0000000000614571
AUTHOR
Akash Talwariya
showing 6 related works from this author
Fuzzy logic controller and game theory based distributed energy resources allocation
2020
Energy management and demand control through conventional energy generation sources are challenging for energy providers. Distributed energy resources (DERs) allocation near load centers may provide a suitable solution. The main contribution of the paper improves the voltage profile and reduce the active and reactive power losses in the distribution network. DERs are integrated with IEEE 33 bus system using fuzzy logic controller (FLC) and game theory for two different cases with unity and 0.9 power factor (PF) and compares with conventional methods of integration (i.e., modified novel method, power loss sensitivity method, voltage sensitivity analysis method). The capacity of DERs is optim…
A stepwise power tariff model with game theory based on Monte-Carlo simulation and its applications for household, agricultural, commercial and indus…
2019
Abstract The concept of game theory has been adapted in the regulation of retail electricity market within the constraints of stepwise power tariff (SPT) for economic energy consumption. The objective is to increase the penetration level of renewable energy sources (RES) and electric vehicles with implementation of Bayesian game model for categorized (i.e. household, agricultural, commercial & industrial) consumers. Bayesian game model is based on degree of information shared by consumers due to their selfish nature. The main goal is to create an algorithm using constraints RES, storage through electric vehicles, electric wiring, number of consumer, efficient equipment, social status of fam…
Bayesian Game Model: Demand Side Management for Residential Consumers with Electric Vehicles
2019
This paper proposes the game theory enabled approach for the integration of electric vehicles for demand side management (DSM). Demand side management is very complex with conventional approaches. In order to the efficient mechanism of a game theory enabled approach may resolve the complexity. With the increased penetration level of electric vehicles it will be difficult to control grid-to-vehicle integration. The Bayesian game theory provides the solution of such problems in an organized manner. In the presence of distributed energy resources, Electric vehicles will play an important role to stabilize the grid integration. Electric Vehicles consume power during off-peak load period and inj…
Non-cooperative game theory based stepwise power tariff model using Monte-Carle simulation for agricultural consumers
2019
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 con…
Stackelberg Game Theory Based Energy Management Systems in the Presence of Renewable Energy Sources
2021
The game theory concept has been adapted for energy management between energy producers and consumers in the presence of renewable energy sources (RES) and electric vehicles (EVs). The objective of...
A Game Theory Approach and Tariff Strategy for Demand Side Management
2018
Demand side management in smart grid environment with smart meters, renewable energy sources, different kind of consumers etc. is a complex problem. To optimize the problem game theory methodology is used. Game theory approach provide win-win situation between consumers and utilities. Objective of the paper is to find the Nash equilibrium between consumer and utility when utility is supplied through green energy sources. Mathematical modeling of consumption and utilization derived a Nash equilibrium point where consumer and utility both get maximum payoffs. Results shows that energy consumption cost is reduce by applying game theory approach.