Dynamic Economic Dispatch For Wind Power Integrated Power Systems

Dynamic economic dispatch is a high dimension, nonlinear, multi-constrained mixed integer optimization problem. It is difficult to get the optimal solution. But since it has great economic benefits, the study of the dynamic economic dispatch problems is of great significance under the economic requirements of the electricity markets.The integration of wind power brings new problems to dynamic economic dispatch. The randomness and volatility of wind power not only increases the difficulty of dispatching, but also puts forward higher requirements to the ramping rates of conventional units and the spinning reserve. To deal with the randomness and volatility of wind power, the positive and negative spinning reserves are introduced into the model to cope with the power imbalances. Interruptible load, as a kind of special spinning reserve, is also introduced. Then a dynamic economic dispatch model considering spinning reserve costs is established. As to solving the model, an improved particle swarm optimization is adopted. The algorithm firstly enhances some parameters to improve the particles'abilities to find the optimal solution; then the priority list method is introduced to solve the unit commitment problem, avoiding the randomness of particles in initialization and modification and improving the convergence speed.An example is used and shows that the integration of wind power reduces the fuel costs, but it requires the power system to provide additional spinning reserve. Besides, the conventional units'status of on and off and their outputs are also affected. It also shows that proper use of interruptible load will improve the economy of the whole system. And the proposed algorithm can quickly and efficiently solve such economic dispatch problems.