Demand response has the potential to bring significant benefits to the optimal sizing of distributed generation(DG) resources for microgrids planning. This paper presents an integrated resources planning model conside...Demand response has the potential to bring significant benefits to the optimal sizing of distributed generation(DG) resources for microgrids planning. This paper presents an integrated resources planning model considering the impact of interruptible loads(ILs) and shiftable loads(SLs) in microgrids, which simultaneouslydeals with supply side and demand side resources and minimizes the overall planning cost of the microgrid. The proposed model can be applied to offer a quantitative assessment how IL and SL can contribute to microgrid planning. The pure peak clipping model with IL and SL is also provided for comparisons. Moreover, sensitivity analysis of parameters in the model is performed.Numerical results confirm that the proposed model is an effective method for reducing the planning cost of microgrids. It was also found that the major contributing factors of IL and SL have great impact on the economic benefits of the proposed model in low-carbon economy environments.展开更多
基金supported by National Natural Youth Science Fund Project (No. 51407113)Shanghai Engineering Research Center of Green Energy Grid-Connected Technology (13DZ2251900) ‘‘Electrical Engineering’’ Shanghai class II Plateau Disciplinelocal capacity building plan of Shanghai science and Technology Commission (16020500900)
文摘Demand response has the potential to bring significant benefits to the optimal sizing of distributed generation(DG) resources for microgrids planning. This paper presents an integrated resources planning model considering the impact of interruptible loads(ILs) and shiftable loads(SLs) in microgrids, which simultaneouslydeals with supply side and demand side resources and minimizes the overall planning cost of the microgrid. The proposed model can be applied to offer a quantitative assessment how IL and SL can contribute to microgrid planning. The pure peak clipping model with IL and SL is also provided for comparisons. Moreover, sensitivity analysis of parameters in the model is performed.Numerical results confirm that the proposed model is an effective method for reducing the planning cost of microgrids. It was also found that the major contributing factors of IL and SL have great impact on the economic benefits of the proposed model in low-carbon economy environments.
