Fuzzy logic controller and game theory based distributed energy resources allocation

Akash Talwariya; Pushpendra Singh; Mohan Lal Kolhe; Jalpa H. Jobanputra; Akash Talwariya; Pushpendra Singh; Mohan Lal Kolhe; Jalpa H. Jobanputra

doi:10.3934/energy.2020.3.474

AIMS Energy

2020, Volume 8, Issue 3: 474-492. doi: 10.3934/energy.2020.3.474

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Research article Special Issues

Fuzzy logic controller and game theory based distributed energy resources allocation

1.
Department of Electrical Engineering, JK Lakshmipat University, Jaipur (Rajasthan), 302026, India
2.
Faculty of Engineering and Science, University of Agder, Grimstad (Agder), NO 4879, Norway
3.
Department of Electrical Engineering, Shroff SR Rotary Institute of Chemical Technology, Bharuch (Gujrat), 393135, India

Received: 30 November 2020 Accepted: 13 May 2020 Published: 15 June 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 optimized by FLC with the help of three triangular input functions voltage profile, active power loss, and reactive power loss. The location of integration of DERs in the radial distribution network is identified by game theory. Game theory is a mathematical algorithm, the results of multiple runs of DERs integration with the desired capacity calculated by FLC, identify the location for integration. The results comparison of DERs integration with the proposed methodology and conventional method shows the effectiveness of the proposed methodology. The voltage profile of the IEEE 33 bus system is increased by 6.70% with unity PF and 7.10% with 0.9 PF most among the applied methodologies and reduce the active and reactive power losses for both unity and 0.9 PF cases.

Keywords:

Citation: Akash Talwariya, Pushpendra Singh, Mohan Lal Kolhe, Jalpa H. Jobanputra. Fuzzy logic controller and game theory based distributed energy resources allocation[J]. AIMS Energy, 2020, 8(3): 474-492. doi: 10.3934/energy.2020.3.474

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Abstract

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