微型電網智慧監視與控制;Smart monitoring and control plan for microgrid

NCUIR > College of Electrical Engineering & Computer Science > Department of Electrical Engineering > Research Project > Item 987654321/52711

Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/52711

Title:	微型電網智慧監視與控制;Smart monitoring and control plan for microgrid
Authors:	林法正
Contributors:	電機工程學系
Keywords:	孤島偵測;分散式發電機;反流器;最大功率點追蹤;islanding detection;distributed generators;inverter;maximum power point tracking;能源工程;電子電機工程類
Date:	2012-01-01
Issue Date:	2012-06-08 16:15:21 (UTC+8)
Publisher:	行政院原子能委員會
Abstract:	本計畫為達成微電網智慧監視與控制之目的及有效的電能管理與提升分散式發電系統使用效率，將設計一以工業級電腦(Industrial PC, IPC)為基礎之微電網控制器，並以CAN Bus作為分散式發電系統，如風力發電機(Wind Turbine Generator, WTG)及儲能系統，與IPC間之資料傳輸。待電力資訊收集完畢後使用微電網控制器之IEC60807-5-104通訊協定將微電網控制器之資訊傳送至市電端之區域調度中心，以利區域調度中心對各微電網系統作有效的能源分配與管理。另一方面，為使併網型轉換器能順利與市電併聯，將發展新型主動式孤島偵測法，並採用遞迴式類神經網路(Elman Neural Network, ENN)控制器來提升偵測性能。在風力發電機控制的部分，加入最大功率點追蹤(Maximum Power Point Tracking, MPPT)，以達到風能最有效的利用，另外也增加了低電壓穿越(Low Voltage Ride Through, LVRT)的能力，使風機在市電電壓下降時，能送虛功支持電壓，並在故障排除後幫助電壓恢復。同時本計畫將以數位信號處理器TMS230F28035發展磷酸鋰鐵電池儲能系統，藉由儲能系統儲存多餘電力，而當市電斷電，且分散式發電系統又無法提供足夠的電力時，利用儲能系統來提供適當的電量給負載。微電網控制部分，本計畫將利用PSIM軟體模擬分散式發電系統功率分配，並完成風力發電機併網、最大功率追蹤及低電壓穿越性能等功能之驗證。最後將藉由IEEE1547及UL1741所提供之測試方式以測試所發展之併網型分散式發電系統，使其具備孤島運轉與低電壓穿越之相關功能，並能符合相關之併聯標準與規範。 The objective of this project is to monitor and control microgrid using intelligent technologies and to improve the efficiency of power management for the distributed generation systems (DGs). An industrial PC (IPC)-based microgrid controller will be designed and CAN Bus will be adopted for internal data transmission between the DGs (e.g. wind turbine generator (WTG) and storage system) and the IPC. After the power information is collected completely, the data will be sent to the local dispatched control center (LDCC) of the power grid utilizing IEC60807-5-104 protocol module installed in the microgrid controller for the efficient power management of the microgrid system. Moreover, in order to connect the grid-connected converter with the grid smoothly, a novel method of active islanding detection algorithm adopted Elman neural network (ENN) controller will also be designed. In order to achieve the best efficiency of WTG, a new maximum power point tracking (MPPT) will be developed. Furthermore, when the grid voltage drops, a new low voltage ride through (LVRT) using reactive power will also be developed to feed reactive power to maintain the voltage and help to recover voltage after troubleshooting. In addition, this project will develop LiFePO4 storage system based on TMS320F28035 digital signal processor (DSP) to store electric power; when the grid is disconnected and DGs can’t provide enough power, the storage system will provide electric power to the load. Additionally, the project will use the PSIM simulation software to simulate the power dispatch and control of the microgrid system, and verify the MPPT and LVRT functions of the grid-connected WTG. Finally, in order to possessing the functions of islanding and LVRT and meeting the relevant interconnection standards, this project will verify the developed grid-connected DGs by using the offered test methodology in IEEE1547 and UL1741. 研究期間：10101~ 10112
Relation:	財團法人國家實驗研究院科技政策研究與資訊中心
Appears in Collections:	[Department of Electrical Engineering] Research Project

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