Microgrid Management System Autonomous Generation Control
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Solution Overview
Problem
Microgrid energy systems require continuous monitoring and control to maintain power balance and stability, especially during transitions between grid-connected and islanded modes, which currently necessitates 24/7 operator intervention, posing a challenge for unsupervised operation.
Innovation Solution
A Microgrid Management System (MGMS) with a Smart Generation Control (SGC) system that communicates with resources and loads, monitors system conditions, determines control set points, and transmits commands to manage active power control, enabling autonomous operation and reducing the need for continuous human oversight.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If conventional Automatic Generation Control (AGC) with human operators is used, then power balance and stability can be maintained, but continuous 24/7 operator intervention is required, reducing automation
Solution Approach 1:
The MGMS is designed to autonomously monitor microgrid operating conditions, evaluate system status, and implement control actions without requiring continuous human intervention. The system performs self-service by automatically detecting deviations from desired operating parameters and executing corrective actions through the smart generation control application, thereby achieving unsupervised operation while maintaining power balance and stability.
Solution Approach 2:
The system continuously monitors microgrid operating conditions including frequency, interchange, schedule, and area control error (ACE). This real-time feedback enables the smart generation control application to evaluate current system status and automatically adjust generation resources to maintain power balance and stability, resolving the contradiction between automation and reliability.
2Ease of operation
If smart generation control with automatic evaluation and control actions is implemented, then operator intervention is reduced, but system complexity increases
Solution Approach 1:
The MGMS integrates multiple functions including monitoring, evaluation, and control actions within a single smart generation control application. This multi-functional approach consolidates complex operations into one unified system that can handle various microgrid operating conditions (grid-connected and islanded modes) and perform different control tasks (frequency control, interchange control, voltage control) without requiring separate dedicated systems for each function.
Solution Approach 2:
The smart generation control application serves as an intermediary between the physical microgrid components and the human operators. It automatically processes operating conditions, evaluates system status, and implements control actions, thereby simplifying the interaction between the complex microgrid system and human users while enabling unsupervised operation.
3Reliability
If seamless transitions between grid-connected and islanded modes are enabled, then reliability is improved, but control precision requirements increase
Solution Approach 1:
The smart generation control application performs preliminary evaluation of operating conditions and prepares control actions in advance of mode transitions. By continuously monitoring frequency, interchange, and area control error (ACE) parameters, the system proactively adjusts generation resources before transitions occur, ensuring seamless switching between grid-connected and islanded modes while maintaining precise frequency and interchange control throughout the transition process.
Data Source
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AI summary
Embodiments provide systems, methods and apparatus for improved generation control for microgrids. Embodiments include providing a microgrid management system (MGMS) having a smart generation control (SGC) system in communication with a plurality of resources and loads, wherein the resources and loads are coupled to a microgrid transmission line that is couplable to a macrogid transmission line; performing prepressing of the resources; determining current frequency, interchange, schedule, and area control error (ACE); monitoring and controlling the microgrid based on a system mode, a control mode, and system status; deriving a set point for active power control of resources; and transmitting control commands. Numerous other aspects are provided