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Application of Grade Algorithm Based Approach along with PV Analysis for Enhancement of Power System Performance

机译：基于等级算法和PV分析的方法在提高电力系统性能中的应用

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摘要

This paper presents an application of GRADE Algorithm based approach along with PV analysis to solve multi objective optimization problem of minimizing real power losses, improving the voltage profile and hence enhancing the performance of power system. GRADE Algorithm is a hybrid technique combining genetic and differential evolution algorithms. Control variables considered are Generator bus voltages, MVAR at capacitor banks, transformer tap settings and reactive power generation at generator buses. The optimal values of the control variables are obtained by solving the multi objective optimization problem using GRADE Algorithm programmed using M coding in MATLAB platform. With the optimal setting for the control variables, Newton Raphson based power flow is performed for two test systems, viz, IEEE 30 bus system and IEEE 57 bus system for three loading conditions. Minimization of Real power loss and improvement of voltage profile obtained are compared with the results obtained using firefly and particle swarm optimization (PSO) techniques. Improvement of Loadability margin is established through PV curve plotted using continuation power flow with the real power load at the most affected bus as the bifurcation parameter. The simulated output shows improved results when compared to that of firefly and PSO techniques, in term of convergence time, reduction of real power loss, improvement of voltage profile and enhancement of loadability margin.
机译：本文提出了一种基于GRADE算法的方法以及PV分析方法，以解决多目标优化问题，该问题可将实际功率损耗降至最低，改善电压分布并因此提高电力系统的性能。 GRADE算法是一种结合了遗传和差分进化算法的混合技术。考虑的控制变量是发电机总线电压，电容器组上的MVAR，变压器抽头设置以及发电机总线上的无功发电。通过使用MATLAB平台中使用M编码编程的GRADE算法解决多目标优化问题，可以获得控制变量的最优值。利用控制变量的最佳设置，针对两个测试系统（即，针对三种负载条件的IEEE 30总线系统和IEEE 57总线系统）执行基于牛顿拉弗森的功率流。将有功功率的最小化和获得的电压曲线的改善与使用萤火虫和粒子群优化（PSO）技术获得的结果进行了比较。通过使用持续功率流绘制的PV曲线来建立可装载性裕度的提高，其中以受影响最大的母线上的实际功率负载作为分叉参数。与萤火虫和PSO技术相比，模拟输出在收敛时间，减少实际功率损耗，改善电压曲线和提高可装载性裕度方面显示出改进的结果。

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