Zonal Grid Control for Decentralized Power Distribution Coordination
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Solution Overview
Problem
The increased complexity of modern power grids due to variable energy sources and bulk power electronic control devices poses challenges in centralized control, necessitating improved management and monitoring of numerous node points and circuit configurations.
Innovation Solution
The implementation of zonal autonomous control systems, which divide power grids into zones managed by zonal controllers, utilizing federated data fabrics for data fidelity and decentralized control, enabling efficient management and automation of both primary and secondary assets.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Stability of the object's composition
If centralized control is used to manage power grids, then control coordination is maintained, but system complexity and difficulty of managing numerous node points increase
Solution Approach 1:
The power grid is divided into multiple zones with autonomous control capabilities. Each zone operates independently with its own control logic, reducing the complexity of centralized management while maintaining overall system coordination through standardized inter-zone communication protocols.
2Device complexity
If zonal autonomous control is implemented, then system complexity is reduced and real-time control is improved, but control coordination across zones becomes more challenging
Solution Approach 1:
An intermediary communication layer is introduced between zonal controllers to facilitate coordination. This intermediary manages data exchange and control signaling between autonomous zones, maintaining system-wide coordination without requiring complex direct connections between all zones.
3Loss of information
If centralized control processes all grid data, then comprehensive monitoring is achieved, but data processing volume and computational bandwidth requirements increase
Solution Approach 1:
Data processing functions are extracted from the centralized control system and distributed to individual zonal controllers. Each zone processes its own data locally, extracting only essential information for inter-zone communication, thereby reducing overall data processing volume while maintaining comprehensive monitoring coverage.
4Adaptability or versatility
If more node points are added to power grids for variable energy sources, then energy source diversity is improved, but control and monitoring difficulty increases
Solution Approach 1:
The grid is segmented into zones that can independently manage diverse energy sources within their boundaries. This segmentation allows variable energy sources to be integrated at the zone level without propagating control complexity system-wide, maintaining adaptability while reducing monitoring difficulty.
Data Source
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AI summary
Provided herein is a power grid system comprising an advanced distribution management system (ADMS) and a distribution zonal measurement device configured to measure zonal distribution operational parameters for an assigned distribution zone of a plurality of distribution zones. Each of the plurality of distribution zones has an associated distribution zonal measurement device and a distribution zonal controller in communication with the distribution zonal measurement device and the ADMS. In some aspects, the distribution zonal controller is configured to receive distribution zonal operational data for the assigned distribution zone from the distribution zonal measurement device and determine a distribution zonal orchestration index based on the distribution zonal operational data. The distribution zonal controller is further configured to communicate the distribution zonal orchestration index to the ADMS and determine an adaptive control action for one or more distribution control devices in the assigned distribution zone based on the distribution zonal orchestration index.