A chance-constrained programming approach to determine requirement of optimal spinning reserve capacity

Q1 Engineering
Lu Wang, C. Yu, F. Wen
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引用次数: 21

Abstract

Under the premise of chance-constrained programming,when the consideration to reliability and economy of system operation should be given,how to consider the uncertainty factors such as the fault outage of generators and the error of load forecasting is researched so as to determine the optimal spinning reserve capacity that power system requires.Taking the purchase cost of minimized spinning reserve as objective as well as the secure requirement of power system as chance-constraint,a mathematical model to determine optimal spinning reserve capacity required by power system is constructed,and Monte Carlo simulation based genetic algorithm is adopted to solve the constructed model.Taking a power system containing 18 generating units for example the proposed model is illustrated.
一种确定最优旋转备用容量需求的机会约束规划方法
在机会约束规划的前提下,在考虑系统运行可靠性和经济性的前提下,研究了如何考虑发电机故障停运和负荷预测误差等不确定性因素,从而确定电力系统所需的最优自旋备用容量。以最小纺纱备用的购买成本为目标,以电力系统的安全需求为机会约束,构建了确定电力系统所需最优纺纱备用容量的数学模型,并采用基于蒙特卡罗仿真的遗传算法对所构建的模型进行求解。以一个包含18台发电机组的电力系统为例,对所提出的模型进行了说明。
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来源期刊
电网技术
电网技术 Engineering-Mechanical Engineering
CiteScore
7.30
自引率
0.00%
发文量
13735
期刊介绍: "Power System Technology" (monthly) was founded in 1957. It is a comprehensive academic journal in the field of energy and power, supervised and sponsored by the State Grid Corporation of China. It is published by the Power System Technology Magazine Co., Ltd. of the China Electric Power Research Institute. It is publicly distributed at home and abroad and is included in 12 famous domestic and foreign literature databases such as the Engineering Index (EI) and the National Chinese Core Journals. The purpose of "Power System Technology" is to serve the national innovation-driven development strategy, promote scientific and technological progress in my country's energy and power fields, and promote the application of new technologies and new products. "Power System Technology" has adhered to the publishing characteristics of combining "theoretical innovation with applied practice" for many years, and the scope of manuscript selection covers the fields of power generation, transmission, distribution, and electricity consumption.
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