Presenting a new method for optimal placement of reliability-based distributed generation units in the transmission system considering the demand response schedule

Emerging technologies in power systems, such as distributed generation (DG), are a result of society's growing need for dependable electrical power. Demand response (DR) applications will be widely used in the near future thanks to recent advancements in information and communication technologies (ICT), advanced metering infrastructure (AMI), and wide area metering systems (WAMS). Through the use of a placement index, this study optimizes the placement of DG units in transmission systems with the goal of enhancing the reliability of the power supply. The placement index considers both economic and reliable factors. The location of DG in this problem is actually the key contribution of this research. On the basis of minimizing power losses, unit voltage variations, operating expenses of transmission and exploitation networks, and maximizing dependability, the multi-objective function is developed. Based on a balance between customer and vendor satisfaction, reliability indicators are chosen. Particle swarm optimization (PSO) and teaching–learning-based optimization (TLBO) algorithms are used to solve this issue. The implementation of the optimization issue solution uses MATLAB software. The genuine 138 and 230 kV 24-bus system (RTS-79) is used to test this methodology. The test results demonstrate that the objective function can be enhanced by optimally distributing DG resource production capacity in accordance with the suggested techniques. It is clear from the results that the TLBO algorithm outperforms PSO in terms of reliability and power loss reduction.