Microgrid Dispatch Controller Using Renewable Capability Parameter
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Solution Overview
Problem
Current microgrid dispatch optimization techniques fail to accurately represent renewable power sources due to their intermittent nature, leading to impractical computational challenges and unnecessary commitment of non-renewable power sources, especially when considering complex operational constraints and real-time requirements.
Innovation Solution
A dispatch controller system that treats less-intermittent renewable sources as isochronous sources by using a 'renewable capability' parameter to adjust their power rating, allowing for a decomposed optimization formulation that considers these sources in real-time, thereby optimizing power generation and storage utilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If renewable power sources are treated as isochronous sources with fixed upper bounds, then frequency stability is improved, but the accuracy of representing renewable source behavior deteriorates due to intermittency
Solution Approach 1:
The patent applies dynamics by transitioning from static isochronous mode assumptions to dynamic control modes for renewable sources. The system dynamically adjusts between isochronous mode (for frequency stability) and non-isochronous mode (for accurate intermittency representation) based on real-time operating conditions, allowing renewable sources to adapt their behavior to match both stability requirements and actual physical characteristics.
Solution Approach 2:
The patent changes the operational parameters of renewable sources by introducing multiple control modes with different frequency response characteristics. The system modifies the frequency-behavior relationship of renewable sources dynamically, allowing them to operate in isochronous mode when stability is prioritized and in non-isochronous mode when accurate representation of intermittency is needed, thus resolving the contradiction between these two requirements.
2Measurement precision
If complex operational constraints are considered in optimization formulation, then solution accuracy is improved, but computational complexity increases making real-time application impractical
Solution Approach 1:
The patent segments the optimization problem into distinct control modes and time-based stages. By dividing the complex optimization into manageable segments (isochronous mode optimization, non-isochronous mode optimization, and hybrid mode optimization), the system can process each segment separately with appropriate computational methods, reducing overall complexity while maintaining solution accuracy through systematic decomposition of the problem structure.
Solution Approach 2:
The patent applies dynamics by implementing real-time adaptive optimization that adjusts computational depth based on operating conditions. The system dynamically selects between simplified and comprehensive optimization approaches depending on the specific operational context, allowing complex constraints to be considered only when necessary for real-time decision-making, thus balancing accuracy with computational feasibility.
3Device complexity
If isochronous mode is assumed for non-renewable sources, then frequency control is simplified, but flexibility in representing actual source behavior deteriorates
Solution Approach 1:
The patent applies universality by creating a unified control framework that can handle both isochronous and non-isochronous modes within a single system architecture. The optimization system is designed to universally accommodate different source types (renewable and non-renewable) and different operational modes, allowing the same control infrastructure to adapt to diverse behavior representation needs without requiring separate specialized systems for each case.
Data Source
AI summary
A microgrid including a renewable power source is optimized by treating the renewable source as operating in an isochronous mode, and by decomposing the optimization process. A renewable capability is defined for the renewable source to enable treatment of the renewable source as operating in an isochronous mode. The renewable capability may be based on a power rating of the renewable source. An objective function of the microgrid optimization problem may then be optimized while treating the renewable source as operating in an isochronous mode. A penalty factor may be applied to avoid power shortage.