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Solving optimal power dispatch using artificial algorithm for Nordic 44 network

机译:使用人工算法求解Nordic 44网络的最佳功率分配

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Optimal power flow (OPF) problems play a central role in planning and operating a transmission power system in a reliable, flexible and secure manner. In this paper, a significant intelligent algorithm based on the Particle Swarm Optimization method is proposed for solving the optimal reactive power dispatch (ORPD) problem by adjusting equality and inequality constraints. The objective function which is considered for optimal active and reactive power dispatch is the minimization of transmission power losses. In order to solve ORPD problems, Particle Swarm Optimization (PSO) based on the Newton Raphson method is coded with MATLAB software and the results of the simulation are compared to the Interior Point method as the classical method for minimization transmission losses in the Nordic 44 system. The Nordic 44 system consists of three countries, including Norway, Finland, and Sweden, and has 44 buses, 67 branches and 61 generators. The results illustrate the effectiveness of the proposed algorithm compared to the other methods for the minimization of total power losses for Nordic 44. The simulation results of the proposed method for the Nordic 44 system are compared to the results of the PSO algorithm for the ORPD problem in several networks, including IEEE 14 buses, 30 buses, and 57 buses.
机译:最佳潮流(OPF)问题在以可靠,灵活和安全的方式规划和操作传输电源系统中起着核心作用。提出了一种基于粒子群算法的重要智能算法,通过调整等式和不等式约束来解决最优无功分配问题。为优化有功和无功功率分配而考虑的目标函数是使传输功率损耗最小。为了解决ORPD问题,使用MATLAB软件对基于Newton Raphson方法的粒子群优化(PSO)进行了编码,并将模拟结果与“内部点”方法进行了比较,以此作为最小化Nordic 44系统中传输损耗的经​​典方法。 。 Nordic 44系统由三个国家组成,包括挪威,芬兰和瑞典,并拥有44辆公交车,67个分支机构和61个发电机。结果表明,与其他方法相比,该算法在减少Nordic 44的总功率损耗方面的有效性。将该方法针对Nordic 44系统的仿真结果与针对OPD问题的PSO算法的结果进行了比较。在几个网络中,包括IEEE 14总线,30总线和57总线。

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