Location and size selection using hybrid Jaya‐Luus‐Jaakola algorithm for decentralized generations in distribution system considering demand‐side management

Abstract In the distribution system, decentralized generation is incorporated to maximize system reliability and economic stability, avoid redundancy in system. The efficient implementation of distributed‐generations (DGs) a distribution‐system (DS) can be done by employing demand‐side management (DSM). this research proposal, location size selection DGs DS considering DSM accomplished using hybrid Jaya‐Luus‐Jaakola (JLJ) algorithm. hybridization Jaya algorithm (JA) with Luus‐Jaakola (LJA) view improving rate convergence Three design objectives minimization active power loss voltage deviation along maximization stability index are considered proposal. These under consideration integrated together form problem single objective assignments weights. formulated minimized proposed subjected constraints such as balance power, limits on bus line capacity, level DGs. A static penalty added case any constraint violations. photo‐voltaic‐based DG used 33‐bus standard radial‐distribution‐system (RDS). scenario created shifting some loads peak hours off‐peak minimizing total cost generation. potency superiority validated help comparison results obtained exploiting method acquired from available state‐of‐art algorithms literature. proves comparative superior performance