Application of Multi-agent Evolutionary Algorithm for Load Optimal Dispatching among Power Plant Units

This paper deals with load optimal dispatching among power plant units in the context of electric power market competition environment. The multi-agent evolutionary algorithm (MAEA) is specially useful in load optimal dispatching, the model of which is set up based on characteristic curve of the generator coal consumption approached by quadratic function. In particular, the following restraints are considered: power balance, spinning reserve, upper and lower limit, unitpsilas suspending times, minimum continuous suspending time and the minimum continuous running time, and power response speed. The proposed MAEA used in the load optimal dispatching among power plant units for the first time is proved to be feasible and efficient in the simulation result of the example.