本研究提出電動車充放電排程規劃及導入聯盟區塊鏈交易技術，並以貧富改善最佳化演算法達成電動車最佳充放電排程，俾以達成交易安全之目標。本文首先進行負載變動率以及電壓變動率之數學建模，以做為本研究之目標函數，然後利用貧富改善最佳化演算法進行電動車充放電排程策略擬定。本文研擬之貧富改善最佳化演算法乃基於人本社會中人們追求財富，冀而達成貧富改善最佳化之目標，進而延伸建立為求解最佳化問題。而為驗證本文所提方法之實務可行性，本文經由實際配電系統進行模擬測試，並分別探討住宅區、商業區以及工業區之電動車充放電排程以及輔以聯盟區塊鏈之電能交易分析，模擬成果有助於因應大量電動車併網後之充放電排程及電力經濟規劃，同時可提供電能交易決策擬定參考。

This study investigates the scheduling of charging and discharging of electric vehicles with consortium blockchain transaction considerations, where the poor and rich optimization algorithm is applied to achieve the goal of transaction security. This thesis starts with the modeling of load variation and voltage variation, by which they are served as objective functions for the algorithm during the scheduling of charging/discharging of electric vehicles. The method developed in this thesis is inspired from the people pursuing wealth in a human-oriented society, through which the concept is extended as an optimization approach to solve the problem that is concerned in this study.
To verify the practical feasibility of the method, this thesis has applied the approach to investigate the scheduling of charging and discharging electric vehicles in residential areas, commercial areas, and industrial areas with PV penetration, in which the consortium blockchain is included to analyze power transactions as well. Simulation outcomes through these tests are deemed helpful following the charging/discharging scheduling of significant increased number of electric vehicles, by which they are also useful for the decision-making of transactions of electric power.

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