水火电力系统短期实用化调度模型及求解方法

Practical short-term dispatch model of hydro-thermal power system and solution

以某电网的大型水火电力系统为研究对象,从节能降耗及与生产实际接轨的角度出发,基于水火电力系统的解耦机制,将水火联合调度问题建模为2个具有优化时序的子优化问题。在火电优化子问题中,在考虑常规约束的基础上,提出火电机组出力升降走向约束及相邻时段火电总负荷波动阈值约束,以保证火电机组出力平滑;在水电优化子问题中,考虑水电厂日平均出力约束及振动区约束,以保证水电的充分利用。采用改进的具有柔性更新策略的教与学优化算法依次求解2个子优化问题,并针对2个子优化问题中呈现强耦合性的复杂约束,设计不同的启发式约束处理方法。对含有15座火电厂和29座水电厂的某水火电力系统的日前调度进行仿真测试,验证了所提调度模型的可行性和实用性及求解方法的有效性。

With a large-scale hydro-thermal power system in a power grid as an example,its combined dispatch problem is formulated as two sub-problems of time-sequence optimization based on its decoupling mechanism for energy saving and practical application. In the sub-problem of thermal power optimization,apart from the conventional constraints,the up-down direction constraints of thermal power unit outputs and the fluctuation threshold constraint of total thermal power load between adjacent time intervals are applied to ensure the smooth output of thermal power units;in the sub-problem of hydro power optimization,the daily average output constraints and vibration zone constraint of hydropower plants are considered to make full use of hydropower. The improved teaching-learning-based optimization algorithm with flexible updating strategy is adopted to solve two sub-problems and different heuristic constraint handling strategies are designed for the complex constraints with strong coupling between two sub-problems of optimization. The simulative results of day-ahead dispatch for a hydro-thermal power system with 15 thermal power plants and 29 hydro power plants verify the feasibility and practicability of the proposed model and the effectiveness of the proposed solution.