水火电力系统短期实用化调度模型及求解方法

发布时间：2018-06-23 14:15

本文选题：水火电力系统 + 实用化调度模型　；参考：《电力自动化设备》2016年12期

【摘要】：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。
[Abstract]:Taking the large-scale hydro-thermal power system of a power network as the research object, from the point of view of saving energy and reducing consumption and connecting with the actual production, based on the decoupling mechanism of the hydro-thermal power system, The water-fire joint scheduling problem is modeled as two sub-optimization problems with optimal time series. In the subproblem of thermal power optimization, on the basis of considering the conventional constraints, the constraint of the rise and fall direction of thermal power generating units and the threshold constraints of the fluctuation of the total thermal power load in adjacent periods are proposed to ensure the smooth power generation of thermal power generating units, and in the hydropower optimization sub-problem, In order to ensure the full utilization of hydropower plants, the daily average force constraints and vibration zone constraints are considered. The improved teaching and learning optimization algorithm with flexible update strategy is used to solve the two sub-optimization problems in turn, and different heuristic constraint processing methods are designed for the complex constraints with strong coupling in the two sub-optimization problems. The pre-day dispatching of a hydro-thermal power system with 15 thermal power plants and 29 hydropower plants is simulated and tested, which verifies the feasibility and practicability of the proposed dispatching model and the validity of the solution method.
【作者单位】：武汉大学电气工程学院;
【基金】：高等学校博士学科点专项科研基金资助项目(201101-41110032)~~
【分类号】：TM73

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