Day-ahead optimal charging/discharging scheduling for electric vehicles in microgrids

Cai, Hui; Chen, Qiyu; Guan, Zhijian; Huang, Junhui

doi:10.1186/s41601-018-0083-3

Cited by 59 publications

(22 citation statements)

References 33 publications

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“…2With the construction of the energy internet, EVs will become important interactive devices on the load side. A reasonable charging price will guide the EV to charge reasonably in time and space [47]. (3) The energy storage system can realize the decoupling between the power supply side and the load side to shift the peak load.…”

Section: Load Shapingmentioning

confidence: 99%

A Calculation Model for CO2 Emission Reduction of Energy Internet: A Case Study of Yanqing

Yang

Zhang

2019

Sustainability

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This paper takes the regional energy internet as the research object, and combines the power system, primary energy system, transportation system, and thermal energy system to give the system boundary. First, the mathematical decomposition method and the logical integration method were combined to decompose the total low-carbon capability into seven single low-carbon capabilities. On the basis of the mechanism of carbon emission reduction, a comprehensive calculation model for CO2 emissions reduction of the energy internet was then established. Finally, taking the Yanqing Energy Internet Demonstration Zone in China as an example, it was calculated that the model could reduce CO2 emissions by 14,093.19 tons in 2025. The results show that the methods adopted in this paper avoided the overlap calculation reasonably well; the comprehensive calculation model of CO2 emissions reduction has strong versatility, and can quantitatively calculate the carbon emission reduction amount for any completed or planned energy internet. Among the seven low-carbon capabilities, “replacement of gasoline with electricity” had the highest contribution rate, with a value of 42.62%, followed by “renewable energy substitution” (37.13%). The innovations in this paper include: (1) The problem of reasonable splitting of the overlapping parts in carbon emission reduction calculations being solved. (2) The first comprehensive calculation model of CO2 emission reduction on the energy internet being established. (3) The contribution of the seven low-carbon capabilities of the energy internet to total emissions reduction being clarified.

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Section: Load Shapingmentioning

confidence: 99%

A Calculation Model for CO2 Emission Reduction of Energy Internet: A Case Study of Yanqing

Yang

Zhang

2019

Sustainability

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“…In addition, night charging is for unified centralized charging, while the charging period is 23:00-05:30 with a rated charging power of 21 kW. Therefore, it can be assumed that the total adjustable capacity of CS1~CS10 changes every 15 min [40] when participating in AGC power allocation, such that 96 periods are formed in a day, as illustrated in Figure 4. The maximum and minimum regulation capacity of CS1~CS10 under one period is shown in Table 2.…”

Section: System Modelmentioning

confidence: 99%

Cost Consensus Algorithm Applications for EV Charging Station Participating in AGC of Interconnected Power Grid

Tang

Ren

et al. 2019

Applied Sciences

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In order to more effectively reduce the regulation costs of power grids and to improve the automatic generation control (AGC) performance, an optimization mathematical model of generation command dispatch for AGC with an electric vehicle (EV) charging station is proposed in this paper, in which a cost consensus algorithm for AGC is adopted. Particularly, virtual consensus variables are applied to exchange information among different AGC units. At the same time, the actual consensus variables are utilized to determine the generation command, upon which the flexibility of the proposed algorithm can be significantly enhanced. Furthermore, the implement feasibility of such an algorithm is verified through a series simulation experiments on the Hainan power grid in southern China, where the results demonstrate that the proposed algorithm can effectively realize an autonomous frequency regulation of EVs participating in AGC.

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“…Flexible loads can be traditional industrial, commercial and resident loads used in a controllable manner [5]. Bidirectional dispatchable loads such as energy storage systens [6][7][8] and electric vehicles (EVs) can also be utilized as flexible loads to participate in power dispatch [9,10].…”

Section: Of 21mentioning

confidence: 99%

Optimization Strategy for Economic Power Dispatch Utilizing Retired EV Batteries as Flexible Loads

Sun

Peng

et al. 2018

Energies

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With the increasing penetration of new and renewable energy, incorporating variable adjustable power elements on the demand side is of particular interest. The utilization of batteries as flexible loads is a hot research topic. Lithium-ion batteries are key components in electric vehicles (EVs) in terms of capital cost, mass and size. They are retired after around 5 years of service, but still retain up to 80% of their nominal capacity. Disposal of waste batteries will become a significant issue for the automotive industry in the years to come. This work proposes the use of the second life of these batteries as flexible loads to participate in the economic power dispatch. The characteristics of second life batteries (SLBs) are varied and diverse, requiring a new optimization strategy for power dispatch at the system level. In this work, SLBs are characterized and their operating curves are obtained analytically for developing an economic power dispatch model involving wind farms and second life batteries. In addition, a dispatch strategy is developed to reduce the dispatch complex brought by the disperse spatial and time distribution of EVs and decrease the system operating cost by introducing incentive and penalty costs in regulating the EV performance. In theory, SLBs are utilized to reduce the peak-valley difference of power loads and to stabilize the power system. Test results based on a ten-unit power system have verified the effectiveness of the proposed dispatch model and the economic benefit of utilizing SLBs as flexible loads in power systems. This work may provide a viable solution to the disposal of waste batteries from EVs and to the stable operation of fluctuating power systems incorporating stochastic renewable energy.

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Day-ahead optimal charging/discharging scheduling for electric vehicles in microgrids

Cited by 59 publications

References 33 publications

A Calculation Model for CO2 Emission Reduction of Energy Internet: A Case Study of Yanqing

A Calculation Model for CO2 Emission Reduction of Energy Internet: A Case Study of Yanqing

Cost Consensus Algorithm Applications for EV Charging Station Participating in AGC of Interconnected Power Grid

Optimization Strategy for Economic Power Dispatch Utilizing Retired EV Batteries as Flexible Loads

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