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Transportation electrification is regarded as one of the most significant opportunities to address the social and environmental challenges posed by mass motorization and rapid urbanization. Electric vehicles (EVs) are playing an essential role in realizing transportation electrification, with benefits of oil conservation, local air-quality improvement, global climate change mitigation, and transit mode upgrading. In principle, EVs include battery electric vehicles and plug-in hybrid electric vehicles, with service types representing passenger vehicles, light-duty commercial vehicles, buses, and trucks. For brevity, EVs as referred to in this article are primarily passenger vehicles and light-duty commercial vehicles.
Mingfei Ban; Jilai Yu; Zhiyi Li; Danyang Guo; Jing Ge. Battery Swapping: An aggressive approach to transportation electrification. IEEE Electrification Magazine 2019, 7, 44 -54.
AMA StyleMingfei Ban, Jilai Yu, Zhiyi Li, Danyang Guo, Jing Ge. Battery Swapping: An aggressive approach to transportation electrification. IEEE Electrification Magazine. 2019; 7 (3):44-54.
Chicago/Turabian StyleMingfei Ban; Jilai Yu; Zhiyi Li; Danyang Guo; Jing Ge. 2019. "Battery Swapping: An aggressive approach to transportation electrification." IEEE Electrification Magazine 7, no. 3: 44-54.
Due to variations in weather and atmospheric conditions, the time, the location, and the level of fuel emission would determine its differentiating impact on ambient air pollutant concentration (AAPC). Besides, populated regions are more vulnerable to AAPC increments because the associated health impacts can scale log-linearly with AAPC and linearly with the affected population size. This paper proposes an approach to evaluate the differentiating impacts of fuel emission on AAPC and human health. We employ a Gaussian puff model to address the source-receptor relationship between primary NOx emissions and the resulting AAPC increments ( $\Delta$ AAPC) and formulate a penalty cost for emission. In contrast to penalizing all emissions using the same penalty rate, this penalty cost reflects marginal health impacts of individual emissions. The penalty cost drives the differentiating emission dispatch to shift the electricity production away from power plants with high marginal health impacts. The proposed approach captures the $\Delta$ AAPC response to changes in generation scheduling and incorporates marginal health impacts of primary NOx emissions into daily decision-making processes. Case studies demonstrate the effectiveness of the proposed model in which environmental benefits of wind power generation and energy storage are illustrated in generation scheduling.
Mingfei Ban; Jilai Yu; Mohammad Shahidehpour; Danyang Guo; Yiyun Yao. Considering the Differentiating Health Impacts of Fuel Emissions in Optimal Generation Scheduling. IEEE Transactions on Sustainable Energy 2018, 11, 15 -26.
AMA StyleMingfei Ban, Jilai Yu, Mohammad Shahidehpour, Danyang Guo, Yiyun Yao. Considering the Differentiating Health Impacts of Fuel Emissions in Optimal Generation Scheduling. IEEE Transactions on Sustainable Energy. 2018; 11 (1):15-26.
Chicago/Turabian StyleMingfei Ban; Jilai Yu; Mohammad Shahidehpour; Danyang Guo; Yiyun Yao. 2018. "Considering the Differentiating Health Impacts of Fuel Emissions in Optimal Generation Scheduling." IEEE Transactions on Sustainable Energy 11, no. 1: 15-26.
Nanogrids are expected to play a significant role in managing the ever-increasing distributed renewable energy sources. If an off-grid nanogrid can supply fully-charged batteries to a battery swapping station (BSS) serving regional electric vehicles (EVs), it will help establish a structure for implementing renewable-energy-to-vehicle systems. A capacity planning problem is formulated to determine the optimal sizing of photovoltaic (PV) generation and battery-based energy storage system (BESS) in such a nanogrid. The problem is formulated based on the mixed-integer linear programming (MILP) and then solved by a robust optimization approach. Flexible uncertainty sets are employed to adjust the conservativeness of the robust optimization, and Monte Carlo simulations are carried out to compare the performance of the solutions. Case studies demonstrate the merits of the proposed applications and verify our approach.
Mingfei Ban; Jilai Yu; Mohammad Shahidehpour; Danyang Guo. Optimal sizing of PV and battery-based energy storage in an off-grid nanogrid supplying batteries to a battery swapping station. Journal of Modern Power Systems and Clean Energy 2018, 7, 309 -320.
AMA StyleMingfei Ban, Jilai Yu, Mohammad Shahidehpour, Danyang Guo. Optimal sizing of PV and battery-based energy storage in an off-grid nanogrid supplying batteries to a battery swapping station. Journal of Modern Power Systems and Clean Energy. 2018; 7 (2):309-320.
Chicago/Turabian StyleMingfei Ban; Jilai Yu; Mohammad Shahidehpour; Danyang Guo. 2018. "Optimal sizing of PV and battery-based energy storage in an off-grid nanogrid supplying batteries to a battery swapping station." Journal of Modern Power Systems and Clean Energy 7, no. 2: 309-320.
Conventional environmental-economic power dispatch methods constrain the total amount of emissions of power plants, and they succeed in reducing emissions from the power sector. However, they fail to address the mismatch between emission reductions and the resulting changes in regional air quality. This paper proposes an ecology- and security-constrained unit commitment (Eco-SCUC) model considering the differentiated impacts of generation-associated emissions on regional air quality. A Gaussian puff dispersion model is applied to capture the temporal-spatial transport of air pollutants. Additionally, an air pollutant intensity (API) index is defined for assessing the impacts of emissions on the air quality in regions with differentiated atmospheric environmental capacities. Then the API constraints are formulated based on air quality forecast and included in SCUC model. Moreover, the stochastic optimization is employed to accommodate wind power uncertainty, and the Benders decomposition technique is used to solve the formulated mixed-integer quadratic programming (MIQP) problem. Case studies demonstrate that the Eco-SCUC can cost-effectively improve air quality for densely-populated regions via shifting generation among units and can significantly reduce the person-hours exposed to severe air pollution. Furthermore, the benefits of wind power for air quality control are investigated.
Danyang Guo; Jilai Yu; Mingfei Ban. Security-Constrained Unit Commitment Considering Differentiated Regional Air Pollutant Intensity. Sustainability 2018, 10, 1433 .
AMA StyleDanyang Guo, Jilai Yu, Mingfei Ban. Security-Constrained Unit Commitment Considering Differentiated Regional Air Pollutant Intensity. Sustainability. 2018; 10 (5):1433.
Chicago/Turabian StyleDanyang Guo; Jilai Yu; Mingfei Ban. 2018. "Security-Constrained Unit Commitment Considering Differentiated Regional Air Pollutant Intensity." Sustainability 10, no. 5: 1433.
The increasing integration of variable wind generation has aggravated the imbalance between electricity supply and demand. Power-to-hydrogen (P2H) is a promising solution to balance supply and demand in a variable power grid, in which excess wind power is converted into hydrogen via electrolysis and stored for later use. In this study, an energy hub (EH) with both a P2H facility (electrolyzer) and a gas-to-power (G2P) facility (hydrogen gas turbine) is proposed to accommodate a high penetration of wind power. The EH is modeled and integrated into a security-constrained unit commitment (SCUC) problem, and this optimization problem is solved by a mixed-integer linear programming (MILP) method with the Benders decomposition technique. Case studies are presented to validate the proposed model and elaborate on the technological potential of integrating P2H into a power system with a high level of wind penetration (HWP).
Mingfei Ban; Jilai Yu; Mohammad Shahidehpour; Yiyun Yao. Integration of power-to-hydrogen in day-ahead security-constrained unit commitment with high wind penetration. Journal of Modern Power Systems and Clean Energy 2017, 5, 337 -349.
AMA StyleMingfei Ban, Jilai Yu, Mohammad Shahidehpour, Yiyun Yao. Integration of power-to-hydrogen in day-ahead security-constrained unit commitment with high wind penetration. Journal of Modern Power Systems and Clean Energy. 2017; 5 (3):337-349.
Chicago/Turabian StyleMingfei Ban; Jilai Yu; Mohammad Shahidehpour; Yiyun Yao. 2017. "Integration of power-to-hydrogen in day-ahead security-constrained unit commitment with high wind penetration." Journal of Modern Power Systems and Clean Energy 5, no. 3: 337-349.