Capacity Optimization Of Wind/PV Hybrid Power Generation System Based On Life Cycle Cost/carbon Emissions

With the global warming and the depletion of fossil fuels,reducing greenhouse gas emissions and developing-utilizing clean-renewable energy has became one of the common challenges to human race.Developing and utilizing wind power and solar power plays a positive effect on energy-saving and emission-reduction.The wind/PV hybrid power generation system can effectively improve the utilization rate of wind power and solar power and the quality of system output power by using the complementary features of wind power and solar power in time and climate.In addition,rationally configure the capacity of the wind/PV hybrid power generation system according to the distribution of wind and light resources not only can decrease the system energy waste but also can reduce the system energy cost and carbon dioxide emissions.Firstly,study the composition and structure of the wind/PV hybrid power generation system,and explore the characteristics and main performance parameters of wind turbines,photovoltaic cells and batteries on the wind/PV hybrid power generation system;study the power output models of each power generation unit.Secondly,establish the calculation model of the life cycle cost and carbon dioxide emissions on the wind/PV hybrid power generation system.Based on the cost calculation model and the initial input operation-maintenance fees,post-processing fee and carbon dioxide emissions calculation models of each power generation unit product the carbon dioxide emissions during the stage of transportation,installation,operation-maintenance,disposal processing and environmental damage during the project construction process,we considered from both positive and negative benefits to establish the system environmental benefit calculation model,and using carbon dioxide emissions as a preference indexes and using gray correlation analysis to establish a system comprehensive benefit evaluation model.Next,study the capacity configuration of the wind/PV hybrid power generation system based on the life cycle cost.In order to avoid the standard particle swarm algorithm falling into the local extreme value prematurely in the optimization process,we improved the inertia weight of the algorithm and adopted a nonlinear dynamic inertia weight strategy.Based on improve particle swarm algorithm and use least life cycle cost as the objective function,we configured the system capacity under the constrained conditions of revenue cost,load shortage rate,energy waste rate,battery capacity and so on.Simulate the study Simulate and solve the example in the environment of MATLAB,the results show that the search ability of improved particle swarm optimization is better than before improvement,and the improved capacity configuration scheme not only can reduce the system cost,but also reduce the energy waste rate.Finally,taking the minimum carbon dioxide emission of the system life cycle as the objective function,study the optimal configuration of system capacity by considering the constrained conditions of the existing power transmission and transformation capacity,frequency of wind and optical power coincidence,reserve capacity,wind and solar complementation,energy waste rate and so on.In addtion,taking a wind/PV hybrid power generation system as an example for simulation calculation,the results show that under the same grid power,the optimized capacity configuration scheme has the least amount of carbon dioxide emissions.