The end-of-term storage energy maximization model of cascaded hydropower station is complicated to solve. Using Lagrange relaxation method directly, the solution efficiency is low for it involves the update iteration of large scale multiplier vector. In this paper, a simplified solution method is proposed in order to reduce the impact of the multiplier scale on the solution. The period cascade power constraints are replaced by one constraint. Then the new constraint is further approximated using the aggregate function and a dual optimization problem with only one multiplier is established. The sub-gradient method and successive approximation method are used to solve the new problem. Case study for Wu River cascaded hydropower system shows that the method can effectively reduce problem complexity, improve solution efficiency and solution quality, and satisfy the timeliness and practicality requirements of short-term optimal scheduling.
展开▼
