Abstract
In a general way, the electrical network is the set of lines, transformers and infrastructures that carry electricity from generation centers to final consumers. The current networks were designed and are in operation since the mid-twentieth century and were conceived to cover a situation in which the main generation centers were far from the populations. The new energy model is totally different and is transforming the current system into a distributed system, in which any agent that is connected to the network has the possibility of providing energy, enabling the creation of microgenerators, so that there is no such direct dependence as with the current energy generation. Thanks to this type of network, it is possible to drastically reduce losses due to energy transport, facilitate the connection to the network of all types of renewable energies and support energy storage capacities. But this structure requires management systems and integration of the microgenerators in the electrical system and it is in this moment when the concept of Virtual Power Plant (VPP) appears, which arises from the grouping of a series of small generators acting as a unit. Taking value from the energy microgeneration concept and the microgrids, a VPP connects many of these microgenerators to work together as a traditional plant through a centralized control system. A VPP achieves to interlink multiple concentrated sources in one area: wind, solar, storage batteries, biomass plants and conventional generation sources, and coordinate them through remote software. A Virtual Power Plant is one of the main functions of the smart grids. Through it, various distributed generation resources are brought together, dispersed throughout the network, with the capacity to respond intelligently to demand control and turn them into positions of active resources that function as a single centralized generating plant. In this way, the capacity of the virtual plant would be the sum of the powers of all the elements that make it up. We can say that VPPs use the Intelligent Network to enter the system and this can represent a reduction in demand and therefore affects the offer. It is called Virtual because it is in the digital world where, through telecommunications and control networks, it can be linked to physical elements through software. For the virtual power plant, sensors are used to collect data that are collected through a secure telecommunications infrastructure to convert them into information and be controlled by the system operator. The VPP is then a technical, operational and economic concept that is located in the digital part of the electrical network and provides facilities that allow greater flexibility of the electrical system. On the other hand, in recent years, within the electrical generation system, wind power has taken on great importance and has significantly increased its share of space in the generation market. This has implied an increasing value in the number of wind turbines connected to the network. This growing penetration of wind generation involves new factors to be taken into account in aspects such as frequency control, where the inertia of the system plays a determining role. The inertia of the system determines how the frequency will vary when a change occurs in the generation or in the power demand. The doubly-fed induction generator wind turbines, the preferred choice for extensive wind farms, can reduce the effective inertia of the system. These variable speed wind turbines can emulate inertia by fast active power control. This virtual inertia can be taken as an important way for the control of the frequency.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
J. Bilbao, E. Bravo, O. Garcia, C. Varela, M. Rodriguez, P. Gonzalez, The next future of solar energy generation. Int. J. Tech. Phys. Probl. Eng. (IJTPE) Issue 12, 4(3), 162–166 (2012)
J. Bilbao, E. Bravo, O. Garcia, C. Varela, M. Rodriguez, P. Gonzalez, Some keys for obtaining a secure and solid energy supply in Europe. Int. J. Tech. Phys. Probl. Eng. (IJTPE) Issue 20, 6(3), 153–157 (2014)
European Commission, Renewable energy: moving towards a low carbon economy (2018). https://ec.europa.eu/energy/en/topics/renewable-energy
The Paris Agreement. United Nations (2018). https://unfccc.int/process-and-meetings/the-paris-agreement/the-paris-agreement
Net Electric from Spain (2018). https://www.ree.es/en
S.M. Nosratabadi, R.A. Hooshmand, E. Gholipour, A comprehensive review on microgrid and virtual power plant concepts employed for distributed energy resources scheduling in power systems. Renew. Sustain. Energy Rev. 67, 341–363 (2017)
D. Pudjianto, C. Ramsay, G. Strbac, Virtual power plant and system integration of distributed energy resources. IET Renew. Power Gener. 1(1), 10–16 (2007)
Pike Research Institute, Executive summary: virtual power plants. Retrieved from Smart Grid Platforms for Aggregating Distributed Renewables, Demand Response and Energy Storage Technologies (2001). http://www.pikeresearch.com
H. Saboori, M. Mohammadi, R. Taghe, Virtual power plant (VPP), definition, concept, components and types, in Power and Energy Engineering Conference (APPEEC), Asia-Pacific (2011)
Siemens, Virtual power plants by Siemens, DEMS-Decentralized Energy Management System (2013)
T.H. Jin, H. Park, M. Chung, K.Y. Shin, A. Foley, L. Cipcigan, Review of virtual power plant applications for power system management and vehicle-to-grid market development. Trans Korean Inst. Electr. Eng. 65(12), 2251 (2016)
K. Mussenbrock, Virtual power plant, Altran instrument for dealing with flexibilities in energy markets. European Utility Week, Amsterdam (2014-11-05)
C. Webb, Virtual power plants: making the most of distributed generation (01 Aug 2010). http://www.powerengineeringint.com/articles/print/volume-18/issue-7/features/virtual-power-plants-making-the-most-of-distributed-generation.html
M. LaMonica, Virtual power plants fill supply gaps in heat wave (13 July 2010). http://news.cnet.com/8301-11128_3-20010317-54.html
N. Ruiz, I. Cobelo, J. Oyarzabal, A direct load control model for virtual power plant management. IEEE Trans. Power Syst. 24(2) (2009)
EnerNoc Annual Report 2011. USA, 2011. http://www.annualreports.com/HostedData/AnnualReportArchive/E/NASDAQ_ENOC_2011.pdf
S. You, C. Træholt, B. Poulsen, A market-based virtual power plant, in ICCEP (2009)
J. Kumagai, Virtual power plants. Real power, in IEEE Spectrum (Mar 2012)
E. Mashhour, S.M. Moghaddas Tafreshi, Bidding strategy of virtual power plant for participating in energy and spinning reserve markets—Part I: problem formulation. IEEE Trans. Power Syst. 26(2) (2011)
E. Mashhour, S.M. Moghaddas Tafreshi, Bidding strategy of virtual power plant for participating in energy and spinning reserve markets—Part II: numerical analysis. IEEE Trans. Power Syst. 26(2) (2011)
R. Madrigal, Overview of reliability demand response resource. California ISO (CAISO), Customer Service Department (May 2014). http://www.caiso.com/Documents/ReliabilityDemandResponseResourceOverview.pdf
Energynautics, Bundling decentralized power generation. Retrieved from “Virtual Power Plants” as an Innovative Organizing Principle, http://www.energynautics.com/our_expertise/research/virtual_power_plants/ (n.d.)
N. Mahmoudi, T.K. Saha, M. Eghba, Wind offering strategy in the Australian National Electricity Market: a two-step plan considering demand response. Electr. Power Syst. Res. 119, 187–198 (2015)
World Energy Council, Energy for Germany. Facts, outlook and opinions in a global context. Weltenergierat – Deutschland e.V. (2011)
European Commission, Virtual power plant at RWE. e-Business Watch report, Germany (2009)
P. Duvoor, Virtual power plants in competitive wholesale electricity markets—experience with RWE virtual power plant in Germany. Siemens Smart Grid Division (2012)
J.M. Corera, Integrated Project FENIX—what is it all about? FENIX Bulletin 1 (Nov 2007)
C. Ramsay, The Virtual Power Plant: enabling integration of distributed generation and demand. FENIX Bulletin 2 (Jan 2008)
Electric Power Research Institute, Estimating the costs and benefits of the smart grid (2011). http://ipu.msu.edu/programs/MIGrid2011/presentations/pdfs/Reference%20Material%20-%20Estimating%20the%20Costs%20and%20Benefits%20of%20the%20Smart%20 Grid.pdf
C. Ross, Virtual power plants systems of the future (July 2011). http://www.ecmag.com/?fa=article&articleID=12876
S. Lacey, Virtual power plants aren’t just virtual—they’re real (25 Mar 2011), http://www.renewableenergyworld.com/rea/news/podcast/2011/03/virtual-power-plants-arent-just-virtual-theyre-real
U. Gerder, Technical summary of the combined power plant. Renewable Energy Campaign Germany (2007). http://www.kombikraftwerk.de/fileadmin/downloads/Technik_Kombikraftwerk_EN.pdf
Kombikraftwerk 2. Final report (Aug 2014). http://www.kombikraftwerk.de/fileadmin/ Kombikraftwerk_2/English/Kombikraftwerk2_FinalReport.pdf
PV Magazine, August 2018 www.pv-magazine.com
L. Yan, China’s first virtual power plant put into operation. People’s Daily Online (25 May 2017). http://en.people.cn/n3/2017/0525/c90000-9220528.html
South Australia’s Virtual Power Plant. Government of South Australia (2018). https://virtualpowerplant.sa.gov.au/virtual-power-plant
J. Morren, J. Pierik, S.W.H. de Haan, Inertial response of variable speed wind turbines. Electr. Power Syst. Res. 76(11), 980–987 (2006)
M. Villarrubia, in Wind Energy Engineering (MARCOMBO, S.A., 2012)
M. Mohseni, S. Islam, A space vector-based current controller for doubly fed induction generators, in 35th Annual Conference of IEEE, Porto, Portugal (2009), pp. 3868–3873
M. Liserre, R. Cardenas, M. Molinas, J. Rodriguez, Overview of multi-MW wind turbines and wind parks. IEEE Trans. Industr. Electron. 58(4), 1081–1095 (2011)
J. Ekanayake, L. Holdsworth, N. Jenkins, Control of DFIG wind turbines. Power Eng. 17(1), 28–32 (2003)
X. Zhu, Y. Wang, L. Xu, X. Zhang, H. Li, Virtual inertia control of DFIG-based wind turbines for dynamic grid frequency support, in Conference on IET. Renewable Power Generation (2011), pp. 1–6
C.M. Deepak, A. Vijayakumari, S.R. Mohanrajan, Virtual inertia control for transient active power support from DFIG based wind electric system, in The 2nd IEEE International Conference On Recent Trends in Electronics Information & Communication Technology (RTEICT), India, May 19–20 (2017)
N. Aparicio, New strategies for the contribution of wind farms to the frequency control of electrical systems. Doctoral thesis, Polytechnic University of Valencia (2011)
Z. Zhang, Y. Wang, H. Li, X. Su, Comparison of inertia control methods for DFIG based wind turbines, in IEEE ECCE Asia Downunder (ECCE Asia) (2013), pp. 960–964
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Bilbao, J., Bravo, E., Rebollar, C., Varela, C., Garcia, O. (2020). Virtual Power Plants and Virtual Inertia. In: Mahdavi Tabatabaei, N., Kabalci, E., Bizon, N. (eds) Microgrid Architectures, Control and Protection Methods. Power Systems. Springer, Cham. https://doi.org/10.1007/978-3-030-23723-3_5
Download citation
DOI: https://doi.org/10.1007/978-3-030-23723-3_5
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-23722-6
Online ISBN: 978-3-030-23723-3
eBook Packages: EnergyEnergy (R0)