本文選題：電力系統(tǒng) + 旋轉(zhuǎn)備用效益�。� 參考：《電力自動(dòng)化設(shè)備》2017年09期

【摘要】：在考慮系統(tǒng)旋轉(zhuǎn)備用的容量成本和能量成本、因購買旋轉(zhuǎn)備用而減少的停電損失,以及旋轉(zhuǎn)備用效益的離散程度的基礎(chǔ)上,引入風(fēng)險(xiǎn)偏好系數(shù),并采用證券投資組合中的加權(quán)半方差度量風(fēng)險(xiǎn)。以期望旋轉(zhuǎn)備用效益最大和風(fēng)險(xiǎn)最小為優(yōu)化目標(biāo),建立基于加權(quán)半方差的含風(fēng)電電力系統(tǒng)旋轉(zhuǎn)備用效益-風(fēng)險(xiǎn)模型。采用蒙特卡洛模擬法模擬實(shí)際負(fù)荷功率偏差和風(fēng)電出力預(yù)測偏差,并通過多目標(biāo)縱橫交叉算法求得期望旋轉(zhuǎn)備用效益-風(fēng)險(xiǎn)有效前沿和日前旋轉(zhuǎn)備用計(jì)劃,以及風(fēng)險(xiǎn)偏好系數(shù)、可靠性水平、預(yù)測偏差、失負(fù)荷損失價(jià)格、旋轉(zhuǎn)備用價(jià)格對(duì)期望旋轉(zhuǎn)備用效益和風(fēng)險(xiǎn)的影響。算例驗(yàn)證了所提模型的合理性。
[Abstract]:Considering the capacity cost and energy cost of the system rotating reserve, the risk preference coefficient is introduced on the basis of the reduction of the loss of power outage and the discreteness of the benefit of rotating reserve, and the weighted semi variance in the portfolio is used to measure the risk. The optimization of the maximum benefit and the minimum risk of the rotation reserve is expected to be optimized. The goal is to establish a rotating reserve benefit risk model based on the weighted half variance. The Monte Carlo simulation method is used to simulate the actual load power deviation and the prediction deviation of the wind power output, and the multi target longitudinal and transverse algorithm is used to obtain the expected rotating reserve benefit risk effective frontier and the day forward rotation reserve plan and the wind. The risk preference coefficient, the reliability level, the prediction deviation, the loss of the loss price, and the influence of the rotation reserve price on the expected rotating reserve benefit and risk. The calculation example verifies the rationality of the proposed model.
【作者單位】： 福州大學(xué)電氣工程與自動(dòng)化學(xué)院;
【基金】：福建省自然科學(xué)基金資助項(xiàng)目(2013J01176)~~
【分類號(hào)】：TM614;TM73

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