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BY 4.0 license Open Access Published by De Gruyter Open Access August 21, 2019

Non-cooperative game theory based stepwise power tariff model using Monte-Carle simulation for agricultural consumers

  • Akash Talwariya EMAIL logo , Pushpendra Singh and Mohan Kolhe
From the journal Open Agriculture

Abstract

In the present study the concept of non-cooperative game theory is proposed in the retail electricity market for introducing stepwise power tariff model (SPT) for agricultural consumers. The objective of the paper is to increase the energy generation through green energy generation sources (GEGS), introduction of plug-in hybrid electric vehicles, education of families, standard wiring and appliance efficiency in tariffs for agricultural consumers with non-cooperative game theory. Agricultural consumers are able to generate a huge amount of electricity through GEGS and are able to control the consumption in their own way, and the non-cooperative game theory is introduced. Energy consumption pattern varies with respect to time during off-peak load period to peak load period; during the peak load period the demand is high as compared to off peak load hour duration energy consumption for the consumers and policy makers interrupting the energy supply during peak hours for agricultural consumers. To maintain the balance between generation and consumption, energy saving is essentially required and needs to maintain the consumption patterns and increase the penetration level of distributed generation at the agricultural consumer end due to availability of land. This paper proposes an algorithm for a demand response methodology using SPT with non-cooperative game theory model based on monthly energy consumption to maintain the balance. The uncertainty about energy generation through GEGS taken in consideration using Monte-Carlo simulation (MCS). Simulation results obtained by the proposed methodology are compared with the conventional methodology of energy tariff used in India and provide better results for active consumers and generate a considerable amount of electricity through GEGS.

References

[1] Diamantoulakis D., Pappi K.N., Kong P.Y., Karagiannidis G.K., Game Theoretic Approach to Demand Side Management in Smart Grid with User-Dependent Acceptance Prices, 2016 IEEE 84th Vehicular Technology Conference (VTC-Fall), Montreal, QC, Canada, 2016, 1-510.1109/VTCFall.2016.7881024Search in Google Scholar

[2] Singh P., Kothari D.P., Singh M., Feasibility of interconnected distribution network for the integration of distributed energy resources using ga approach, Int. Rev. Electr. Eng-I., 2013, 8(1), 314Search in Google Scholar

[3] Singh P., Kothari D.P., Singh M., Integration of distributed energy resources, Res. J. appl. sci. eng. technol., 2014, 7(1), 91-9610.19026/rjaset.7.225Search in Google Scholar

[4] Singh P., Kothari D.P., Singh M., Interconnected Distribution Network for the Integration of Distributed Energy Resources, Res. J. appl. sci. eng. technol., 2014, 7(2), 240-25010.19026/rjaset.7.247Search in Google Scholar

[5] Singh P., Kothari D.P., Singh M., Smart Grid Integration for demand side management, IJEEE, 2010,12(3), 49-52Search in Google Scholar

[6] Baourakis G., Kourgiantakis M., Migdalas A., The impact of e-commerce on agro-food marketing: The case of agricultural cooperatives, firms and consumers in Crete. Brit. Food J., 2002, 104(8), 580-59010.1108/00070700210425976Search in Google Scholar

[7] Singh P., Kothari D. P., Singh M., Voltage control in Distribution Networks Having DGs by using UPFC, IJEEES, 2010, 1(2), 31-38Search in Google Scholar

[8] Singh P., Kothari D.P., Singh M., Smart Grid Model, IJEEER, 2011, 1(1), 129-148Search in Google Scholar

[9] Yuan C., Illindala M.S., Khalsa A.S., Co-optimization scheme for distributed energy resource planning in community microgrids, IEEE Trans. Sustain. Energy, 2017, 8(4), 1351-136010.1109/TSTE.2017.2681111Search in Google Scholar

[10] Ji G., Yang G., Capacity manipulation and menus of two part tariff contract in supply chain. In 2009 6th International Conference on Service Systems and Service Management, IEEE, 2009, 104-109Search in Google Scholar

[11] Lin B., Liu, X., Electricity tariff reform and rebound effect of residential electricity consumption in China, Energy, 2013, 59, 240-24710.1016/j.energy.2013.07.021Search in Google Scholar

[12] Yang, P., Tang, G., Nehorai A., A game-theoretic approach for optimal time-of-use electricity pricing, IEEE Trans. Power Syst., 2013, 28(2), 884-89210.1109/TPWRS.2012.2207134Search in Google Scholar

[13] Canbing L., Shengwei T., Yijia C., Yajing X., Yong L., Junxiong L., et al., A new stepwise power tariff model and its application for residential consumers in regulated electricity markets, IEEE Trans. Power Syst., 2013, 28(1), 300-30810.1109/TPWRS.2012.2201264Search in Google Scholar

[14] Talwariya A., Sharma D., Pandey A.K., Singh P., An execution of smart grid with game theory, In 2016 International Conference on Recent Advances and Innovations in Engineering (ICRAIE), IEEE, 2016, 1-410.1109/ICRAIE.2016.7939503Search in Google Scholar

[15] Yunpeng W., Behavioural Game Theory for Smart Grid Energy management, PhD thesis, University of Miami, Miami, 2015Search in Google Scholar

[16] Marzband M., Javadi M., Domínguez-García J.L., Moghaddam M.M., Non-cooperative game theory based energy management systems for energy district in the retail market considering DER uncertainties, IET Gener. Transm. Dis., 2016, 10(12), 2999-300910.1049/iet-gtd.2016.0024Search in Google Scholar

[17] European Commission action plan, http://ec.europa.eu/transport/themes/urban/urban_mobility/doc/com_2009_490_5_action_plan_on_urban_mobility.pdf, 2012Search in Google Scholar

[18] Iea E., Understanding the Electric Vehicle Landscape to 2020. Electric Vehicles Initiative, International energy agency, Global EV Outlook, 2013Search in Google Scholar

[19] Wu F., Li X., Feng F., Gooi H. B., Multi-topology-Mode Grid-Connected Inverter to Improve Comprehensive Performance of renewable Energy Source Generation System, IEEE Trans. Power Electron., 2017, 32(5), 3623-363310.1109/TPEL.2016.2589974Search in Google Scholar

[20] Wang Y., Infield, D., Markov Chain Monte Carlo simulation of electric vehicle use for network integration studies, Int. J. Elec. Power, 2018, 99, 85-9410.1016/j.ijepes.2018.01.008Search in Google Scholar

[21] Central Electricity Authority, ALL INDIA INSTALLED CAPACITY (IN MW) OF POWER STATIONS - 31.01.2017, 2017Search in Google Scholar

[22] Singh R., Sood Y.R., Padhy N.P., Development of renewable energy sources for Indian power sector moving towards competitive electricity market, PES-2009 IEEE Power & Energy Society General Meeting, Calgary, 2009, 1-610.1109/PES.2009.5275289Search in Google Scholar

[23] Singh N., Kumar A., Determination of star rating of transformers using dual criteria method, 9th International Conference on Industrial and Information Systems (ICIIS), Gwalior, 2014, 1-510.1109/ICIINFS.2014.7036475Search in Google Scholar

[24] Ministry of Human Resource Development, National Policy on Education 2016, Report of the committee for evolution of the new education policy, Government of India 30.04.2016, 2016Search in Google Scholar

[25] Smith T.B., Electricity theft: a Comparative Analysis, 2003, doi:10.1016/S0301-4215(03)00182-410.1016/S0301-4215(03)00182-4Search in Google Scholar

[26] Talwariya A., Singh P., Kolhe M., A stepwise power tariff model with game theory based on Monte-Carlo simulation and its applications for household, agricultural, commercial and industrial consumers, JEPE, 2019, 111, 14-2410.1016/j.ijepes.2019.03.058Search in Google Scholar

[27] Jaipur Vidyut Vitran Nigam Limited (Commercial Wing), Tariff for Supply of Electricity-2016, No. JVVNL/MD/CE(HQ)/SE/(Comml)/D.1365 - 29.09.2016, 2016Search in Google Scholar

Received: 2018-10-03
Accepted: 2019-03-04
Published Online: 2019-08-21

© 2019 Akash Talwariya et al., published by De Gruyter

This work is licensed under the Creative Commons Attribution 4.0 Public License.

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