This work proposes the implementation of recent evolutionary metaheuristic algorithm namely, barnacles mating optimizer (BMO) to solve the Optimal Power Flow (OPF) issue. BMO is inspired by the mating behaviour of barnacles which happened in two ways: by normal copulation and sperm‐cast. The effectiveness of the proposed BMO in solving the OPF is tested on a modified IEEE‐30 bus system that is integrated with solar PV farms for five cases viz (1) cost minimization of the power generation that consists of thermal and stochastic solar power generations, (2) power loss minimization, (3) voltage deviation minimization, (4) emission minimization and (5) combined cost and emission minimization of power generations. To demonstrate the effectiveness and the veracity of the solution obtained by BMO, several recent algorithms that have been reported in the literature will be utilized and compared intensively. In the end, the simulation results demonstrate that the BMO can be effectively becoming an alternative solution for the OPF issue in general.

中文翻译：

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使用藤壶配合优化器的随机太阳能实现最佳潮流

这项工作提出了最新的进化元启发式算法，即藤壶配合优化器（BMO）的实现，以解决最优潮流（OPF）问题。BMO的灵感来自藤壶的交配行为，这种行为以两种方式发生：正常交配和精子铸造。拟议的BMO解决OPF的有效性已在改良的IEEE-30总线系统上进行了测试，该系统已与太阳能光伏场集成在一起，解决了五种情况，即（1）最大限度地降低了由热能和随机能太阳能发电组成的发电成本， （2）功耗最小化，（3）电压偏差最小化，（4）排放最小化，以及（5）发电成本和排放最小化。为了证明BMO解决方案的有效性和准确性，文献中已报道的几种最新算法将得到充分利用和比较。最后，仿真结果表明，BMO通常可以有效地成为OPF问题的替代解决方案。