Application of Differential Evolution Algorithm and Its Variants for Solving Energy Storage Technologies Integrated Generation Expansion Planning

  • A. BhuvaneshEmail author
  • S. T. Jaya Christa
  • S. Kannan
  • M. Karuppasamy Pandiyan
  • K. Gangatharan
Research Paper


Generation expansion planning (GEP) should consider the integration of renewable energy sources (RES) and energy storage technologies (EST), along with conventional generating units so as to overcome the challenges such as uncertainties in future load growth forecasting, restrictions on investment for power generation, the type and availability of source for the generating units, environmental policy based on emission constraints and the reliability level to guarantee a continuous power. The proposed coordinated GEP-EST planning aims at minimizing the overall generation cost and environmental pollution, and at the same time, it considers large-scale ESTs. In this paper, the promising intelligent techniques such as differential evolution and self-adaptive differential evolution algorithms are applied to solve GEP-EST problem, where the power generating system of Tamil Nadu, an Indian state is taken as study system. Simulation results show that the integration of ESTs significantly reduces the overall cost and the pollutant emission.

Graphical Abstract


DE EST GEP RES SaDE Tamil Nadu electricity sector 


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Copyright information

© Shiraz University 2019

Authors and Affiliations

  1. 1.Department of Electrical and Electronics EngineeringPSN College of Engineering and TechnologyTirunelveliIndia
  2. 2.Department of Electrical and Electronics EngineeringMepco Schlenk Engineering CollegeSivakasiIndia
  3. 3.Department of Electrical and Electronics EngineeringRamco Institute of TechnologyRajapalayamIndia
  4. 4.Department of Electrical and Electronics EngineeringKalasalingam UniversityKrishnankoilIndia
  5. 5.Department of Mechanical EngineeringPSN College of Engineering and TechnologyTirunelveliIndia

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