Utility Distribution Control System for Grid Congestion Management
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Solution Overview
Problem
Utility service networks experience congestion and reliability issues due to equipment failures and overloads, which are exacerbated by time and temperature variations, necessitating a method to minimize congestion and maximize reliability.
Innovation Solution
A utility distribution control system that utilizes an energy distribution network with energy storage and generation devices, controlled by a centralized system, to manage energy distribution dynamically, incorporating real-time situational awareness and machine-to-machine interfaces, enabling smart storage and generation units to react to congestion and promote self-healing in the grid.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If energy is transmitted through existing utility service networks, then energy distribution is provided, but congestion and reliability issues occur due to equipment failures and overloads
Solution Approach 1:
The patent segments the energy distribution system by introducing distributed energy resources (DERs) and energy storage systems (ESS) at local levels, creating multiple independent energy pathways. This segmentation allows local energy generation and storage to operate autonomously, reducing dependency on centralized transmission and preventing congestion propagation across the entire network.
Solution Approach 2:
The patent implements preliminary action through proactive congestion management using real-time monitoring and predictive analytics. The system anticipates potential overloads by analyzing historical data and weather patterns, pre-positioning energy storage resources in congestion-prone areas before peak demand periods occur, thereby preventing congestion rather than reacting to it.
2Reliability
If energy storage and generation devices are distributed throughout the network, then congestion is minimized and reliability is enhanced, but system complexity increases
Solution Approach 1:
The patent applies universality by designing a standardized control architecture that manages diverse energy resources (solar, wind, battery storage, demand response) through a common platform. This universal control system handles multiple resource types and operational modes uniformly, reducing the complexity that would otherwise arise from managing each resource type separately with dedicated control systems.
Solution Approach 2:
The patent implements comprehensive feedback mechanisms where distributed energy resources continuously report status, performance, and operational conditions to the centralized control system. Real-time feedback enables dynamic adjustment of control parameters, automated response to changing conditions, and predictive maintenance scheduling, thereby managing system complexity through intelligent closed-loop control rather than requiring overly complex open-loop systems.
3Productivity
If real-time monitoring and control is implemented, then congestion is detected and managed proactively, but infrastructure investment and operational costs increase
Solution Approach 1:
The patent enables self-service through automated control algorithms that independently manage energy flow, congestion mitigation, and resource dispatch without requiring constant human intervention. The system autonomously responds to changing conditions by adjusting DER output, ESS charging/discharging cycles, and demand response activations, reducing operational costs by eliminating the need for extensive manual monitoring and control personnel.
Solution Approach 2:
The patent utilizes parameter changes by dynamically adjusting operational parameters (voltage levels, frequency, power factor, charge/discharge rates) of distributed energy resources based on real-time network conditions. This flexible parameter adjustment allows the system to optimize performance and manage congestion using existing resource capabilities rather than requiring continuous capital investment in new infrastructure, thereby improving productivity while controlling operational costs.
Data Source
AI summary
A utility distribution control system and method for performing distribution control of energy within a utility service network including an energy distribution network in communication with a plurality of energy resources. The energy distribution network includes a plurality of energy storage and generation devices which receive energy from at least one of the energy resources of the plurality of resources and distribute energy, and a controller which controls the plurality of energy storage and generation devices, to distribute energy.