Integrating the Electrical Vehicles in the Smart Grid through unbundled Smart Metering and multi-objective Virtual Power Plants

2011 ◽  
Author(s):  
Mihai Sanduleac ◽  
Mircea Eremia ◽  
Lucian Toma ◽  
Paul Borza
Keyword(s):  
Smart Grid ◽  
Power Plants ◽  
Smart Metering ◽  
Virtual Power ◽  
Multi Objective ◽  
Virtual Power Plants ◽  
Electrical Vehicles

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

Energies ◽  
2019 ◽  
Vol 12 (12) ◽  
pp. 2398 ◽  
Author(s):  
Furquan Nadeem ◽  
Mohd Asim Aftab ◽  
S.M. Suhail Hussain ◽  
Ikbal Ali ◽  
Prashant Kumar Tiwari ◽  
...  
Keyword(s):  
Smart Grid ◽  
Smart Grids ◽  
Power Plants ◽  
Cyber Attacks ◽  
Plant Management ◽  
Stable Operation ◽  
Communication Model ◽  
Virtual Power ◽  
Iec 61850 ◽  
Virtual Power Plants

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.

A Survey of Vehicle-to-Grid Implementation through Virtual Power Plants

2014 ◽  
Vol 631-632 ◽  
pp. 314-317
Author(s):  
Zhong Wei Sun ◽  
Jing Jiao
Keyword(s):  
Power Plant ◽  
Smart Grid ◽  
Power Plants ◽  
Implementation Strategies ◽  
Control Methods ◽  
Virtual Power ◽  
Vehicle To Grid ◽  
Energy Delivery ◽  
Virtual Power Plants ◽  
Grid Applications

The Smart Grid uses two-way flows of electricity and information to create a widely distributed automated energy delivery network, and Vehicle-to-Grid (V2G) and Virtual Power Plant (VPP) are two innovative smart grid applications. This survey focuses on V2G implementation through VPPs. First, the concept of V2G and its architectures are introduced. Then VPP, a new power plant concept and its corresponding control methods are described. Finally, implementation strategies of V2G through VPPs are categorized.

scholarly journals A multi-agent system architecture for smart grid management and forecasting of energy demand in virtual power plants

2013 ◽  
Vol 51 (1) ◽  
pp. 106-113 ◽  
Author(s):  
L. Hernandez ◽  
C. Baladron ◽  
J. M. Aguiar ◽  
B. Carro ◽  
A. Sanchez-Esguevillas ◽  
...  
Keyword(s):  
Smart Grid ◽  
System Architecture ◽  
Energy Demand ◽  
Power Plants ◽  
Multi Agent System ◽  
Virtual Power ◽  
Agent System ◽  
Virtual Power Plants ◽  
Multi Agent ◽  
Grid Management

scholarly journals Multi-objective Interval Optimization of Virtual Power Plant Considering the Uncertainty of Source and Load

2021 ◽  
Vol 299 ◽  
pp. 01011
Author(s):  
Shuai Han ◽  
Leping Sun ◽  
Xiaoxuan Guo ◽  
Jianbin Lu
Keyword(s):  
Power Plant ◽  
Electric Vehicles ◽  
Power Plants ◽  
Interval Optimization ◽  
Virtual Power ◽  
Power Sources ◽  
Distributed Power ◽  
Virtual Power Plant ◽  
Multi Objective ◽  
Virtual Power Plants

As the proportion of electric vehicles and distributed power sources connected to the power grid continues to increase, virtual power plants provide new ideas for effectively solving electric vehicles and distributed power sources connected to the grid. Considering that there are obvious uncertainties in the number of dispatchable electric vehicles and the output of distributed power sources, this paper focuses on the multi-objective interval optimization problem of virtual power plants considering the uncertainty of source load. Based on the analysis of the virtual power plant architecture, aiming at the uncertainty of the source load, a multi-objective interval optimization model of the virtual power plant was established using the interval number theory; in order to verify the validity of the established model, a virtual power plant in a certain area was selected as an example for analysis. The results show that the uncertainty of distributed power sources and electric vehicles can be better avoided in the interval optimization process, and the proposed scheme has strong robustness.

scholarly journals Multi-objective optimal planning of urban virtual power plant based on electrical distance

2021 ◽  
Vol 2087 (1) ◽  
pp. 012069
Author(s):  
Rui Zeng ◽  
Gaofeng Yang ◽  
Duyang Xie ◽  
Yi Zeng ◽  
Tianwen Zheng ◽  
...  
Keyword(s):  
Urban Areas ◽  
Power Plants ◽  
Storage System ◽  
Capacity Allocation ◽  
Planning Method ◽  
Planning Model ◽  
Virtual Power ◽  
Power Sources ◽  
Multi Objective ◽  
Virtual Power Plants

Abstract Currently, virtual power plants (VPP) in urban areas face problems such as over-dispersion of distributed power sources, insufficient source-load coordination. Traditional VPP planning method increases the difficulty in the operation and the dispatch of VPP. Therefore, this paper proposes a planning method for urban VPP that fully considers the coupling characteristics between the buses. From the distribution network to district to bus, a multi-objective bilevel optimization planning model for urban VPP is established. The upper-level planning model aims at minimizing the annual comprehensive cost, and derive the overall capacity of wind power turbine (WT), photovoltaic(PV), and energy storage system (ESS) of VPP in each district. The lower-level planning model aims at minimizing the network loss, and realizes the site selection and capacity allocation in each selected site. The case study based on the IEEE-33 standard system was carried out to verify the advancement and effectiveness of the proposed method.

scholarly journals Standards-Compliant Chat-Based Middleware Platform for Smart Grid Management

Energies ◽  
2019 ◽  
Vol 12 (4) ◽  
pp. 694 ◽  
Author(s):  
Hrvoje Keserica ◽  
Stjepan Sučić ◽  
Tomislav Capuder
Keyword(s):  
Smart Grid ◽  
Power Systems ◽  
Power Plants ◽  
Centralized Control ◽  
Virtual Power ◽  
Distributed Energy ◽  
Iec 61850 ◽  
Data Semantics ◽  
Virtual Power Plants ◽  
Systems Architectures

The evolution of power systems towards the Smart Grid has introduced a significant number of unsolved issues degrading its accelerated deployment. The centralized control of distributed energy resources (DER) by utilizing virtual power plants is one of the essential Smart Grid ideas lacking plug and play capability. International standard IEC 61850 defines an architecture for describing Smart Grid subsystems. One of the main IEC 61850 contributions is a data model semantics describing different subsystems used for power systems production. The potential to utilize data semantics for describing DERs along with middleware technologies such as eXtensible Messaging and Presence Protocol (XMPP) can significantly decrease the integration timeframe of advanced power systems architectures such as virtual power plants and microgrids. This paper demonstrates the advantages of using the IEC 61850 standard along with the possibility of utilizing XMPP technology and how this affects new control architectures. Additionally, prototype implementation results are shown depending on the different communication infrastructure settings and application types used for DER control.

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