Research on Microgrid Dispatch Considering the Charge and Discharge Strategy of Electric Vehicles

Xu, Ke; Wang, Shizhen; Zhao, Jingjing; Dou, Xun; Zhang, Pan

doi:10.1109/appeec48164.2020.9220487

Cited by 5 publications

(1 citation statement)

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“…The time-of-use (TOU) energy prices in RMG/OBMG from [31] are shown in Figure 7. The carbon emissions factor e c is 86.47 g/kWh [29], and the carbon cost factor k c is 0.21 CNY/kg [37]. The loss cost coefficient of the distribution network k il is 0.74 CNY/kWh [38].…”

Section: Other Parametersmentioning

confidence: 99%

Cooperative Multi-Objective Optimization of DC Multi-Microgrid Systems in Distribution Networks

Chen

Dong

et al. 2021

Applied Sciences

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By constructing a DC multi-microgrid system (MMGS) including renewable energy sources (RESs) and electric vehicles (EVs) to coordinate with the distribution network, the utilization rate of RESs can be effectively improved and carbon emissions can be reduced. To improve the economy of MMGS and reduce the network loss of the distribution network, a cooperative double-loop optimization strategy is proposed. The inner-loop economic dispatching reduces the daily operating cost of MMGS by optimizing the active power output of RESs, EVs, and DC/AC converters in MMGS. The outer-loop reactive power optimization reduces the network loss of the distribution network by optimizing the reactive power of the bidirectional DC/AC converters. The double-loop, which synergistically optimizes the economic cost and carbon emissions of MMGS, not only improves the economy of MMGS and operational effectiveness of the distribution network but also realizes the low-carbon emissions. The Across-time-and-space energy transmission (ATSET) of the EVs is considered, whose impact on economic dispatching is analyzed. Particle Swarm Optimization (PSO) is applied to iterative solutions. Finally, the rationality and feasibility of the cooperative multi-objective optimization model are proved by a revised IEEE 33-node system.

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Section: Other Parametersmentioning

confidence: 99%