The Impacts And Optimising Strategy Of Low Carbon Technologies Integrating Distribution System

In recent years, the greenhouse gases emission has led to severe environmental problems, especially the emission of carbon dioxide, which has drawn the attention of governments worldwide. In order to solve this negative situation, governments have issued some policies and incentives to encourage the application of low carbon technologies, such as solar photovoltaic generation, wind turbine generation, electric vehicles, heat pump and so on. To date, low carbon technologies integration capacity, especially solar photovoltaic and electric vehicle, has already expanded enormously, and has a promising potential due to encouragement from governments, therefore this would certainly exert impacts on distribution networks. Large-scale low carbon technologies integration could impair power quality, and change the equivalent load, which will result in power system instability. Therefore certain planning and research on the application of low carbon technologies in the distribution networks have imperative meanings.In this dissertation, solar photovoltaic and electric vehicle are chosen to represent low carbon technologies. Based on a British33/11kV domestic typical distribution network and Matlab PSAT software, the equivalent load curves and relevant impact on the distribution network after integrating solar photovoltaic and electric vehicles are researched. An optimising strategy to control electric vehicle charging considering solar photovoltaic integration is proposed, which could manage the stable and effective interconnection between low carbon technologies and distribution network. The optimising strategy could adjust electric vehicle charging dynamically based on the optimising targets of three aspects:minimal net loss, maximal equivalent load rate and minimal voltage violation. The main tasks of this dissertation are listed in the following:(1) Build the model of British33/11kV domestic typical distribution network based on Matlab PSAT software and collected data, and evaluate solar photovoltaic integration capacity under the scenario of2020. After utilising PSAT power flow calculation function, the24hours steady states of the network before and after integrating solar photovoltaic are obtained, and the impact brought by solar photovoltaic integration is observed.(2) Quantify the impacts brought by disordered charging and off-peak charging under different electric vehicle integration levels from the aspects of load, bus voltage, line capacity and net loss. The violations of bus voltage and line capacity under different scenarios are recorded, and the comparison between disordered charging and off-peak charging is also completed.(3) An optimising strategy to control electric vehicle charging considering solar photovoltaic integration is proposed, which has the optimising targets of three aspects: minimal net loss, maximal equivalent load rate and minimal voltage violation. The strategy calculates24hours electric vehicle charging and discharging power based on PSO algorithm. This optimising strategy is utilised in the British33/11kV domestic typical distribution network, and it proves to be effective after comparing with disorder charging and off-peak charging in the aspects of net loss, equivalent load and bus voltage. This optimising strategy could improve the capacity to integrate low carbon technologies, and manage the stable and effective interconnection between low carbon technologies and distribution networks.