[Home ] [Archive]   [ فارسی ]  
:: Main :: About :: Current Issue :: Archive :: Search :: Submit :: Contact ::
Main Menu
Home::
Journal Information::
Articles archive::
For Authors::
For Reviewers::
Registration::
Contact us::
Site Facilities::
::
Social Network Membership
Linkedin
Researchgate
..
Indexing Databases
..
DOI
کلیک کنید
..
ِDOR
..
Search in website

Advanced Search
..
Receive site information
Enter your Email in the following box to receive the site news and information.
..
:: Volume 9, Issue 3 (9-2020) ::
ieijqp 2020, 9(3): 56-67 Back to browse issues page
A two-step approach to energy management in smart micro-grids aimed at improving social welfare levels and the demand side management effect
Mohammad Abedini * 1
Abstract:   (2912 Views)
Demand-side management is one of the ways to create interaction between the microgrid and increase consumer participation in management schemes. Different algorithms and strategies have been used to execute consumption management programs that often covering a limited number of loads in several specific types. In this paper, first, the load shift method as an optimization problem to reduce system demand peak and subscriber bills for various loads in smart microgrid is solved by (H-PSO-SCAC) algorithm, then the effect of the proposed program on the generation and presence of microgrid in market for improving the level of social welfare is aimed. The results are performed on a smart grid consisting of three Residential, commercial and industrial microgrids that including different types of controllable loads. The results show that the proposed program can reduce peak load, reduce subscriber bills, save production costs, help balance supply and demand, and improve the level of social welfare from the perspective of the distribution system operator.
Keywords: controllable loads, smart grid, load Shift, H-PSO-SCAC algorithm, demand side management
Full-Text [PDF 2223 kb]   (630 Downloads)    
Type of Study: Research |
Received: 2020/01/29 | Accepted: 2020/06/24 | Published: 2020/08/31
References
1. [1] Q. Li and M. Zhou, "The future-oriented grid-smart grid", Journal of Computers, Vol. 6, No. 1, January 2011. [DOI:10.4304/jcp.6.1.98-105]
2. [2] P. Agrawal, "Overview of DOE microgrid activities", Symposium on Microgrid, Montreal,Vol. 23, January 2006.
3. [3] P. Palensky and D. Dietrich, "Demand Side Management: Demand Response, Intelligent Energy Systems, and Smart Loads", IEEE Transactions on Industrial Informatics, Vol. 7, No. 3, August 2011. [DOI:10.1109/TII.2011.2158841]
4. [4] K.H. Ng and G. B. Sheblé, "Direct Load Control-A Profit-Based Load Management Using Linear Programming," IEEE Transaction on Power System, vol. 13 May 1998. [DOI:10.1109/59.667401]
5. [5] F. C. Schweppe and B. Daryanian, "Algorithms for a spot price responding residential load controller", IEEE Transaction on Power System, Vol. 4, No. 2, May 1989. [DOI:10.1109/59.193823]
6. [6] M. Shahidehpour, H. Yamin, and Z. Li, "Market Operations in Electric Power Systems: Forecasting, Scheduling, and Risk Management", Wiley-IEEE Press, New York 2002. [DOI:10.1002/047122412X]
7. [7] Z.N.Popovic and D.S.Popovic, "Direct load control as a market-based program in deregulated power industries",In Proc IEEE Power Tech Conf, Bologna, Vol. 3, June 2003.
8. [8] فردینی امیر، احمدیان علی، علی اکبر گلکار مسعود. ، " مدیریت بهینه انرژی یک شبکه توزیع متصل شده به ریزشبکه های مختلف بر مبنای نظریه بازی ها"، نشریه کیفیت و بهره وری صنعت برق ایران، سال 7، شماره 2، 1397.
9. [9] تقی زادگان کلانتری نوید، حمزه اقدم فرید، "مدیریت انرژی در ریزشبکه‌های چندگانه با درنظرگرفتن قیود پخش بار و پاسخ‌گویی بار"، نشریه کیفیت و بهره وری صنعت برق ایران، سال 6، شماره 2، 1396.
10. [10] T.Logenthiran, D.Srinivasan, TZ.Shun, "Multi-agent system for demand side management in smart grid", In IEEE Ninth International Conference on Power Electronics and Drive Systems, 2011. [DOI:10.1109/PEDS.2011.6147283]
11. [11] B.Saravanan, "DSM in an area consisting of residential, commercial and industrial load in smart grid", Frontiers in Energy, Vol. 9, No. 2, June 2015. [DOI:10.1007/s11708-015-0351-0]
12. [12] T.Logenthiran, D.Srinivasan, TZ.Shun, "Demand side management in smart grid using heuristic optimization", IEEE transactions on smart grid, Vol. 2, No. 3, June 2012. [DOI:10.1109/TSG.2012.2195686]
13. [13] V.Mukherjee, "Day-ahead demand side management using symbiotic organisms search algorithm", IET Generation, Transmission & Distribution, Vol. 12, No. 14, May 2018. [DOI:10.1049/iet-gtd.2018.0106]
14. [14] Z.Bao, Q.Zhou, Z.Yang, Q.Yang, L.Xu, T.Wu, "A multi time-scale and multi energy-type coordinated microgrid scheduling solution-Part I: Model and methodology", IEEE Transactions on Power Systems, Vol. 30, No. 5, November 2014. [DOI:10.1109/TPWRS.2014.2367127]
15. [15] M.Yu, W.Huang, N.Tai, X.Zheng, Z.Ma, Y.Wang, "Advanced microgrid and its multi-objective regulation strategy for shore supply", The Journal of Engineering, Vol. 2017, No. 13, 2017. [DOI:10.1049/joe.2017.0600]
16. [16] J.Chen, W.Zhang, J.Li, W.Zhang, Y.Liu, B.Zhao, Y.Zhang, "Optimal sizing for grid-tied microgrids with consideration of joint optimization of planning and operation", IEEE Transactions on Sustainable Energy, Vol. 9, No. 1, July 2017. [DOI:10.1109/TSTE.2017.2724583]
17. [17] P.Li, D.Xu, Z.Zhou, WJ.Lee, B.Zhao, "Stochastic optimal operation of microgrid based on chaotic binary particle swarm optimization", IEEE Transactions on Smart Grid, Vol. 7, No. 1, May 2015. [DOI:10.1109/TSG.2015.2431072]
18. [18] P.Kofinas, AI.Dounis, GA.Vouros, "Fuzzy Q-Learning for multi-agent decentralized energy management in microgrids", Applied energy, Vol. 219, No. 1, January 2018. [DOI:10.1016/j.apenergy.2018.03.017]
19. [19] K.Wang, H.Li, S.Maharjan, Y.Zhang, S.Guo, "Green energy scheduling for demand side management in the smart grid", IEEE Transactions on Green Communications and Networking, Vol. 2, No. 2, January 2018. [DOI:10.1109/TGCN.2018.2797533]
20. [20] D.Li, WY.Chiu, H.Sun, HV.Poor, "Multiobjective optimization for demand side management program in smart grid", IEEE Transactions on Industrial Informatics, Vol. 14, No. 4, December 2017. [DOI:10.1109/TII.2017.2776104]
21. [21] M.Shahidehpour, H.Yamin, Z.Li, "Market operations in electric power systems: forecasting, scheduling, and risk management", John Wiley & Sons, May 2003. [DOI:10.1002/047122412X]
22. [22] K.Chen, F.Zhou, L.Yin, S.Wang, Y.Wang and F.Wan, "A hybrid particle swarm optimizer with sine cosine acceleration coefficients", Information Sciences, Vol.422, January 2018. [DOI:10.1016/j.ins.2017.09.015]
23. [23] T.Logenthiran, D.Srinivasan, AM.Khambadkone, "Multi-agent system for energy resource scheduling of integrated microgrids in a distributed system", Electric Power Systems Research, Vol. 81, No. 1, January 2011. [DOI:10.1016/j.epsr.2010.07.019]
24. [24] R.Caldon, AR.Patria, R.Turri, "Optimisation algorithm for a virtual power plant operation", In39th International Universities Power Engineering Conference, August 2005.
25. [25] IS.Bae, JO.Kim, "Phasor discrete particle swarm optimization algorithm to configure micro-grids", Journal of Electrical Engineering and Technology, Vol. 7, No. 1, April 2012. [DOI:10.5370/JEET.2012.7.1.9]
26. [26] H.Alsalloum, L. Merghem-Boulahia & R.Rahim, "Hierarchical system model for the energy management in the smart grid: A game theoretic approach", Sustainable Energy, Grids and Networks, Vol. 21, March 2020. [DOI:10.1016/j.segan.2020.100329]
27. [27] M.Rahmani, S.H.Hosseinian & M.Abedi, "Stochastic two-stage reliability-based Security Constrained Unit Commitment in smart grid environment", Sustainable Energy, Grids and Networks, Vol. 22, June 2020. [DOI:10.1016/j.segan.2020.100348]
28. [28] نوجوان صیاد. "مدیریت مصرف انرژی الکتریکی و حرارتی در مجتمع‌های مسکونی"، نشریه کیفیت و بهره وری صنعت برق ایران، سال 8، شماره 3، 1398.
29. [29] لطفی حسین، قاضی رضا، نقیبی سیستانی محمد باقر." استراتژی بهینه مدیریت انرژی در شبکه‌های توزیع هوشمند با درنظرگرفتن اثر منابع تولید پراکنده و واحد‌های ذخیره انرژی"، نشریه کیفیت و بهره وری صنعت برق ایران، سال 8، شماره 3، 1398.



XML   Persian Abstract   Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Abedini M. A two-step approach to energy management in smart micro-grids aimed at improving social welfare levels and the demand side management effect. ieijqp 2020; 9 (3) :56-67
URL: http://ieijqp.ir/article-1-715-en.html


Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Volume 9, Issue 3 (9-2020) Back to browse issues page
نشریه علمی- پژوهشی کیفیت و بهره وری صنعت برق ایران Iranian Electric Industry Journal of Quality and Productivity
Persian site map - English site map - Created in 0.06 seconds with 40 queries by YEKTAWEB 4645