Transmission network expansion planning is a very complex and computationally demanding problem due to the discrete nature of the optimization variables. This complexity has increased even more in a restructured deregulated environment. In this regard, there is a need for development of more rigorous optimization techniques. This paper presents a comparative analysis of three metaheuristic algo...

1 PEGASE R&D project: Advanced algorithms for state estimation and simulation of the Pan‐European power system The PEGASE project has produced new tools to enhance the cooperation among transmission system operators for the real time control and operational planning of the Pan-European transmission network. New powerful algorithms and full-scale prototypes have been developed that run the whole...

PLANET is an integrated software package aiding several steps of the transmission network planning, as well as the traffic simulation. The database of PLANET consists of the structural and the cost models of the transmission systems, the topological alternatives, the circuit routing and grouping rules, etc. The topological and transmission plans of the networks are obtained based on the traffic...

Network planning in wireless communication systems, which has strong impacts on the system performance, is a complex and challenging issue. This paper investigates the network planning problem under high-speed railway communication scenarios. A system model is characterised in terms of distributed antenna technology. An optimisation problem is formulated to optimise the total system cost with t...

Minimization of power consumption is a critical design goal for wireless-relay networks comprised of battery-powered sensor devices. In the paper, we consider a source-initiated (one-to-all) broadcast scenario in wirelessly-relay sensor networks (WSNs) with a high delivery probability requirement. We analyze both the transmission and the reception power to gain insights into the optimization of...

This paper presents a mathematical model and a methodology to analyze the losses in transmission expansion planning (TEP) under uncertainty in demand. The methodology is based on discrete particle swarm optimization (DPSO). DPSO is a useful and powerful stochastic evolutionary algorithm to solve the large-scale, discrete and nonlinear optimization problems like TEP. The effectiveness of the pro...

Decentralized planning mode of power generation and power transmission is facing enormous challenges at present, and all kinds of uncertainties that impact on the planning have become increasingly evident. To solve the two coordinated planning and development issues is imminent, proposing a coordinated planning model of generation and transmission to improve system stability and flexibility and...

This paper presents a novel mathematical model for the transmission network expansion planning problem. Main idea is to consider phase-shifter (PS) transformers as a new element of the transmission system expansion together with other traditional components such as transmission lines and conventional transformers. In this way, PS are added in order to redistribute active power flows in the syst...