Dispatch of Vehicle-to-Grid Battery Storage Using an Analytic Hierarchy Process

Wang, Lu; Sharkh, Suleiman M.; Chipperfield, A.J.; Cruden, Andrew

doi:10.1109/tvt.2016.2591559

Cited by 29 publications

(8 citation statements)

References 33 publications

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“…Overall, the weight, λ, is usually set to 0.7, which is obtained by the analytic hierarchy process (AHP) method [20]. Of course, λ can be flexibly adjusted within the range of 0 to 1 according to the actual applications.…”

Section: Calculation Methods Of the Weight λmentioning

confidence: 99%

“…To analyze the lifetime aging of batteries and supercapacitors, the 100% depth of the discharge (DOD) equivalent model developed in [25] was used to evaluate the lifetime aging of batteries, as shown in (20). Moreover, the energy throughput model defined by (21) The results demonstrate that the performance of the proposed smoothing strategy is better because the daily excess energy (E over ) is significantly less than that of the reference strategy.…”

Section: Lifetime Aging Of Batteries and Supercapacitorsmentioning

confidence: 99%

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Control Strategy of a Hybrid Energy Storage System to Smooth Photovoltaic Power Fluctuations Considering Photovoltaic Output Power Curtailment

Wang

et al. 2019

Sustainability

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The power fluctuations of grid-connected photovoltaic (PV) systems have negative impacts on the power quality and stability of the utility grid. In this study, the combinations of a battery/supercapacitor hybrid energy storage system (HESS) and the PV power curtailment are used to smooth PV power fluctuations. A PV power curtailment algorithm is developed to limit PV power when power fluctuation exceeds the power capacity of the HESS. A multi-objective optimization model is established to dispatch the HESS power, considering energy losses and the state of charge (SOC) of the supercapacitor. To prevent the SOCs of the HESS from approaching their lower limits, a SOC correction strategy is proposed to correct the SOCs of the HESS. Moreover, this paper also investigates the performances (such as the smoothing effects, losses and lifetime of energy storage, and system net profits) of two different smoothing strategies, including the method of using the HESS and the proposed strategy. Finally, numerous simulations are carried out based on data obtained from a 750 kWp PV plant. Simulation results indicate that the proposed method is more economical and can effectively smooth power fluctuations compared with the method of using the HESS.

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Section: Calculation Methods Of the Weight λmentioning

confidence: 99%

Section: Lifetime Aging Of Batteries and Supercapacitorsmentioning

confidence: 99%

Control Strategy of a Hybrid Energy Storage System to Smooth Photovoltaic Power Fluctuations Considering Photovoltaic Output Power Curtailment

Wang

et al. 2019

Sustainability

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“…With emphasis on consistency, we suggest adopting an eigenvalue formulation [32]. Using this formulation, our problem becomes…”

Section: Consistent Partially Orderedmentioning

confidence: 99%

A Bayesian Approach to Control Loop Performance Diagnosis Incorporating Background Knowledge of Response Information

Zhou

Wang

2017

Journal of Control Science and Engineering

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To isolate the problem source degrading the control loop performance, this work focuses on how to incorporate background knowledge into Bayesian inference. In an effort to reduce dependence on the amount of historical data available, we consider a general kind of background knowledge which appears in many applications. The knowledge, known as response information, is about what faults can possibly affect each of the monitors. We show how this knowledge can be translated to constraints on the underlying probability distributions and introduced in the Bayesian diagnosis. In this way, the dimensionality of the observation space is reduced and thus the diagnosis can be more reliable. Furthermore, for the judgments to be consistent, the set of posterior probabilities of each possible abnormality that are computed from different observation subspaces is synthesized to obtain the partially ordered posteriors. The eigenvalue formulation is used on the pairwise comparison matrix. The proposed approach is applied to a diagnosis problem on an oil sand solids handling system, where it is shown how the combination of background knowledge and data enhances the control performance diagnosis even when the abnormality data are sparse in the historical database.

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“…In [14] V2G is being proposed for load shifting with scheduling taking place for a whole day ahead using hourly time intervals. Similarly, [15] proposes a decentralised V2G dispatch strategy, where schedules are determined at the beginning of every 30 minute time interval. [16] proposes the usage of V2G for aggregator profit maximisation during peak load shaving while lowering the cost of EV charging to the customer.…”

Section: Introductionmentioning

confidence: 99%

Multi-Layer Event-Based Vehicle-to-Grid (V2G) Scheduling With Short Term Predictive Capability Within a Modular Aggregator Control Structure

Krueger

Cruden

2020

IEEE Trans. Veh. Technol.

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In this work a novel method of event-based V2G scheduling is devised that is suitable for dynamic real time aggregator control in large scale V2G applications within centrally controlled EV car parks. The method is applicable in deterministic systems where a V2G network provides or receives electricity in reoccurring and predictable patterns (events). The scheduling strategy shown is based on a robust modular high-level aggregator control structure and a proposed communications and data management system. The scheduling consists of three algorithm layers, differentiating between predictive scheduling for in-event periods, smart charging for out-of-event periods and reactive scheduling for ongoing adjustments in real-time to account for uncertainty. The scheduling process is described in terms of its underlying rules for prioritising EVs to be either charged or discharged. It's behaviour is then analysed using a simulated car park of up to one thousand connected EVs for an example application in which a V2G network is used to support nearby electrified rail infrastructure, providing power for train acceleration and accepting power from regenerative braking. The departure or arrival of a train of known type and speed pattern can be regarded as a reoccurring event and its effect on the V2G network is therefore predictable due to train schedules and tracking.

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Dispatch of Vehicle-to-Grid Battery Storage Using an Analytic Hierarchy Process

Cited by 29 publications

References 33 publications

Control Strategy of a Hybrid Energy Storage System to Smooth Photovoltaic Power Fluctuations Considering Photovoltaic Output Power Curtailment

Control Strategy of a Hybrid Energy Storage System to Smooth Photovoltaic Power Fluctuations Considering Photovoltaic Output Power Curtailment

A Bayesian Approach to Control Loop Performance Diagnosis Incorporating Background Knowledge of Response Information

Multi-Layer Event-Based Vehicle-to-Grid (V2G) Scheduling With Short Term Predictive Capability Within a Modular Aggregator Control Structure

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