Distributed Economic Dispatch of Virtual Power Plant under a Non-Ideal Communication Network

Cao, Chi; Xie, Jun; Yue, Dong; Huang, Chongxin; Wang, Jixiang; Xu, Shuyang; Chen, Xingying

doi:10.3390/en10020235

Cited by 28 publications

(19 citation statements)

References 23 publications

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“…In charging mode, EV consumes power from microgrid; in discharging mode, the power is fed back into the microgrid, which overcomes the scarcity of the local generation and meets the total load demand. The power consumed and discharged by EV at the charging station is formulated in [26] and has been reproduced here as (8), (9), and subject to operating constraints of voltage and current limit as per (10) and (11), respectively.…”

Section: Energy Management In Microgrid With Vppmentioning

confidence: 99%

Virtual Power Plant Management in Smart Grids with XMPP Based IEC 61850 Communication

Nadeem

Aftab

Hussain³

et al. 2019

Energies

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Communication plays a key role in the effective management of virtual power plants (VPPs). For effective and stable operation of VPPs, a reliable, secure, and standardized communication infrastructure is required. In the literature, efforts were made to develop this based on industry standards, such as the IEC 60870-5-104, OpenADR 2.0b and IEC 61850. Due to its global acceptance and strong object-oriented information models, IEC 61850 standard-based communication is preferred for smart grid operations, including VPPs. However, communication models based on IEC 61850 present cybersecurity and scalability challenges. To address this issue, this paper presents an eXtensible Message Presence Protocol (XMPP)-based IEC 61850 communication for VPPs. Firstly, a full mapping of IEC 61850 messages for VPP energy management is carried out. Secondly, XMPP-based single- and multiple-domain communications are demonstrated. Finally, a federation concept has been added to facilitate communication in multi-domain communication networks. These models show that a standard communication model can be implemented with IEC 61850 and XMPP, not only for VPPs but other wide-area communication implementations in smart grids. This not only facilitates plug-and-play (PnP) with easy component additions but secures smart grid communication against cyber-attacks.

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Section: Energy Management In Microgrid With Vppmentioning

confidence: 99%

Virtual Power Plant Management in Smart Grids with XMPP Based IEC 61850 Communication

Nadeem

Aftab

Hussain³

et al. 2019

Energies

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“…In order to achieve effective management of DERs with large quantities and scattered geographical locations, and eliminate the intermittent and random effects of renewable energy power generation, the concept of VPP has been mentioned [6][7][8]. The VPP can aggregate DERs based on their respective characteristics, achieve efficient use of various types of resources, and reduce the generation of abandoned wind power (WP) and photovoltaic (PV).…”

Section: Introductionmentioning

confidence: 99%

Multi-Objective Virtual Power Plant Construction Model Based on Decision Area Division

Duan

Wang

Gao³

et al. 2018

Applied Sciences

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Virtual power plant (VPP) is an effective technology form to aggregate the distributed energy resources (DERs), which include distributed generation (DG), energy storage (ES) and demand response (DR). The establishment of a unified and coordinated control of VPP is an important means to achieve the interconnection of energy internet. Therefore, this paper focuses on the research of VPP construction model. Firstly, a preliminary introduction on all kinds of the DERs is carried out. According to the relevant guidelines, the decision area of the VPP is carefully divided, and the decision variables representing the various resources in the area are determined. Then, in order to get a VPP with low daily average cost, good load characteristics, high degree of DG consumption and high degree of resource aggregation, a multi-objective VPP construction model based on decision area division is established, and various constraints including geographic information are considered. The improved bat algorithm based on priority selection is used to solve this model. Finally, the correctness and effectiveness of the model are verified by an example.

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“…Bai et al [17] proposed a multi-target capacity allocation optimization model for a wind/light/firewood/storage micro-grid system with a seawater desalination load with the objective of a minimum investment operation cost and a maximum renewable energy utilization ratio. Cao et al [18] analyzed a micro-grid including renewable energy, energy storage, CHP system, etc., and the optimal outputs for each unit. Liu et al [19] expressed the uncertainty of a wind power output by interval, and studied the robust stochastic bidding model for virtual power plants with wind/pumped storage/gas units.…”

Section: Introductionmentioning

confidence: 99%

A CVaR-Robust Risk Aversion Scheduling Model for Virtual Power Plants Connected with Wind-Photovoltaic-Hydropower-Energy Storage Systems, Conventional Gas Turbines and Incentive-Based Demand Responses

Tan

et al. 2018

Energies

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To make full use of distributed energy resources to meet load demand, this study aggregated wind power plants (WPPs), photovoltaic power generation (PV), small hydropower stations (SHSs), energy storage systems (ESSs), conventional gas turbines (CGTs) and incentive-based demand responses (IBDRs) into a virtual power plant (VPP) with price-based demand response (PBDR). Firstly, a basic scheduling model for the VPP was proposed in this study with the objective of the maximum operation revenue. Secondly, a risk aversion model for the VPP was constructed based on the conditional value at risk (CVaR) method and robust optimization theory considering the operating risk from WPP and PV. Thirdly, a solution methodology was constructed and three cases were considered for comparative analyses. Finally, an independent micro-grid on an industrial park in East China was utilized for an example analysis. The results show the following: (1) the proposed risk aversion scheduling model could cope with the uncertainty risk via a reasonable confidence degree β and robust coefficient Γ. When Γ ≤ 0.85 or Γ ≥ 0.95, a small uncertainty brought great risk, indicating that the risk attitude of the decision maker will affect the scheduling scheme of the VPP, and the decision maker belongs to the risk extreme aversion type. When Γ ∈ (0.85, 0.95), the decision-making scheme was in a stable state, the growth of β lead to the increase of CVaR, but the magnitude was not large. When the prediction error e was higher, the value of CVaR increased more when Γ increased by the same magnitude, which indicates that a lower prediction accuracy will amplify the uncertainty risk. (2) when the capacity ratio of (WPP, PV): ESS was higher than 1.5:1 and the peak-to-valley price gap was higher than 3:1, the values of revenue, VaR, and CVaR changed slower, indicating that both ESS and PBDR can improve the operating revenue, but the capacity scale of ESS and the peak-valley price gap need to be set properly, considering both economic benefits and operating risks. Therefore, the proposed risk aversion model could maximize the utilization of clean energy to obtain higher economic benefits while rationally controlling risks and provide reliable decision support for developing optimal operation plans for the VPP.

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Distributed Economic Dispatch of Virtual Power Plant under a Non-Ideal Communication Network

Cited by 28 publications

References 23 publications

Virtual Power Plant Management in Smart Grids with XMPP Based IEC 61850 Communication

Virtual Power Plant Management in Smart Grids with XMPP Based IEC 61850 Communication

Multi-Objective Virtual Power Plant Construction Model Based on Decision Area Division

A CVaR-Robust Risk Aversion Scheduling Model for Virtual Power Plants Connected with Wind-Photovoltaic-Hydropower-Energy Storage Systems, Conventional Gas Turbines and Incentive-Based Demand Responses

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