Joint optimal sizing and placement of renewable distributed generation and energy storage for energy loss minimization

Vaiju Kalkhambkar, Rajesh Kumar, Rohit Bhakar

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

20 Citations (Scopus)

Abstract

Large integration of renewable distributed generation (RDG) and energy storage (ES) in distribution networks provides an opportunity for energy loss minimization. This paper proposes a method for joint optimum allocation of RDG and distributed ES for energy loss minimization. The main contribution of the paper is formulation of probabilistic generation model and ES model to perform a combined optimization. Also, it presents integration of generation model, storage model, and load model into an optimal power flow to obtain loss minimization. A highly competitive algorithm called Grey Wolf Optimizer (GWO) is implemented to solve the nonlinear constrained optimization. The results are also compared with other heuristic algorithms, i.e., Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Symbiotic Organisms Search Algorithm (SOS) and Firefly Algorithm (FFA). Two cases studies for joint optimal sizing and placement of RDG (i.e., solar RDG-ES and wind RDG-ES) are presented.

Original languageEnglish
Title of host publication2017 4th International Conference on Advanced Computing and Communication Systems, ICACCS 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509045594
DOIs
Publication statusPublished - 22 Aug 2017
Externally publishedYes
Event4th International Conference on Advanced Computing and Communication Systems, ICACCS 2017 - Coimbatore, India
Duration: 6 Jan 20177 Jan 2017

Publication series

Name2017 4th International Conference on Advanced Computing and Communication Systems, ICACCS 2017

Conference

Conference4th International Conference on Advanced Computing and Communication Systems, ICACCS 2017
Country/TerritoryIndia
CityCoimbatore
Period6/01/177/01/17

Keywords

  • energy storage
  • Grey Wolf Optimizer
  • loss minimization
  • optimum allocation
  • probability density function
  • Renewable distributed generation

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems
  • Signal Processing
  • Software

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