Keywords: DSM, energy efficiency, smart grid, power supply optimization, consumption schedule


To ensure the functioning of the energy system, coordination and increase the efficiency of its parts need new control mechanisms. Generation, transmission and consumption of electricity needed control mechanisms that include integration of self-organizing power and heat supply systems, built on multi-agent principle. Also they must correspond intellectual basis, monitoring and accumulation. This includes effectiveness assessment of the state and analysis of technical, technological and organizational management mechanisms. One of the main parts is interaction principles of energy systems in accordance with European Community policy at various levels at liberalized electricity market.

In most developed countries, demand management programs are widely used as a means of harmonizing the modes of generation and consumption in the power supply system. The main direct methods are set in the form of electricity tariffs. Indirect methods are set in the form of programs to manage electricity demand and the possibility of their application to manage electricity demand. Methods for estimating the unevenness of the daily schedule of electricity consumption and the factors influencing the technological environment are presented.

The work aims at scientific and applied problem – finding methods of estimation and features of managing the demand for electricity.

The use of the proposed estimation methods of electricity consumption influence non-uniformity on the level of power supplies system losses based on Frize QF power and optimization of consumers’ operation modes in the power supply system is considered.

Approaches and optimization mechanisms of the daily electricity consumption on the example of a residential complex with the possibility of energy accumulation are offered


Download data is not yet available.

Author Biographies

Serhii Denysiuk, National Technical University of Ukraine «Igor Sikorsky Kyiv Polytechnic Institute»

Department of Power Supply

Stefan Zaichenko , National Technical University of Ukraine «Igor Sikorsky Kyiv Polytechnic Institute»

Department of Electromechanical Equipment Energy-Intensive Industries

Vitalii Opryshko, National Technical University of Ukraine «Igor Sikorsky Kyiv Polytechnic Institute»

Department of Power Supply

Denys Derevianko, National Technical University of Ukraine «Igor Sikorsky Kyiv Polytechnic Institute»

Department of Power Supply


Saad, W., Han, Z., Poor, H., Basar, T. (2012). Game-Theoretic Methods for the Smart Grid: An Overview of Microgrid Systems, Demand-Side Management, and Smart Grid Communications. IEEE Signal Processing Magazine, 29 (5), 86–105. doi:
Yousefi‐khangah, B., Ghassemzadeh, S., Hosseini, S. H., Mohammadi‐Ivatloo, B. (2017). Short‐term scheduling problem in smart grid considering reliability improvement in bad weather conditions. IET Generation, Transmission & Distribution, 11 (10), 2521–2533. doi:
Chiu, T.-C., Shih, Y.-Y., Pang, A.-C., Pai, C.-W. (2017). Optimized Day-Ahead Pricing With Renewable Energy Demand-Side Management for Smart Grids. IEEE Internet of Things Journal, 4 (2), 374–383. doi:
Cao, Z., Lin, J., Wan, C., Song, Y., Zhang, Y., Wang, X. (2017). Optimal cloud computing resource allocation for demand side management in smart grid. IEEE Transactions on Smart Grid, 8 (4), 1943–1955. doi:
Liu, Y., Yuen, C., Huang, S., Hassan, N., Wang, X., Xie, S. (2014). Peak-to-average ratio constrained demand-side management with consumer's preference in residential smart grid. IEEE Journal of Selected Topics in Signal Processing, 8 (6), 1084–1097. doi:
Liu, Y., Hassan, N. U., Huang, S., Yuen, C. (2013). Electricity cost minimization for a residential smart Grid with distributed generation and bidirectional power transactions. 2013 IEEE PES Innovative Smart Grid Technologies Conference (ISGT). doi:
Srikanth Reddy, K., Panwar, L., Panigrahi, B. K., Kumar, R., Yu, H. (2017). Demand side management with consumer clusters in cyber‐physical smart distribution system considering price‐based and reward‐based scheduling programs. IET Cyber-Physical Systems: Theory & Applications, 2 (2), 75–83. doi:
Chen, H., Li, Y., Louie, R. H. Y., Vucetic, B. (2014). Autonomous Demand Side Management Based on Energy Consumption Scheduling and Instantaneous Load Billing: An Aggregative Game Approach. IEEE Transactions on Smart Grid, 5 (4), 1744–1754. doi:
Costanzo, G. T., Zhu, G., Anjos, M. F., Savard, G. (2012). A System Architecture for Autonomous Demand Side Load Management in Smart Buildings. IEEE Transactions on Smart Grid, 3 (4), 2157–2165. doi:
Luo, T., Dolan, M. J., Davidson, E. M., Ault, G. W. (2015). Assessment of a New Constraint Satisfaction-Based Hybrid Distributed Control Technique for Power Flow Management in Distribution Networks with Generation and Demand Response. IEEE Transactions on Smart Grid, 6 (1), 271–278. doi:
Martirano, L., Habib, E., Parise, G., Greco, G., Manganelli, M., Massarella, F., Parise, L. (2017). Demand Side Management in Microgrids for Load Control in Nearly Zero Energy Buildings. IEEE Transactions on Industry Applications, 53 (3), 1769–1779. doi:
Nguyen, H. K., Song, J. B., Han, Z. (2015). Distributed Demand Side Management with Energy Storage in Smart Grid. IEEE Transactions on Parallel and Distributed Systems, 26 (12), 3346–3357. doi:
Fadlullah, Z. M., Quan, D. M., Kato, N., Stojmenovic, I. (2014). GTES: An Optimized Game-Theoretic Demand-Side Management Scheme for Smart Grid. IEEE Systems Journal, 8 (2), 588–597. doi:
Galvis, J. C., Costa, A. (2016). Demand Side Management Using Time of Use and Elasticity Price. IEEE Latin America Transactions, 14 (10), 4267–4274. doi:
Qian, L. P., Zhang, Y. J. A., Huang, J., Wu, Y. (2013). Demand Response Management via Real-Time Electricity Price Control in Smart Grids. IEEE Journal on Selected Areas in Communications, 31 (7), 1268–1280. doi:
Atzeni, I., Ordonez, L. G., Scutari, G., Palomar, D. P., Fonollosa, J. R. (2013). Demand-Side Management via Distributed Energy Generation and Storage Optimization. IEEE Transactions on Smart Grid, 4 (2), 866–876. doi:
Chai, B., Chen, J., Yang, Z., Zhang, Y. (2014). Demand Response Management With Multiple Utility Companies: A Two-Level Game Approach. IEEE Transactions on Smart Grid, 5 (2), 722–731. doi:
Gellings, C. W., Smith, W. M. (1989). Integrating demand-side management into utility planning. Proceedings of the IEEE, 77 (6), 908–918. doi:
Palensky, P., Dietrich, D. (2011). Demand Side Management: Demand Response, Intelligent Energy Systems, and Smart Loads. IEEE Transactions on Industrial Informatics, 7 (3), 381–388. doi:
Eto, J. (1996). The Past, Present, and Future of U.S. Utility Demand-Side Management Programs. Ernest Orlando Lawrence Berkeley National Laboratory, University of California. Available at:
Kyrylenko, O. V., Strzelecki, R., Denysiuk, S. P., Derevianko, D. G. (2013). Main Features of the Stability and Reliability Enhancement of Electricity Grid with DG in Ukraine Based on IEEE Standards. Technical Electrodynamics, 6, 46–50. Available at:
Pang, C., Kezunovic, M., Ehsani, M. (2012). Demand side management by using electric vehicles as Distributed Energy Resources. 2012 IEEE International Electric Vehicle Conference. doi:
Hernando-Gil, I., Ilie, I.-S., Djokic, S. Z. (2012). Reliability performance of smart grids with demand-side management and distributed generation/storage technologies. 2012 3rd IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe). doi:
Huang, D., Billinton, R., Wangdee, W. (2010). Effects of demand side management on bulk system adequacy evaluation. 2010 IEEE 11th International Conference on Probabilistic Methods Applied to Power Systems. doi:
Huang, D., Billinton, R. (2012). Effects of Load Sector Demand Side Management Applications in Generating Capacity Adequacy Assessment. IEEE Transactions on Power Systems, 27 (1), 335–343. doi:
Zgurovets', O. V., Kostenko, G. P. (2007). Effektivnye metody upravleniya potrebleniem elektricheskoy energii. Problemy zahalnoi enerhetyky, 16, 75–80.
Benefits of demand response in electricity markets and recommendations for achieving them (2006). U.S. Department of Energy. Available at:
Opryshko, V. (2018). World practice of demand side management programs implementation mechanisms. Enerhetyka: ekonomika, tekhnolohiyi, ekolohiya, 3, 44–51. doi:
Nakhodov, V. F., Zamulko, A. I., Al Sharari, M. I., Medintseva, D. O. (2016). Impact Assessment of Demand Change of Consumers for Electric Power for Unevenness of Daily Graphs of the Energy System Load. Research Bulletin of the National Technical University of Ukraine “Kyiv Politechnic Institute”, 1, 31–39. doi:
Denysiuk, S., Opryshko, V. (2017). Evaluation of electric power in local electric power engineering systems consumption and generation unevenness. Praci Institutu elektrodinamiki Nacionalnoi akademii nauk Ukraini, 48, 43–51. doi:
Attia, H. A. (2010). Mathematical Formulation of the Demand Side Management (DSM) Problem and its Optimal Solution. Proceedings of the 14th International Middle East Power Systems Conference (MEPCON’10). Cairo University, 953–959. Available at:
Denysiuk, S., Opryshko, V. (2019). Analysis of the daily electricity consumption schedule optimization opportunities. Bulletin of the Kyiv National University of Technologies and Design. Technical Science Series, 6 (128), 20–28. doi:
Veremiichuk, Y., Prytyskach, I., Yarmoliuk, O., Opryshko, V. (2017). Energy Hub Function Optimization Models During Ukrainian Energy Resources Market Liberalization. Power and Electrical Engineering, 34, 49–52. doi:
Oberst, C. A., Schmitz, H., Madlener, R. (2019). Are Prosumer Households That Much Different? Evidence From Stated Residential Energy Consumption in Germany. Ecological Economics, 158, 101–115. doi:
Tonkal', V. E., Novosel'tsev, A. V., Denisyuk, S. P., Zhuykov, V. Ya., Strelkov, V. T., Yatsenko, Yu. A. (1992). Balans energiy v elektricheskih tsepyah. Kyiv: Nauk. dumka, 312.
Kremer, N. Sh., Putko, B. A., Trishin, I. M., Fridman, M. N. (2016). Issledovanie operatsiy v ekonomike. Moscow: Izdatel'stvo Yurayt, 438.

👁 48
⬇ 55
How to Cite
Denysiuk, S., Zaichenko , S., Opryshko, V., & Derevianko, D. (2021). ASSESSMENT OF CONSUMERS POWER CONSUMPTION OPTIMIZATION BASED ON DEMAND SIDE MANAGEMENT. EUREKA: Physics and Engineering, (2), 19-31.