本文選題：電力系統(tǒng) + 旋轉備用效益　； 參考：《電力自動化設備》2017年09期

【摘要】：在考慮系統(tǒng)旋轉備用的容量成本和能量成本、因購買旋轉備用而減少的停電損失,以及旋轉備用效益的離散程度的基礎上,引入風險偏好系數(shù),并采用證券投資組合中的加權半方差度量風險。以期望旋轉備用效益最大和風險最小為優(yōu)化目標,建立基于加權半方差的含風電電力系統(tǒng)旋轉備用效益-風險模型。采用蒙特卡洛模擬法模擬實際負荷功率偏差和風電出力預測偏差,并通過多目標縱橫交叉算法求得期望旋轉備用效益-風險有效前沿和日前旋轉備用計劃,以及風險偏好系數(shù)、可靠性水平、預測偏差、失負荷損失價格、旋轉備用價格對期望旋轉備用效益和風險的影響。算例驗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】： 福州大學電氣工程與自動化學院;
【基金】：福建省自然科學基金資助項目(2013J01176)~~
【分類號】：TM614;TM73

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本文編號：2097304