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Power Systems Planning

  • Mohammad Kiani-Moghaddam
  • Mojtaba Shivaie
  • Philip D. Weinsier
Chapter
Part of the Power Systems book series (POWSYS)

Abstract

This chapter begins with a general, yet rigorous, treatment of power system planning studies with a focus on important characteristics, such as power system structure, planning horizon, uncertainties, and solving algorithms. The chapter also explains why power systems need expansion planning studies. Afterwards, four innovative strategic multilevel computational-logical frameworks are developed for pseudo-dynamic generation expansion planning (PD-GEP), pseudo-dynamic transmission expansion planning (PD-TEP), coordination of pseudo-dynamic generation and transmission expansion-planning (PD-G&TEP), and pseudo-dynamic distribution expansion planning (PD-DEP) in order to optimally supply, transfer, and distribute electric energy. The proposed PD-GEP and PD-TEP are formulated by a strategic tri-level computational-logical framework; similarly, the PD-G&TEP is organized by a strategic quad-level computational-logical framework. Moreover, the PD-DEP is described by a techno-economic framework in the presence of the distributed generation resources (DGRs). The PD-DEP formulation includes a short-term loadability-based optimal power flow (LBOPF) problem and a long-term planning problem. This chapter widely employs a well-founded information-gap decision theory (IGDT) under a twofold envelope-bound uncertainty model in order to handle risks of the PD-GEP, PD-TEP, PD-G&TEP, and PD-DEP problems stemming from severe twofold uncertainties of demand and market price.

Keywords

Coordination of pseudo-dynamic generation and transmission expansion planning (PD-G&TEP) Distributed generation resources (DGRs) Information-gap decision theory (IGDT) Loadability-based optimal power flow (LBOPF) Pseudo-dynamic distribution expansion planning (PD-DEP) Pseudo-dynamic generation expansion planning (PD-GEP) Pseudo-dynamic transmission expansion planning (PD-TEP) 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Mohammad Kiani-Moghaddam
    • 1
  • Mojtaba Shivaie
    • 2
  • Philip D. Weinsier
    • 3
  1. 1.Department of Electrical EngineeringShahid Beheshti UniversityTehranIran
  2. 2.Faculty of Electrical Engineering and RoboticShahrood University of TechnologyShahroodIran
  3. 3.Department of Applied Electrical EngineeringBowling Green State University FirelandsHuronUSA

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