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Hybrid ant colony technique for reactive power tracing in deregulated power system

机译:解除管制电力系统无功追踪混合蚁群技术

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Providing high security and reliability for a power system is compulsory for a transmission service provider (TRANSCO) as this will affect the performance in terms of stability and economy. This can only be achieved by means of ancillary services like reactive power provision. However, to cover the cost of supplying such services, determination of appropriate methods for allocating the cost to consumers (which are generation company (GENCO) and distribution company (DISCO)) without any discrimination is necessary. After struggle development performed by researchers, the new technique for allocating such cost considering fairness and free-discrimination has been proposed; that is power tracing. The recent power tracing techniques are majorly based on proportional sharing principle (PSP) and circuit theory. In addition, they are very dependent on matrix singularity and thus increasing the probability for matrix inversion failure if the matrix to be inversed is singular. To counter this weakness, this paper proposes optimization assisted reactive power tracing via hybrid ant colony algorithm; Blended Crossover Continuous Ant Colony Optimization (BX-CACO). After experiment on IEEE 14-bus system, it is discovered that the proposed technique can also be a potential tool for providing non-discriminatory tracing results as compared to other conventional methods.
机译:为传输服务提供商(Transco)提供高安全性和功率系统的可靠性,因为这将影响稳定性和经济方面的性能。这只能通过反应功率提供等辅助服务来实现。但是,要涵盖提供此类服务的成本,确定为消费者(这是一代公司(Genco)和分销公司(迪斯科))分配成本的适当方法,没有任何歧视。在研究人员执行的斗争开发后,已经提出了考虑公平和自由歧视的新技术;这是权力跟踪。最近的功率跟踪技术主要基于比例共享原理(PSP)和电路理论。此外,它们非常依赖于基质奇异性,从而增加矩阵反转失败的概率如果矩阵倒在逆转录是奇异的情况下。为了使这种弱点进行计数,本文提出了通过混合蚁群算法的优化辅助无功追踪;混合交叉连续蚁群优化(Bx-Caco)。在IEEE 14总线系统上进行实验后,发现所提出的技术也可以是与其他传统方法相比提供非歧视性跟踪结果的潜在工具。

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