本文利用多目標布穀鳥搜尋演算法，提出在具有再生能源的間歇性輸出變化下，確定靜態同步補償器(static synchronous compensator, STATCOM)之最佳容量和位置的選擇策略。基於C-vine copula對風力發電機的實功率輸出變化與時間序列進行數據擬合，分析了季節性輸出變化對STATCOM裝設位置和容量的影響。研究中考慮三個目標函數，以確定STATCOM裝置的最佳位置和容量：(1)最小化系統線路損失，(2)最小化暫態電壓指標，以及(3)最小化STATCOM容量的總成本。將多目標布穀鳥演算法與柏拉圖前緣結合，以確定四個季節的非支配解集，利用曼哈頓距離法在指定的時間區間內選擇最合適的安裝位置和容量。本研究使用DIgSILENT Power Factory 2021和MATLAB R2021b進行電力潮流計算，並藉由IEEE 39 Bus系統進行測試，以驗證所提方法之有效性。

This study proposes a selection strategy for determining the optimal capacity and location of a static synchronous compensator (STATCOM) device under intermittent output variations of renewable energy sources using a multi-objective cuckoo search (MOCS) algorithm. The impact of seasonal output variations on the location and capacity of the STATCOM devices was analyzed based on the daily output variations of the wind turbines using C-vine copula. Three objective functions were considered to determine the optimal location and capacity of the STATCOM devices: (1) minimizing the system line losses, (2) minimizing the transient voltage indicators, and (3) minimizing the total cost of the STATCOM capacity. MOCS was combined with the Pareto front to determine the non-dominated solution sets for the four seasons. The Manhattan distance method was used to select the most suitable installation locations and capacities within a specified time interval. Power flow calculations were performed using DIgSILENT Power Factory 2021 and MATLAB R2021b. To validate the proposed method, a test experiment was conducted using an IEEE 39 bus system.

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