Enhancing grid resilience and efficiency with distributed generators through fuzzified firefly optimization

In a conventional power system, distribution systems tend to incur higher power losses. However, integrating decentralized sources into power networks not only reduces these losses but also alleviates the strain on primary sources. Since centralized power sources are often situated at a distance, incorporating distributed generations (DGs) closer to load centers offers more efficient system operation. However, the lack of proper sizing alignment among secondary sources could result in operational, financial, and ecological complexities. Selecting optimal DG locations and sizes necessitates intricate computational processes, escalating workload demands. Fortunately, advancements in optimization software have simplified this task. The primary focus of this paper lies in optimizing DG allocation through the application of a fuzzified firefly algorithm (FFA). The strategic placement of diverse DG types aims to reduce both real and reactive power losses within the distribution system, followed by an evaluation of system performance indices. The study examines how different types of DGs incorporated into an IEEE-33 bus system elucidate the impact of varying power system loads, spanning from 50 to 150% of their rated value.