Multiobjective optimal allocation of "generationstorageload" under the lowcarbon background
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TM715

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    Abstract:

    Distributed generation (DG) and electric vehicle (EV) are the key parts of sustainable development under the lowcarbon background. In order to reduce the negative impact of DG output and electric vehicle charging load volatility on the distribution network, a distributed energy storage system (DESS) is introduced in the planning stage to establish a coordinated and optimized configuration model of DG, DESS and electric vehicle charging stations(EVCS). By introducing the carbon emission reduction index, a multiobjective function is established. The comprehensive income of the distribution network, carbon emission reduction, voltage quality index, comprehensive net load fluctuation index and network loss are considered. Then, the particle swarmharmony search hybrid algorithm is applied to solve the model. Lastly, an IEEE 33bus power distribution system is simulated, it is shown that the established "generationstorageload" joint planning model can effectively reduce system carbon emissions and network losses, and also improve voltage quality and load fluctuation indicators.

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黄宗龙,江修波,刘丽军.低碳化背景下配电网“源—储—荷”多目标优化配置[J].电力科学与技术学报英文版,2020,35(5):36-45. HUAGNZ Zonglong, JIANG Xiubo, LIU Lijun. Multiobjective optimal allocation of "generationstorageload" under the lowcarbon background[J]. Journal of Electric Power Science and Technology,2020,35(5):36-45.

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  • Received:
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  • Online: April 16,2021
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