Autonomous Line Flow Control for Power Grid Congestion
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Solution Overview
Problem
Current electrical power systems face challenges in efficiently managing transmission line congestion and ensuring N−1 security due to lack of information sharing between utilities and control areas, leading to inefficient utilization of transmission assets and financial distortions, and the inability to effectively utilize smart distributed sensors and controllers for autonomous adjustments.
Innovation Solution
A machine-readable storage medium containing machine-executable instructions for a method that uses a distributed Newton method to calculate branch flow variables and adjust component variables, nodal output variables, and branch flow variables to ensure feasible AC power flow by determining adjustments to power injections and reactances in a distributed and autonomous manner.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If distribution factors-based methods are used to monitor line flows, then line flow monitoring is achieved, but information sharing between utilities and control areas is lacking leading to inefficient transmission asset utilization
Solution Approach 1:
The patent divides the centralized power system into autonomous control areas, each with its own energy management system that can independently calculate line flows using local measurements and distribution factors. This segmentation enables distributed decision-making while maintaining overall system coordination, resolving the contradiction between information sharing limitations and asset utilization efficiency.
Solution Approach 2:
Each control area is equipped with local computational capabilities to calculate distribution factors and monitor line flows using only local measurements. This local quality approach eliminates the need for extensive inter-utility information sharing while maintaining accurate transmission monitoring and enabling efficient asset utilization through localized optimization.
2Reliability
If N−1 security tracking is implemented to ensure no security problems, then system security is maintained, but transmission congestion costs increase and efficient energy resource utilization is hindered
Solution Approach 1:
The system performs preliminary calculations of distribution factors and contingency impacts before actual disturbances occur. By pre-computing the effects of potential N−1 contingencies using distribution factors, the system can proactively adjust generation and load to prevent congestion, maintaining security while avoiding the inefficiencies of reactive congestion management.
Solution Approach 2:
The patent implements continuous feedback loops where line flow measurements, distribution factors, and contingency assessments are constantly updated and used to adjust generation dispatch and load management. This real-time feedback enables the system to maintain N−1 security while optimizing energy resource utilization by preventing congestion before it occurs rather than reacting to it.
3Extent of automation
If smart distributed sensors and controllers are deployed for autonomous adjustments, then autonomous control capability is enhanced, but the gap between monitoring methods and control methods prevents effective utilization
Solution Approach 1:
The patent develops a universal distribution factors-based methodology that serves multiple functions: monitoring line flows, assessing N−1 contingencies, optimizing generation dispatch, and managing load. This multi-functional approach allows smart distributed sensors and controllers to be effectively utilized across all these applications without requiring separate complex methodologies for each function, reducing integration complexity while enhancing autonomous control capability.
Data Source
AI summary
Autonomous, self-adjusting, and distributed line flow processing for a network having nodes with branches coupling adjacent ones of the nodes and components coupled to the nodes. Systems, methods, and software made in accordance with this disclosure can be used to identify where power flows can exceed the maximum transfer limit in each line and to enable automated adjustments in order to avoid such conditions. These can be useful tools for both system operators of large electrical networks and for implementing automated schemes to ensure network feasibility in micro-grids or other networks with many smart components embedded with communications and/or computation capabilities.