In the electrical power system optimal power flow is a solution for power management with multi variable equality and inequality constraints. Different algorithms were used to solve the optimum power flow (OPF). This paper proposes the optimal power flow using efficient and reliable optimization technique of enhanced sine cosine algorithm (ESCA). The proposed algorithm used to solve the multi objective power flow function problems such as generating cost, losses, emission of power plant and to improve the voltage stability. In this IEEE standard 30 bus system with four different multi objective functions have been tested and results obtained by Enhanced sine cosine algorithm are compared with other evolutionary algorithms. The results show that ESCA gives better results than other techniques in terms of convergence speed and global optimal solutions.

在电力系统中，最优潮流是具有多变量等式和不等式约束的电力管理解决方案。使用不同的算法来求解最佳潮流（OPF）。本文提出了使用增强正弦余弦算法（ESCA）的高效可靠的优化技术来优化潮流。该算法用于解决电厂发电成本、损耗、排放等多目标潮流函数问题，提高电压稳定性。在这个 IEEE 标准 30 总线系统中测试了四个不同的多目标函数，并将增强正弦余弦算法获得的结果与其他进化算法进行了比较。