透過您的圖書館登入
IP:52.14.230.29
  • 學位論文

離島電力系統防禦機制與風力占比影響之研究

Study of the Defense Mechanism and Wind Power Penetration Effects on Islanding Power Systems

指導教授 : 吳元康
若您是本文的作者,可授權文章由華藝線上圖書館中協助推廣。

摘要


本論文將針對離島獨立系統進行智慧型防禦機制、風力最大占比分析以及後續系統保護的規劃,並建置一套防禦以及預警機制。本論文以澎湖、金門及馬祖系統為例,驗證本研究所提出之防禦系統及風力占比的可行性以及預測的精確度。本論文首先以澎湖、金門及馬祖系統實際運轉資料為例,利用PSS/E批次模擬系統於不同運轉下所產生的各項模擬數據,並進而建立系統資料庫。接著,本論文藉由系統模擬獲得發生全風力發電機跳機及機組跳機事故後的頻率響應數據,並且利用倒傳遞類神經網路設計智慧型預測系統,有效的預測當系統發生各種擾動時的頻率響應,藉此規劃系統相應的保護策略,包含發電機組重新調度、增加柴油機組數目、提升或降低風力發電機的併入台數、或是執行智慧型的低頻卸載策略。 本論文的主要目的在於改善目前離島系統的供電穩定性,由模擬結果顯示,本文提出之類神經網路可準確地估測頻率最低點、頻率變動率、維持系統穩定運轉前提下須要卸除的最小負載量以及風力最大的占比。本論文的研究成果可提供調度人員作預防性調度及最佳卸載的規劃。

並列摘要


This thesis develops an intelligent defense mechanism, the maximum wind penetration, and system protection planning, as well as establishes an alarm strategy for isolated island systems. This thesis takes Penghu, Kinmen and Mazu systems as examples to identify the feasibility of the proposed defense system, wind penetration and the forecasting accuracy. First, this thesis uses the actual operational data measured in Penghu, Kinmen and Mazu systems; then creates an online database by implementing various simulation analyses under different operational patterns. The software, namely PSS/E, was utilized to perform the simulation, and we design a number of diesel generator tripping accidents to acquire the results of frequency responses by simulation. Next, this thesis designs the intelligent forecasting system by using back propagation artificial neuron network (BPANN) that can effectively predict system frequency response once all of wind turbines tripping or a diesel generator tripping occurs. The forecasting results can assist in planning corresponding system protection strategies, including generator rescheduling, increase of the number of diesel generator units, increase or reduce the number of wind turbines into the grid , or performing optimized low-frequency load shedding strategy. The main target of this thesis is to improve the system stability on the remote island systems. The simulation results show that the proposed BPANN can accurately estimate frequency nadir, rate of frequency change, the minimum load shedding amount under stable operation, and the maximum wind penetration. The results of the thesis can provide the system operator with a reference relative to the preventive dispatch and the plan of load shedding.

參考文獻


[22] 張銘仁,應用類神經網路於高占比風能電力系統中發電機跳機之最低頻率預測,碩士論文,臺北科技大學電機工程系,臺北,2013。
[1] J. Kabouris and N. Hatziargyriou, “Wind power in greece—Current situation future developments and prospects,” in Proc. IEEE PES General Meeting, Montreal, Canada, Jun. 2006.
[2] G. Lalor, J. Ritchie, S. Rourke, D. Flynn, and M. O’Malley, “Dynamic frequency control with increasing wind generation,” in Proc. IEEE Power Eng. Society General Meeting, Denver, CO, Jun. 2004.
[3] I.D. Margaris, et al, “Methods for evaluating penetration levels of wind generation in autonomous systems,”2009 IEEE Power Tech, 2009.
[4] D. A. Halamay, et al, “Reserve requirement impacts of large-scale integration of wind, solar, and ocean wave power generation,” IEEE Transactions on Sustainable Energy, vol.2, Iss.3 pp.321-328, Jul. 2011.

延伸閱讀