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A New Fractional Particle Swarm Optimization with Entropy Diversity Based Velocity for Reactive Power Planning

机译:基于熵分集的功率规划速度新的分数粒子群优化

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摘要

Optimal Reactive Power Dispatch (ORPD) is the vital concern of network operators in the planning and management of electrical systems to reduce the real and reactive losses of the transmission and distribution system in order to augment the overall efficiency of the electrical network. The principle objective of the ORPD problem is to explore the best setting of decision variables such as rating of the shunt capacitors, output voltage of the generators and tap setting of the transformers in order to diminish the line loss, and improve the voltage profile index (VPI) and operating cost minimization of standard electrical systems while keeping the variables within the allowable limits. This research study demonstrates a compelling transformative approach for resolving ORPD problems faced by the operators through exploiting the strength of the meta-heuristic optimization model based on a new fractional swarming strategy, namely fractional order (FO)–particle swarm optimization (PSO), with consideration of the entropy metric in the velocity update mechanism. To perceive ORPD for standard 30 and 57-bus networks, the complex nonlinear objective functions, including minimization of the system, VPI improvement and operating cost minimization, are constructed with emphasis on efficacy enhancement of the overall electrical system. Assessment of the results show that the proposed FO-PSO with entropy metric performs better than the other state of the art algorithms by means of improvement in VPI, operating cost and line loss minimization. The statistical outcomes in terms of quantile–quantile illustrations, probability plots, cumulative distribution function, box plots, histograms and minimum fitness evaluation in a set of autonomous trials validate the capability of the proposed optimization scheme and exhibit sufficiency and also vigor in resolving ORPD problems.
机译:最佳无功功率调度(ORPD)是网络运营商在电气系统规划和管理中的重要关注,以减少传输和分配系统的实际和无功损耗,以增加电网的整体效率。 ORPD问题的原理目的是探讨决策变量的最佳设置,例如分流电容的额定值,发电机的输出电压,敲击变压器的设置,以便减少线路损耗,并改善电压曲线索引( VPI)和标准电气系统的运营成本最小化,同时将变量保持在允许的限度内。该研究表明,通过利用基于新的分数蜜饯策略,即小数顺序(FO)-Paricle Swarm优化(PSO),通过利用元学优化模型的强度来解决运营商面临的ORPD问题的令人信服的变革方法考虑速度更新机制中的熵度量。为了认为标准30和57总线网络的奥普德,包括最小化系统,VPI改善和操作成本最小化的复杂非线性物理功能,并强调整体电气系统的功效增强。评估结果表明,通过改进VPI,操作成本和线路损耗最小化,提出的FO-PSO具有比熵度量的更好地表现优于现有技术的其他状态。在一组自主试验中,定量定位图,概率图,累积分布函数,箱图,直方图和最小健身评估的统计结果验证了所提出的优化方案和表现在解决ORPD问题方面的能力,以及致力于解决ORPD问题的能力。

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