Mid- and long-term strategy based on electric vehicle charging unpredictability and ownership estimation

Goh, Hui Hwang; Zong, Lian; Zhang, Dongdong; Liu, Hui; Dai, Wei; Lim, Chee Shen; Kurniawan, Tonni Agustiono; Teo, Kenneth Tze Kin; Goh, Kai Chen

doi:10.1016/j.ijepes.2022.108240

Cited by 18 publications

(3 citation statements)

References 39 publications

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“…DNO provides certain incentives for the contribution of charging stations. The demand response revenue F dr of CSO is shown in (6).…”

Section: Objective Functionmentioning

confidence: 99%

“…Reference [5] proposed a forecasting model for the charging demand of battery swapping stations based on MCS, considering four key factors characterizing stochastic behaviors of battery swapping stations. Reference [6] proposed a method for predicting EV charging load that includes not only a forecasting model based on MCS concerning the uncertainty of the EV charging characteristics but also a prediction of the EV number in the future. Reference [7] proposed a spatial–temporal prediction model based on the nonhomogeneous Markov chain and MCS, and it also revealed the influence of drivers' psychological bearing ability when making charging decisions.…”

Section: Introductionmentioning

confidence: 99%

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Optimal Scheduling of Electric Vehicles Charging and Discharging Strategy Based on Real‐Time Price Considering Multi‐party Interest

Xie

Gao

2023

IEEJ Transactions Elec Engng

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In order to mitigate the negative impact brought by the large-scale grid connection of EVs, it is highly significant to study the optimal charging scheduling strategy of EVs. In this paper, a multiobjective optimization model of ordered charging and discharging with the participation of distribution network operator (DNO), charging station operator (CSO) and EV users is established, which maximize the interest of three parties. At the same time, the real-time price (RTP) based on the change in load rate is designed and compared with the time-of-use (TOU) price model to analyze the impact of both on the interests of all parties. At last, the sparrow search algorithm (SSA) is introduced and three improvements are made. The results demonstrate that different charging modes of EVs and charging price models will affect the balance of interests of the three parties, while the improved SSA performs better under different users' response rates.

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“…DNO provides certain incentives for the contribution of charging stations. The demand response revenue F dr of CSO is shown in (6).…”

Section: Objective Functionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimal Scheduling of Electric Vehicles Charging and Discharging Strategy Based on Real‐Time Price Considering Multi‐party Interest

Xie

Gao

2023

IEEJ Transactions Elec Engng

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“…Therefore, its contribution in the energy sector is minimum when the secondary energy source has low CO 2 intensity. Finding niche applications of the CO 2 from MFC operation can promote the world's progress toward carbon neutrality in the long-term [14][15][16].…”

Section: Mfc: An Option In Renewable Energy Developmentmentioning

confidence: 99%

Microbial Fuel Cells (MFC): A Potential Game-Changer in Renewable Energy Development

et al. 2022

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Currently, access to electricity in the cities of the Global South is so limited that electrification remains low in rural areas. Unless properly tackled, one-third of the world’s cities will suffer from energy scarcity. The emergence of microbial fuel cell (MFC) technology accelerates the deployment of decentralized and sustainable energy solutions that can address the looming energy shortage. This review consolidates scattered knowledge into one article about the performance of MFC in optimizing electricity generation from phosphorus (P)-laden wastewater, while removing the target nutrient from wastewater simultaneously. It is obvious from a literature survey of 108 published articles (1999–2022) that the applications of MFC for building a self-powered municipal water treatment system represents an important breakthrough, as this enables water treatment operators to generate electricity without affecting the atmospheric balance of CO2. Using a pyrite-based wetland MFC, about 91% of P was removed after operating 180 days, while generating power output of 48 A/m2. Unlike other techniques, MFCs utilize bacteria that act as micro-reactors and allow substrates to be oxidized completely. The Earth’s tiniest inhabitants can efficiently transform the chemical energy of organic matter in unused wastewater either into hydrogen gas or electricity. This facilitates wastewater treatment plants powering themselves in daily operation or selling electricity on the market. This MFC technology radically changes how to treat wastewater universally. By exploring this direction along the water–energy–food nexus, MFC technology could transform wastewater treatment plants into a key sustainability tool in the energy sector. This suggests that MFCs provide a practical solution that addresses the need of global society for clean water and electricity simultaneously.

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Achieving accurate and balanced regional electric vehicle charging load forecasting with a dynamic road network: a case study of Lanzhou City

Li,

Tang,

et al. 2024

Appl Intell

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Mid- and long-term strategy based on electric vehicle charging unpredictability and ownership estimation

Cited by 18 publications

References 39 publications

Optimal Scheduling of Electric Vehicles Charging and Discharging Strategy Based on Real‐Time Price Considering Multi‐party Interest

Optimal Scheduling of Electric Vehicles Charging and Discharging Strategy Based on Real‐Time Price Considering Multi‐party Interest

Microbial Fuel Cells (MFC): A Potential Game-Changer in Renewable Energy Development

Achieving accurate and balanced regional electric vehicle charging load forecasting with a dynamic road network: a case study of Lanzhou City

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