| Microgrids integrate different kind of DGs(Distributed Generation)and ESS(Energy Storage System).Usually microgrids operate in island mode to supply electric power to remote areas,or connect to the power grid to shift peak load,which has positive effects to the stability of the gird.Moreover,renewable energy can be efficiently utilized in microgrid that make great contribution to alleviate the exhaustion of fossil fuels and the increasing seriousness of environmental pollution.Optimal planning and sizing of DGs and ESS of microgrids are very important and critical to the lifecycle economic and operation reliability of microgrids.Considering carbon emission reduction,an optimal sizing method for low-carbon-emission microgrid is significative to the future development of microgrids.This paper focuses on 3 typical microgrids to study the influences of different carbon taxes rates in the optimal sizing of DGs and ESS of microgrids,the main work is as follows.Firstly the model of DGs such as photovoltaic(PV),wind turbine(WT),micro turbine(MT)and battery are analyzed.Secondly,different operation strategies for a single-node stand-alone microgrid,a single-node grid-connected microgrid and a multi-node stand-alone microgrid are made to improve the efficiently use of renewable energy.Moreover,the formula of renewable energy penetration rate,loss of power supply probability,and renewable energy utilization rate are derived from the strategies.And then considering the carbon taxes,taking lifecycle economic as an objective and combining with constrains,optimization sizing models for 3 structure microgrids are established.The power loss between the nodes is considered in the multi-node stand-alone microgrid.In case studies,the influences of different carbon taxes rates to the sizing of DGs and ESS,renewable energy penetration rate,carbon emission reduction and the lifecycle economic are analyzed.Finally,the comparative analysis of carbon taxes rate influence to the 3 typical structure microgrid is given,which illuminates the reference of the microgrids optimization sizing method. |