Intelligent power management in micro grids with EV penetration

Ramachandran, B.; Srivastava, Sanjeev; Cartes, D.A.

doi:10.1016/j.eswa.2013.06.007

Cited by 45 publications

(19 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…3. The flow chart summarizes (7)- (14). The controller updates the control signals at each time step by considering the load profile and the actual mobilities of PEVs connected to the grid.…”

Section: On-line Operationmentioning

confidence: 99%

“…From the upstream network perspective, minimizing peak loads can reduce power generation costs and carbon dioxide emissions [12]. The peak loads can be reduced either by unidirectional PEV charging management [12][13][14], or by discharging PEV batteries into the grid using V2G technology [5,6]. The former approach, also called the load-shifting strategy, is based on the idea of shifting peak loads to off-peak hours.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A fast and efficient coordinated vehicle-to-grid discharging control scheme for peak shaving in power distribution system

Erdoğan

Erden

Kisacikoglu

2018

J. Mod. Power Syst. Clean Energy

View full text Add to dashboard Cite

This study focuses on the potential role of plugin electric vehicles (PEVs) as a distributed energy storage unit to provide peak demand minimization in power distribution systems. Vehicle-to-grid (V2G) power and currently available information transfer technology enables utility companies to use this stored energy. The V2G process is first formulated as an optimal control problem. Then, a two-stage V2G discharging control scheme is proposed. In the first stage, a desired level for peak shaving and duration for V2G service are determined off-line based on forecasted loading profile and PEV mobility model. In the second stage, the discharging rates of PEVs are dynamically adjusted in real time by considering the actual grid load and the characteristics of PEVs connected to the grid. The optimal and proposed V2G algorithms are tested using a real residential distribution transformer and PEV mobility data collected from field with different battery and charger ratings for heuristic user case scenarios. The peak shaving performance is assessed in terms of peak shaving index and peak load reduction. Proposed solution is shown to be competitive with the optimal solution while avoiding high computational loads. The impact of the V2G management strategy on the system loading at night is also analyzed by implementing an off-line charging scheduling algorithm.

show abstract

Section: On-line Operationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A fast and efficient coordinated vehicle-to-grid discharging control scheme for peak shaving in power distribution system

Erdoğan

Erden

Kisacikoglu

2018

J. Mod. Power Syst. Clean Energy

View full text Add to dashboard Cite

show abstract

“…Ramachandran et al [88] described a decentralized controller using MAS in an electricity market framework. Their goal was to decide optimal charging based hourly charging rate of each EV battery.…”

Section: Energy Storage Microgrid Systemsmentioning

confidence: 99%

Multi-agent systems applied for energy systems integration: State-of-the-art applications and trends in microgrids

et al. 2017

View full text Add to dashboard Cite

“…MAS, a distributed control approach based on local information and actions, is suitable for real-time control and has the following features [17][18][19] The studies of MAS-based MG EMS have been carried out on the system framework, dispatch algorithms and coordination strategies of DGs. Detailed reviews on MAS for power engineering applications were given in [20,21].…”

Section: Introductionmentioning

confidence: 99%

An MAS based energy management system for a stand-alone microgrid at high altitude

Zhao¹,

Xue²,

Zhang³

et al. 2015

Applied Energy

View full text Add to dashboard Cite

h i g h l i g h t sAn energy management system based on MAS is developed for a stand-alone microgrid. Practical operation conditions and considerations for microgrid at high altitude are presented. A virtual bidding strategy is proposed to quickly establish operation schedule and capacity reserve. Model predictive control is used in real-time power dispatches to compensate the power control error of the DGs. The MAS and the proposed methods are implemented and verified in a RTDS-PXI joint real-time simulation platform. a b s t r a c tA multi-agent system based energy management system (EMS) is proposed in this paper for implementing a PV-small hydro hybrid microgrid (MG) at high altitude. Based on local information, the distributed generation (DG) sources in the MG are controlled via the EMS to achieve efficient and stable system operation. Virtual bidding is used to quickly establish the scheduling of system operation and capacity reserve. In addition, real-time power dispatches are carried out through model predictive control to balance load demand and power generation in the MG. The dynamic model and the energy management strategy of the MG have been simulated on a RTDS-PXI joint real-time simulation platform. The simulation results show that the proposed energy management and control strategy can optimally dispatch the DG sources in the MG to achieve economic and secure operations of the whole system.

show abstract

Intelligent power management in micro grids with EV penetration

Cited by 45 publications

References 14 publications

A fast and efficient coordinated vehicle-to-grid discharging control scheme for peak shaving in power distribution system

A fast and efficient coordinated vehicle-to-grid discharging control scheme for peak shaving in power distribution system

Multi-agent systems applied for energy systems integration: State-of-the-art applications and trends in microgrids

An MAS based energy management system for a stand-alone microgrid at high altitude

Contact Info

Product

Resources

About