Approach 1:
The patent extracts and retains only the essential dynamic characteristics of generator models that are critical for power system stability analysis. By identifying and keeping only the most important parameters and equations that govern generator behavior during disturbances, the model maintains simulation accuracy while removing unnecessary complexity that would burden processing.
Solution Approach 2:
The simulation dynamically adjusts model parameters and complexity based on system conditions. During normal operation, simplified models are used, while during disturbance conditions, the model automatically incorporates more detailed generator characteristics when needed, optimizing the balance between accuracy and processing requirements.
3Reliability
If full power system modeling is used, then simulation completeness is improved, but processing time increases
Solution Approach 1:
The power system is divided into multiple zones or areas, each with its own simplified model. The simulation processes these segments in parallel or in a coordinated sequence, allowing the complete system to be simulated by combining results from smaller, more manageable portions. This segmentation enables comprehensive system-wide simulation while reducing the computational burden on any single processing unit.
Solution Approach 2:
The simulator applies full-detail modeling only to critical system components and areas where detailed analysis is most needed for stability assessment, while using simplified models for less critical portions of the system. This selective approach ensures simulation completeness for key elements without requiring full complexity throughout the entire system.
4Reliability
If real-time simulation is implemented, then controller testing effectiveness is improved, but computational speed requirements increase
Solution Approach 1:
The simulator performs preliminary calculations and pre-computes certain system parameters and matrices before real-time simulation begins. By preparing lookup tables, pre-calculating admittance matrices, and initializing system states in advance, the simulator reduces the computational burden during actual real-time operation, enabling controller testing without requiring excessive computational speed during the simulation itself.
Data Source
AI summary
A power system simulator may calculate mechanical power of at least one generator at a second time in a simulated power system based at least in part on electrical power of the at least one generator at a first time. The power system simulator may calculate system frequency at second time based on system dynamic model that models the electrical power and the mechanical power of the simulated power system, frequency and voltage characteristics in the simulated power system, and inertia of the at least one generator. The power system simulator may provide simulated power system measurements based on the active power values to a power system controller to allow testing of the power system controller.