本文選題：微電網(微網) + 優(yōu)化配置�。� 參考：《電力系統(tǒng)自動化》2017年21期

【摘要】：為了提高獨立型微電網電源優(yōu)化配置的魯棒性,綜合考慮了風、光和負荷的間歇性和隨機性,建立了獨立型微電網的雙層魯棒優(yōu)化容量配置模型。外層為初始投資費用主問題,內層為基于風、光和負荷不確定集的運行優(yōu)化子問題。采用對偶的方法對子問題進行解耦,利用大M法將其線性化,并通過Benders分解的方法將主子問題進行交互迭代,直至經濟成本達到最優(yōu)。在算例中將該方法與改進的非支配排序遺傳算法(NSGA-Ⅱ)進行對比,結果表明所提模型的魯棒性更好,求解效率更高,驗證了模型的合理性和有效性。
[Abstract]:In order to improve the robustness of optimal configuration of power supply in independent microgrid, considering the intermittence and randomness of wind, light and load, a bilevel robust capacity allocation model of independent microgrid is established. The outer layer is the main problem of the initial investment cost, and the inner layer is the operation optimization subproblem based on the wind, light and load uncertainty sets. The dual method is used to decouple the subproblem, the large M method is used to linearize it, and the main subproblem is iterated interactively by the Benders decomposition method until the economic cost is optimal. The results show that the proposed model is more robust and efficient, and the rationality and validity of the proposed model are verified by comparing the proposed method with the improved non-dominated sorting genetic algorithm (NSGA- 鈪，

本文編號：1969970