Modelling of Coordination of Wind and Combined-Cycle Natural Gas Power Plants Using Modern Control Systems In todays world, due to the increasing fuel prices and environmental issues, producing clean and cheap energy becomes one of the major problems for the scientific minds of our world. Due to the instability of the energy from renewable sources, we always require a controllable and stable energy source to supplement the ever growing energy demand.
In this thesis, the purpose is to produce an automation system to control the production of this cheap and clean energy and a model to test the active load control and frequency issues. In this model, the renewable energy is considered non controllable and will be left outside of the control loop.
For this reason four types of power stations were used: One Combined cycle natural gas power plant, one natural gas power plant, one fuel-oil power plant and one coal powered power plant. This model with 4 plants and 15 units made up the test model for out optimization process.
The control model is made up off small parts for every power plant. These parts are combined to make units, which are combined to make the plants and at last the plants are combined to produce the system model. For each of these plants, 6 different types of controllers were tested with parameters set specifically for the plants. These controllers are, PI, particle Swarm Optimization optimized PI (PSO-PI), Artificial Bee Colony optimized PI (YAK-PI), PID controller, Particle Swarm Optimization optimized PID (PSO-PID), Artificial Bee Colony optimized PID (YAK-PID).
