Strategic Energy Management (SEM) in a micro grid with modern grid interactive electric vehicle

Panwar, Lokesh Kumar; Reddy, K.S.; Kumar, Rajesh; Panigrahi, Bijaya Ketan; Vyas, Shashank

doi:10.1016/j.enconman.2015.09.019

Cited by 40 publications

(13 citation statements)

References 19 publications

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“…First, V2G can reduce transmission system losses and the overall costs of grid operation [31]. Second, both vehicle owners and grid operators were reported to be able to reduce costs through optimised vehicle charging [7].…”

Section: Discussionmentioning

confidence: 99%

The Impacts of High V2G Participation in a 100% Renewable Åland Energy System

2018

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A 100% renewable energy (RE) scenario featuring high participation in vehicle-to-grid (V2G) services was developed for the Åland islands for 2030 using the EnergyPLAN modelling tool. Hourly data was analysed to determine the roles of various energy storage solutions, notably V2G connections that extended into electric boat batteries. Two weeks of interest (max/min RE) generation were studied in detail to determine the roles of energy storage solutions. Participation in V2G connections facilitated high shares of variable RE on a daily and weekly basis. In a Sustainable Mobility scenario, high participation in V2G (2750 MWh e ) resulted in less gas storage (1200 MWh th ), electrolyser capacity (6.1 MW e ), methanation capacity (3.9 MWh gas ), and offshore wind power capacity (55 MW e ) than other scenarios that featured lower V2G participation. Consequently, total annualised costs were lower (225 M€/a). The influence of V2G connections on seasonal storage is an interesting result for a relatively cold, northern geographic area. A key point is that stored electricity need not only be considered as storage for future use by the grid, but V2G batteries can provide a buffer between generation of intermittent RE and its end-use. Direct consumption of intermittent RE further reduces the need for storage and generation capacities.

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Section: Discussionmentioning

confidence: 99%

The Impacts of High V2G Participation in a 100% Renewable Åland Energy System

2018

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“…Thus, more EV charging stations (EVCSs) are still needed to provide charging services for the increasing number of EVs. Lots of research has been devoted to reducing the investments and daily operation costs through optimal planning [8][9][10] and energy management strategies [11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Demand side energy management of EV charging stations by approximate dynamic programming

Ravey

Chrenko

et al. 2019

Energy Conversion and Management

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The high operation cost of the EV charging station (EVCS) is a severe challenge for the development of electric vehicles, which lead to the general shortage of the EVCS. In order to reduce the operation costs of the EVCS, an approximate dynamic programming (ADP) based energy management system (EMS) is proposed for the EVCS equipped with multiple types of chargers (EVCS-MTC). A fuzzy logic guiding system has been designed to allocate each vehicle an appropriate charging spot based on its charging urgency. Multiple EVs can acquire the charging service through a common charger in the EVCS-MTC. In the proposed EMS, the approximate dynamic programming (ADP) and the evolution algorithm (EA) are combined to determine the optimal charging start time for each EV. This characteristic provides the charging device with the maximum autonomy to select the preferred flexible charging pattern, which can prolong the battery lifetime and reduce the communication requirements of the control system. With taking the dynamic electricity price and uncertain future charging demand into account, the proposed EMS can achieve a total cost reduction of over 50% compared with the conventional charging scheme in the numerical studies.

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“…Meanwhile, it is also impossible to upgrade current power facilities for the accommodation of EV penetration, due to the expensive investment. As a more economical and attractive alternative, smart scheduling strategies can be employed to postpone the construction of power infrastructures to support EV charging demand, through which the goal of wise load regulation as well as economic benefits can be reached [8][9][10]. Nevertheless, owing to the differences in operational characteristics between EV and the power system, smart EV scheduling becomes a rather complex task that must rely on an efficient and robust charging algorithm [11].…”

Section: Introductionmentioning

confidence: 99%

Intelligent Energy Management Algorithms for EV-charging Scheduling with Consideration of Multiple EV Charging Modes

2019

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Electric vehicles (EVs) are now attracting increasing interest from both industries and countries as an environmentally friendly and energy efficient mode of travel. Therefore, the EV charging and/or discharging issue has become an important challenge and research topic in power systems in recent years. An advanced and economic EV charging process, however, should employ smart scheduling, which depends on effective and robust algorithms. To that end, a comprehensive intelligent scatter search (ISS) algorithm within the frame of a basic scatter search has been designed with both unidirectional and bidirectional charging considered. The ISS structure also supports both a flexible and constant charging power rate by respectively employing filter-SQP (sequential quadratic programming) and mixed-integer SQP as local solvers with module control. The detailed design of ISS is presented and the objectives of smoothing the daily load profile and minimizing the charging cost have been tested. Compared with methods based on GS (global search), GA (genetic algorithm), and PSO (particle swarm optimization), the outcome-verified ISS can produce attractive results with a significantly short computational time. Moreover, to handle a large scale EV charging scenario, a hybrid method comprised of a GA and ISS approach has been further developed. Simulation results also verified its prominent performance, plus superbly low computational time.

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Strategic Energy Management (SEM) in a micro grid with modern grid interactive electric vehicle

Cited by 40 publications

References 19 publications

The Impacts of High V2G Participation in a 100% Renewable Åland Energy System

The Impacts of High V2G Participation in a 100% Renewable Åland Energy System

Demand side energy management of EV charging stations by approximate dynamic programming

Intelligent Energy Management Algorithms for EV-charging Scheduling with Consideration of Multiple EV Charging Modes

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