Energy Efficiency in Modern Power Systems Utilizing Advanced Incremental Particle Swarm Optimization–Based OPF

Since the power grid grows and necessity for higher system efficiency is due to increasing number of renewable energy penetrations, operators need a fast efficient method operating system. One main problems in modern operation that needs be resolved optimal flow (OPF). OPF an generator scheduling meet demands with aim minimizing total production cost plants while maintaining stability, security, reliability. This paper proposes new solve by using incremental particle swarm optimization (IPSO). IPSO algorithm (PSO) modifies PSO structure size, where each changes its position determine position. The advantage population increases iteration so process becomes faster. results research on generation costs, voltage losses obtained are superior conventional method.