Scheduling Strategy Of Energy Storage In Wind-solar-battery Hybrid Power System Based On Dependent-chance Programming

Energy crisis and environmental pollution have present a severe challenge on human survival and development so there is an urgent need to find a safe and pollution-free renewable energy. A wind-solar-battery hybrid power system combined with wind power, photovoltaic and energy storage devices provides a new way of thinking for new energy generation connected to the grid. However, the scale of the energy storage devices is limited and there is a error in the wind power, photovoltaic output prediction. So the most important problem to be solved is how to make the schedule plan of the energy storage devices in current situation to make it achieve the target that tracing planned power curve to realize the new energy schedulable.This paper has done following studies aiming at this problem:First, the basic structure and operating principle of the wind-solar-battery hybrid power system is introduced. Then a further introduce is given on the three main components of the hybrid system including the wind power system, the photovoltaic system and battery energy storage system. Research has been focused on the structure, working principle, the relevant parameters and operating characteristics of the three parts.Then, the mathematical theory and methods used in the model have been introduced. Started from the credibility theory, and the classification of the fuzzy programming method is introduced, then the focus is on the dependent-chance programming method and its various categories, in order to leading to the dependent-chance goal programming method.Finally, a hybrid intelligent algorithm is proposed to solve the model which is proposed above. This chapter introduces the three elements used in the hybrid intelligent algorithm first——fuzzy simulation, neural network and particle swarm algorithm. Introduced the formula of the fuzzy simulation methods; the role of neural networks in hybrid intelligent algorithm; and focuses on the knowledge of the PSO algorithm, an improved algorithm is proposed based on the shortcomings of the algorithm. Then the process of the hybrid intelligent algorithm is introduced. Finally, an example of the wind-solar-battery hybrid power system is proposed algorithm to simulate and verify the proposed algorithm, and then a horizontal comparison is given between the results with results from other methods. Numerical examples show that this method is effective.