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MIP-Based Stochastic Security-Constrained Daily Hydrothermal Generation Scheduling

机译:基于MIP的随机安全约束每日热液发电调度

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摘要

This paper presents the application of a mixed-integer programming (MIP) approach for solving stochastic security-constrained daily hydrothermal generation scheduling (SCDHGS). Power system uncertainties including generating units and branch contingencies and load uncertainty are explicitly considered in the stochastic programming of SCDHGS. The roulette wheel mechanism and lattice Monte Carlo simulation (LMCS) are first employed for random scenario generation wherein the stochastic SCDHGS procedure is converted into its respective deterministic equivalents (scenarios). Then, the generating units are scheduled through MIP over the set of deterministic scenarios for the purpose of minimizing the cost of supplying energy and ancillary services over the optimization horizon (24 h) while satisfying all the operating and network security constraints. To a more realistic modeling of the DHGS problem, in the proposed MIP formulation, the nonlinear valve loading effect, cost, and emission function are modeled in linear form, and prohibited operating zones (POZs) of thermal units are considered. Furthermore, a dynamic ramp rate of thermal units is used, and for the hydro plants, the multiperformance curve with spillage and time delay between reservoirs is considered. To assess the efficiency and powerful performance of the aforementioned method, a typical case study based on the standard IEEE-118 bus system is investigated, and the results are compared to each other in different test systems.
机译:本文介绍了混合整数规划(MIP)方法在求解随机安全性受限的每日热液发电调度(SCDHGS)中的应用。 SCDHGS的随机规划中明确考虑了电力系统的不确定性,包括发电机组和支路突发事件以及负载的不确定性。轮盘赌轮机制和点阵蒙特卡洛模拟(LMCS)首先用于随机场景的生成,其中随机SCDHGS过程被转换为其各自的确定性等价物(场景)。然后,通过MIP在确定性方案集上调度发电机组,以在满足所有操作和网络安全约束的同时,将优化范围(24小时)内的能源和辅助服务的成本降至最低。为了对DHGS问题进行更真实的建模,在提出的MIP公式中,非线性阀的加载效果,成本和排放函数以线性形式建模,并考虑了热力单元的禁止运行区域(POZ)。此外,使用了热力单元的动态斜率,对于水力发电厂,考虑了具有溢漏和水库之间时间延迟的多功能曲线。为了评估上述方法的效率和强大性能,对基于标准IEEE-118总线系统的典型案例进行了研究,并将结果在不同的测试系统中进行了比较。

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