Power Grid Contingency Control Tables for Disaster-Driven Failures
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Solution Overview
Problem
Existing power system monitoring control systems fail to account for large-scale disasters such as earthquakes and tsunamis, leading to a risk of blackouts and lack transparency in contingency changes, thus compromising supply reliability and resiliency.
Innovation Solution
A power system monitoring control system that estimates contingency points and disaster contents using disaster information, updates contingency data based on change rules, and generates a control table to manage power system stability during failures, including large-scale disasters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If fixed contingencies are used to generate control tables, then the control table can be generated based on preliminary simulations, but the system cannot handle rare large-scale disasters such as earthquakes and tsunamis
Solution Approach 1:
The system dynamically changes contingency data based on disaster information and estimation results. The contingency data is no longer fixed but adapts to different disaster scenarios through automated estimation and generation processes, enabling the system to handle both common and rare disasters effectively
Solution Approach 2:
The system performs preliminary estimation of contingency points and disaster contents before actual disasters occur. By pre-generating control tables based on estimated disaster scenarios, the system prepares in advance for potential failures without waiting for actual disaster events
2Loss of information
If the control table is generated based on fixed contingencies, then the generation process is simple, but the transparency and accountability of contingency changes are insufficient
Solution Approach 1:
The system provides feedback by outputting estimation results and change reasons for contingency data. This feedback mechanism ensures transparency by showing how and why contingency data changes, allowing stakeholders to understand the decision-making process without adding excessive complexity
Solution Approach 2:
The system introduces an intermediary process that generates and manages contingency data based on disaster information. This intermediary layer between disaster events and control table generation ensures accountability by documenting the transformation from disaster information to control decisions
Data Source
AI summary
A power system monitoring control system and method that retains a control table and, when a failure occurs, controls a target according to a type of the failure according to the control table in which the method includes: estimating a contingency point which is an occurrence point of the failure that is assumed in the power system based on prescribed disaster information; estimating an assumed disaster content which is a content of a disaster at each contingency point based on the disaster information and an estimation result of the contingency point; changing contingency data based on an estimation result of the assumed disaster content at each contingency point, contingency data including an occurrence site and an aspect of each of the failures that are assumed to occur, and a contingency change rule including a contingency data change rule; and updating the control table based on changed contingency data.