Load Frequency Model Predictive Control of a Large-Scale Multi-Source Power System

With increased interests in affordable energy resources, a cleaner environment, and sustainability, more objectives operational obligations have been introduced to recent power plant control systems. This paper presents verified load frequency model predictive (MPC) that aims satisfy the demand of three practical generation technologies, which are wind systems, clean coal supercritical (SC) plants, dual-fuel gas turbines (GTs). Simplified state-space models for two thermal units were constructed by concepts subspace identification, whereas individual turbine integration was implicated Hammerstein–Wiener (HW) then augmented from output simulate effect farm, assuming similar harvesting all farm. A strategy suggested, as follows: with changing demand, available harvested must be fully admitted network cover part free energy, resultant signal will instructed MPCs designed coordination generation. The signal, after being penetrated wind, has transients faster changes, needs sophisticated order follow flexible units. Furthermore, level penetration increases, system excursions higher. simulation results show an acceptable performance linear embedded GT units, around 90 MW share without exceeding safe restrictions plants allowable reasonable excursions. complete framework can used facilitate such systems train operators future engineers subsequent studies.