| Unit commitment problem is an important subject in the field of electric power system planning and operation. It is of great significance to the stability and economic operation of the system. In the modern large-scale power system, the structure of power generation is gradually tending towards diversification, emergence of a variety of types of power coexist situation. Unit commitment is a key link to realize the structural optimization of various power generation resources and energy in the short term operation of power system, so that the power system can deal with the uncertainty of the future load and the randomness of the renewable energy power generation, and meet the system peak, frequency and reserve demand, to provide the basis for power system economic dispatch and security check.With the increasingly serious environmental problems, in order to take into account the environmental problems, reducing the emission of carbon, sulfur and nitrogen and other gases, the permeability of low carbon resources in power system is increasing gradually, especially in recent years, the electric vehicles and distributed photovoltaic power generation is promoting fast. There will appear the large-scale access grid by the electric vehicle and distributed photovoltaic power generation in the demand side. It is certainly to affect the unit commitment problem. Therefore, the unit commitment model needs to make corresponding improvements on the basis of comprehensive consideration of various kinds of demand side low carbon resources, adapting to the development of the diversified structure of power system.In this paper, the mathematical optimization theory is the basis and guidance. On the one hand, this paper establishes a new unit commitment model based on overall consideration of multiple demand side low carbon resources, such as electric vehicles, distributed photovoltaic power generation and demand response. At the same time, security-constraint is considered in the model. And the solving algorithm for the unit commitment model is also researched in this paper. On the other hand, a fuzzy bi-objective unit commitment issue based on economic and environmental goals is studied.First of all, combined with the characteristics of various demand side resources considered in this paper, the objective function and constraint conditions of conventional unit commitment were modified. At the same time, network security constraint and the permeability of demand side resources were also considered. On the basis of economic and environmental goals, according to the fuzzy, a novel fuzzy bi-objective unit commitment model is established which can consider the relative priority of objective.Secondly, considering the uncertainty of demand side resources and system load, the credibility theory is introduced into the unit commitment model, the constraints of powe balance spinning reserve is dealing with fuzzy chance, establishing the fuzzy chance constrained unit commitment model.Then, based on the characteristics of particle swarm optimization algorithm with strong local searching and shuffled frog leaping algorithm with strong global searching, the particle swarm algorithm and shuffled frog leaping algorithm were improved to a certain extent respectively, and then combine SFLA and PSO by co-evolution mechanism, proposing one kind algorithm which based on co-evolution mechanism of particle swarm optimization and shuffled frog leaping fusion algorithm (CPSO-SFLA).At last, the example simulation were on the 10 units system, IEEE 6 bus 3 units system and IEEE 118 bus 54 units system, the simulation results verify the effectiveness of this model and algorithm. |
PDF Full Text Request