Optimal Virtual Power Plant Operational Regime Under Reserve Uncertainty

Wang, Han; Jia, Youwei; Lai, Chun Sing; Li, Kang

doi:10.1109/tsg.2022.3153635

Cited by 25 publications

(6 citation statements)

References 37 publications

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“…A VPP is usually used as a power plant to satisfy the power system operation or to take part in the market of auxiliary services [29,30] . The auxiliary services of the power system include frequency regulation services [31,32] , energy reserve services [33,34] , and voltage management services [35] . VPP can effectively manage large-scale DERs, such as flexible loads.…”

Section: Value Property Of Vppsmentioning

confidence: 99%

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Review of demand-side energy sharing and collective self-consumption schemes in future power systems

Zhu

Borghetti

et al. 2023

iEnergy

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The widespread use of distributed energy sources provides exciting potential for demand-side energy sharing and collective selfconsumption schemes. Demand-side energy sharing and collective self-consumption systems are committed to coordinating the operation of distributed generation, energy storage, and load demand. Recently, with the development of Internet technology, sharing economy is rapidly penetrating various fields. The application of sharing economy in the energy sector enables more and more endusers to participate in energy transactions. However, the deployment of energy sharing technologies poses many challenges. This paper comprehensively reviews recent developments in demand-side energy sharing and collective self-consumption schemes. The definition and classification of sharing economy are presented, with a focus on the applications in the energy sector: virtual power plants, peer-to-peer energy trading, shared energy storage, and microgrid energy sharing cloud. Challenges and future research directions are thoroughly discussed.

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Section: Value Property Of Vppsmentioning

confidence: 99%

“…Ref. [33] developed a risk-aware stochastic adaptive robust optimization model for VPP trading under the day-ahead energy-reserve market. The Bendersdecomposition-based iterative algorithm is used to solve the optimization model.…”

Section: Coordinated and Optimized Operationmentioning

confidence: 99%

Review of demand-side energy sharing and collective self-consumption schemes in future power systems

Zhu

Borghetti

et al. 2023

iEnergy

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“…In the objective function, the total load variation across the rolling horizon is minimized. The EV charging power is limited by (2). The average load is calculated by (3).…”

Section: Centralized Problem Formulationmentioning

confidence: 99%

Electric Vehicle Charging Scheduling Strategy for Supporting Load Flattening Under Uncertain Electric Vehicle Departures

Wang,

Shi,

Xie

et al. 2023

Journal of Modern Power Systems and Clean Energy

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The scheduled electric vehicle (EV) charging flexibility has great potential in supporting the operation of power systems, yet achieving such benefits is challenged by the uncertain and user-dependent nature of EV charging behavior. Existing research primarily focuses on modeling the uncertain EV arrival and battery status yet rarely discusses the uncertainty in EV departure. In this paper, we investigate the EV charging scheduling strategy to support load flattening at the distribution level of the utility grid under uncertain EV departures. A holistic methodology is proposed to formulate the unexpected trip uncertainty and mitigate its negative impacts. To ensure computational efficiency when large EV fleets are involved, a distributed solution framework is developed based on the alternating direction method of multipliers (ADMM) algorithm. The numerical results reveal that unexpected trips can severely damage user convenience in terms of EV energy content. It is further confirmed that by applying the proposed methodology, the resultant critical and sub-critical user convenience losses due to scheduled charging are reduced significantly by 83.5% and 70.5%, respectively, whereas the load flattening performance is merely sacrificed by 17%.

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“…The solution methodology for day-ahead minimax regret problems can be referred to [42] [43]. As a mixed-integer quadratic programming problem, the real-time balancing problem can be readily solved by commercial solvers such as GUROBI [44].…”

Section: Cooperative Vpp-css Real-time Balancingmentioning

confidence: 99%

A Mutually Beneficial Operation Framework for Virtual Power Plants and Electric Vehicle Charging Stations

Wang

Jia

Shi

et al. 2023

IEEE Trans. Smart Grid

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Virtual power plants (VPPs) and electric vehicle (EV) charging stations (CSs) have been attracting much attention in recent years. However, existing research rarely concerns the cooperation between VPPs and CSs that are managed by different stakeholders. To facilitate the cooperation between VPPs and CSs, this work proposes a cooperative operation framework for a multi-stakeholder VPP-CSs system. In the proposed cooperative framework, day-ahead offering and real-time balancing models are developed to maximize the total benefit of the VPP-CSs system. To support a more flexible operation of the VPP-CSs system with EV energy flexibility, an EV user incentive program is proposed for acquiring EV battery access rights.The conflicting interests of different stakeholders are addressed by a τ-value cost allocation method. To alleviate the computational burden in calculating the τ-values, a maximum right cost estimation approach is proposed. Case studies confirm that the proposed methods can provide superior performance by increasing 4.6% of VPP profit, increasing 20.7% of CS profit, reducing 16.3% of EV user charging fees, and achieving 99.2% of τ-value estimation accuracy.

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Optimal Virtual Power Plant Operational Regime Under Reserve Uncertainty

Cited by 25 publications

References 37 publications

Review of demand-side energy sharing and collective self-consumption schemes in future power systems

Review of demand-side energy sharing and collective self-consumption schemes in future power systems

Electric Vehicle Charging Scheduling Strategy for Supporting Load Flattening Under Uncertain Electric Vehicle Departures

A Mutually Beneficial Operation Framework for Virtual Power Plants and Electric Vehicle Charging Stations

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