Inverter Predictive Control for Fast Primary Frequency Regulation
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Solution Overview
Problem
New energy power stations face challenges with poor frequency regulation precision, low frequency regulation speed, and low success rates in primary frequency regulation due to aging communication devices, leading to instability in power grid dynamics.
Innovation Solution
A networked control method that predicts primary frequency regulation potential using historical data and an inverter active power model, optimizing control sequences for inverters through model predictive control, and compensating for communication delays to improve frequency regulation accuracy and speed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional frequency regulation instruction method is used, then new energy power stations can participate in primary frequency regulation, but frequency regulation precision is poor and frequency regulation speed is low
Solution Approach 1:
The system performs predictive compensation by calculating optimal control sequences in advance based on the inverter active power model and communication delay characteristics. The predictive compensating optimal control sequence is generated before the actual control action is needed, allowing the system to pre-calculate the necessary control adjustments and apply them proactively to maintain frequency stability despite communication delays.
Solution Approach 2:
The system implements a closed-loop feedback mechanism where the actual frequency regulation effect is continuously monitored and compared with the predictive control targets. Based on the feedback information about frequency deviations and regulation performance, the system dynamically adjusts subsequent predictive control strategies to improve both precision and speed of frequency regulation.
2Reliability
If frequency regulation control is sent to executing devices, then control instructions can be transmitted, but communication device aging causes delays and reduces primary frequency regulation success rate
Solution Approach 1:
The system compensates for communication delays by calculating the predictive compensating optimal control sequence in advance, taking into account the known communication delay characteristics. The control sequence is pre-adjusted to account for the time lag, so that when the control instruction finally reaches the executing device, it is already optimized for the current system state rather than a delayed past state.
Solution Approach 2:
The system prepares backup control strategies and predictive compensating sequences in advance to cushion against potential communication failures or delays. By having pre-calculated optimal control sequences ready, the system can quickly switch to alternative control paths if communication issues occur, maintaining regulation success rate despite aging communication devices.
Data Source
AI summary
A networked control method for primary frequency regulation of a new energy power station based on a source-grid-load-storage networked cloud decision control system platform comprises: determining, according to historical operating data of a new energy power station, primary frequency regulation predictive values of power generation units of the new energy power station; determining, according to the primary frequency regulation predictive values, optimal control sequences of inverters of the power generation units at different times based on a pre-established inverter active power model, wherein the optimal control sequences comprise multiple control quantities of active power of the inverters; marking the optimal control sequences at the different times with time scales, sending the optimal control sequences to executing devices of the power generation units, receiving the optimal control sequences, and determining whether to store or not store the optimal control sequences; and determining the control quantities to be executed.