Real-Time Optimal Energy and Reserve Management of Electric Vehicle Fast Charging Station: Hierarchical Game Approach

Zhao, Tianyang; Li, Yuanzheng; Pan, Xuewei; Wang, Peng; Zhang, Jianhua

doi:10.1109/tsg.2017.2687522

Cited by 100 publications

(36 citation statements)

References 24 publications

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“…[1], [3], [11], [14], [18], [21], [25], [29], [35], [40], [41] [23], [24], [36] Smart P2P energy network EV domains Energy trading among multiple EVs within the P2P network that ensures the security of transactions and protection of privacy is considered. The objective is to maximize the social welfare of the entire network, keep the trading with the grid at a minimum, and penalize EVs that do not abide by the rules.…”

Section: Energy Management In Service Domainsmentioning

confidence: 99%

Transforming Energy Networks via Peer to Peer Energy Trading: Potential of Game Theoretic Approaches

Tushar¹,

Yuen²,

Mohsenian‐Rad³

et al. 2020

Preprint

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eer-to-peer (P2P) energy trading has emerged as a next-generation energy-management mechanism for the smart grid that enables each prosumer (i.e., an energy consumer who also produces electricity) of the network to participate in energy trading with other prosumers and the grid. This poses a significant challenge in terms of modeling the decisionmaking process of the participants' conflicting interests and motivating prosumers to participate in energy trading and cooperate, if necessary, in achieving different energy-management goals. Therefore, such a decisionmaking process needs to be built on solid mathematical and signal processing principles that can ensure an efficient operation of the electric power grid.

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Section: Energy Management In Service Domainsmentioning

confidence: 99%

Transforming Energy Networks via Peer to Peer Energy Trading: Potential of Game Theoretic Approaches

Tushar¹,

Yuen²,

Mohsenian‐Rad³

et al. 2020

Preprint

View full text Add to dashboard Cite

show abstract

“…In [136], a control algorithm for AC/DC and DC/DC converters used in ECSs was proposed to mitigate the adverse impact of ESS-ECSs on the grid. T. Zhou et al [137] used a hierarchical game approach to optimize the energy and reserve management of a large number of EVs and FCSs in real time. A leader-follower game was used to model the system into a bi-level optimization problem, and a mathematical programming with equilibrium constraints was used to solve the problem.…”

Section: Ecss With Esss and Resmentioning

confidence: 99%

System Planning of Grid-Connected Electric Vehicle Charging Stations and Key Technologies: A Review

2019

Energies

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The optimal planning of electric vehicle (EV) charging stations (ECSs) with advanced control algorithms is very important to accelerate the development of EVs, which is a promising solution to reduce carbon emissions of conventional internal combustion engine vehicles (ICEVs). The large and fluctuant load currents of ECSs can bring negative impacts to both EV-related power converters and power distribution systems if the energy flow is not regulated properly. Recent review papers related to EVs found in open literature have mainly focused on the design of power converter-based chargers and power interfaces, analyses of power quality (PQ) issues, the development of wireless charging techniques, etc. There is currently no review paper that focuses on key technologies in various system configurations, optimal energy management and advanced control issues in practical applications. To compensate for this insufficiency and provide timely research directions, this paper reviews 143 previously published papers related to the aforementioned topics in recent literature including 17 EV-related review papers found in Institute of Electrical and Electronics Engineers (IEEE)/Institution of Engineering and Technology (IET) (IEEE/IET) Electronic Library (IEL) and ScienceDirect OnSite (SDOS) databases. In this paper, existing system configurations, related design methods, algorithms and key technologies for ECSs are systematically reviewed. Based on discussions given in the reviewed papers, the most popular ECS configuration is a hybrid system design that integrates renewable energy (RE)-based power generation (REBPG), various energy storage systems (ESSs), and utility grids. It is noteworthy that the addition of an ESS with properly designed control algorithms can simultaneously buffer the fast, fluctuant power demand during charging, smooth the intermittent power generation of REBPG, and increase the overall efficiency and operating flexibility of ECSs. In addition, verifying the significance of the flexibility and possible profits that portable ESSs provide in ECS networks is a potential research theme in ECS fields, in which the potential applications of portable ESSs in the grid-tied ECSs are numerous and could cover a full technical spectrum.

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“…The kernel density function is applied to model the distribution of these stochastic variables. In [17], a bi-level optimization is proposed for a fast charging station in order to maximize the profit of the station and EVs, simultaneously. Indeed, the station's operator aggregates its EVs to participate in joint energy and reserve market, but the uncertain behaviors of EVs are not considered.…”

Section: Related Workmentioning

confidence: 99%

“…In (17), P i,t,s is the generating power of micro-turbine i in scenario s at time t and is limited to their bounded maximum and minimum capacity, i.e., P max i and P min i . RU i and RD i are the ramping up and down rates of micro-turbine i and are limited in (18) and (19), respectively.…”

Section: Operating Constraints For Micro-turbinesmentioning

confidence: 99%

Optimal Day-Ahead Scheduling of a Smart Micro-Grid via a Probabilistic Model for Considering the Uncertainty of Electric Vehicles’ Load

et al. 2019

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This paper presents a new model based on the Monte Carlo simulation method for considering the uncertainty of electric vehicles’ charging station’s load in a day-ahead operation optimization of a smart micro-grid. In the proposed model, some uncertain effective factors on the electric vehicles’ charging station’s load including battery capacity, type of electric vehicles, state of charge, charging power level and response to energy price changes are considered. In addition, other uncertainties of operating parameters such as market price, photovoltaic generation and loads are also considered. Therefore, various stochastic scenarios are generated and involved in a cost minimization problem, which is formulated in the form of mixed-integer linear programming. Finally, the proposed model is simulated on a typical micro-grid with two 60 kW micro-turbines, a 60 kW photovoltaic unit and some loads. The results showed that by applying the proposed model for estimation of charging station load, the total operation cost decreased.

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Real-Time Optimal Energy and Reserve Management of Electric Vehicle Fast Charging Station: Hierarchical Game Approach

Cited by 100 publications

References 24 publications

Transforming Energy Networks via Peer to Peer Energy Trading: Potential of Game Theoretic Approaches

Transforming Energy Networks via Peer to Peer Energy Trading: Potential of Game Theoretic Approaches

System Planning of Grid-Connected Electric Vehicle Charging Stations and Key Technologies: A Review

Optimal Day-Ahead Scheduling of a Smart Micro-Grid via a Probabilistic Model for Considering the Uncertainty of Electric Vehicles’ Load

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