Real-time electricity pricing mechanism in China based on system dynamics

Energy Conversion and Management

Volumn 94, Issue , 2015, Pages 394-405

  He, Yongxiu ^a   Zhang, Jixiang ^a  

^a NORTH CHINA ELECTRIC POWER UNIVERSITY   (China)

Author keywords

China; Real time pricing; System dynamics; The total social surplus; User response

Indexed keywords

COSTS; DYNAMICS; ECONOMICS; SYSTEM THEORY;

CHINA; REAL TIME PRICING; SYSTEM DYNAMICS; THE TOTAL SOCIAL SURPLUS; USER RESPONSE;

SMART POWER GRIDS;

EID: 84923225925     PISSN: 01968904     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.enconman.2015.02.007     Document Type: Article

References (23)

1. M. Avci, M. Erkoc, A. Rahmani, and S. Asfour Model predictive HVAC load control in buildings using real-time electricity pricing Energy Build 60 5 2013 199 209
2. J.L. Ma On-grid electricity tariffs in China: development, reform and prospects Energy Policy 39 5 2011 2633 2645
3. M. Tanaka Real-time pricing with ramping costs: a new approach to managing a steep change in electricity demand Energy Policy 34 18 2006 3634 3643
4. S. Schuman, and A. Lin China's renewable energy law and its impact on renewable power in China: progress, challenges and recommendations for improving implementation Energy Policy 51 12 2012 89 109
5. C.W. Hsu Using a system dynamics model to assess the effects of capital subsidies and feed-in tariffs on solar PV installations Appl Energy 100 12 2012 205 217
6. L.G. Shao, S.J. Zhang, and J.B. Huang Pricing simulation platform based on system dynamics Eng Procedia 5 2012 445 453
7. S.X. Carvajal, S. Arango, and E.R. Larsen Evaluation of a payments proposal for blackstart services in the Colombian electricity system: a system dynamics approach Electr Power Energy Syst 53 12 2013 382 389
8. R. Rasjidin, A. Kumar, F. Alam, and S. Abosuliman A system dynamics conceptual model on retail electricity supply and demand system to minimize retailer's cost in eastern Australia Procedia Eng 49 2012 330 337
9. S. Brinton, and M. Kazimi A nuclear fuel cycle system dynamic model for spent fuel storage options Energy Convers Manage 74 10 2013 558 561
10. H. Qudrat-Ullah Understanding the dynamics of electricity generation capacity in Canada: a system dynamics approach Energy 59 9 2013 285 294
11. S. Anbazhagan, and N. Kumarappan Day-ahead deregulated electricity market price forecasting using neural network input featured by DCT Energy Convers Manage 78 2 2014 711 719
12. E. Salies Real-time pricing when some consumers resist in saving electricity Energy Policy 59 8 2013 843 849
13. M. Doostizadeh, and H. Ghasemi A day-ahead electricity pricing model based on smart metering and demand-side management Energy 46 1 2012 221 230
14. N. Amjady, and V. Vahidinasab Security-constrained self-scheduling of generation companies in day-ahead electricity markets considering financial risk Energy Convers Manage 65 1 2013 164 172
15. H. Shayeghi, and A. Ghasemi Day-ahead electricity prices forecasting by a modified CGSA technique and hybrid WT in LSSVM based scheme Energy Convers Manage 63 11 2012 695 701
16. P. Mandal, T. Senjyu, and T. Funabashi Neural networks approach to forecast several hour ahead electricity prices and loads in deregulated market Energy Convers Manage 47 15-16 2006 2128 2142
17. M. Marzband, A. Sumper, J.L. Domínguez-García, and R. Gumara-Ferret Experimental validation of a real time energy management system for micro-grids in islanded mode using a local day-ahead electricity market and MINLP Energy Convers Manage 76 12 2013 314 322
18. P. Faria, and Z. Vale Demand response in electrical energy supply: an optimal real time pricing approach Energy 36 8 2011 5374 5384
19. C.H. Jin, G. Pok, Y. Lee, H.W. Park, and K.D. Kim A SOM clustering pattern sequence-based next symbol prediction method for day-ahead direct electricity load and price forecasting Energy Convers Manage 90 1 2015 84 92
20. N. Amjady, and F. Keynia Day-ahead price forecasting of electricity markets by a new feature selection algorithm and cascaded neural network technique Energy Convers Manage 50 12 2009 2976 2982
21. M. Shafie-khah, M.P. Moghaddam, and M.K. Sheikh-El-Eslami Price forecasting of day-ahead electricity markets using a hybrid forecast method Energy Convers Manage 55 5 2011 2165 2169
22. J. Yang, G.S. Zhang, and K. Ma Matching supply with demand: a power control and real time pricing approach Int J Electr Power Energy Syst 61 10 2014 111 117
23. K.L. Lo, J.R. McDonald, and T.Q. Le Time-of-day electricity pricing incorporating elasticity for load management purposes Int J Electr Power Energy Syst 13 4 1991 230 239