Real-Time Grid Restoration via Dynamic Plan Selection
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Solution Overview
Problem
Conventional power system restoration processes face challenges due to inadequate real-time information, human errors, and inefficiencies in selecting and executing restoration plans, leading to reliability, security, and safety issues in electrical grid restoration.
Innovation Solution
A system and method for real-time electrical grid restoration that includes a monitoring module to acquire operational data and a restoration manager module to detect events, analyze data, and generate or select restoration plans for control devices to restore the grid to a normal state, reducing manual processes and predicting changes for improved reliability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional power system restoration processes are used, then restoration plans can be executed, but reliability and security are compromised due to inadequate real-time information and human errors
Solution Approach 1:
The system implements real-time monitoring of grid conditions during restoration operations, continuously feeding back operational status, system topology, and equipment states to the restoration management system. This enables dynamic adjustment of restoration plans based on actual system conditions, eliminating the information gaps that compromise reliability in conventional processes
Solution Approach 2:
The system provides automated decision support that enables the restoration process to self-adjust without relying on human operators for real-time decisions. The automated system monitors conditions, evaluates restoration plan effectiveness, and implements corrections autonomously, eliminating human error while maintaining continuous information awareness
2Ease of operation
If manual restoration plan execution is used, then flexibility in handling complex grid conditions is maintained, but human errors and inefficiencies increase
Solution Approach 1:
The system introduces an automated restoration management system that acts as an intermediary between operators and grid equipment. This intermediary handles complex real-time decision-making, plan selection, and execution coordination, reducing the cognitive burden on human operators while eliminating errors in plan interpretation and execution
Solution Approach 2:
The system replaces manual mechanical processes of plan review, interpretation, and execution with automated computational processes. Software algorithms automatically evaluate grid conditions, select appropriate restoration plans, and control equipment operations, substituting human manual operations with automated systems that eliminate errors while improving efficiency
3Loss of time
If pre-existing restoration plans are used, then response time is reduced, but adaptability to unique real-time system conditions is limited
Solution Approach 1:
The system transforms static pre-existing restoration plans into dynamic, adaptive guidance frameworks. Rather than executing fixed plans rigidly, the system uses pre-planned procedures as initial guidance but continuously adapts the execution based on real-time monitoring of actual system conditions, allowing plans to evolve dynamically to match unique situations
Solution Approach 2:
The system prepares multiple pre-existing restoration plans in advance for different scenario types, enabling immediate deployment when outages occur. These pre-planned procedures provide rapid initial response while the system simultaneously monitors conditions and adjusts plan execution, combining the speed of pre-planning with the flexibility of real-time adaptation
Data Source
AI summary
This disclosure relates to systems and methods for real-time electrical power grid restorations. An example system may include a real-time monitoring module configured to acquire operational data associated with electrical grid components of an electrical grid. The system may further include a restoration manager module configured to detect, based on the operational data, one or more unplanned outages or other events in the electrical grid. In response to the detection, the restoration manager module can analyze the operational data to determine or select from a database a restoration plan. The restoration plan can include operations associated with commands for control devices, wherein the control devices are operable to control a power transmission between the electrical grid components. The restoration manager module can be further configured to execute the one or more operations of the restoration plan to restore the electrical power grid to a normal operational state.