Study On Optimal Scheduling Model And Algorithm Of Cascaded Hydroelectric Power Plants

With energy shortage and reform of electric power system, progress of hydroelectric power plants preferential and fast is a necessary choice to adjust energy structure and carry sustainable development strategy into execution. The problem of cascaded hydroelectric power plants optimal scheduling is paid attention heavily due to remarkable economic benefits. This paper studies advanced strategy of particle swarm optimization (PSO) algorithm, handling method of multi-objective optimization, cascaded hydroelectric power plant long-term optimal scheduling, and hydrothermal power systems short-term optimal scheduling. The achievement of this paper is important to utilize cascaded hydroelectric power plants effectively and to promote comprehensive benefits of power systems, and has significant reference value.To overcome the shortcoming of easily local optimum of PSO, this paper presents a hybrid advanced strategy, which combine dual adaptation degree method, dynamic neighborhood field operator and randomly dynamically adjusting inertia weight method. The simulation results show that the proposal strategy can boost up local convergence ability and quicken convergence speed of particles, and is a simple effective approach to solve nonlinear programming problem with complex constraint conditions.The multi-objective optimal method is an important means to solve many actual engineering problems. This paper presents an interactive decision-making mathematic disposal approach. This proposal approach is convenient to avoid artificial randomicity of objective weight, and can embody the dominant effects of decision maker subjective factors. The simulation results show that the proposal approach is simple and practicable.This paper discusses the correlative problems of cascaded hydroelectric power plants optimal scheduling and establishes a long-term optimal scheduling model based on flood and dry time-of-use power price. The computation results based on an actual cascaded hydroelectric power plants show that this model can coordinate generation and water usage better, decrease profitless spill water, exert operational features of cascaded hydroelectric power plants sufficiently. This model can keep up balanced power output in the dry season, and is propitious tostable operation of power system. The advanced PSO algorithm is a simple effective approach to cascaded hydroelectric power plant long-term optimal scheduling problem.This paper analyzes the correlative problems of hydrothermal power systems short-term optimal scheduling, and presents a multi-objective model considering environment protection and saving energy. This model takes total operation costs of thermal power plants, contaminative gas emission and spilling water of hydroelectric power plants as optimal objectives. The simulation results show that this proposal model increases generation benefits of hydroelectric power plants, reduces operation costs of thermal power plants, advances comprehensive benefits of power systems, and provides a novel research thought for hydrothermal power systems short-term optimal scheduling problem.