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4 results on '"Network planner"'

1. Resilience-based tri-level framework for simultaneous transmission and substation expansion planning considering extreme weather-related events.

Author

Shivaie, Mojtaba, Kiani-Moghaddam, Mohammad, and Weinsier, Philip D.

Subjects
*INDEPENDENT system operators, *POWER transmission, *SYMPHONY orchestras, *SEARCH algorithms, *EWES
Abstract

In this study, a new resilience-based framework is presented for multi-period simultaneous transmission and substation expansion planning (ST&SEP) considering extreme weather-related events (EWEs). The formation of the proposed planning framework falls into a tri-level optimisation problem with the aim of strengthening power network resilience in response to the EWEs. In the lower-level problem, short-term remedial corrective strategies of the independent system operator (ISO) after the EWEs are determined by applying network reconfiguration and generation redispatch. In the intermediate-level problem, an enhanced scenario-building approach is developed to model and analyse the EWEs, as non-random uncertain events, and their subsequent detrimental effects using the notion of the fragility curves corresponding to power network components. In the upper-level problem, however, long-term remedial preventive strategies of the ISO, as network planner, after the EWEs are obtained through integrated decisions between multi-period ST&SEP and transmission switching equipment planning. The newly proposed planning framework is formulated as a large-scale mixed-integer non-linear tri-level optimisation problem and is solved by a powerful symphony orchestra search algorithm in order to obtain the final optimal solution. The proposed planning framework is examined on the real-world large-scale Iranian 400-kV power transmission network and its profitableness is assured by thorough simulation studies. [ABSTRACT FROM AUTHOR]

Published
2020
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2. Evaluation of EHV and AC/DC technologies for integration of large‐scale renewable generation in Saudi Arabian network.

Author

Arif, Mohammed, Ahmad, Firoz, Kashyap, Ravi, Abdel‐Galil, Tarek K., Othman, Mahmoud M., El‐Amin, Ibrahim, and Al‐Mubarak, Ahmed

Abstract

Renewable energy is a rapidly growing environmental‐friendly alternative for electricity generation, which will supersede using fossil fuels in the near future. Renewable‐based generation is usually located at remote areas, and the large‐scale generated power is required to be transmitted to the main load centres; thus, the main challenge facing the bulk power transmission is the precise determination of the most appropriate transmission option. This study presents a comprehensive techno‐economic study for the selection of the adequate transmission option for large‐scale power transmission. The proposed work aims to study different transmission alternatives to transfer 10,000 MW of renewable generated power to the load centres in the central region of Saudi Arabia. Different high‐voltage AC (HVAC) voltage levels such as 725 and 500 kV, and high‐voltage DC (HVDC) technologies are considered as alternatives, and a techno‐economic evaluation of each option is presented. Moreover, detailed comparisons between different HVAC and HVDC technologies are introduced from technical, economic, and environmental perspective. The presented study, comparisons, and the subsequent recommendations are helpful for the network planner to evaluate different extra high‐voltage (EHV) and AC/DC transmission options in terms of accessibility, load‐carrying capability, efficiency, reliability, stability, environmental impact, and economics. [ABSTRACT FROM AUTHOR]

Published
2019
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3. Combined Ray-Tracing/FDTD and Network Planner Methods for the Design of Massive MIMO Networks

Author

Luc Martens, Margot Deruyck, Sotirios K. Goudos, Wout Joseph, Emmeric Tanghe, David Plets, Sergei Shikhantsov, and Michel Matalatala Tamasala

Subjects
Optimization, Beamforming, Technology and Engineering, General Computer Science, Computer science, MODELS, MIMO, EMF exposure, 02 engineering and technology, Precoding, 030218 nuclear medicine & medical imaging, beamforming, Time-domain analysis, Tools, 03 medical and health sciences, 0302 clinical medicine, GHZ, Telecommunications link, 0202 electrical engineering, electronic engineering, information engineering, massive MIMO, ray-tracing, General Materials Science, EXPOSURE, precoding, Simulation, General Engineering, Finite-difference time-domain method, 020206 networking & telecommunications, power consumption, network planner, antenna arrays, Design methodology, Finite difference methods, Power demand, Antennas, Ray tracing (graphics), lcsh:Electrical engineering. Electronics. Nuclear engineering, TUTORIAL, lcsh:TK1-9971, 5G
Abstract

The design of a massive MIMO network requires a channel model that captures the Spatio-temporal dimensions of the propagation environment. In this paper, we propose a novel method combining Hybrid Raytracing - Finite difference time domain (FDTD) and network planner tools to address this requirement. This method provides accurate and realistic EMF exposure models for the design of a massive MIMO network. Using this method, we proceed with the optimization of the BS's locations under the low power consumption and low EMF exposure constraints. Assuming equal preference of the optimization objectives, the simulations show that the uplink localized 10g dose appears to be the dominant factor of the localized 10g EMF exposure. Moreover, a massive MIMO network designed to serve 224 simultaneous active users at the same time-frequency resource is subject to an increase of the total whole-body dose (2 times higher in downlink and +18% in uplink), compared to a design with 14 active users. However, in the same conditions, the downlink localized 10g dose reduces (20 times lower) whereas the uplink localized 10g dose increases (+23%) in comparison with the scenario with fewer users (14). Besides, the electromagnetic field strength in all locations obtained with this new method is 2 times weaker compared to a 4G LTE network, while complying with the international guidelines.

Published
2020

4. A prize collecting Steiner tree approach to least cost evaluation of grid and off-grid electrification systems

Author

Gizem Bolukbasi, Ayse Selin Kocaman, Bölükbaşı, Gizem, and Kocaman, Ayşe Selin

Subjects
Decision support system, Operations research, 020209 energy, Spatial electricity planning, 02 engineering and technology, 010501 environmental sciences, Minimum spanning tree, 01 natural sciences, Steiner tree problem, Industrial and Manufacturing Engineering, symbols.namesake, Spatial network, Electrification, Prize collecting Steiner tree, 0202 electrical engineering, electronic engineering, information engineering, Rural electrification, Electrical and Electronic Engineering, 0105 earth and related environmental sciences, Civil and Structural Engineering, Heuristic, Mechanical Engineering, Building and Construction, Grid, Pollution, Sub-Saharan africa, General Energy, Geography, symbols, Network planner
Abstract

The lack of access to electricity in developing countries necessitates spatial electricity planning for guiding sustainable electrification projects that evaluate the costs of centralized systems vis-a-vis decentralized systems. Heuristic approaches have been widely used in such electrification problems to find feasible, cost effective solutions; however, most of the time global optimality of these solutions is not guaranteed. Our paper through its modeling approach provides a new methodology to find the least cost solution to this electrification problem. We model the spatial network planning problem as Prize Collecting Steiner Tree problem, which would be a base for a decision support tool for rural electrification. This new method is systematically assessed using both randomly generated data and real data from rural regions across Sub-Saharan Africa. Comparative results for the proposed approach and a widely used heuristic method are presented based on computational experiments.

Published
2018
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