基于条件风险价值的含风电电力系统旋转备用效益研究

发布时间：2018-04-25 00:13

本文选题：旋转备用效益 + 备用容量　；参考：《电工技术学报》2017年09期

【摘要】：由于风电出力的波动性和间歇性,大规模风电并网使得旋转备用效益和风险的矛盾更加突出。考虑系统上、下旋转备用的容量成本和能量成本,以及因购买上旋转备用而减少的失负荷损失和因购买下旋转备用而减少的弃风损失,以期望旋转备用效益最大和系统损失的条件风险价值(CVaR)最小为两个目标,建立基于条件风险价值的含风电电力系统旋转备用效益-风险模型。采用蒙特卡罗法模拟实际负荷功率和风电出力的预测偏差,并改进多目标粒子群优化算法,用于求解得到期望旋转备用效益-风险有效前沿和日前旋转备用计划,以及不同可靠性水平、置信水平对期望旋转备用效益和风险的影响。最后,通过算例验证了该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.
【作者单位】：福州大学电气工程与自动化学院;
【基金】：福建省自然科学基金项目资助(2013J01176)
【分类号】：TM614

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