Optimized Planning Method For Locating And Sizing Of Multi-microgrids

With the increasingly serious energy crisis and environmental pollution problems,microgrid is more and more applicated in distribution network,adjacent microgrid on geography can be interconnected system of region multi-microgrids.Regional multiple microgrids system can effectively improve the level of renewable energy access distributed generation and microgrid ability to cope with uncertain of output of distributed generation,but the region multi-microgrids system optimization planning method research is very limited.This thesis start from modeling research for component unit of the multimicrogrids system.Firstly,establishing a distributed generation output model and storage model,as a foundation for multi-microgrids optimal planning method considering load reliability and renewable energy penetration;Secondly,building distributed generation output probability model and load probability model,as a foundation for tie-line energy flow of each single microgrid composited multimicrogrid system considering uncertainty.With the trend of higher and higher renewable energy penetration and more and more microgrids in distribution system,a multi-microgrids optimal planning method considering different renewable energy penetration and load reliability is proposed in this thesis.First of all,multi-microgrids network layout considers fully the reliability of important load,constituting microgrid in the important load and multi-microgrids by using the existing link.Then,the distributed generation and energy storage capacity configuration considers the renewable energy penetration in multi-microgrids and supporting between microgrids,studying annual comprehensive revenue of multimicrogrid system and each microgrid,and the size and the change rule of distributed power and energy storage capacity under the different penetration of renewable energy and biggest comprehensive revenue of multi-microgrid system.The immune genetic algorithm is adopted to solve the planning of distributed generation and energy storage in multi-microgrids.The IEEE 33-node test system is used to testify the proposed method and it proves the effectiveness in the direction of the multi-microgrid planning.Based on uncertainty of photovoltaic power generation,wind power generation and load size,this thesis conducted a study on tie-line energy flow of each single microgrid composited multi-microgrid system considering uncertainty.Firstly,transforming uncertainty of distributed generation and load into economic problems;Then,seeing an hour as a period of time(assuming the distributed generation output and load size remains the same in one hour),and studying multi-microgrid system tieline energy flow on the optimal economy of each single microgrid composited multimicrogrid system all the time in a year,and it is concluded that tie-line energy flow and economy of each single microgrid;Finally,five-microgrid system confirmed the effectiveness of this method.In order to improve that the proposed optimized planning method for locating and sizing of multi-microgrids is practical,using c + + / Qt development environment to develop the regional multi-microgrids system planning software platform.This platform can read in external input information such as the distributed generation and load,the objective function and constraint condition selection,display the result that the optimal configuration for distributed generation and the energy storage in multimicrogrids.The application of the proposed method is of great significance.