An optimal power flow with a quadratic environmental constraint using partial least squares technique

Power plants contribute substantially to fine particulate pollution which results in hazardous environmental effects. Air quality can be improved by relocation of real power output between power plants. However, this relocation should include spatial, temporal and chemical effects that contribute towards formation of particulate matter. This paper presents a novel air quality constrained optimal power flow which implicitly includes locational, temporal and chemical aspects. A quadratic response surface of an air quality model is included as an environmental constraint in a DC optimal power flow (OPF). Simulation results on an equivalent model of North Eastern Power Coordinating Council (NPCC) demonstrates the successful implementation of the model to reduce particulate matter at an arbitrary location and time period (NY state) on 14th July 2005.