Smart Grid Users Benefits Based on DSM Algorithm Mathematical Optimization Problems Studied
Volume 5, Issue 4, Page No 99–104, 2020
Adv. Sci. Technol. Eng. Syst. J. 5(4), 99–104 (2020);
DOI: 10.25046/aj050413
Keywords: Distributed Energy Storage, Convex Programming, Electric Vehicle, Demand Response, Distributed Energy Generation, Emend Side Management, DMES, Daily Maximum Energy Scheduling, Distributed Sources Management
The purpose of this research paper is to demonstrate that optimization of energy consumption, distributed generation and storage contribute towards mutually beneficial and satisfactory Demand Side Management algorithms that can be installed into consumer smart meters or in Home Energy Storage. A new solution based on an Energy Scheduling and Distributed Storage (ESDS) and Microgrid Energy Management Distributed Optimization Algorithm Demand Side Management (MEM-DOA DSM) algorithms Microgrid Energy Management Distributed Optimization Algorithm Demand Side Management that offers benefits to consumers, utility providers, policy makers and the environment Smart grid, Demand Side Management and mathematical optimization techniques which were studied. A successful development operation of a Demand Side Management Algorithms is made by using appropriate mathematical programming methods depending on the nature of their objective functions, tests results are accomplished.
- W. Kempton and A. Dhanju, “Electric vehicles with V2G: storage for large-scale wind power”, Windtech International, 2006.
- M. D. Galus, and G. Andersson, “Balancing Renewable Energy Sources using Vehicle to Grid Services controlled by MPC in a Metropolitan Area Distribution Network”, in Proc.CIGRE ELECTRA, 2012.
- P. Mesaric and S. Krajar, “Home demand side management integrated with electric vehiclesand renewable energy sources,” Energy and Buildings, 108, 1-9, 2015. Doi:10.1016/j.enbuild.2015.09.001
- M. D. Galus, M. G. Vayá, T. Krause, and G. Andersson, “The role of electric vehicles in the smart grid,” Wiley Interscience Interdisciplinary Reviews of WIREs, Energy andEnvironment (WENE), 2, 4, 384-400, 2013. doi:10.1002/wene.56
- W. Kempton and J. Tomic, “Vehicle-to-grid power fundamentals: calculating capacity and net revenue,” Journal of Power Sources, 144, 1, 268–279, 2005. doi.org/10.1016/j.jpowsour.2004.12.025
- J. Suk-yee, Domestic electric vehicle market showing rapid growth, Business Korea/10126-governmental-support-domestic-electric-vehicle-market-showing-rapid-growth, 2016.
- W. H. Fleming and R. W. Rishel, Deterministic and Stochastic Optimal Control, Springer,1975.
- A. K. Dixit, Optimisation in economic theory, Oxford, UK: Oxford University Press, 1990.
- K. Schmedders, Numerical optimisation methods in economics, The New Palgrave Dictionary of Economics, 2008.
- S. S. Rao, Engineering Optimisation Theory and Practice, John Wiley and Sons Inc, Hoboken, New Jersey, 4th Edition, 2009.
- V. F. Dem’yanov, V. N. Malozemov and D. Louvish, Introduction to Minimax, Keter House Jerusalem Ltd., 2014.
- M. Grant and S. Boyd, CVX: Matlab software for disciplined convex programming, CVX Research Inc., 2015.
- S. Boyd and L. Vandenberghe, Convex Optimisation, Cambridge University Press, New York, United States of America, 7th Edition,2009.
- G. B. Dantzig and M. N. Thapa, Linear programming 1: Introduction, Springer, 1997
- Y. Nesterov and A. Nemirovski, Interior-point polynomial algorithms convex programming, Studies in Applied Mathematics, SIAM, Philadelphia, 1994.
- R. E. Gomory, “An Algorithm for the Mixed Integer Problem,” Rand Report R.M. 25797, July 1960.
- J. Nocedal, S. Wright and J. Stephen, Numerical Optimisation, 2nd Edition, Springer- Verlag, Berlin, New York, 2006.
- A. H. Land and A. Doig, An Automatic Method of Solving Discrete Programming problems, Econometrica, 1960.
- A. Shapiro, D. Dentcheva and A. Ruszczynski, Lecture notes on stochastic programming – modeling and theory, Siam, 2009.
- B. Daryanian, R. Bohn, and R. Tabors, “Optimal demand-side response to electricity spot prices for storage-type customers,” IEEE Transactions on Power Systems, 4, 3, 897-903, 1989. Doi: 10.1109/59.32577
- D.S. Chen, R. G. Batson and Y. Dang, “Applied Integer Programming: Modeling and Solution,” John Wiley and Sons, 2010.
S.P.Bradley, A.C.Hax and T.L.Magnanti, “Applied Mathematical Programming,” Addison-Wesley, 1977. - Z. Mao and X. Wang, “Efficient optimal and suboptimal radio resource allocation in ofdma system,” IEEE Transactions on Wireless Communications, 7, 2, 440-445, 2008. DoI: 10.1109/TWC.060546
- R. E. Moore, Global optimisation to prescribed accuracy, Computers and Mathematics with Applications, Eldon Hensen, G.Willamwalster, 1991.
- D. Chen, X. Ziqi, L. Ximeng, Y. Yin, Y. Yang, G. Wenzhong, “Dual al-Search Artificial Bee Colony Algorithm for Engineering Optimization”, IEEE Access, 7, 24571 –24584, 2019, Electronic ISSN: 2169-3536, INSPEC Accession Number: 18501113, Doi: 10.1109/ ACCESS.2019.2899743
- G. Cyrielle, B. Renaud, P. Marc, “Automatic Detection of Elevation Changes by Differential DSM Analysis: Application to Urban Areas”,IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 7, 10, 2014, : 4020 – 4037, Doi: 10.1109/JSTARS.2014.2300509
- C. Hamrouni, A. Bsissa, R. Hamza, N. Abdelkarim, “A new MEM-DOA proposal for DSM in a grid connected smart microgrid”, Progress In Electromagnetics Research Symposium-Spring (PIERS), 22-25 May 2017. Doi: 10.1109/PIERS.2017.8262039
- W. Han ; X. Sean Lu ; M. Zhou ; X. Shen ; J. Wang ; J. Xu,” Evaluation and Optimization Methodology for Efficient Power Plant Programs”,IEEE Transactions on Systems, Man, and Cybernetics: Systems, IEEE Transactions on Systems, Man, and Cybernetics Systems, 50 , 2 , 707 – 716, 2020. Doi: 10.1109/TSMC.2017.2714198
- W. Lanneer, P. Tsiaflakis, J. Maes, M. Moonen,”α -Fair Dynamic Spectrum Management for QRD-Based Precoding With User Encoding Ordering in Downstream G.Fast Transmission”, IEEE Transactions on Communications, 67, 4, 2939 – 2950, 2019. Doi: 10.1109/TCOMM.2018.2890237.
- D. Li. C. Wei, S. Hongjian, H.P. Vincent,”Multi-objective Optimization for Demand Side Management Program in Smart Grid”, IEEE Transactions on Industrial Informatics, 14,4, 1482 – 1490, 2018. Doi: 10.1109/TII.2017.2776104.
- Rafi Zahedi, Amirhossein Ahmadian, Chen Zhang, Shashank Narayana Gowda, Kourosh SedghiSigarchi, Rajit Gadh, "Optimal Engagement of Residential Battery Storage to Alleviate Grid Upgrades Caused by EVs and Solar Systems", Advances in Science, Technology and Engineering Systems Journal, vol. 9, no. 2, pp. 01–08, 2022. doi: 10.25046/aj090201
- David Roszczypala, Christophe Batard, Nicolas Ginot, Frédéric Poitiers, "Realization and Energy Optimization of a Recharging Station for Electric Vehicles with Fixed Storage and Photovoltaic Panels", Advances in Science, Technology and Engineering Systems Journal, vol. 6, no. 3, pp. 155–163, 2021. doi: 10.25046/aj060318
- Taha Sadeq, Chew Kuew Wai, Ezra Morris, "Current Control of Battery-Supercapacitors System for Electric Vehicles based on Rule-Base Linear Quadratic Regulator", Advances in Science, Technology and Engineering Systems Journal, vol. 6, no. 1, pp. 57–65, 2021. doi: 10.25046/aj060107
- Shimin Vayal Veetil, Varsha Shah, Makarand Lokhande, "Improvised E-Rickshaws for Indian Roads by Effective Battery-Ultracapacitor Hybridization", Advances in Science, Technology and Engineering Systems Journal, vol. 5, no. 5, pp. 1162–1171, 2020. doi: 10.25046/aj0505141
- Wonseok Yeo, Sungchul Jung, Seungtaik Kim, Keonho Park, Jongsun Ko, "A Regenerative Energy Recovery System for Electric Vehicles Charging A Battery at A Low Speed", Advances in Science, Technology and Engineering Systems Journal, vol. 5, no. 2, pp. 64–73, 2020. doi: 10.25046/aj050208
- Rodrigo Reina Muñoz, Rafael Valim Xavier de Souza, Alex Soto da Silva, "LabVIEW Development for an Intelligent Management System of the Electrical Energy Free Market", Advances in Science, Technology and Engineering Systems Journal, vol. 4, no. 2, pp. 83–90, 2019. doi: 10.25046/aj040211
- Zhijian Liu, Ni Xiao, Hui Xu, "Contract Price Model Under Active Demand Response", Advances in Science, Technology and Engineering Systems Journal, vol. 3, no. 6, pp. 324–328, 2018. doi: 10.25046/aj030640
- Omid Abrishambaf, Pedro Faria, João Spínola, Zita Vale, "An Aggregation Model for Energy Resources Management and Market Negotiations", Advances in Science, Technology and Engineering Systems Journal, vol. 3, no. 2, pp. 231–237, 2018. doi: 10.25046/aj030227