Research On Small Hydropower Station Optimal Scheduling Considering Ecological Factor

Small hydropower is a clean and renewable energy which plays an important role in economic and social development, but the operation also caused irreversible effects on the fragile ecological environment. In recent years, with the raise of sustainable development and the awareness of environmental protection, operation and management of small hydropower shift from routine scheduling to the optimal scheduling, ecological factors consider into the daily schedule of small hydropower also become a trend. Based on the evaluation of the ecological impact of small hydropower operation, this paper changes the way of small hydropower scheduling and takes the ecological factors into considerations. For small hydropower optimization scheduling problem, the corresponding optimization model and intelligent optimization algorithms have been proposed, which provide some new ideas and approaches for ecological repair and operation of hydropower station. The specific work is as follows:Aiming at the practical problems of small hydropower station scheduling, this paper analyzes several common scheduling principles, builds the models of considering the ecological factors and constraints.This paper did some researches on the calculation of the ecological water requirements which aimed at the optimization of the maximum power output in hydropower station considering the ecological factors in the river reservoir. In view of the defects that the standard particle swarm optimization algorithm has slow convergence speed and easy to trap into local optimal solution, an opposition-based initialization mechanism was introduced, and proposed a dynamic neighborhood topology which adjusts the information exchange between particles by changing the neighborhood structure dynamically. Simulation results show that this algorithm has a strong global search ability and rapid convergence speed which can effectively solve such a multi-constraint, nonlinear problem in small hydropower.Related concepts and research status of multi-objective optimization techniques are discussed with relevant developments, aimed at the scheduling problem of small hydropower optimization considering ecological factors, the maximum power generation and ecological water shortage minimization as the objective considered respectively, presents a multi-objective particle swarm optimization algorithm based on dynamic grid, and measured data for background calculation and simulation examples, the results indicate that the method is suitable for small hydropower which is a multi-objective optimization scheduling problem.Combined with the research, the management and control system of small hydropower optimization was developed, the main design and the system function were introduced.The last part is the summary of the full text and the direction of further research.