Results 211 to 220 of about 13,813 (259)
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Transmission Network Expansion Planning Considering Uncertainty in Demand
IEEE Transactions on Power Systems, 2006This paper presents two mathematical models and one methodology to solve a transmission network expansion planning problem considering uncertainty in demand. The first model analyzed the uncertainty in the system as a whole; then, this model considers the uncertainty in the total demand of the power system.
Ruben Romero
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Nature inspired algorithms for transmission network expansion planning problems: a review
International Journal of Intelligent Engineering Informatics, 2022Divya Rajoria, Ajay Sharma
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Transmission Network Expansion Planning
2021This chapter analyzes transmission network expansion planning (TNEP), aimed at determining the optimal approach for adequate selection of transmission lines to be constructed to meet the growing energy demand, as well as facilitating power transfer from far-away locations to consumers.
Nnamdi Nwulu, Saheed Lekan Gbadamosi
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Transmission network expansion planning with Scatter Search
2007 IEEE International Conference on Systems, Man and Cybernetics, 2007In this paper, an efficient method is proposed for transmission network expansion planning in power systems. The power networks become more deregulated and competitive due to the power system liberalization. Power system planners are concerned with the quality of the optimization method to make power system planning more reasonable.
Hiroyuki Mori, Kojiro Shimomugi
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Transmission Network Expansion Planning with Simulation Optimization
Proceedings of the AAAI Conference on Artificial Intelligence, 2010Within the electric power literature the transmission expansion planning problem (TNEP) refers to the problem of how to upgrade an electric power network to meet future demands. As this problem is a complex, non-linear, and non-convex optimization problem, researchers have traditionally focused on approximate models of power flows ...
Russell Bent +2 more
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Transmission network expansion planning software-tools
2015 IEEE 10th Jubilee International Symposium on Applied Computational Intelligence and Informatics, 2015The authors are proposing a software-tool for transmission network expansion planning (TNEP). The developed software-tool is able to be used in case of complex, large scale power systems. It uses a.c. complete power flow mathematical model. Power flow computing is performed using conventional methods.
Attila Simo +3 more
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Complexity of transmission network expansion planning
Energy Systems, 2013Transmission network expansion planning in its original formulation is NP-hard due to the subproblem Steiner trees, the minimum cost connection of an initially unconnected network with mandatory and optional nodes. By using electrical network theory we show why NP-hardness still holds when this subproblem of network design from scratch is omitted by ...
Oertel, David, Ravi, R.
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AC transmission network expansion planning considering losses
2018 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe), 2018This paper proposes to solve the transmission network expansion planning problem (TNEP) using the AC model formulated with full non-linear load flow equations, incorporating the cost of losses in the transmission network. Additionally, the decomposed formulation finds the location and amount of the reactive compensation needed in the system.
Edgar G. Morquecho +6 more
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Constraint Handling in Transmission Network Expansion Planning
2010Transmission network expansion planning (TNEP) is a very important and complex problem in power system. Recently, the use of metaheuristic techniques to solve TNEP is gaining more importance due to their effectiveness in handling the inequality constraints and discrete values over the conventional gradient based methods.
Rammohan Mallipeddi +4 more
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Optimal static and dynamic transmission network expansion planning
Evolving Systems, 2019In this paper, a novel approach is proposed to solve the problem of static and dynamic Transmission expansion planning (TEP) in electrical power systems. The proposed method is the execution of an Adaptive salp swarm optimization algorithm (ASSO). The ASSO is a meta-heuristic algorithm, which depends on the swarming behavior and population of salps. In
Manisha D. Khardenvis, Vijay N. Pande
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