Distributed Virtual Grid Control for Renewable Voltage Stability
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Solution Overview
Problem
Traditional utility power grids face challenges in managing distributed renewable energy sources and reactive power, leading to grid voltage control issues and instability, particularly due to the integration of solar and wind power, which can exceed demand and cause strain on the grid infrastructure, resulting in rolling brownouts and blackouts.
Innovation Solution
A distributed grid control system with hierarchical organization, where multiple independent control nodes manage points of common coupling, enabling real-time monitoring and adjustment of active and reactive power consumption and generation, allowing for dynamic grid support and compliance with regulatory standards, thereby stabilizing the grid and optimizing energy distribution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Power
If distributed renewable energy sources (solar and wind power) are integrated into the grid, then energy generation capacity is improved, but grid voltage control and stability deteriorate
Solution Approach 1:
The patent segments the grid into multiple control regions, each managed by independent control nodes that monitor and adjust local power flow and voltage levels. This distributed control structure allows renewable energy sources to be integrated locally without compromising overall grid stability, as each segment can independently respond to voltage fluctuations and power imbalances.
Solution Approach 2:
The patent implements real-time feedback mechanisms where control nodes continuously monitor grid conditions including voltage levels, power flow, and renewable energy generation. Based on this feedback, the system dynamically adjusts reactive power compensation and power flow distribution to maintain voltage control and stability while accommodating variable renewable energy input.
2Productivity
If renewable energy generation exceeds demand, then energy production is improved, but grid infrastructure strain increases leading to brownouts and blackouts
Solution Approach 1:
The patent employs predictive analytics and forecasting capabilities that allow control nodes to anticipate renewable energy generation levels and demand patterns in advance. By performing preliminary actions such as pre-adjusting reactive power compensation, pre-scheduling energy storage charging/discharging, and pre-coordinating power flow redistribution, the system prevents infrastructure strain before it occurs, avoiding brownouts and blackouts even when generation exceeds demand.
3Reliability
If centralized management controls the grid, then voltage regulation is improved, but adaptability to distributed renewable energy sources deteriorates
Solution Approach 1:
The patent divides centralized grid management into multiple distributed control nodes, each empowered to make local decisions about voltage regulation and power flow. This segmentation maintains voltage control effectiveness while enabling each control node to independently adapt to local renewable energy generation patterns and load conditions, thus improving overall system adaptability.
Solution Approach 2:
The patent enables control nodes to autonomously manage their respective grid segments by locally detecting voltage deviations, assessing renewable energy availability, and implementing corrective actions without requiring constant centralized direction. This self-service capability enhances adaptability to distributed energy sources while maintaining voltage regulation through localized autonomous control.
Data Source
AI summary
Distributed grid intelligence can enable a virtual power grid. Multiple consumer nodes can have local power sources, and be coupled to a same point of common coupling (PCC). The consumer nodes can be controlled by distributed control nodes at the consumer nodes. The control nodes control the distribution of power from the local power sources based on local power demand of each respective consumer node, and also based on distribution of power from the other respective control node. Thus, consumer nodes can share power generated locally, but operate independently without the need for central management or a central power plant.