考虑调峰约束的风水火随机机组组合问题

发布时间：2018-03-18 15:47

本文选题：风电　切入点：水电　出处：《电工技术学报》2014年10期 　论文类型：期刊论文

【摘要】：为了协调优化风电、梯级水电、火电的发电调度,并克服下一调度周期的调峰难题,建立了考虑未来调度周期调峰约束的随机机组组合模型。针对风电的随机性,采用缩减后的场景进行模拟,并充分利用梯级水电和火电的调节能力,建立了各个场景下的风水火耦合的运行约束。针对下一调度周期的调峰问题,通过增加机组起停相关约束,使得系统能够满足未来调度周期高峰和低谷的调峰要求。随机机组组合数学模型是一个复杂的非线性优化模型,将其转换为线性混合整数规划模型后,利用CPLEX进行求解。算例仿真结果表明,优化得到的机组组合方案能够有效提升风水火发电系统短期优化调度的前瞻性并可兼顾各个场景下机组出力的可行性。
[Abstract]:In order to coordinate and optimize the generation scheduling of wind power, cascade hydropower and thermal power, and to overcome the problem of peak shaving in the next dispatching period, a stochastic unit combination model considering the constraints of future dispatching period is established. By using the reduced scene to simulate, and making full use of the regulating ability of cascade hydropower and thermal power, the operational constraints of geomantic fire coupling in each scenario are established. The system can meet the peak and low peak regulation requirements of the future dispatching cycle by increasing the start-up and shutdown constraints. The stochastic unit combination mathematical model is a complex nonlinear optimization model. It is transformed into a linear mixed integer programming model and solved by CPLEX. The simulation results show that, The optimized unit combination scheme can effectively enhance the short-term optimal scheduling of the geomantic power generation system and the feasibility of generating units under different scenarios.
【作者单位】：上海电力学院电气工程学院;华北电力大学电气与电子工程学院;
【基金】：国家自然科学基金资助项目(51277071)
【分类号】：TM61

【相似文献】