Abstract

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.

Highlights

  • The optimal integration of Distributed energy resources (DERs) is important to reduce active and reactive power losses, improving the voltage profile, network reliability etc. in the distribution network

  • Proposed method of DERs integration using fuzzy logic controller (FLC) and game theory is compared with conventional method i.e., novel modified method, power loss sensitivity method, voltage sensitivity analysis method for IEEE 33 bus radial distribution network

  • Distributed energy resources are integrated with distribution networks near load centers to minimize the losses and to maintain the voltage profile

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Summary

Introduction

The optimal integration of DERs is important to reduce active and reactive power losses, improving the voltage profile, network reliability etc. in the distribution network. The optimal integration of DERs is important to reduce active and reactive power losses, improving the voltage profile, network reliability etc. Sever methodologies of DERs integration are available in literature i.e., novel method, power loss sensitivity method, voltage indexing, voltage sensitivity analysis, etc. The novel method of DERs optimization based on active power loss of the system for unity power factor and further it is modified for lagging and leading power factor cases to integrate DERs [12,13]. The capacity of DERs is obtained by connecting different capacity DERs at define node and where the active power losses are minimum use for integration [14,15]. In this paper, existing DERs optimization methodologies are compared with the proposed methodology of DERs integration using the fuzzy logic controller and game theory. The proposed methodology calculates the capacity of DERs to integrate with radial

AIMS Energy
DERs integration using modified novel method
DERs integration using power loss sensitivity method
DERs integration using voltage sensitivity analysis method
DERs capacity for integration using Fuzzy Logic Controller
DERs location of Integration using game theory
Modified novel method
Power loss sensitivity method
Voltage sensitivity analysis
Proposed Methodology
Results comparison
Conclusions
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