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Optimal distribution voltage control through a sub-framework in the reactive power management on the Smart Grid

机译:通过智能电网的无功电源管理中的子框架优化分配电压控制

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The large-scale deployment of the Smart Grid will support the evolution of conventional electrical power systems toward active, flexible and automatic troubleshooter energy networks composed of renewable energy resources. With the increasing penetration of renewable energies as distributed generation (DG) in smart grid scheme, technical problems arise in both distribution and transmission system level. The undesirable voltage is the main problem for connection of DGs in distribution systems, while excessive reactive power demand from transmission system is the major concern for Transmission System Operators (TSO). This paper presents a new sub-framework in the reactive power management to optimal control of voltage in the suitable range by decreasing the voltage deviation and obtain high voltage stability margin, simultaneously. In this work, the required voltage profile, by set of controllable variables in power system such as tap of transformers, value of capacitors is investigated. To determination the value of elements in the mentioned sub-framework, the Particle Swarm Optimization (PSO) method is employed to rapidly obtain the optimum parameters due to improvement of voltage profile. Finally, the proposed method is implemented on the standard IEEE- 24 bus and IEEE-16 bus distribution system the results are compared to each other.
机译:智能电网的大规模部署将支持传统电力系统的演变,朝向由可再生能源资源组成的主动,灵活和自动故障排除能量网络。随着可再生能源的渗透率升高为智能电网方案中的分布式发电(DG),分布和传输系统级别出现技术问题。不希望的电压是用于连接分配系统中DG的主要问题,而传输系统的过度无功功率需求是传输系统运营商(TSO)的主要问题。本文介绍了无功电源管理中的新子框架,以通过降低电压偏差并同时获得高压稳定性裕度来最佳地控制合适范围内的电压。在这项工作中,研究了所需的电压曲线,通过电力系统中的可控变量(如变压器的电源系统,电容器的值)进行研究。为了确定所述子框架中的元素的值,采用粒子群优化(PSO)方法来快速获得由于电压分布的改善而迅速获得最佳参数。最后,该方法在标准IEEE-24总线上实现了IEEE-16总线分配系统,结果彼此比较。

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