Optimal placement of hybrid distributed generators using an enhanced Shuffled Frog Leap algorithm

This research article introduces a sophisticated approach for determining the optimal placement of hybrid distributed generators in the distribution system. The approach combines a shuffled frog leap algorithm with a fuzzy decision-making system. The modified hybrid shuffled frog leap algorithm combines the advantages of shuffled frog leap algorithm and the fuzzy decision-making system to maximize the efficiency and placement of distribution generators, taking into account power loss, voltage drop, and economic factors. This study evaluates the impact of integrating demand-side management and time-of-use demand response programs on the system's economic efficiency. The use of demand side management and time of use demand response programs results in significant enhancements in economic indicators, including reduced overall costs, reduced system losses, and improved voltage profiles. Incorporating these demand response approaches into the modified hybrid shuffled frog leap algorithm framework enhances the efficiency of resource allocation and boosts the reliability of the power distribution network. The validity of the hybrid approach is tested on IEEE-33 bus distribution system. The results demonstrate that the suggested hybrid approach exhibits superior performance compared to scenarios that do not incorporate demand side management and time of use demand response programs. The results show that combining modified hybrid shuffled frog leap algorithm with demand side management and time of use demand response programs works well to make the distribution system most reliable and cost-effective.