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Multi-objective Short-term Tandem Hydro Scheduling: MINLP Approach

机译:多目标短期TANDEM HYDRO SCORNING:MINLP方法

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This paper presents model for multi objective short term hydro scheduling for hydro power. The objective is to find practically feasible hourly generation schedules for operation of cascaded hydro plants of a medium size hydroelectric company (H-Genco) in day ahead manner. The challenge for H-GENCO is to change its hydro scheduling strategy frequently to meet the different objective functions on different plant operation scenarios. The objective functions considered in the paper are maximization of profit, maximization of energy, follow the load pattern, minimization of spillage from reservoirs. At same time it should be ensured that all operational and technical, grid constraints and should be met. This robust model takes into account all the possible operational, environmental and technical constraints related to machine and other details of generation units. Model is formed and solved as a MINLP optimization problem. The problem is classical, dynamic large-scale nonlinear optimization. The proposed model is implemented on sample cascaded reservoir systems comprising of four hydro generation units.
机译:本文为水电站提供了多目标短期水电调度模型。目的是寻找实际上可行的每小时发电时间表,用于在前一天的级联水电公司(H-GENCO)的级联水电站运作。 H-Genco的挑战是频繁地改变其水力调度策略,以满足不同工厂操作场景的不同客观功能。本文考虑的客观函数最大化利润,最大化能量,遵循负载模式,从储层中最小化溢出。同时应确保所有操作和技术,电网约束,应达到。这种强大的模型考虑到与机器和生成单位的其他细节相关的所有可能的运营,环境和技术限制。模型形成并解决为MINLP优化问题。问题是经典,动态大规模非线性优化。所提出的模型在包括四个水力发电单元的样品级联储层系统上实现。

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