基于改进麻雀搜索算法的新型电力系统负荷频率控制研究

Q4 Engineering

Measurement Sensors Pub Date : 2025-05-01 DOI:10.1016/j.measen.2024.101432

Yuxin Zhang, Xueyao Wang, Xiangchen Qian, Yifan Wang, Xingxing Zeng, Qin Wang

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引用次数: 0

摘要

为了提高电能质量和电力系统的稳定性，引入了负荷频率控制（LFC）。负荷频率控制的对象已转变为具有随机性、间歇性和波动性等特点的可再生能源参与的新型电力系统。在互联电力系统中，负荷频率的控制在实际功率、频率和链路功率的控制中起着重要的作用。本文主要构建风能、太阳能、热能和储能三区互联电力系统模型，将模糊控制与比例积分导数（PID）控制相结合，构建模糊PID控制器，以性能指标时间绝对误差积分（ITAE）作为目标函数，采用改进的Sparrow搜索算法对模糊控制器的比例参数和PID控制器的初值进行优化。系统的频率偏差和接触线偏差被控制在较小的范围内。

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Research on load frequency control of new power system based on improved sparrow search algorithm

To improve power quality and power system stability, load frequency control (LFC) is introduced. The object of load frequency control has been transformed into a new power system with the participation of renewable energy sources with characteristics such as randomness, intermittentness, and volatility. In the interconnected power system, the control of load frequency plays an important role in the control of actual power, frequency, and link power. This paper mainly constructs a three-region interconnected power system model of wind, solar, thermal, and storage, combines fuzzy control and Proportional-Integral-Derivative (PID) control to build a fuzzy PID controller, uses the performance index time absolute error integral (ITAE) as the objective function, and an improved Sparrow search algorithm is used to optimize the proportional parameters of the fuzzy controller and the initial values of the PID controller, and the frequency deviation and the contact line deviation of the system are controlled in a smaller range.

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