使用粒子群優化電池儲能系統的最佳大小

Optimal Sizing of Battery Storage System by Using Particle Swarm Optimization

呂俊銘(Taufik Alfajri Zulhelmi)

指導教授 ： 洪穎怡

中原大學/電機資訊學院/電機工程研究所/碩士(2022年)

https://doi.org/10.6840/cycu202200118

摘要

可再生能源的間歇性可能是微電網系統中的一個問題。可再生能源對天氣條件的依賴會導致能源產生的電力和所需的電力負荷之間的差異。這個問題會導致微電網系統的不穩定和系統崩潰。實施電池儲能系統（BESS）被認為是防止這些問題的解決方案之一。然而，電池儲能系統的安裝必須有一個最佳的尺寸，以盡量減少系統損失，並避免安裝費用過高。因此，本研究提出了一種尺寸確定方法，通過使用粒子群優化（PSO），以最小的總成本評估BESS的最佳尺寸。其目的是通過考慮各種技術限制，以最小的總成本獲得BESS的最佳尺寸值，其中包括年度資本成本、年度運營和維護成本。本研究還考慮了系統的可靠性，如負載損失預期（LOLE）、能量損失預期（LOEE）和供電損失概率（LPSP）。對三種不同的電池技術（釩-氧化鋁、多硫化物-溴化物和鉛-酸）進行了調查和比較，以瞭解PSO如何在不同參數下獲得每種電池的最小尺寸。從所進行的兩個方案中發現，所提出的PSO方法可以在不同的參數下獲得三種類型電池的最佳尺寸以及最低成本。同時還得出結論，與在微電網中長期安裝其他電池相比，安裝多硫化物-溴化物BESS技術是最具成本效益的BESS。

關鍵字

電池儲能系統 ； 预期负载损失 ； 預期能量損失 ； 供電損失概率 ； 粒子群優化 ； 可靠性 ； 最佳的规模调整

並列摘要

The intermittency of renewable energy sources can be an issue in a microgrid system. The dependency of renewable energy sources on weather conditions can lead to a discrepancy between power generated from the source and the power load needed. This issue can cause instability and system collapse in the microgrid system. Implementing Battery Energy Storage System (BESS) is found to be one of the solutions to prevent these issues. However, the installation of BESS has to be in an optimum size to minimize the system losses and to avoid being overpaid for the installation. Therefore, this thesis proposes a sizing methodology to evaluate an optimum size of BESS at a minimal total cost by using Particle Swarm Optimization (PSO). The aim is to get an optimum value of the size of BESS with the minimum total cost which includes annual capital cost, annual operation, and maintenance cost by considering various technical constraints. The system reliabilities such as Loss of Load Expectation (LOLE), Loss of Energy Expectation (LOEE), and Loss of Power Supply Probability (LPSP) are also considered in this study. Three different battery technologies (Vanadium-Redox, Polysulfide-Bromide, and Lead-Acid) were investigated and compared in order to see the performance of PSO to obtain the minimum size of each battery with different parameters. From two scenarios that were conducted, it is found that the proposed PSO method can obtain the optimum size of the batteries with different parameters along with its minimum cost. It is also concluded that the installation of Polysulfide-Bromine BESS technology is the most cost-efficient BESS technology compared to the installation of other batteries for a long time of installation in the microgrid.

並列關鍵字

Battery Energy Storage System ； Particle Swarm Optimization ； Optimal sizing of BESS ； Reliability ； LPSP ； LOLE ； LOEE

參考文獻

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