Distribution Grid OPF Control Setpoints Across Multi-Phase Topologies
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Solution Overview
Problem
The increasing complexity of distribution grids due to the integration of renewables and distributed energy resources poses challenges in determining optimal control setpoints, leading to potential overloads and voltage deviations, which existing operator policies may not adequately address.
Innovation Solution
A processing system that uses optimal power flow (OPF) techniques to determine distribution system settings by retrieving topology data, identifying phases, and performing OPF processing based on identified phases and equipment models, allowing for the automation of line admittances and consideration of various power equipment configurations, including time-coupling equipment like EV charging stations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If operator policies are used to determine control setpoints, then the approach is simple and adequate for conventional systems, but it becomes sub-optimal and inadequate for complex distribution grids with renewables and DERs
Solution Approach 1:
The patent replaces manual operator policy-based determination with automated optimal power flow (OPF) processing. The system uses a processing system with processing circuits that automatically retrieve topology data, identify phases, perform OPF calculations, and generate control setpoints, substituting human judgment with computational optimization algorithms that can handle complex renewable integration scenarios.
Solution Approach 2:
The system enables self-service by allowing the distribution management system to automatically determine optimal control setpoints without relying on operator policies. The OPF processing autonomously analyzes grid topology, equipment configurations, and operational constraints to generate optimal settings for distribution system components.
2Reliability
If automated OPF processing is implemented, then optimal control setpoints can be determined for complex distribution grids, but the device complexity and implementation difficulty increase due to various phase configurations and equipment topologies
Solution Approach 1:
The patent implements a universal processing system that can handle multiple phase configurations (single-phase, two-phase, three-phase) and various equipment types through a single OPF processing framework. The system retrieves topology data that describes the specific configuration and adapts the OPF calculations accordingly, eliminating the need for separate processing systems for different grid configurations.
Solution Approach 2:
The system manages complexity by dynamically adjusting parameters based on the retrieved topology data. The processing circuits identify the number of phases, impedance values, and equipment configurations from the topology data and modify the OPF processing parameters accordingly, allowing the same system to optimally handle diverse distribution grid configurations without hardcoding for each scenario.
3Adaptability or versatility
If manual determination of control setpoints is used, then human operators can apply experience and judgment, but human-introduced errors and inconsistencies increase
Solution Approach 1:
The system incorporates feedback mechanisms where the OPF processing continuously evaluates the impact of control setpoints on grid performance metrics such as voltage levels, power losses, and equipment loading. The processing circuits retrieve actual grid state data, perform optimization calculations, and adjust control setpoints based on feedback from grid measurements, ensuring consistent and accurate determination without human error.
Data Source
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AI summary
Processing methods and processing systems (20) are provided which are operative to determine settings based on optimal power flow processing (31) at the distribution level.