Automation of Electric Power SystemsVol. 31, Issue 7, Pages: 20-23(2007)
作者机构:
1. 中国科学院自动化研究所复杂系统与智能科学实验室,北京市,100080
2. 中国科学院研究生院,北京市,100080
3. 清华大学电机系,北京市,100084
4. 西北电网有限公司,陕西省,西安市,710048
5. Brunel大学,伦敦,英国
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Published:2007
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ZHANG Changhua, SUN Rongfu, LIU Chongxu, et al. [J]. Automation of electric power systems, 2007, 31(7): 20-23.
DOI:
ZHANG Changhua, SUN Rongfu, LIU Chongxu, et al. [J]. Automation of electric power systems, 2007, 31(7): 20-23.DOI:
基于粒子群进化算法的极限输电容量计算方法
摘要
针对 N -1静态安全模型的电力系统可用输电容量(ATC)计算问题,提出一种基于粒子群进化算法的新方法。其基本思想是,对得到的某个ATC可能值,验证在该功率传输水平下系统是否满足静态安全约束。对群中每个粒子对应变量分为区域交换功率值和停运支路编号2部分,二者以不同方式分别进化。计算过程中,不可行粒子用于得到ATC的值并对其采取校正措施来加快得到ATC的速度,可行粒子用于判别严重支路。计算终止时得到区域间ATC、关键支路和对ATC影响较大的严重支路集。在IEEE 118节点测试系统上,通过与其他计算ATC的方法相比较,表明该算法可以准确捕获严重支路集并得到ATC的值。
Abstract
Based on particle swarm optimization(PSO) algorithm and considering N -1 security constraint, a method for available transfer capability(ATC) of power system is presented in this paper. The basic idea of this new method is to verify a possible ATC value satisfying power system static security constraint. The variables of each particle are classified into two elements: exchanged power value and the outage branch number. These two elements are evolved in different ways. In the procedure, a modifying measure for the infeasible particles is taken to accelerate the speed of finding the ATC value and the feasible particle is used to identify the severe contingency. After the calculation, the key branches and severe branch contingency set are attained as well as the ATC. Comparing with other methods, the numerical simulation results in IEEE 118-bus system demonstrate the higher efficiency and validity of the method.