Distributed Data Streaming Server for Real-Time Power System Simulation
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Solution Overview
Problem
Historically, power system simulations have been computationally expensive and time-consuming due to complexity, limiting their ability to be run in real-time, and existing devices and software packages use proprietary formats and protocols, preventing seamless data transfer and interoperability necessary for real-time or faster-than-real-time simulation and control.
Innovation Solution
A distributed data streaming server (D2S2) is used to enable real-time simulation and control of power systems by providing a common data exchange format and bidirectional data streaming, allowing various modules to interoperate and share information dynamically, thereby facilitating real-time or faster-than-real-time simulation and control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If proprietary data formats and communication protocols are used by different devices and software packages, then each device can maintain its own data integrity and compatibility, but interoperability between devices and software packages becomes practically impossible
Solution Approach 1:
The patent implements a centralized data server as an intermediary component that all simulation devices and software packages connect to. This server uses standardized data formats and communication protocols to mediate data exchange between heterogeneous systems, allowing each device to maintain its own proprietary formats internally while achieving interoperability through the standardized intermediary interface.
2Measurement precision
If numerical integration methods are used to simulate power grid behavior, then accurate representation of power grid state and behavior is achieved, but computational cost and time consumption increase significantly
Solution Approach 1:
The patent divides the power grid simulation into multiple independent simulation devices and software packages, each handling specific portions of the grid. This segmentation allows parallel computation of different grid sections, reducing overall computation time while maintaining accuracy through coordinated data exchange via the centralized server.
Solution Approach 2:
The system performs preliminary data preparation and model setup before actual simulation runs, pre-processing power grid data into standardized formats and preparing simulation models in advance. This preliminary action reduces the computational burden during real-time simulation execution.
3Adaptability or versatility
If offline simulations are run to prepare for contingencies, then comprehensive analysis of multiple scenarios can be performed, but the ability to respond to actual contingencies in real-time is limited
Solution Approach 1:
The patent implements real-time feedback mechanisms where simulation results are immediately fed back to operators through standardized interfaces. The centralized data server continuously updates simulation states and transmits results to multiple client applications, enabling real-time monitoring and rapid response to contingencies while maintaining comprehensive scenario analysis capabilities.
Data Source
AI summary
Systems and methods for simulating and controlling a power system in real time, using a controller, are provided. The controller includes a simulation layer to simulate an operation of the power system, a disturbance generation layer to provide data to the simulation layer to disturb the simulated operation of the power system, an application layer to display the simulated operation of the power system and generate a control signal to control, based on the simulated operation of the power system, at least one element of the power system, and a distributed data streaming server (D2S2) to allow interoperability among the simulation layer, the disturbance layer, and the application layer.