Belbachir Nasreddine, Zellagui Mohamed, Mahmoud Haitham A, Hashim Fatma A, Shawi Radwa El, Yagin Fatma Hilal, Al-Tam Riyadh M
Department of Electrical Engineering, University of Mostaganem, 27000, Mostaganem, Algeria.
Department of Electromechanical Engineering, University of Batna 2, 05078, Batna, Algeria.
Sci Rep. 2025 Apr 15;15(1):12871. doi: 10.1038/s41598-025-97606-y.
The never-ending issue of inadequate energy availability is constantly on the outermost layer. Consequently, an ongoing effort has been made to improve electric power plants and power system configurations. Photovoltaic Distributed Generators (PVDG) and compensators such as Distributed Static Var Compensator (DSVC) are the center of these recent advances. Due to its high complexity, these devices' optimum locating and dimensions are a relatively new issue in the Electrical Distribution Grid (EDG). A modified version of Newton Raphson Based Optimizer (mNRBO) has been carried out to optimally allocate the PVDG and DSVC devices in tested IEEE 33 and 69 bus EDG. The mNRBO algorithm integrates four parameters to enhance NRBO's performance by addressing its limitations in balancing exploration and exploitation. The article suggested novel Multi-Objective Functions (MOF), which have been considered to optimize concurrently the overall amount of active power loss (APL), voltage deviation (VD), relays operation time (TR), as well as improve the coordination time interval (CTI) between primaries and backup relays set up in EDG. The proposed mNRBO algorithm surpasses its basic NRBO version, as long as another alternative algorithm, while providing very good results, such as minimizing the APL from 210.98 kW until 26.482 kW and 224.948 kW until 18.763 kW for the IEEE 33 and 69 bus respectively. Which proves the capability of the mNRBO algorithm of solving such power system challenges.
能源供应不足这个永无休止的问题一直处于最外层。因此,人们一直在不断努力改进发电厂和电力系统配置。光伏分布式发电机(PVDG)和诸如分布式静止无功补偿器(DSVC)之类的补偿器是这些最新进展的核心。由于其高度复杂性,这些设备的最佳定位和尺寸在配电网(EDG)中是一个相对较新的问题。一种基于牛顿拉夫逊的优化器的改进版本(mNRBO)已被用于在经过测试的IEEE 33和69节点配电网中对PVDG和DSVC设备进行优化配置。mNRBO算法集成了四个参数,通过解决其在平衡探索和利用方面的局限性来提高NRBO的性能。本文提出了新颖的多目标函数(MOF),这些函数被认为可以同时优化有功功率损耗(APL)总量、电压偏差(VD)、继电器动作时间(TR),以及改善配电网中设置的主继电器和后备继电器之间的协调时间间隔(CTI)。所提出的mNRBO算法超越了其基本的NRBO版本,同时优于另一种替代算法,并且能提供非常好的结果,例如对于IEEE 33节点和69节点,分别将APL从210.98千瓦降低到26.482千瓦和从224.948千瓦降低到18.763千瓦。这证明了mNRBO算法解决此类电力系统挑战的能力。