Improved Artificial Bee Colony Algorithm And Its Application In Optimal Operation Of Cascade Reservoirs

With the development of our country’s hydropower industry, the cascade reservoirs have become the most common water conservancy project, and its optimization scheduling is the core of the whole water resources development and utilization optimization. The optimization of cascade reservoirs is a complex nonlinear problem with multi-period and multi-constraints. Although the traditional scheduling method can solve the problem of single reservoir optimization, it will fall into the ‘dimension disaster’ with the increased dimensional number of the optimization problem. With the rapid development of intelligent optimization algorithms, such as particle swarm optimization, artificial bee colony algorithm and differential evolution algorithm, a novel and effective way is provided for the optimal scheduling problem of cascade reservoirs.For its simplicity and good performance, ABC has been utilized to solve many kinds of problems to real world. However, there are still many deficiencies in the standard artificial bee colony algorithm. In this paper, the artificial bee colony algorithm is the research object, and the cascade reservoir scheduling is the target, the main results are as follows:(1) To accelerate the convergence of artificial bee colony algorithm, an adaptive artificial bee colony algorithm was proposed which combined with the crossover of differential evolution algorithm and the learning idea of particle swarm optimization;(2) ABC would easily fall into local optimum when its convergence speed is accelerated. Therefore, the disturbance which named different dimensional learning was researched, and proposed an improved artificial bee colony algorithm;(3) Single evolution model would lead to the imbalance of the search ability, so three basic search mechanisms are summarized and improved to make a good balance between exploration and exploitation. Then, a hybrid artificial bee colony algorithm with different search mechanisms was proposed;(4) This paper introduced the mathematical model of reservoir operation, and analyzed the problems which need to be solved in the application, then applied the three improved artificial bee colony algorithms to the optimal operation of cascade reservoirs in Qingjiang.