Security constrained AC transmission network expansion planning

Abstract

Modern transmission network expansion planning (TNEP) is carried out with AC network model, which is able to handle voltage and voltage stability constraints. However, such a model requires optimization with iterative AC power flow model, which is computationally so demanding that most of the researchers have ignored the vital (N-1) security constraints. Therefore, the objective of this research work is to develop an efficient, two stage optimization strategy for solving this problem. In the first stage, a DC expansion planning problem is solved which provides an initial guess as well as some very good heuristics to reduce the number of power flow solutions for the second stage of AC transmission and reactive expansion planning. A modified artificial bee colony (MABC) algorithm is used to solve the resulting optimization problem. Static AC TNEP results for Garver 6 bus, IEEE 24 bus and IEEE 118 bus test systems have been obtained with the proposed and rigorous approaches and wherever possible, compared with similar results reported in literature to demonstrate the benefits of the proposed method. Also, multi-stage dynamic AC TNEP for the Garver 6 bus system is solved to show the applicability of the methodology to such problems.

Reliability-Constrained AC Power Flow-Based Co-Optimization Planning of Generation and Transmission Systems With Uncertainties

“…An exact mixed integer non-linear AC model is used to form an accurate model in [24], and the problem is solved with LINGO optimization software tool. To tackle the nonlinear AC model while considering N-1 contingency, reference [25] applies a modified artificial bee colony algorithm to solve the expansion model. Similarly, reference [26] utilizes a novel evolutionary algorithm based on the best features of particle swarm optimization (PSO) and genetic algorithm (GA) to solve the multi-year AC dynamic transmission expansion planning.…”

Tight convex relaxation for TEP problem: a multiparametric disaggregation approach

“…Thus, a few research works have been carried out employing the exact non-linear AC power flow equations which are computationally too intensive. A twostage efficient solution methodology for AC transmission planning is proposed in [17] in which voltage stability is considered. The impact of renewable generation on the TEP is studied in [18] using AC equations.…”

“…To solve the TEP problem, an improved version of local particle swarm optimisation is used. A bee colony algorithm is employed in [26] as an optimisation tool to solve the AC-TEP problem in which the authors show that the solution methodology is efficient and accurate.…”

Efficient sensitivity based approach for AC transmission expansion planning

“…Thus, various approaches in the literature for AC TEP have focused on handling the non‐linearity and non‐convexity in AC TEP by using relaxations/approximations and binary variables. Some of the recent related works are AC TEP with linear relaxations [16–22], conic programming [7, 23, 24], semidefinite relaxation [25] and two‐stage method for security‐constrained AC TEP [26]. Taylor and Hover [17] claim of a new linear relaxation for AC TEP, which is better than existing linear DC models.…”

“…Also, the formulation is inexact for mesh networks as cyclic constraints are ignored. A two‐stage method (DC TEP in the first stage and AC TEP in the second stage) is proposed in [26] for security‐constrained AC TEP, which is solved by a meta‐heuristic approach – artificial bee colony algorithm. A variation of evolutionary programming with a cultural algorithm is used to solve AC TEP in [28].…”