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首页> 外文期刊>Electric power systems research >Evaluating the effectiveness of normal boundary intersection method for short-term environmental/economic hydrothermal self-scheduling
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Evaluating the effectiveness of normal boundary intersection method for short-term environmental/economic hydrothermal self-scheduling

机译：评价法向边界相交方法在短期环境/经济热液自调度中的有效性

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摘要

The problem of the optimal scheduling of available hydro and thermal generating units considering a short scheduling period (one day-one week) in order to maximize the total profit is denoted as short-term hydro thermal self-scheduling (SHTSS). Mixed-integer linear programming (MILP) method is proposed to model the SHTSS problem in the day-ahead energy and reserve markets. MILP formulation allows for considering a precise model for the prohibited working zones, dynamic ramp rate constraints and operating services of thermal generating units, as well as the characteristics of multi-head power discharge for hydro generating units and reservoirs' spillage. This problem is modelled as a multi-objective (MO) optimization one, having two objectives, i.e. maximization of the profit of Generation Company's (GENCO's) and minimization of emissions from thermal units. In order to solve the problem and generate the non-inferior solutions, normal boundary intersection (NBI) method is applied. The main advantage is the provision of set of uniformly distributed non-dominated solutions regardless of the scales of objective functions values. Then, a fuzzy based decision maker is employed in order to select a non-inferior solution. In order to demonstrate the effectiveness of the presented method, several numerical simulations are presented. Furthermore, the obtained results are compared with those obtained considering different methods for obtaining non-inferior solutions, such as weighted sum method, evolutionary programming-based interactive fuzzy satisfying method, differential evolution, particle swarm optimization and hybrid multi-objective cultural algorithm. (C) 2015 Elsevier B.V. All rights reserved.
机译：为了使总利润最大化而考虑了较短的调度周期（一天一天一周）的可用水力和热力发电机组的最优调度问题称为短期水力热力自调度（SHTSS）。提出了混合整数线性规划（MILP）方法来对日前的能源和储备市场中的SHTSS问题进行建模。 MILP公式可考虑为禁止使用的工作区域，动态斜率限制和热力发电机组的运行服务以及水力发电机组和水库溢流的多头功率排放特性的精确模型。该问题被建模为一个多目标（MO）优化模型，它具有两个目标，即发电公司（GENCO）的利润最大化和热力装置的排放量最小。为了解决该问题并生成非劣解，应用了法向边界相交（NBI）方法。主要优点是无论目标函数值的大小如何，都可以提供一组均匀分布的非支配解。然后，采用基于模糊的决策器来选择非劣等解。为了证明所提出方法的有效性，提出了几种数值模拟。此外，将所得结果与考虑采用不同方法获得非劣解的所得结果进行比较，这些方法包括加权和法，基于进化规划的交互式模糊满足方法，差分进化，粒子群优化和混合多目标文化算法。 （C）2015 Elsevier B.V.保留所有权利。

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