能源是人們生活中不可或缺的一部分，然而煤礦、石油等能源並非取之不盡，在被開採、使用後漸漸有了能源短缺的危機，還造成許多環境方面的問題，由於全球暖化加劇與能源危機議題日益嚴重，各國無法在忽視能源這個重要議題，紛紛針對「創能、儲能、節能」來進行研究，再生能源和儲能系統便成為了各國研究的重點。
再生能源的發電量與天氣有著極大的關係，不但無法根據用電需求而增減發電，還會在一天內有很大的變化，導致供電量與用電量無法平衡，造成電網的穩定度下降。這時就可以利用儲能系統將能量隨意儲存及釋放來調整不穩定的電網，也就是自動調頻控制。若頻率過高，表示供電過剩，就利用儲能系統將多餘的電力儲存起來，並在供電量不足、頻率過低的時候，將儲存的能量釋放出來，以此達到穩定電網的效果。
儲能系統因設置位置的不同，又分為錶前儲能與錶後儲能，常見的自動調頻控制都是以錶前儲能來運作，但考量到目前台灣多數地區的電網饋線都已被占滿，因此選擇錶後儲能來進行研究，以需量反應的方式達到自動調頻控制。
本研究假設儲能系統設置於工廠，撰寫一套利用錶後儲能完成靜態調頻(sReg)之控制策略，以典型的工廠用電負載曲線與夏、冬季的電網頻率資料來進行模擬，驗證本研究之控制策略運用於靜態調頻之可行性，並根據模擬結果來估算儲能系統所需的最大功率輸出和儲能電池容量。

Energy is an indispensable part of people's lives, but energy sources such as fossil fuel are not inexhaustible. The crisis of energy shortage after being exploited and used has caused many environmental problems. Due to global warming and energy crisis. Countries can’t ignore the issue of energy, and have conducted research on "energy creation, storage, and saving", and focus on renewable energy and energy storage systems.
The power generation of renewable energy has a great relationship with the weather. It’s impossible to change power generation according to power demand, and it will vary greatly within a day. It causes an imbalance between supply and demand. The grid will be unstable. At this time, the energy storage system can be used to store and release energy for adjusting the unstable power grid. That is, automatic frequency regulation control (AFC). If the frequency is too high, it means that the power supply is excessive, and the energy storage system is used to store the excess power. On the contrary, when the frequency is low, the stored energy is released.
The energy storage system is divided into Grid system and Behind-the-Meter system according to the different setting positions. AFC often operates with Grid system. Considering that most of the grid feeders in Taiwan are already fully occupied. In this paper, the research uses Behind-the-Meter system for by Demand Response.
This study simulates that the Behind-the-Meter system is set up in a factory, and writes a control strategy for sReg. To verify the result by using the typical factory load curve and the frequency data in summer and winter. Estimate the required maximum power output and battery capacity of the energy storage system based on the simulation results.

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