响应电网负荷需求的梯级水电站短期调峰调度

发布时间：2018-06-16 04:19

本文选题：梯级电站 + 电网负荷　；参考：《水力发电学报》2016年06期

【摘要】：电网调峰需求日益迫切,如何利用高效清洁的水电能源调节电网峰谷差异成为缓解电网调峰压力的关键问题之一。本文以电网剩余负荷均方差最小为目标建立梯级水电站短期调峰模型,并提出一种逐步粒子群优化混合算法,外层利用逐步优化算法压缩解空间降维,内层采用粒子群算法随机连续搜索;同时提出动态约束廊道方法处理模型复杂约束,自适应更新可行域范围。将所提方法运用于华中电网直调沅水梯级电站短期调峰优化运行中,实例计算表明,所提建模思路调峰效果明显,电网余荷均方差降幅达93.6%,经削峰后的负荷曲线趋于平稳,可为梯级电站短期调峰提供求解思路。
[Abstract]:The demand for peak-shaving is becoming more and more urgent. How to use efficient and clean hydropower energy to adjust the peak-valley difference becomes one of the key problems to alleviate the peak-shaving pressure. In this paper, a short-term peak-shaving model of cascade hydropower stations is established with the objective of minimizing the mean square error of residual load, and a hybrid algorithm of stepwise particle swarm optimization (PSO) is proposed, in which the outer layer is used to reduce the dimension of the solution space by using the stepwise optimization algorithm. In the inner layer, particle swarm optimization (PSO) algorithm is used for random continuous searching, and a dynamic constrained corridor method is proposed to deal with the complex constraints of the model and to update the feasible range adaptively. The proposed method is applied to the short-term peak-shaving optimization operation of Yuanshui cascade power station in central China Power Grid. The calculation results show that the effect of peak shaving is obvious, the mean square deviation of residual load decreases by 93.60.After peaking, the load curve tends to be stable. It can be used to solve the short-term peak-shaving of cascade power station.
【作者单位】：华中科技大学水电与数字化工程学院数字流域科学与技术湖北省重点实验室;
【基金】：国家自然科学基金(51239004;51579107) 水沙科学与水利水电工程国家重点实验室开放基金(sklhse-2015-A-01)
【分类号】：TV737

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