Journal of Modern Power Systems and Clean Energy

ISSN 2196-5625 CN 32-1884/TK

Integrated resources planning in microgrids considering interruptible loads and shiftable loads
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1. Department of Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China 2. School of Electrical Engineering, Shanghai University of Electric Power, Shanghai 200090, China 3. Pudong Power Supply Company, State Grid Shanghai Municipal Electric Power Company, Shanghai 200122, China 4. School of Electronic, Electrical and Systems Engineering, University of Birmingham, Birmingham B152TT, UK 5. Zibo Power Supply Company, State Grid Shandong Electric Power Grid Company, Zibo 255000, China 6. East Electric Power Dispatch and Control Sub-Center, State Grid Corporation of China, Shanghai 200000, China

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This work is 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 Discipline; and local capacity building plan of Shanghai science and Technology Commission (16020500900). The authors would also like to thank Prof. Wei-Jen LEE and Prof. Fangxing LI for their contributions.

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    Abstract:

    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 (IL) and shiftable loads (SL) in microgrids, which simultaneously deals 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.

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  • Received:
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  • Online: July 20,2018
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