Optimal Bidding Strategy Of Power Generators In The Short-Term Power Exchange Based On Improved Particle Swarm Optimization Algorithm

This paper focuses on the optimal problem of bidding strategy of power generators in the short-term power exchange. Firstly, we use the profit maximization as the objective function and market condition as well as the generation unit operation conditions as the constraints to establish the optimal pricing model. Secondly, on the basis of PSO, we introduce the MOPSO, and to solve the local optimization problem, we add perturbations into MOPSO to carry out RMOPSO, which is the particle swarm optimization algorithm we called in this paper. Finally, we perform a numerical example and demonstrate the effectiveness of the model.