因應未來能源轉型，再生能源與儲能將大量併入電網中，雖相對於原先電力系統調度變得更加多元及彈性，但整體上調度也變得更為複雜，為了減輕調度人員負擔及減少人為錯誤，並以強化電網韌性為主要目標，電網亟需整合相關資訊，來確保穩定供電、提升運轉效率及增強可靠度與穩定性。
為此，本研究建置一套電網級能源管理與運轉排程系統，能源管理方面，透過IEC61850、DNP3.0、HTTP、Modbus TCP及FTP等通訊協議，整合研究場域中發電、負載、再生能源與儲能系統等多項電力監控系統，使其電網運轉數據可視化，亦可針對儲能系統發出監控指令，使其動作或改變運作模式，提供適合當下電網所需之功能。運轉排程方面，藉由滾動式的負載預測與再生能源預測，推估電網未來運轉狀態，並使用本研究提出之調度模型，提供每個時段的運轉排程及調度建議，協助系統調度人員提早了解可能面臨之情境，以利提高電網穩定性。
此外，本研究系統採用並行備援協定(Parallel Redundancy Protocol, PRP)網路備援機制與複聯式架構，平時僅由線上主機負責維持資料處理、運算與指令發布等工作，當備援主機偵測到線上主機失效時，備援主機短時間內自動取代原線上主機完整功能，提高整體系統穩定性。

In response to the energy transition in the future, renewable energy and energy storage will be integrated into the grid massively. Although it has become more diversified and flexible than the original power system dispatch, the overall scheduling has become more complicated. In order to reduce the burden on dispatchers, reduce human error, and strengthen grid resilience, the power grid needs to integrate relevant information to ensure stable power supply, improve operating efficiency, and enhance reliability and stability.
For this purpose, this thesis builds a system with grid-scale energy management and operation scheduling. In terms of energy management, integrate multiple power monitoring systems in the research field such as power generation, load, renewable energy and energy storage through IEC61850, DNP3.0, HTTP, Modbus TCP and FTP. It can visualize the power grid operation data, issue monitoring commands for the energy storage system to make it operate or change the operation mode, and providing suitable functions for the current grid needs. In operation scheduling, estimate the future operation status of the power grid with rolling load forecast and renewable energy forecast. And propose the scheduling model to provide operation scheduling and dispatch suggestions for each period. Assist system dispatchers to understand possible situations which will be faced in advance to improve the stability of grid.
In addition, this thesis system adopts parallel redundancy protocol(PRP), network redundancy mechanism and multiple connection architecture. The online host is usually responsible for maintaining data processing, calculations and command issuance. When the redundant host detects the failure of the online host, the redundant host will automatically replace the original online host to improve the stability of overall system.

[1] 吳進忠（2018年）。再生能源併聯運轉對電力調度的挑戰與機會。檢自https://www.ctci.org.tw/media/6359/01%E5%86%8D%E7%94%9F%E8%83%BD%E6%BA%90%E4%BD%B5%E8%81%AF%E9%81%8B%E8%BD%89%E5%B0%8D%E9%9B%BB%E5%8A%9B%E8%AA%BF%E5%BA%A6-%E5%90%B3%E9%80%B2%E5%BF%A0.pdf (Oct. 6, 2020)
[2] 張忠良(2020年3月)。智慧電網發展與再生能源監控實務。檢自http://www.cie.org.tw/cms/JournalFiles/10903_chapter05.pdf (Oct. 11, 2020)
[3] REN21, Renewables 2020 Global Status Report. Retrieved from https://www.ren21.net/wp-content/uploads/2019/05/gsr_2020_full_report_en.pdf (Oct. 13, 2020)
[4] IEC 62446-1 (2016), Photovoltaic (PV) systems - Requirements for testing, documentation and maintenance - Part 1: Grid connected systems - Documentation, commissioning tests and inspection
[5] IEC 61724-1ed1.0 (Mar. ,2017), Photovoltaic System Performance - Part 1: Monitoring.
[6] IEC 62446-2 (2020), Photovoltaic (PV) systems - Requirements for testing, documentation and maintenance - Part 2: Grid connected systems - Maintenance of PV systems
[7] Ma, M., Liu, H., Zhang, Z., Yun, P., & Liu, F. (2019). Rapid diagnosis of hot spot failure of crystalline silicon PV module based on IV curve. 68 Microelectronics Reliability, 100, 113402.
[8] Karimi, A. M., Fada, J. S., Liu, J., Braid, J. L., Koyutürk, M., & French, R. H. (2018, June). Feature extraction, supervised and unsupervised machine learning classification of PV cell electroluminescence images. In 2018 IEEE 7th World Conference on Photovoltaic Energy Conversion (WCPEC)(A Joint Conference of 45th IEEE PVSC, 28th PVSEC & 34th EU PVSEC) (pp. 0418-0424). IEEE.
[9] Hazra, A., Das, S., & Basu, M. (2017). An efficient fault diagnosis method for PV systems following string current. Journal of Cleaner Production, 154, 220-232.
[10] Dhimish, M., Holmes, V., Mehrdadi, B., & Dales, M. (2017). Simultaneous fault detection algorithm for grid-connected photovoltaic plants. IET Renewable Power Generation, 11(12), 1565- 1575.
[11] Youssef, A., El-Telbany, M., & Zekry, A. (2017). The role of artificial intelligence in photo-voltaic systems design and control: A review. Renewable and Sustainable Energy Reviews, 78, 72-79
[12] IEA, Energy Storage – Analysis. Retrieved from https://www.iea.org/reports/energy-storage (Oct. 25, 2020)
[13] HaishengChen, Thang Ngoc Conga , Wei Yanga ,Chunqing Tan, Yongliang Li, Yulong Ding. Progress in electrical energy storage system: A critical review
[14] International Renewable Energy Agency(IRENA). (Jun., 2015), Renewables and Electricity Storage: A technology roadmap for REmap 2030
[15] 台灣水泥。乾淨能源- 光風熱天然綠電大動力儲能｜台泥企業永續發展。檢自https://www.taiwancement.com/tw/csr0-4.html(Nov. 2, 2020)
 
[16] Meikang Qiu, Hai Su, Min Chen; Zhong Ming, Laurence T. Yang. (May, 2012). Balance of security strength and energy for a PMU monitoring system in smart grid
[17] 李國楨。淺談特殊保護系統(Special Protection System；SPS)。電驛協會會刊24期。檢自http://www.relay.org.tw/page08/no24/06.pdf (Nov. 5, 2020)
[18] 台灣電力公司(2020年7月)。配電級再生能源監控設備雲端資料系統試驗及管理規範。檢自https://www.taipower.com.tw/upload/123/2021011514315169391.pdf(Nov. 8, 2020)
[19] IEC 61850 (2020), SeriesCommunication networks and systems for power utility automation - ALL PARTS
[20] 彩普科技。智慧電網系統工程：變電所自動化解決方案。檢自http://www.truepower.com.tw/system-solution/smart-grid-engineering/( Nov. 11, 2020)
[21] 董道廷(2017年8月)。電力系統短期負載預測。
[22] IEC 62439-3(2016), Industrial communication networks - High availability automation networks - Part 3: Parallel Redundancy Protocol (PRP) and High-availability Seamless Redundancy (HSR)