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Symbiotic organisms search algorithm for static and dynamic transmission expansion planning

Symbiotic organisms search algorithm for static and dynamic transmission expansion planning

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Transmission expansion planning (TEP) is a conventional problem of electric power systems. The main objective of TEP is to govern the optimum expansion plan of the electrical power networks. This chapter proposes symbiotic organisms search (SOS) algorithm (a novel metaheuristic optimization technique) for the solution of TEP problem of power systems. SOS algorithm is motivated by the interactions among the organisms in the ecosystem. Both static and dynamic TEP problem have been modeled in this chapter using DC power flow model and are effectively solved by the SOS algorithm. Several constraints such as right-of-way's validity, maximum number of lines addition, power flow of the network lines have been taken into consideration. To authenticate the capability of the proposed method, Garver's 6-bus system, IEEE 25-bus system and Colombian 93-bus system are tested for TEP problem. The efficacy of the proposed SOS algorithm, while dealing with different case studies of the studied power networks, is established in terms of higher quality results (i.e., lower investment cost), lower competitive computational burden and quicker (also stable) convergence mobility.

Chapter Contents:

  • Abstract
  • 16.1 Introduction
  • 16.1.1 General
  • 16.1.2 Background perspective
  • 16.1.3 Motivation
  • 16.1.4 Contributions
  • 16.1.5 Chapter layout
  • 16.2 Mathematical problem formulation
  • 16.2.1 Static planning model
  • 16.2.1.1 Power balance constraint
  • 16.2.1.2 Power transfer capacity constraint
  • 16.2.1.3 Power generation capacity constraint
  • 16.2.1.4 Right-of-way constraint
  • 16.2.2 Multistage planning model
  • 16.3 Proposed SOS algorithm
  • 16.3.1 Symbiosis: elementary concept
  • 16.3.2 SOS: features
  • 16.3.2.1 Mutualism stage
  • 16.3.2.2 Commensalism stage
  • 16.3.2.3 Parasitism stage
  • 16.4 SOS algorithm for TEP application
  • 16.4.1 Computational practice of SOS for TEP
  • 16.5 Simulation results and discussions
  • 16.5.1 Testing strategies
  • 16.5.2 SOS parameters
  • 16.5.3 Example 1: Garver's 6-bus test system
  • 16.5.3.1 Case 1A: without generation resizing
  • 16.5.3.2 Case 1B: with generation resizing
  • 16.5.4 Example 2: IEEE 25-bus test system
  • 16.5.4.1 Case 2A: without generation resizing
  • 16.5.4.2 Case 2B: with generation resizing
  • 16.5.5 Example 3: Colombian 93-bus test system
  • 16.5.6 Performance analysis
  • 16.5.6.1 Statistical analysis
  • 16.5.6.2 Convergence rate
  • 16.6 Conclusion and scope of future work
  • References

Inspec keywords: power transmission lines; power transmission planning; optimisation; search problems; load flow

Other keywords: IEEE 25-bus system; static TEP problem; electrical power network systems; power flow; dynamic transmission expansion planning; metaheuristic optimization technique; static transmission expansion planning; symbiotic organism search algorithm; SOS algorithm; dynamic TEP problem; ecosystem; DC power flow model; Garver's 6-bus system; Colombian 93-bus system

Subjects: Optimisation techniques; Power transmission, distribution and supply; Power system planning and layout; Combinatorial mathematics

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