Optimal Scheduling of PEV  Charging/Discharging in Microgrids  with Combined Objectives

Cao, Chong; Cheng, Ming; Chen, Bin

doi:10.4236/sgre.2016.74008

Cited by 12 publications

(6 citation statements)

References 10 publications

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“…Authors in [4] investigated the charging strategies of multiple plug-in hybrid EVs in high density residential building integrated with solar PV generation. Authors in [20] presented a model for charge-discharge scheduling of EVs to minimize cost. Energy management systems were presented by authors in [21], [22] for the high-density residential building with vehicle-to-home (V2H) flexibilities.…”

Section: A Literature Reviewmentioning

confidence: 99%

Energy Management Systems for Residential Buildings With Electric Vehicles and Distributed Energy Resources

et al. 2021

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This paper proposes two electric energy management systems (EMSs) in the context of a gridconnected residential neighbourhood with electric vehicles (EVs), battery storage, and solar photovoltaic (PV) generation. The EMSs were developed to minimize the cost of electricity whilst having no impact on routine individual energy needs and travel patterns. The EMSs were evaluated using common sets of real data with the aim to compare the effectiveness of a centralized EMS with decentralized EMS. The models also accounted for the battery capacity degradation and the associated costs. Simulation studies and numerical analyses were presented to validate the effectiveness of the proposed EMSs considering a high-density residential building in Sydney, Australia. The simulation results indicate that the centralized EMS is more effective compared to the decentralized EMS in terms of cost savings. It is also observed that the energy management strategies significantly reduce the energy drawn from the grid compared to un-optimized energy management schemes.

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Section: A Literature Reviewmentioning

confidence: 99%

Energy Management Systems for Residential Buildings With Electric Vehicles and Distributed Energy Resources

et al. 2021

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“…In [7], authors examined the charging strategies of multiple (PHEVs) in an apartment building, equipped with a solar PV generation. In [8], the authors proposed a model to schedule the charge/discharge of EVs to reduce customer cost. In [9], [10], the authors proposed an EMS for apartment building with Vehicle-to-Home (V2H) systems.…”

Section: Literature Reviewmentioning

confidence: 99%

An aggregator-based-strategy to minimize the cost of energy consumption by optimal utilization of energy resources in an apartment building

Rafique

Nizami

Irshad

et al. 2019

2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Syst

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Buildings and transport consume two thirds of the total global energy. It is desirable to maximize the use of renewable generation in these sectors, and to optimize the use of that energy by managing diverse sources and loads. This is particularly challenging in high-density residential premises where the space for such infrastructure is limited, and storage can have significant impact on energy utilization and demand. In this paper, we have proposed an aggregator-based-strategy (ABS) to optimally utilize the available energy resources and storage in an apartment building with twenty households, each having an electric vehicle (EV), and an aggregated solar photovoltaic (PV) energy and stationary battery storage (BS) system. The strategy is flexible and can be applied to any building with EVs, solar PV and BS to minimize the cost of energy consumption without compromising the flexibility of energy usage or travel requirements. The model also accounts for the battery capacity degradation and its associated cost to make it more realistic. The model is evaluated using real data and the results show that the strategy not only reduces the cost of energy consumption but also reduces the amount of energy drawn from the grid significantly.

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“…We reformulate the PEV charging GNEP (8) to a constrained optimization problem by using regularized Nikaido-Isoda function (11).…”

Section: Reformulation and Solving The Gnepmentioning

confidence: 99%

“…Yao et al introduce PEV aggregator capacity bidding optimization to provide frequency regulation service to the independent system operator. Cao et al and Wang et al provide optimal scheduling of PEV charging profile in small‐scale Vehicle‐Grid integration systems to minimize the grid operating cost. Cao et al introduce a real‐time hardware‐in‐the loop approach to develop and verify charging scheduling schemes, which coordinates PEV charging with building loads and the renewable energy generation.…”

Section: Introductionmentioning

confidence: 99%

Generalized Nash equilibrium problem based electric vehicle charging management in distribution networks

Cao

Chen

2018

Int J Energy Res

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Summary This paper presents a generalized Nash equilibrium problem (GNEP) approach for the management of plug‐in electric vehicle (PEV) charging activities in a distribution network. The PEV charging pricing signal is designed to reflect the distribution network operational cost. The charging strategy of individual PEVs is allowed to respond price tariff to minimize its charging cost, while must also consider the charging requirement and grid facility constraints, such as vehicle on board charger, distribution node, and substation power limits. With this approach, the selected charging strategies are near socially optimal solutions under physical constraints. The PEV charging GNEP is reformulated by Nikaido‐Isoda function, which converts a distributed decision‐making problem to a constrained optimization problem. Due to the non‐differentiability of individual objective functions in the GNEP, relaxation algorithm is employed for searching optimal solutions in an iteration process. To adapt to the uncertainty and randomness of PEV fleet and grid load dynamics, the PEV charging management algorithm updates the GNEP when there are newly connected/disconnected PEVs or the load variation in the distribution network exceeds a predefined value. To validate the presented method, two use cases are defined. Simulation results of these two use cases verify the effectiveness of this method in both regulating the PEV charging activities and achieving PEV charging customers' objectives. The effect of customer participation rate on the performance of the presented control scheme is also analyzed.

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Optimal Scheduling of PEV Charging/Discharging in Microgrids with Combined Objectives

Cited by 12 publications

References 10 publications

Energy Management Systems for Residential Buildings With Electric Vehicles and Distributed Energy Resources

Energy Management Systems for Residential Buildings With Electric Vehicles and Distributed Energy Resources

An aggregator-based-strategy to minimize the cost of energy consumption by optimal utilization of energy resources in an apartment building

Generalized Nash equilibrium problem based electric vehicle charging management in distribution networks

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