【摘要】：以系統(tǒng)的經(jīng)濟(jì)成本和CO2排放量最小為優(yōu)化目標(biāo),兼顧發(fā)電側(cè)與需求側(cè)柔性負(fù)荷的雙側(cè)協(xié)調(diào)配合,建立了考慮柔性負(fù)荷的多目標(biāo)安全約束機(jī)組組合優(yōu)化模型。針對傳統(tǒng)法線邊界交叉(normal boundary intersection,NBI)法求解上述模型時出現(xiàn)的混合整數(shù)二次規(guī)劃和混合整數(shù)二次約束問題,提出了引入分段線性化策略的NBI法,在保證計算精度的同時,大大提高了求解效率。對一個10機(jī)24時段算例進(jìn)行了仿真計算,一方面證明了所提算法的有效性,另一方面表明柔性負(fù)荷調(diào)度有利于提高系統(tǒng)的經(jīng)濟(jì)性,降低系統(tǒng)的碳排放量;同時,需求側(cè)柔性負(fù)荷的參與對減小負(fù)荷峰谷差、緩解負(fù)荷高峰期用電壓力具有重要作用,并促進(jìn)了風(fēng)電的進(jìn)一步消納,有助于清潔能源的利用。
[Abstract]:Taking the economic cost of the system and the minimum CO2 emission as the optimization objective, and taking into account the bilateral coordination between the generation side and the demand side flexible load, a multi-objective safety constrained unit combination optimization model considering the flexible load is established. In order to solve the mixed integer quadratic programming and mixed integer quadratic constraint problems in the traditional normal boundary crossing (normal boundary intersectionNBI method, a new NBI method with piecewise linearization strategy is proposed to ensure the calculation accuracy. The efficiency of solution is greatly improved. A simulation example of a 10-machine 24 time period is given. On the one hand, the validity of the proposed algorithm is proved. On the other hand, the flexible load scheduling is shown to be beneficial to improve the economy of the system and reduce the carbon emissions of the system. The participation of the demand side flexible load plays an important role in reducing the peak and valley difference of load and alleviating the peak load pressure. It also promotes the further absorption of wind power and contributes to the utilization of clean energy.
【作者單位】： 電力傳輸與功率變換控制教育部重點實驗室(上海交通大學(xué)電氣工程系);
【基金】：國家電網(wǎng)公司科技項目(SGSXDKY-DWKJ2015-001)~~
【分類號】：TM73

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1 周揚;基于多目標(biāo)決策的特高壓輸電線路抗冰方法組合優(yōu)化模型研究[D];湖南大學(xué);2015年

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