Distributed Generator Status Estimation from Feeder-Level Data
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Solution Overview
Problem
In distributed energy resource systems, particularly those with photovoltaic panels, geographic constraints and technical/economic considerations often prevent real-time monitoring of generators, leading to inefficient operation of local electricity distribution systems.
Innovation Solution
An electronic controller uses a model-based method with machine learning algorithms to estimate the operational status and generated electric power of inaccessible generators by acquiring output data from feeder levels, determining connection to the distribution system, and extrapolating data using parameters like solar irradiation and panel efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If real-time monitoring of generators is implemented, then operational reliability is improved, but communication infrastructure complexity and cost increase
Solution Approach 1:
The patent introduces an intermediary estimation system that uses measurable electrical parameters (voltage, frequency, power flow) at the PCC as proxies to infer the operational status of generators. This mediator approach allows monitoring without direct communication links to each generator, resolving the contradiction between reliability and infrastructure complexity
Solution Approach 2:
The patent replaces the physical communication infrastructure (mechanical/electrical communication links) with an estimation-based monitoring approach using electrical measurements. Instead of transmitting data through communication channels, the system infers generator status from electrical parameters at the PCC, substituting communication requirements with electrical measurement and estimation
2Productivity
If generators are placed in geographically isolated locations to maximize energy production, then energy output is improved, but monitoring capability deteriorates
Solution Approach 1:
The PCC serves as an intermediary measurement point that captures information about generator performance indirectly. By measuring electrical parameters at this intermediate location, the system recovers monitoring information without requiring direct access to geographically isolated generators, thus maintaining both energy output and monitoring capability
Solution Approach 2:
The patent shifts the monitoring perspective from the generator location dimension to the PCC measurement dimension. Instead of monitoring at the source (generator), the system observes the effects of generator operation at the PCC, changing the spatial dimension of monitoring to overcome geographic isolation
3Measurement precision
If direct monitoring of each generator is implemented, then measurement precision is improved, but system complexity and cost increase
Solution Approach 1:
The patent merges the monitoring of multiple generators into a unified estimation process based on aggregate measurements at the PCC. Instead of separate monitoring systems for each generator, the system combines information from voltage, frequency, and power flow measurements to estimate the collective operational status, reducing complexity while maintaining measurement precision through estimation algorithms
Data Source
AI summary
A method for monitoring a distributed energy generation system in an electrical system including a plurality of decentralized energy generation systems connected to a feeder line. The method includes, by an electronic controller of the electrical system: obtaining a model of a target decentralized energy generation system; acquiring output data from the decentralized energy generation system at a feeder level; determining if the target decentralized energy generation system is connected to the electrical distribution system; and determining, based on the acquired output data and the obtained model, the operational status and the generated electric power of the target decentralized energy generation system.