Reactive Power Control Using Predictive Input Variation Smoothing
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Solution Overview
Problem
Existing reactive power supplier control technologies do not effectively minimize the variation of input across time periods, leading to increased wear and reduced lifetime due to frequent switching of reactance elements, exacerbated by the integration of renewable energy sources which increase voltage variation.
Innovation Solution
A reactive power supplier control device that performs optimal power flow calculations using current and future information, power system installations, and objective functions to minimize input variation, incorporating constraint expressions that accumulate and manage reactive power supplier variations across multiple time steps.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Stability of the object's composition
If the input of the reactive power supplier is adjusted frequently to maintain voltage stability in the power system, then the voltage stability is improved, but the lifetime of the reactive power supplier is reduced due to increased switching wear
Solution Approach 1:
The control device performs optimal power flow calculations using current and future information to determine control commands in advance, minimizing input variation over the entire operation time period before execution, rather than reacting to voltage variations as they occur
Solution Approach 2:
The system dynamically adjusts the reactive power supplier input based on optimized control commands that account for future system conditions, allowing flexible adaptation while minimizing unnecessary switching actions through predictive optimization
2Adaptability or versatility
If renewable energy sources are integrated into the power system to increase renewable energy usage, then the renewable energy penetration is improved, but the voltage variation increases which leads to more frequent switching
Solution Approach 1:
The control device uses future information and predicted system states as feedback to optimize control commands, incorporating anticipated voltage variations from renewable energy sources into the optimization calculation to pre-compensate for their impact
Solution Approach 2:
By calculating optimal control commands in advance using future information, the system proactively compensates for expected voltage variations caused by renewable energy integration, smoothing out variations before they occur
3Duration of action of stationary object
If optimal power flow calculations are performed using accumulated variation constraints to minimize input variation, then the lifetime of the reactive power supplier is extended, but the computational complexity increases
Solution Approach 1:
The control approach segments the operation time period into discrete time steps, accumulating input variations step by step, which breaks down the complex optimization problem into manageable segments that can be handled computationally
Data Source
AI summary
Current information is information on a current time step for a power system including a reactive power supplier. A plurality of pieces of future information are a plurality of pieces of information on a plurality of future time steps for the power system. Power installation information is information on installations constituting the power system. An optimal power flow problem is formulated by an objective function and a plurality of constraint expressions based on the current information, the plurality of pieces of future information, and the power installation information. The control command is set based on a variable determined by the optimal power flow. In at least one of the objective function and the plurality of constraint expressions, amounts of variation of an input of the reactive power supplier at the current step and the plurality of future steps of the reactive power supplier are accumulated.