Determination of the Optimum Capacity and Type of Wind Turbine Generators in a Power System Considering Reliability and Cost
Determination of the Optimum Capacity and Type of Wind Turbine Generators in a Power System Considering Reliability and Cost
复制标题
考虑可靠性和成本的电力系统中风力发电机最佳容量和类型的确定
DOI：
10.1109/tec.2010.2082131
复制
发表时间：
2011-03
影响因子：
4.9
通讯作者：
Billinton, Roy
中科院分区：
文献类型：
--
作者：
Xie, Kaigui;Billinton, Roy
将风能转换系统（WECS）添加到电力系统的经济性和可靠性益处高度依赖于风力涡轮机发电机（WTG）安装设计，即，WTG的类型和数量。本文提出了一种考虑风力发电机参数、风力发电系统总成本和电力系统可靠性性能的方法来确定每个风电场的最佳安装设计。该模型是一个具有非线性、不可微目标函数的组合约束优化问题，目标函数包括投资成本、维护成本和运营成本，以及客户中断成本。在模型中考虑了一些约束条件，包括特定风电场的总装机容量和资本成本。该模型采用遗传算法求解，该算法基于一代种群中染色体适应度的标准差，具有自适应交叉和变异概率。在两个电力系统上对所提出的模型和算法进行了测试。结果表明，所提出的方法可以用来获得最大的经济和可靠性效益与WECS安装，是一个强大的搜索技术，确定最佳的数量和类型的风力发电机考虑可靠性性能和成本。
The economic and reliability benefits of adding a wind energy conversion system (WECS) to a power system are highly dependent on the wind turbine generator (WTG) installation design, i.e., the type and number of WTG. This paper presents an approach to determine the optimum installation design at each wind site considering the WTG parameters, the total cost of WECS and the power system reliability performance. The model is formulated as a combinatorial constrained optimization problem with a nonlinear, nondifferentiable objective function, which consists of the capital, maintenance and operating costs, and the costumer interruption costs. A number of constraints, including the total installed capacity at a specific wind site and the capital cost, are considered in the model. The model is solved using a genetic algorithm with adaptive crossover and mutation probabilities based on the standard deviation of chromosome fitness in a generation population. The proposed model and algorithm are tested on two power systems. The results show that the proposed approach can be used to obtain the maximum economic and reliability benefits associated with a WECS installation and is a powerful search technique for determining the optimum number and type of WTG considering reliability performance and costs.
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DOI：
10.1080/07313560050129062
发表时间：
2000-09
期刊：
Electric Machines & Power Systems
影响因子：
--
作者：
R. Zhang
通讯作者：
R. Zhang
影响因子：
4.9
作者：
R. Karki;R. Billinton
通讯作者：
R. Karki;R. Billinton
影响因子：
6.6
作者：
C. Chiang
通讯作者：
C. Chiang
DOI：
10.1109/tpas.1979.319398
发表时间：
1979-01-01
期刊：
IEEE TRANSACTIONS ON POWER APPARATUS AND SYSTEMS
影响因子：
--
作者：
通讯作者：
--
影响因子：
4.9
作者：
R. Billinton;G. Bai
通讯作者：
R. Billinton;G. Bai