本論文評估配電網路中電池儲能系統(battery energy storage system, BESS)容量與位置，應用所提出之暫態指標，增加系統的穩定性與可靠度。首先使用MATLAB R2019b，應用粒子群演算法搜索能力結合柏拉圖最佳化特性來求解多目標問題，透過系統中穩態指標，包含實功率損失、電壓偏差與總營運成本，並藉由曼哈頓距離法得出最小曼哈頓距離與相鄰最小曼哈頓距離之解。接續於商用軟體DIgSILENT PowerFactory 2021中建構電池儲能系統，透過暫態響應時系統變化，評估機組出力情況與短期電壓穩定性指標，在多目標決策機制下，於配電網路中找尋電池儲能系統最終容量與位置。最後考慮了日負載曲線與日太陽能發電曲線，利用IEEE 33-bus放射型配電網路，驗證所提方法之正確性。

In this paper, the capacity and location of the battery energy storage system (BESS) in the distribution network are evaluated to increase the stability and reliability of power systems by applying the proposed transient stability indicators. The search capability of particle swarm optimization (PSO) combined with Pareto optimality in MATLAB R2019b is used to solve multi-objective problems in steady-state conditions, including active power loss, voltage deviation, and total operating cost. The BESS capacity and location are then derived by the Manhattan distance method. Afterwards, the BESS control model is constructed in commercial software DIgSILENT PowerFactory 2021 to evaluate generator power smoothing and short-term voltage stability index during the transient response, finding the final capacity and location of BESS in distribution networks. Finally, the accuracy of the proposed method is verified by considering the daily load and solar power generation curves using the IEEE 33-bus radial power distribution network.

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