基于條件風(fēng)險(xiǎn)價(jià)值的含風(fēng)電電力系統(tǒng)旋轉(zhuǎn)備用效益研究
本文選題:旋轉(zhuǎn)備用效益 + 備用容量; 參考:《電工技術(shù)學(xué)報(bào)》2017年09期
【摘要】:由于風(fēng)電出力的波動(dòng)性和間歇性,大規(guī)模風(fēng)電并網(wǎng)使得旋轉(zhuǎn)備用效益和風(fēng)險(xiǎn)的矛盾更加突出?紤]系統(tǒng)上、下旋轉(zhuǎn)備用的容量成本和能量成本,以及因購(gòu)買(mǎi)上旋轉(zhuǎn)備用而減少的失負(fù)荷損失和因購(gòu)買(mǎi)下旋轉(zhuǎn)備用而減少的棄風(fēng)損失,以期望旋轉(zhuǎn)備用效益最大和系統(tǒng)損失的條件風(fēng)險(xiǎn)價(jià)值(CVaR)最小為兩個(gè)目標(biāo),建立基于條件風(fēng)險(xiǎn)價(jià)值的含風(fēng)電電力系統(tǒng)旋轉(zhuǎn)備用效益-風(fēng)險(xiǎn)模型。采用蒙特卡羅法模擬實(shí)際負(fù)荷功率和風(fēng)電出力的預(yù)測(cè)偏差,并改進(jìn)多目標(biāo)粒子群優(yōu)化算法,用于求解得到期望旋轉(zhuǎn)備用效益-風(fēng)險(xiǎn)有效前沿和日前旋轉(zhuǎn)備用計(jì)劃,以及不同可靠性水平、置信水平對(duì)期望旋轉(zhuǎn)備用效益和風(fēng)險(xiǎn)的影響。最后,通過(guò)算例驗(yàn)證了該模型和算法的可行性。
[Abstract]:Because of the fluctuation and intermittency of wind power, the contradiction between the benefit and the risk of rotating reserve is more prominent when large-scale wind power is connected to the grid. Considering the capacity and energy costs of the system, the capacity and energy costs of the rotation reserve, and the reduced loss of load due to the purchase of the upper rotation reserve and the reduced loss of the wind from the purchase of the rotary reserve under the purchase, Aiming at the maximum expected rotational reserve benefit and the minimum system loss conditional risk value (CVaR) as the two objectives, a model based on conditional risk value for rotating reserve benefit and risk of wind power system is established. Monte Carlo method is used to simulate the prediction deviation between actual load power and wind power output, and an improved multi-objective particle swarm optimization algorithm is used to obtain the expected rotated reserve benefit-risk effective frontier and pre-day rotation reserve plan. And the effect of different reliability level and confidence level on expected rotation reserve benefit and risk. Finally, the feasibility of the model and algorithm is verified by an example.
【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)基金項(xiàng)目資助(2013J01176)
【分類(lèi)號(hào)】:TM614
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