Optimal Allocation of Series FACTS Devices in Large Scale Systems

TL;DR

This paper introduces a new optimization approach for placing series FACTS devices in large power systems, considering multiple operating states and contingencies, using a reformulated MILP model and a two-phase decomposition algorithm.

Contribution

It develops a novel MILP-based model and a decomposition algorithm for optimal FACTS device placement in large-scale power systems under various conditions.

Findings

Efficient algorithm performance on IEEE 118-bus system

Successful application to Polish 2383-bus system

Improved planning accuracy and computational efficiency

Abstract

Series FACTS devices, such as the variable series reactor (VSR), have the ability to continuously regulate the transmission line reactance so as to control power flow. This paper presents a new approach to optimally locating such devices in the transmission network considering multiple operating states and contingencies. To investigate optimal investment, a single target year planning with three different load patterns is considered. The transmission contingencies may occur under any of the three load conditions and the coupling constraints between base case and contingencies are included. A reformulation technique transforms the original mixed integer nonlinear programming (MINLP) model into mixed integer linear programing (MILP) model. To further relieve the computational burden and enable the planning model to be directly applied to practical large scale systems, a two phase decomposition algorithm is introduced. Detailed numerical simulation results on IEEE 118-bus system and the Polish 2383-bus system illustrate the efficient performance of the proposed algorithm.