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考虑火电厂的发电机组出力、能耗成本及污染排放三者之间、及梯级电站出力与水力耦合参数之间,以及水火电机组之间综合效益基础上,建立了梯级水电站弃水量最小、火电能耗成本最低、和污染排放最小的多目标综合节能调度模型,并提出了计及梯级水电站的水火电节能发电调度策略;利用标度转换法,将梯级水电站弃水量最小、火电机组能耗成本最低和污染排放最小的多目标综合节能调度模型转化为不同权重系数下的单目标函数;运用混合惩罚函数优化算法将问题的求解转化为无约束优化问题,并利用Hessian矩阵改进了该优化算法,克服了缩减系数选择问题;通过对含4个梯级水电站、3个火电厂的水火电系统进行仿真,优化结果验证了该算法的可行性,并具有较明显的节能效果。
Considering the thermal power plant output, energy costs and pollution emissions among the three, and between the cascade hydropower output and hydraulic coupling parameters, as well as the comprehensive benefits between the hydro-thermal power unit based on the establishment of a cascade hydropower station the smallest amount of discarded water, thermal power The lowest energy consumption cost and the lowest pollution emission, and put forward the scheduling strategy of hydro-thermal power generation considering the cascade hydropower station. Using the scale conversion method, the water abandonment of the cascade hydropower station is minimized and the energy consumption cost of the thermal power unit Minimum and minimum emissions of multi-objective integrated energy-saving scheduling model into a single objective function under different weight coefficients; the use of mixed penalty function optimization algorithm to solve the problem of the problem of unconstrained optimization optimization problems, and the use of Hessian matrix to improve the optimization algorithm, This method overcomes the selection problem of the reduction factor. By simulating the thermal power system with four cascades hydropower stations and three thermal power plants, the optimization results verify the feasibility of the algorithm and have a more obvious energy-saving effect.