Operation window constrained strategic energy management of microgrid with electric vehicle and distributed resources

Panwar, Lokesh Kumar; K, Srikanth Reddy; Verma, Ashu; Panigrahi, Bijaya Ketan; Kumar, Rajesh

doi:10.1049/iet-gtd.2016.0654

Cited by 45 publications

(27 citation statements)

References 18 publications

(17 reference statements)

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“…So the DSO should elaborate a suitable trading plan in the deployment-ahead horizon, in order to program all factors accounting for economic burdens, environmental impact and reliability issues [75][76][77]. During the process of designing the trading plans, possible deviations of forecasts with proper probability distribution functions [78][79][80], procedures based on the generation of different scenarios with relevant probability [81][82][83][84], and methodologies based on deterministic data [49,[85][86][87][88] should be taken into account. In addition, the penalty mechanism should be constructed to hedge against the aggregators' failure to execute the V2G ancillary service [89].…”

Section: Management Measures Of Phasementioning

confidence: 99%

Vehicle-to-grid service development logic and management formulation

Shi

Wang

2018

J. Mod. Power Syst. Clean Energy

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Vehicle-to-grid (V2G) is regarded as the effective way to reconcile contradictions between an electric power system and electric vehicles (EVs). A lot of research has been carried out to affect this, often based on different technical and trading model assumptions. The value of the research is dependent on how reasonable the assumptions it makes are. This paper presents a framework for analyzing V2G service development from a coevolutionary perspective in which the interactive relation between the diffusion of EVs and the upgrade of the distribution grid system is considered. A V2G service development logic and its management formulation are put forward. First, the motivations and contradictions of developing V2G services are analyzed. Then a development phase division of the V2G services is proposed in view of the coevolution relation between the grid upgrade and the development of the EV. Next, taking into account the characteristics of each phase, the physical trade structures and corresponding management hierarchies, management relations as well as management measures, are proposed. This paper provides a new perspective of V2G service development, answers the core question on how to make the V2G vision come true in synergy with the development of EVs, and gives some advice on future V2G management paradigms.

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Section: Management Measures Of Phasementioning

confidence: 99%

Vehicle-to-grid service development logic and management formulation

Shi

Wang

2018

J. Mod. Power Syst. Clean Energy

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“…In this paper, the energy exchange among H-MGs is formulated as a scheduling game, and competitive monopolies are modeled and simulated in a formulated non-linear optimization problem [23], [24]. These monopolies are based on three contradictory objectives: income maximization of H-MGs and retailers, reduction of consumer costs, and reduction of demand peak [25].…”

Section: Introductionmentioning

confidence: 99%

Coalition Formation of Microgrids with Distributed Energy Resources and Energy Storage in Energy Market

Valinejad

Marzband

Korkali

et al. 2020

Journal of Modern Power Systems and Clean Energy

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Power grids include entities such as home-microgrids (H-MGs), consumers, and retailers, each of which has a unique and sometimes contradictory objective compared with others while exchanging electricity and heat with other H-MGs. Therefore, there is the need for a smart structure to handle the new situation. This paper proposes a bilevel hierarchical structure for designing and planning distributed energy resources (DERs) and energy storage in H-MGs by considering the demand response (DR). In general, the upper-level structure is based on H-MG generation competition to maximize their individual and/or group income in the process of forming a coalition with other H-MGs. The upper-level problem is decomposed into a set of low-level market clearing problems. Both electricity and heat markets are simultaneously modeled in this paper. DERs, including wind turbines (WTs), combined heat and power (CHP) systems, electric boilers (EBs), electric heat pumps (EHPs), and electric energy storage systems, participate in the electricity markets. In addition, CHP systems, gas boilers (GBs), EBs, EHPs, solar thermal panels, and thermal energy storage systems participate in the heat market. Results show that the formation of a coalition among H-MGs present in one grid will not only have a significant effect on programming and regulating the value of the power generated by the generation resources, but also impact the demand consumption and behavior of consumers participating in the DR program with a cheaper market clearing price.

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“…In this situation, MG has to import an amount of power from the utility grid with high price in order to maintain power balance, resulting in operation cost increase. MG operation can be optimized by various strategies, such as the application of various control approaches for MG [21,22], the additional penetration of electric vehicles and distributed resources [23], or the advance of internet data centers in MG [24]. Furthermore, with the application of DR programs, the load can be shifted from peak periods to off-peak periods so that the operation cost can be decreased [25].…”

Section: Introductionmentioning

confidence: 99%

Impact of Demand Response Programs on Optimal Operation of Multi-Microgrid System

et al. 2018

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The increased penetration of renewables is beneficial for power systems but it poses several challenges, i.e., uncertainty in power supply, power quality issues, and other technical problems. Backup generators or storage system have been proposed to solve this problem but there are limitations remaining due to high installation and maintenance cost. Furthermore, peak load is also an issue in the power distribution system. Due to the adjustable characteristics of loads, strategies on demand side such as demand response (DR) are more appropriate in order to deal with these challenges. Therefore, this paper studies how DR programs influence the operation of the multi-microgrid (MMG). The implementation is executed based on a hierarchical energy management system (HiEMS) including microgrid EMSs (MG-EMSs) responsible for local optimization in each MG and community EMS (C-EMS) responsible for community optimization in the MMG. Mixed integer linear programming (MILP)-based mathematical models are built for MMG optimal operation. Five scenarios consisting of single DR programs and DR groups are tested in an MMG test system to evaluate their impact on MMG operation. Among the five scenarios, some DR programs apply curtailing strategies, resulting in a study about the influence of base load value and curtailable load percentage on the amount of curtailed load and shifted load as well as the operation cost of the MMG. Furthermore, the impact of DR programs on the amount of external and internal trading power in the MMG is also examined. In summary, each individual DR program or group could be handy in certain situations depending on the interest of the MMG such as external trading, self-sufficiency or operation cost minimization.

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Operation window constrained strategic energy management of microgrid with electric vehicle and distributed resources

Cited by 45 publications

References 18 publications

Vehicle-to-grid service development logic and management formulation

Vehicle-to-grid service development logic and management formulation

Coalition Formation of Microgrids with Distributed Energy Resources and Energy Storage in Energy Market

Impact of Demand Response Programs on Optimal Operation of Multi-Microgrid System

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