Firefly analytical hierarchy algorithm for optimal allocation and sizing of DG in distribution network

Abstract

<span lang="EN-MY">Distributed generation (DG) can be beneficially allocated in distribution power systems to improve the power system's efficiency. However, specious DG's allocation and sizing may cause more power loss and voltage profile issues for distribution feeders. Therefore, optimization algorithms are vital for future intelligent power distribution network planning. Hence, this study proposes a multi-objective firefly analytical hierarchy algorithm (FAHA) for determining the optimal allocation and sizing of DG. The multi-objective function formulation is improved further by integrating analytical hierarchy process (AHP) with FA to obtain the weight of the coefficient factor (CF). The performance of the proposed approach is verified on the 118-bus radial distribution network with different bus voltage at DG location (VDG) as regulated PV-bus during load flow calculations. The calculated CF and impact of the unregulated voltage at the PV-bus on the objectives function have been analysed. The findings show that the proposed techniques could allocate the DG at the most voltage deviation while minimizing the power loss and improving the radial distribution’s voltage stability index (VSI). The experimental results indicate that the approach is able to improve the overall voltage profile, especially at PQ-buses, minimize the power loss while improving the network's stability index simultaneously.</span>

Effects of integration of distributed generation on reliability in distribution system

“…One of the ways by which above objective can be met is integration of distributed generation (DG) [4]. Many researches are done to find the benefits of DG integration into the electrical system [5]. Presently, DG technology is inviting the power engineer as a substitute for the conventional central power supply, to reduce voltage drop, losses and recover the reliability in the system.…”

Optimization and analysis of distributed generation units in distributed system for minimizing losses

“…Their approach, applied to both IEEE 33 and a real-time 52 bus distribution system, aimed to balance cost-benefit and voltage stability while reducing power losses and network security risks. Bujal et al [13] proposed a novel multiobjective approach using the firefly analytical hierarchy algorithm. This method, enhanced by integrating the analytical hierarchy process with the firefly algorithm, was designed to find the optimal allocation and size of DG.…”