Transmission expansion planning using AC‐based differential evolution algorithm

Abstract

The rapid growth of the transmission networks has brought more uncertainties and new requirements in the transmission expansion planning (TEP) to the planners. The existing methods of solving TEP problem have a drawback since the DC load flow and the relaxed load flow models have been utilized to solve TEP problem. In this work, the TEP problem is solved based on mixed integer nonlinear non-convex programming model. A meta-heuristic algorithm by the means of differential evolution algorithm (DEA) is employed as an optimisation tool. An AC load flow model is used in solving the TEP problem, where accurate and realistic results can be obtained. Furthermore, the work considers the constraints checking and system violation such as real and power generation limits, possible number of lines added and bus voltage limits. The proposed technique is tested on Garver's 6 bus system and IEEE 24 bus system and has shown high capability in considering the active and reactive power in the same manner and solving the TEP problem. The method produced improved results for the test systems. In terms of minimising the cost and the solution quality, the proposed method obtained good and challenging results comparing to the previous works.

Transmission network expansion planning using a modified artificial bee colony algorithm

“…28 An improved version of PSO is used in 1 study 29 for TNEP by consideration of shunt compensation in AC formulation. Differential evolution algorithm (DEA), 30 mixed-integer conic programming, 31 and Benders decomposition 32 are also used to solve similar problems. However, for AC TNEP, network security constraints have not been considered in any of these papers.…”

Expansión de un sistema de transmisión mediante LOPF-AC

“…Los diversos aspectos técnicos, económicos y ambientales, han sido considerados en la metodología correspondiente a la planificación de la transmisión, teniendo en cuenta ciertos puntos clave para el desarrollo de la metodología de la TEP [21], [22], a saber: evaluación económica, de parámetros, técnica y evaluación del impacto ambiental que este producirá [10].…”

“…Por tal razón, es considerado como un problema de optimización, ya que se debe minimizar factores que son importantes para tener un mayor rendimiento de la red a estudiarse. Por otro lado, el modelo de flujo de potencia de TEP basado en AC tiene varias ventajas [8], tales como: a) permite al planificador continuar con otros estudios después de resolver el problema de TEP [9], [10]; b) la posibilidad de usar los dispositivos de operación no lineales para resolver el problema; c) tiene la capacidad de llevar a cabo la etapa de refuerzo cuando se utilizan los planos obtenidos a partir del modelo a linealizar [11].…”

Advanced model for joint generation and transmission expansion planning including reactive power and security constraints of the network integrated with wind turbine

“…Application of the heuristic algorithms such as differential evolution algorithm and particle swarm optimization (PSO) to solve the problem has been widely addressed. 11,12 Moreover, reliable renewable G&TEP, N-k constrained composite G&TEP, and reliability-based model for G&TEP are expressed in the works of Moreira et al, 13 Hong et al, 14 and Ahmadi et al, 15 respectively. In these references, the power system planning is based on a direct current (DC) power flow.…”