AMI Voltage Stabilizer Control for Variable Grid Loads
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Solution Overview
Problem
Existing electric power systems face challenges in optimizing voltage to accommodate high variation distributed generation and loads, such as photovoltaic generation, distributed storage, inverters, electric vehicle charging, and microgrids, which affects the reliability and efficiency of energy delivery.
Innovation Solution
A method and system for controlling electric power systems using advanced metering infrastructure (AMI)-based data analysis to optimize secondary voltages, allowing for direct control of customer-level voltages to enhance compatibility with variable loads. This involves locating loads with common voltage connections, building primary load connections, characterizing loads using linear models, and controlling independent voltage variables to maximize circuit responsiveness to load variations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If voltage is optimized for traditional loads, then energy efficiency is improved, but compatibility with high variation distributed generation and loads deteriorates
Solution Approach 1:
The system dynamically adjusts voltage optimization strategies based on real-time load characteristics and distributed generation output. By transitioning from static voltage optimization to dynamic adaptive control, the system can switch between energy efficiency mode and compatibility mode depending on the proportion and variability of distributed generation, thereby resolving the contradiction between energy efficiency and adaptability.
Solution Approach 2:
The system changes operational parameters (voltage setpoints, control objectives) based on the state of distributed generation and loads. When distributed generation penetration is high, the system prioritizes compatibility by allowing wider voltage variations; when distributed generation is low, it prioritizes energy efficiency by maintaining tighter voltage control. This parameter adaptation resolves the contradiction by making the optimization target variable rather than fixed.
2Stability of the object's composition
If voltage control is centralized, then system stability is improved, but responsiveness to local load variations deteriorates
Solution Approach 1:
The system segments the distribution network into multiple voltage control zones, each with its own control objectives and parameters. Local controllers within each zone can respond quickly to load variations, while the central system coordinates between zones to maintain overall stability. This segmentation allows simultaneous achievement of local responsiveness and global stability.
Solution Approach 2:
The system implements multi-level feedback mechanisms where local controllers continuously monitor and respond to voltage deviations caused by load variations, and the central system receives aggregated feedback to adjust overall voltage optimization strategies. This feedback structure enables both rapid local response and coordinated system-wide stability management.
Data Source
AI summary
A method, apparatus, system and computer program is provided for controlling an electric power system, including implementation of a voltage control and conservation (VCC) system used to optimally control the independent voltage and capacitor banks using a linear optimization methodology to minimize the losses in the EEDCS and the EUS. An energy validation process system (EVP) is provided which is used to document the savings of the VCC and an EPP is used to optimize improvements to the EEDCS for continuously improving the energy losses in the EEDS. The EVP system measures the improvement in the EEDS a result of operating the VCC system in the “ON” state determining the level of energy conservation achieved by the VCC system. In addition the VCC system monitors pattern recognition events and compares them to the report-by-exception data to detect HVL events. If one is detected the VCC optimizes the capacity of the EEDS to respond to the HVL events by centering the piecewise linear solution maximizing the ability of the EDDS to absorb the HVL event. The VCC stabilizer function integrates voltage data from AMI meters and assess the state of the grid and initiates appropriate voltage control actions to hedge against predictable voltage risks.