论文部分内容阅读
随着巨型梯级水电站群陆续竣工,水电在电力系统中的比例进一步提升,极端干旱天气对电力系统的安全性影响越来越大。为此,提出同时考虑系统发电保证率和出力破坏深度的梯级水电站群长期发电优化调度多核并行机会约束动态规划方法。该方法将发电保证率和出力破坏深度约束处理成余留效益函数中的拉格朗日项和惩罚项,应用Fork/Join多核并行框架实现单时段内所有离散变量组合并行求解。通过动态更新的拉格朗日乘子和惩罚系数迭代生成多组调度规则,根据模拟调度结果选取最优调度规则。以澜沧江下游梯级水电站群为研究背景,在不同配置环境下开展方法验证,得到的调度规则可以同时满足保证率和破坏深度控制要求,且计算耗时大幅度缩减,为更深入了解梯级水电站群调度运行规律提供更高效的手段。
With the completion of the giant cascade hydropower plant, the proportion of hydropower in the power system is further increased, and the impact of extreme dry weather on the safety of the power system is becoming larger and larger. Therefore, a multi-core parallel chance-constrained dynamic programming method is proposed for long-term generation optimal scheduling of cascaded hydropower stations, which considers both the guaranteed rate of power generation and the power failure depth. In this method, Lagrange terms and penalty terms in the residual benefit function are treated as the power generation guarantee rate and output damage depth constraint. All the discrete variables within a single period are solved in parallel using the Fork / Join multi-core parallel framework. Multi-group scheduling rules are generated by dynamically updating Lagrange multipliers and penalty coefficients, and the optimal scheduling rules are selected according to the simulation results. Taking the cascade hydropower station in the downstream of the Lancang River as a research background, the method validation is carried out in different configuration environments. The obtained scheduling rules can satisfy both the guarantee rate and the destructive depth control requirements, and the computation time is drastically reduced. In order to know more about the dispatch of cascade hydropower stations, Operating rules provide a more efficient means.