本論文使用線性迴歸於具太陽能發電之高壓配電饋線電壓控制，提出利用系統運轉情境與智慧變流器自主控制經驗值，推估智慧變流器虛功率補償量，達到電壓控制。本研究使用MATLAB來建立二次變電所轄區配電系統與牛頓-拉弗森計算法。探討太陽能發電併網情況時，結合三種不同情境，觀察饋線電壓值，智慧變流器之電壓-虛功率控制情形。另外，探討實際運轉情況下，智慧變流器之電壓虛功率控制情形，分析饋線電壓分布及虛功率補償量。取得饋線電壓變化量及智慧變流器虛功率補償量數據後，設定線性迴歸輸入及輸出，以歸一化數據進行訓練及測試。藉由輸入不同的電壓量與運轉情境，線性迴歸法可以直接推估各併網點智慧變流器應有之虛功率補償量。比較智慧變流器自主調控與線性迴歸控制的差異，提出相關建議，期望能提供實務運轉上之助益。

The purpose of this thesis is to investigate linear regression to voltage control of distribution feeders with photovoltaic generation. In this thesis, the reactive power compensation by a smart inverter of photovoltaic can be evaluated with system operation situation and local control experience of smart inverter. And its objective is to achieve voltage control of feeders. In this study, we firstly established the distribution system and established the Newton-Raphson power flow calculation method program in the MATLAB. And then we discussed photovoltaic generation grid-connected situation. The situation combined three different scenarios. It is to observe the feeder voltage value and the voltage-var function of the smart inverter. In addtion, we considered operation situation. We analyzed the voltage profile and reactive power absorbing amount before and after volt-var control of smart inverters. Afterwards, we obtained feeder voltage variation and reactive power compensation of smart inverters. And then we setuped the input and output of the linear regression and perform data learning with normalized. The linear Regression method can directly estimate reactive power compensation of smart inverters of photovoltaic by inputting different voltages and operation situation. Finally, we compared the difference between smart inverter local control and linear regression control. We also proposed some related suggestion. It is expected to provide advantages in practical operation.

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