Power Management Controller Algorithm Selection for Demand Fluctuation
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Solution Overview
Problem
Existing power management systems for electricity utilities face challenges in achieving optimal supply/demand balance due to limitations in storage battery capacity and output, leading to potential power shortages and high compensatory payments when actual power usage deviates from planned values.
Innovation Solution
A power management system comprising a server, storage battery, and controller that predicts daily power demand, adjusts supply/demand balance by charging/discharging the battery, and selects an optimal charging/discharging algorithm based on fluctuation calculations to minimize compensatory payments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If the electricity utility uses a small storage battery for power supply, then the device complexity is reduced, but the reliability of power supply deteriorates when actual usage deviates from planned value
Solution Approach 1:
The system performs preliminary prediction of power usage values before the actual consumption occurs. The prediction unit forecasts power demand based on historical data and patterns, allowing the control unit to pre-adjust battery charging/discharging strategies, thereby ensuring reliable power supply without requiring large-scale generation facilities.
Solution Approach 2:
The control unit continuously monitors actual power usage and compares it with predicted values, then adjusts battery charging/discharging operations in real-time. This feedback mechanism enables the small battery system to adapt to demand fluctuations and maintain supply reliability despite its limited capacity.
2Reliability
If the electricity utility purchases power from the power company to cover demand, then the power supply reliability is improved, but the loss of energy increases due to expensive compensatory payments
Solution Approach 1:
The system predicts power usage values in advance and adjusts battery charging/discharging operations before peak demand occurs. This preliminary action reduces the need for expensive compensatory power purchases from the power company, thereby lowering energy losses while maintaining supply reliability.
Solution Approach 2:
The control unit dynamically changes operating parameters (battery charge/discharge rates, power purchase timing) based on predicted usage patterns. By optimizing these parameters, the system minimizes costly compensatory payments while ensuring continuous power supply, thus reducing overall energy loss.
3Reliability
If the electricity utility increases reserve power supply capacity, then the reliability of power supply during demand fluctuations is improved, but the loss of substance increases due to unused reserve capacity
Solution Approach 1:
The system dynamically adjusts battery charging/discharging operations based on real-time and predicted power usage patterns. This dynamic control allows the small battery system to provide adequate reserve capacity only when needed, eliminating the waste associated with maintaining large static reserve power supplies.
Solution Approach 2:
The control unit continuously adjusts operational parameters (charge/discharge rates, state of charge) based on predicted demand and actual usage. This parameter optimization ensures the battery maintains sufficient reserve capacity for reliability while minimizing unused capacity, thereby reducing the loss of substance.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system effectively reduces compensatory payments by optimizing power supply/demand balance through dynamic charging/discharging control, leveraging the storage battery's capacity and output to align actual usage with planned values.
Implementation Method 1
a storage battery; the controller adjusts a supply/demand balance of power in the consumer's facility by charging/discharging the storage battery
Data Source
AI summary
In a power management system, a server determines a planned value of demand for power in a consumer's facility, and a controller adjusts a supply/demand balance of power in the consumer's facility by charging/discharging a storage battery in accordance with the planned value. The server provides the planned value to the controller, and the controller calculates a predicted value of actual power usage in the consumer's facility at a unit time expiration, calculates an extent of fluctuation of the planned value and the predicted value, and selects a charging/discharging control algorithm to use for the storage battery for the following day based on the extent of fluctuation.