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A new perspective in power loss reduction of ninety two buses integrated D-STATCOM

机译:九十三公共汽车的电力损耗减少了一个新的视角,集成了D-Statcom

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摘要

The electrical energy demand continues to increase along with the rapid development of technology and population growth. Fulfilling the electricity supply is a challenge for the operation of the electric power system since the construction of distribution and transmission infrastructures require large costs and such long time process. The complexity of the power distribution system itself may affect the voltage deviation and power loss parameters. The more complex of the distribution system was configured the more critical impacts on those disturbance parameters encountered entire the power network. The main contribution in this research is exploring on 99 bus context with D-STATCOM injection to increase the voltage profile, reducing the total active power loss and optimal size of D-STATCOM using the Optimal Power Flow (OPF) method for load flow analysis and Particle Swarm Optimization (PSO) in optimizing total loss active power and size of D-STATCOM on a radial distribution network system. This study aims to improve the distribution network performance in terms of the voltage profile, the total active power loss through optimal D-STATCOM placement. Optimization uses the Optimal Power Flow (OPF) method based on Particle Swarm Optimization (PSO). The proposed algorithm is calculated numerically for the North Makassar distribution system with ninety two buses included a network pattern open-loop radial configuration and the total load reaches 4.914 MW. The optimized computation algorithm result a minimum voltage profile of up to 0.73%, an average voltage profile up 0.8% or 4kV and a minimum total active power loss around 10.53%.
机译:随着技术和人口增长的快速发展,电能需求持续增加。满足电力供应是电力系统运行的挑战,因为分配和传输基础设施的构建需要大的成本和如此长的时间。配电系统本身的复杂性可能会影响电压偏差和功率损耗参数。配置系统的更复杂被配置为对整个电网遇到的那些干扰参数的影响更大。本研究的主要贡献正在进行99总线上下文,使用D-Statcom注入来增加电压曲线,使用最佳功率流量(OPF)方法来降低D-Statcom的总有源功率损耗和最佳尺寸。粒子群优化(PSO)在优化径向分布网络系统上优化D-Statcom的总损耗功率和大小。本研究旨在通过最佳D-Statcom放置来改善电压曲线的分布网络性能,通过最佳D-Statcom放置。优化使用基于粒子群优化(PSO)的最佳功率流(OPF)方法。所提出的算法在数值上计算,用于北方Makassar分配系统,其中九十二个总线包括网络模式开环径向配置,总负载达到4.914 MW。优化的计算算法导致最小电压曲线高达0.73%,平均电压分布为0.8%或4kV,最小总有功功率损耗约为10.53%。

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