考虑发电保证率和破坏深度约束的水电站水库优化调度模型

Abstract

针对梯级水电站水库调度发电可靠性问题，建立了考虑发电保证率和极限破坏深度的机会约束随机动态规划模型。提出了一种结合拉格朗日松弛法和惩罚函数法的求解算法，通过松弛保证率约束，惩罚最小出力破坏，构建效益函数，并通过以模拟调度结果为依据的松弛乘子和惩罚系数更新实现模型求解。澜沧江中下游梯级水电站水库群的实例研究表明，该方法得到的结果能够在保证发电效益的同时，满足发电保证率要求，并避免出现发电深度破坏，可应用于水电站水库调度实践。 For the problem of power generation reliability, a stochastic dynamic programming model considering chance constraint of non-failure and extreme failure extent is proposed for hydropower reservoirs operation. An algorithm incorporating Lagrangian relaxation and penalty function is used to solve the model. The chance constraint is relaxed and the extreme fail constraint is addressed by penalty function, and a new benefit function is constructed. The Lagrangian multiplier and penalty coefficient are renewed on the basis of simulated operation results. The proposed method is used to the cascaded hydropower system of middle and lower Lancang River. Case study shows that the proposed method can meet the requirements of chance constraint of firm power and avoid severe failure, and the power generation benefit is kept also.