In the paradigm of the increasing trend towards decarbonisation, the use of sustainable renewable energy is widely recommended. Network reconfiguration, together with the incorporation of battery energy storage systems (BESS), facilitates the integration of renewable power and enhances the loadability of the system, leading to prolonged utilization of the existing equipment. Optimized allocation of PV-DG and BESS is implemented using particle swarm optimization (PSO) in the present work. Dynamic hourly and static seasonal reconfiguration with optimally allocated PV-DG and BESS is presented. Moreover, static annual reconfiguration, followed by the optimal apportionment of distributed resources, is achieved. The reconfiguration objectives considered are loss minimization as well as voltage, and loadability improvement. Hourly and seasonal variations in load and PV-DG generated power are taken into account. Additionally, ‘P’ and ‘PQV’ buses are incorporated in the load flow algorithm used in reconfiguration to facilitate remote voltage regulation. A comparison of the net annual energy savings is made among the three types of reconfiguration for three scenarios, namely, a system with PV-DG only, a system with PV-DG and BESS, and a system with PV-DG, BESS and P and PQV buses.

在脱碳趋势日益增长的范例中，广泛建议使用可持续可再生能源。网络重新配置以及电池能量存储系统（BESS）的整合，促进了可再生能源的整合并增强了系统的可负载性，从而导致现有设备的长期使用。在当前工作中，使用粒子群优化（PSO）实现了PV-DG和BESS的优化分配。提出了动态小时和静态季节性重新配置以及最优分配的PV-DG和BESS。此外，实现了静态的年度重新配置，然后实现了分布式资源的最佳分配。所考虑的重新配置目标是损耗最小化以及电压和负载能力的提高。考虑了负载和PV-DG发电量的每小时和季节性变化。此外，“ P”和“ PQV”总线被合并到用于重新配置的潮流算法中，以促进远程电压调节。在三种方案的三种重新配置类型之间，比较了年度净节约能源量，即仅使用PV-DG的系统，使用PV-DG和BESS的系统以及使用PV-DG，BESS和P的系统和PQV总线。