With the advent of smart grid technologies, modern Distribution Management Systems (DMSs) enable the real-time operation of advanced automation functions such as Coordinated Volt/VAr Control (CVVC). Typically, control rule-based techniques have been proposed to efficiently carry out this important function in Distribution Networks (DNs). In this paper, a novel adaptation of the clonal selection theory of immune systems (CLONALG - Clonal Selection Algorithm) is proposed for real-time optimal solution of CVVC problem in radial DNs composed of multiple control equipment. To do this, a Software-in-the-Loop (SIL) strategy is developed, through the use of the Real-Time Digital Simulator (RTDS) and Matlab® program. Implementation details of the referred strategy and the corresponding adaptation of the CLONALG-based CVVC are discussed in this paper. Simulations results demonstrated that the proposed adaptation of the CLONALG technique is suitable to solve the CVVC problem in a maximum time of less than 10 min, in accordance with the Brazilian electric utilities’ need. On the other hand, the developed SIL strategy proved to be effective to analyzing the time domain behavior of CVVC algorithms, designed to operate in real time in a modern DMS.

随着智能电网技术的出现，现代的配电管理系统（DMS）可以实现高级自动化功能（如协调电压/ VAr控制（CVVC））的实时运行。通常，已经提出了基于控制规则的技术来有效地执行配电网（DN）中的这一重要功能。本文针对免疫系统的克隆选择理论（CLONALG-克隆选择算法）提出了一种新的适应方法，用于实时控制由多个控制设备组成的径向DN中的CVVC问题。为此，通过使用实时数字仿真器（RTDS）和Matlab®程序，开发了软件在环（SIL）策略。本文讨论了所提到的策略的实现细节以及基于CLONALG的CVVC的相应适配。仿真结果表明，根据巴西电力公司的需求，所建议的CLONALG技术的改进方案适合在最长不到10分钟的时间内解决CVVC问题。另一方面，事实证明，开发的SIL策略可有效分析CVVC算法的时域行为，该算法旨在在现代DMS中实时运行。