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2020 | OriginalPaper | Buchkapitel

1. Challenges of Smart Grids Implementation

verfasst von : Roya Ahmadiahangar, Argo Rosin, Ivo Palu, Aydin Azizi

Erschienen in: Demand-side Flexibility in Smart Grid

Verlag: Springer Singapore

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Abstract

Increasing share of renewable energy resources, implementation of new technologies and data management methods in power system, development of communication systems from one side, and higher demand of electricity and concerns for increasing existing transmission lines while maintaining grid stability and reliability have been the main motivations for moving toward Smart Grid.

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Nächstes Kapitel On the Concept of Flexibility in Electrical Power Systems: Signs of Inflexibility
Literatur
1.
G. Dileep, A survey on smart grid technologies and applications. Renew. Energy 146, 2589–2625 (2020)CrossRef
2.
Office of the National Coordinator for Smart Grid Interoperability Engineering Laboratory in collaboration with Physical Measurement Laboratory and Information Technology Laboratory. NIST Framework and Roadmap for Smart Grid Interoperability Standards, Release 2.0 (NIST Special Publication, 1108R2, 2012)
3.
4.
5.
R. AhmadiAhangar, A. Rosin, A.N. Niaki, I. Palu, T. Korõtko, A review on real-time simulation and analysis methods of microgrids. Int. Trans. Electr. Energy Syst. 29(11), e12106 (2019)CrossRef
6.
7.
S. Parhizi, H. Lotfi, A. Khodaei, S. Bahramirad, State of the art in research on microgrids: a review. IEEE Access 3, 890–925 (2015)CrossRef
8.
D. Lebedev, A. Rosin, L. Kütt, Simulation of real time electricity price based energy management system, in IECON 2016—42nd Annual Conference of the IEEE Industrial Electronics Society, Florence, Italy (2016)
9.
D. Lebedev, A. Rosin, Practical use of the energy management system with day-ahead electricity prices, in IEEE 5th International Conference on Power Engineering, Energy and Electrical Drives (POWERENG), Riga, Latvia (2015)
10.
M. Mohammadi, F. Talebpour, E. Safaee, N. Ghadimi, O. Abedinia, Small-scale building load forecast based on hybrid forecast engine. Neural Process. Lett. 48(1), 329–351 (2017)CrossRef
11.
O. Abedinia, M. Bekravi, N. Ghadimi, Intelligent controller based wide-area control in power system. Int. J. Uncertainty, Fuzziness Knowl. Based Syst. 25(1), 1–30 (2017)CrossRef
12.
R. Ahmadi, A. Sheykholeslami, A.N. Niaki, H. Ghaffari, Power flow control and solutions with dynamic flow controller, in Electric Power Conference, EPEC 2008. IEEE Canada, Vancouver (2008)
13.
T. Logenthiran, R.T. Naayagi, W.L. Woo, V.T. Phan, K. Abidi, Intelligent control system for microgrids using multiagent system. IEEE J. Emerg. Sel. Top. Power Electron. 3(4), 1036–1045 (2015)CrossRef
14.
E. Imaie, A. Sheikholeslami, R. Ahmadi Ahangar, Improving short-term wind power prediction with neural network and ICA algorithm and input feature selection. J. Adv. Comput. Res. 5(3), 13–34 (2014)
15.
J. Xiao, P. Wang, L. Setyawan, X. Qianwen, Multi-level energy management system for real-time scheduling of dc microgrids with multiple slack terminals. IEEE Trans. Energy Convers. 31(1), 392–401 (2016)CrossRef
16.
M.H. Cintuglu, T. Youssef, Development and application of a real-time testbed for multiagent system interoperability: a case study on hierarchical microgrid control. IEEE Trans. Smart Grid 9(3), 1759–1765 (2018)CrossRef
17.
M.C. Magro, M. Giannettoni, P. Pinceti, Real time simulator for microgrids. Electric Power Syst. Res. 160, 381–396 (2018)CrossRef
18.
F. Huerta, R.L. Tello, M. Prodanovic, Real-time power-hardware-in-the-loop implementation of variable-speed wind turbines. IEEE Trans. Industr. Electron. 64(3), 1893–1904 (2017)CrossRef
19.
A. Rahmoun, A. Armstorfer, H. Biechi, A. Rosin, Mathematical modeling of a battery energy storage system in grid forming mode, in IEEE 58th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON) (2017)
20.
I. Roasto, T. Lehtla, T. Moller, A. Rosin, Control of ultracapacitors energy exchange, in 12th International Power Electronics and Motion Control Conference, EPE-PEMC 2006
21.
S. Choudhury, T.P. Dash, P. Bhowmik, P.K. Rout, A novel control approach based on hybrid fuzzy logic and seeker optimization for optimal energy management between micro-sources and supercapacitor in an islanded Microgrid. J. King Saud Univ. Eng. Sci. https://​doi.​org/​10.​1016/​j.​jksues.​2018.​03.​006 (in Press, 2019)
22.
Q. Jiang, M. Xue, G. Geng, Energy management of microgrid in grid-connected and stand-alone modes. IEEE Trans. Power Syst. 28(3), 3380–3389 (2013)CrossRef
23.
R. Ahmadi, F. Ghardashi, D. Kabiri, A. Sheykholeslami, H. Haeri, Voltage and frequency control in smart distribution systems in presence of DER using flywheel energy storage system, in IET Digital Library, pp. 1307–1307 (2013)
24.
A. Selakov, D. Bekut, A.T. Sarić, A novel agent-based microgrid optimal control for grid-connected, planned island and emergency island operations. Int. Trans. Electr. Energy Syst. 26, 1999–2022 (2016)CrossRef
25.
F. Zhang, H. Zhao, M. Hong, Operation of networked microgrids in a distribution system. CSEE J. Power Energy Syst. 1(4), 12–21 (2015)CrossRef
26.
S. Chandak, P. Bhowmik, M. Mishra, P.K. Rout, Autonomous microgrid operation subsequent to an anti-islanding scheme. Sustain. Cities Soc. 39, 430–448 (2018)CrossRef
27.
K. Peterson, R. Ahmadiahangar, N. Shabbir, T. Vinnal, Analysis of microgrid configuration effects on energy efficiency, in 2019 IEEE 60th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON), Riga (2019)
28.
J. Li, Y. Liu, W. Lei, Optimal operation for community-based multi-party microgrid in grid-connected and islanded modes. IEEE Trans. Smart Grid 9(2), 756–765 (2018)
29.
P.M. de Quevedo, J. Contreras, A. Mazza, G. Chicco, R. Porumb, Reliability assessment of microgrids with local and mobile generation, time-dependent profiles, and intraday reconfiguration. IEEE Trans. Ind. Appl. 54(1), 61–72 (2017)CrossRef
30.
R. Ahmadi, A. Sheikholeslami, A. Nabavi Niaki, A. Ranjbar, Dynamic participation of doubly fed induction generators in multi-control area load frequency control. Int. Trans. Electr. Energy Syst. 25(7), 1130–1147 (2015)CrossRef
31.
R. Ahmadiahangar, A. Sheykholeslami, Bulk virtual power plant, a novel concept for improving frequency control and stability in presence of large scale RES. Int. J. Mechatron. Electr. Comput. Technol. 4(10), 1017–1044 (2014)
32.
33.
A. Rahmoun, N. Beg, A. Rosin, H. Biechl, Stability and eigenvalue sensitivity analysis of a BESS model in a microgrid, in 2018 IEEE International Energy Conference (ENERGYCON) (2018)
34.
S. Choudhury, P. Bhowmik, P.K. Rout, Robust dynamic fuzzy-based enhanced VPD/FQB controller for load sharing in microgrid with distributed generators. Electr. Eng. 100(4), 2457–2472 (2018)CrossRef
35.
S. Choudhury, P. Bhowmik, P.K. Rout, Seeker optimization approach to dynamic PI based virtual impedance drooping for economic load sharing between PV and SOFC in an islanded microgrid. Sustain. Cities Soc. 37, 550–562 (2018)CrossRef
36.
M. Cucuzzella, G.P. Incremona, A. Ferrara, Decentralized sliding mode control of islanded ac microgrids with arbitrary topology. IEEE Trans. Industr. Electron. 64(8), 6706–6713 (2017)CrossRef
37.
A. Bidram, A. Davoudi, F.L. Lewis, J.M. Guerrero, Distributed cooperative secondary control of microgrids using feedback linearization. IEEE Trans. Power Syst. 28(3), 3462–3470 (2013)CrossRef
38.
W. Liu, W. Giu, W. Sheng, X. Meng, S. Xue, M. Chen, Pinning based distributed cooperative control for autonomous microgrids under uncertain communication topologies. IEEE Trans. Power Syst. 31(2), 1320–1329 (2016)CrossRef
39.
S. Manaffam, M. Talebi, A.K. Jain, A. Behal, Intelligent pinning based cooperative secondary control of distributed generators for microgrid in islanding operation mode. IEEE Trans. Power Syst. 33(2), 1364–1373 (2018)CrossRef
40.
Economic load sharing in a D-STATCOM integrated islanded microgrid based on fuzzy logic and seeker optimization approach. Sustain. Cities Soc. 37, 57–69 (2018)
41.
G.G. Talapur, H.M. Suryawanshi, A reliable microgrid with seamless transition between grid connected and islanded mode for residential community with enhanced power quality. IEEE Trans. Ind. Appl. 54(5), 5246–5255 (2018)CrossRef
42.
L.G. Meegahapola, D. Robinson, A.P. Agalgaonkar, S. Perera, P. Ciufo, Microgrids of commercial buildings: strategies to manage mode transfer from grid connected to islanded mode. IEEE Trans. Sustain. Energy. 5(4), 1337–1347 (2014)CrossRef
43.
Hybrid islanding detection with optimum feature selection and minimum NDZ. Int. Trans. Electr. Energy Syst. 28(10), e2602 (2018)
44.
A. Micallef, M. Apap, C. Spiteri-Staines, J.M. Guerrero, Single-phase microgrid with seamless transition capabilities between modes of operation. IEEE Trans. Smart Grid 6(6), 2736–2745 (2015)CrossRef
45.
Y.A. Mohamed, A.A. Radwan, Hierarchical control system for robust microgrid operation and seamless mode transfer in active distribution systems. IEEE Trans. Smart Grid 2(2), 352–362 (2016)CrossRef
46.
P. Bhowmik, S. Chandak, P. Kumar, State of charge and state of power management among the energy storage systems by the fuzzy tuned dynamic exponent and the dynamic PI controller. J. Energy Storage 19, 348–363 (2018)CrossRef
47.
48.
M. Moretti, S.N. Djomo, H. Azadi, K. May, K. De Vos, S. Van Passel, N. Witters, A systematic review of environmental and economic impacts of smart grids. Renew. Sustain. Energy Rev 68, 888–889 (2017)CrossRef
49.
M. Mahmudizad, R. Ahmadiahangar, Improving load frequency control of multi-area power system by considering uncertainty by using optimized type 2 fuzzy pid controller with the harmony search algorithm. World Acad. Sci. Eng. Technol. Int. J. Electr. Comput. Energ. Electron. Commun Eng. 10(8), 1051–1061 (2016)
50.
K.M. Tan, V.K. Ramachandaramurthy, J.Y. Yong, Integration of electric vehicles in smart grid: a review on vehicle to grid technologies and optimization techniques. Renew. Sustain. Energy Rev. 53, 720–732 (2016)CrossRef
51.
S.V. Oprea, A. Bâra, G. Ifrim, Flattening the electricity consumption peak and reducing the electricity payment for residential consumers in the context of smart grid by means of shifting optimization algorithm. Comput. Industr. Eng. 122, 125–139 (2018)CrossRef
52.
R. Ahmadiahangar, T. Häring, A. Rosin, T. Korõtko, J. Martins, Residential load forecasting for flexibility prediction using machine learning-based regression model, in 2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe (EEEIC/I&CPS Europe), Genoa, Italy, pp. 2–19
53.
N. Shabbir, R. Ahmadiahangar, L. Kütt, A. Rosin, Comparison of machine learning based methods for residential load forecasting, in 2019 Electric Power Quality and Supply Reliability Conference (PQ) & 2019 Symposium on Electrical Engineering and Mechatronics (SEEM) (2019)
54.
T. Häring, R. Ahmadiahangar, A. Rosin, H. Biechl, Impact of load matching algorithms on the battery capacity with different household occupancies, in IECON 2019-45th Annual Conference of the IEEE Industrial Electronics Society, Lisbon (2019)
55.
VassaETT, Smart grid 2013 global impact report. SMARTGRID.GOV, DOE, U.S., (October 2013)
56.
R. Kappagantu, S.A. Daniel, Journal of Electrical Systems and Information Technology 5, 453–467 (2018)CrossRef
57.
C. Tu, X. He, Z. Shuai, F. Jiang, Big data issues in smart grid–A review. Renew. Sustain. Energy Rev. 79, 1099–1107 (2017)CrossRef
58.
H. Daki, A. El Hannani, A. Aqqal, A. Haidine, A. Dahbi, Big Data management in smart grid: concepts, requirements and implementation. Big Data 4(13), 1–19 (2017)
59.
A.B. Dayani, H. Fazlollahtabar, R. Ahmadiahangar, A. Rosin, M.S. Naderi, M. Bagheri, Applying reinforcement learning method for real-time energy management, in 2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe (EEEIC/I&CPS Europe) (2019)
60.
H. Fallahzadeh-Abarghouei, S. Hasanvand, A. Nikoobakht, Decentralized and hierarchical voltage management of renewable energy resources in distribution smart grid. Int. J. Electr. Power Energy Syst. 100, 117–128 (2018)CrossRef
61.
K.G. Firouzjah, R. Ahmadiahangar, A. Rosin, T. Häring, A fast current harmonic detection and mitigation strategy for shunt active filter, in 2019 Electric Power Quality and Supply Reliability Conference (PQ) & 2019 Symposium on Electrical Engineering and Mechatronics (SEEM) (2019)
62.
A. Fernández-Guillamón, E. Gómez-Lázaro, E. Muljadi, Power systems with high renewable energy sources: a review of inertia and frequency control strategies over time. Renew. Sustain. Energy Rev. 115, 109369 (2019)CrossRef
Metadaten
Titel
Challenges of Smart Grids Implementation
verfasst von
Roya Ahmadiahangar
Argo Rosin
Ivo Palu
Aydin Azizi
Copyright-Jahr
2020
Verlag
Springer Singapore
Buch
Demand-side Flexibility in Smart Grid

Print ISBN: 978-981-15-4626-6

Electronic ISBN: 978-981-15-4627-3

Copyright-Jahr: 2020

DOI
https://doi.org/10.1007/978-981-15-4627-3_1