Towards stochastic optimization-based electric vehicle penetration in a novel archipelago microgrid

Sensors (Switzerland)

Volumn 16, Issue 6, 2016, Pages

  Yang, Qingyu ^a   An, Dou ^a   Yu, Wei ^b   Tan, Zhengan ^a   Yang, Xinyu ^a  

^a XI'AN JIAOTONG UNIVERSITY   (China)

^b TOWSON UNIVERSITY   (United States)

Author keywords

Archipelagomicrogrid; Electric vehicles (EVs); Scheduling; Two stage stochastic programming

Indexed keywords

CARBON DIOXIDE; COST REDUCTION; COSTS; ELECTRIC AUTOMOBILES; ELECTRIC POWER TRANSMISSION; ELECTRIC POWER TRANSMISSION NETWORKS; ELECTRIC VEHICLES; ELECTROMAGNETIC WAVE EMISSION; EMBEDDED SYSTEMS; ENERGY RESOURCES; MONTE CARLO METHODS; OPERATING COSTS; OPTIMIZATION; RENEWABLE ENERGY RESOURCES; SCHEDULING; SENSOR NETWORKS; STOCHASTIC PROGRAMMING; STOCHASTIC SYSTEMS; VEHICLES;

ARCHIPELAGOMICROGRID; CYBER-PHYSICAL SYSTEMS (CPS); ELECTRIC VEHICLES (EVS); ENVIRONMENTAL POLLUTIONS; INTERNET OF THINGS (IOT); POWER TRANSMISSION SYSTEMS; STOCHASTIC OPTIMIZATIONS; TWO-STAGE STOCHASTIC PROGRAMMING;

STOCHASTIC MODELS;

EID: 84975137677     PISSN: 14248220     EISSN: None     Source Type: Journal    
DOI: 10.3390/s16060907     Document Type: Article

References (42)

1. Baheti, R.; Gill, H. Cyber-physical systems. Impact Control Technol. 2011, 12, 161–166.
2. Rani, S.; Talwar, R.; Malhotra, J.; Ahmed, S.H.; Sarkar, M.; Song, H. A novel scheme for an energy efficient Internet of Things based on wireless sensor networks. Sensors 2015, 15, 28603–28626.
3. Abdelaziz, M.M.; Shaaban, M.F.; Farag, H.E.; El-Saadany, E.F.A multistage centralized control scheme for islanded microgrids with PEVs. IEEE Trans. Sustain. Energy 2014, 5, 927–937.
4. Khodaei, A. Provisional microgrids. IEEE Trans. Smart Grid 2015, 6, 1107–1115.
5. Zhang, M.; Chen, J. The energy management and optimized operation of electric vehicles based on microgrid. IEEE Trans. Power Deliv. 2014, 29, 1427–1435.
6. Saber, A.Y.; Venayagamoorthy, G.K. Plug-in vehicles and renewable energy sources for cost and emission reductions. IEEE Trans. Ind. Electron. 2011, 58, 1229–1238.
7. Luis, H.; Baladrón, C.; Aguiar, J.M.; Calavia, L.; Carro, B.; Sánchez-Esguevillas, A.; Cook, D.J.; Chinarro, D.; Gómez, J. A study of the relationship between weather variables and electric power demand inside a smart grid/smart world framework. Sensors 2012, 12, 11571–11591.
8. Moon, H.H.; Lee, J.J.; Choi, S.Y.; Cha, J.S.; Kang, J.M.; Kim, J.T.; Shin, M.C. A study using a Monte Carlo method of the optimal configuration of a distribution network in terms of power loss sensing. Sensors 2011, 11, 7823–7834.
9. Yang, Q.; Tan, Z.; An, D.; Yu, W.; Yang, X. On optimal electric vehicles penetration in aNovelArchipelagoMicrogrids. In Proceedings of the IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD), Shanghai, China, 30May–1 June 2016.
10. Wei, C.; Md Fadlullah, Z.; Kato, N.; Stojmenovic, I. A novel distributed algorithm for power loss minimizing in Smart Grid. In Proceedings of the 2014 IEEE International Conference on Smart Grid Communications (SmartGridComm), Venice, Italy, 3–6 November 2014.
11. Valipour, M.; Banihabib, M.E.; Behbahani, S.M.R. Comparison of the ARMA, ARIMA, and the autoregressive artificial neural network models in forecasting the monthly inflow of Dez dam reservoir. J. Hydrol. 2013, 476, 433–441.
12. Yu, W.; An, D.; Griffith, D.; Yang, Q.; Xu, G. Towards statistical modeling and machine learning based energy usage forecasting in smart grid. ACM SIGAPP Appl. Comput. Rev. 2015, 15, 6–16.
13. Saad, W.; Han, Z.; Poor, H.V. Coalitional game theory for cooperative micro-grid distribution networks. In Proceedings of the 2011 IEEE International Conference on Communications Workshops (ICC), Kyoto, Japan, 5–9 June 2011.
14. Colson, C.M.; Nehrir, M.H. Comprehensive real-time microgrid power management and control with distributed agents. IEEE Trans. Smart Grid 2013, 4, 617–627.
15. Nguyen, D.T.; Le, L.B. Optimal bidding strategy for microgrids considering renewable energy and building thermal dynamics. IEEE Trans. Smart Grid 2014, 5, 1608–1620.
16. Roe, C.; Meliopoulos, A.; Meisel, J.; Overbye, T. Power system level impacts of plug-in hybrid electric vehicles using simulation data. In Proceedings of the IEEE Energy 2030 Conference, Atlanta, GA, USA, 17–18 November 2008.
17. Pourmousavi, S.A.; Nehrir, M.H.; Sharma, R.K. Multi-timescale power management for islanded microgrids including storage and demand response. IEEE Trans. Smart Grid 2015, 6, 1185–1195.
18. Tol, R.S. The marginal damage costs of carbon dioxide emissions: An assessment of the uncertainties. Energy Policy 2005, 33, 2064–2074.
19. Yang, Q.; An, D.; Cai, Y. A novel evolution Kalman Filter algorithm for short-term climate prediction. Asian J. Control 2014, 18, 400–405.
20. Robert, C.; Casella, G. Monte Carlo Statistical Methods; Springer Science & Business Media: New York, NY, USA, 2013.
21. Dvorkin, Y.; Wang, Y.; Pandzic, H.; Kirschen, D. Comparison of scenario reduction techniques for the stochastic unit commitment. In Proceedings of the 2014 IEEE PES General Meeting, Conference & Exposition, National Harbor, MD, USA, 27–31 July 2014.
22. Aghamohammadi, M.R.; Abdolahinia, H. A new approach for optimal sizing of battery energy storage system for primary frequency control of islanded microgrid. Int. J. Electr. Power Energy Syst. 2014, 54, 325–333.
23. Litchy, A.J.; Nehrir, M.H. Real-time energy management of an islanded microgrid using multi-objective Particle Swarm Optimization. In Proceedings of the 2014 IEEE PES General Meeting, Conference & Exposition, National Harbor, MD, USA, 27–31 July 2014.
24. Rua, D.; Lopes, J.P.; Ruela, J. Communications uncertainties in isolated multi-microgrid control systems. In Proceedings of the Power Systems Computation Conference (PSCC), Wroclaw, Poland, 18–22 August 2014.
25. Kahrobaeian, A.; Mohamed, I.; Abdel-Rady, Y. Networked-based hybrid distributed power sharing and control for islanded microgrid systems. IEEE Trans. Power Electron. 2015, 30, 603–617.
26. Ahn, S.J.; Nam, S.R.; Choi, J.H.; Moon, S.I. Power scheduling of distributed generators for economic and stable operation of a microgrid. IEEE Trans. Smart Grid 2013, 4, 398–405.
27. Alipour, M.; Mohammadi-Ivatloo, B.; Zare, K. Stochastic scheduling of renewable and CHP based microgrids. IEEE Trans. Ind. Inform. 2015, 11, 1049–1058.
28. Rua, D.; Pereira, L.M.; Gil, N.; Lopes, J. Impact of multi-Microgrid Communication systems in islanded operation. In Proceedings of the 2011 2nd IEEE PES International Conference and Exhibition on Innovative Smart Grid Technologies (ISGT Europe), Manchester, UK, 5–7 December 2011.
29. Zhao, B.; Zhang, X.; Li, P.; Wang, K.; Xue, M.; Wang, C. Optimal sizing, operating strategy and operational experience of a stand-alone microgrid on Dongfushan Island. Appl. Energy 2014, 113, 1656–1666.
30. Zhao, B.; Dong, X.; Bornemann, J. Service restoration for a renewable-powered microgrid in unscheduled island mode. IEEE Trans. Smart Grid 2015, 6, 1128–1136.
31. Yang, Q.; An, D.; Yu, W.; Yang, X.; Fu, X. On stochastic optimal bidding strategy for microgrids. In Proceedigns of the 2015 IEEE International Conference on Performance Computing and Communications Conference (IPCCC), Nanjing, China, 14–16 December 2015.
32. Kim, H.M.; Kinoshita, T.; Lim, Y.; Kim, T.H. A bankruptcy problem approach to load-shedding in multiagent-based microgrid operation. Sensors 2010, 10, 8888–8898.
33. Kim, J.Y.; Jeon, J.H.; Kim, S.K.; Cho, C.; Park, J.H.; Kim, H.M.; Nam, K.Y. Cooperative control strategy of energy storage system and microsources for stabilizing the microgrid during islanded operation. IEEE Trans. Power Electron. 2010, 25, 3037–3048.
34. Tushar, M.H.; Assi, C.; Maier, M.; Uddin, M.F. Smart microgrids: Optimal joint scheduling for electric vehicles and home appliances. IEEE Trans. Smart Grid 2014, 5, 239–250.
35. Tushar, M.H.; Assi, C.; Maier, M. Distributed real-time electricity allocation mechanism for large residential microgrid. IEEE Trans. Smart Grid 2015, 6, 1353–1363.
36. Gan, L.; Topcu, U.; Low, S.H. Optimal decentralized protocol for electric vehicle charging. IEEE Trans. Power Syst. 2013, 28, 940–951.
37. Wang, S.; Zhang, N.; Li, Z.; Shahidehpour, M. Modeling and impact analysis of large scale V2G electric vehicles on the power grid. In Proceedings of the 2012 IEEE Innovative Smart Grid Technologies-Asia (ISGT Asia), Tianjin, China, 21–24 May 2012.
38. Honarmand, M.; Zakariazadeh, A.; Jadid, S. Integrated scheduling of renewable generation and electric vehicles parking lot in a smart microgrid. Energy Convers. Manag. 2014, 86, 745–755.
39. Van Roy, J.; Leemput, N.; Geth, F.; Buscher, J.; Salenbien, R.; Driesen, J. Electric vehicle charging in an office building microgrid with distributed energy resources. IEEE Trans. Sustain. Energy 2014, 5, 1389–1396.
40. Zakariazadeh, A.; Jadid, S.; Siano, P. Multi-objective scheduling of electric vehicles in smart distribution system. Energy Convers. Manag. 2014, 79, 43–53.
41. Jian, L.; Xue, H.; Xu, G.; Zhu, X.; Zhao, D.; Shao, Z. Regulated charging of plug-in hybrid electric vehicles for minimizing load variance in household smart microgrid. IEEE Trans. Ind. Electron. 2013, 60, 3218–3226.
42. Mao, M.; Sun, S.; Su, J. Economic analysis of a microgrid with wind/photovoltaic/storages and electric vehicles. Autom. Electr. Power Syst. 2011, 35, 30–35.