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Multi-objective for optimal placement and sizing DG units in reducing loss of power and enhancing voltage profile using BPSO-SLFA
Hassan, Abdurrahman Shuaibu; Sun, Yanxia; Wang, Zenghui - In: Energy reports 6 (2020), pp. 1581-1589
Algorithms are used to optimize both single and multi-objective system limits. This research aimed to detect the …. The research uses binary particle swarm optimization and shuffled frog leap (BPSO-SLFA) algorithms for simulation and … testing of an optimal power flow (OPF) on 33 and 69 bus radial distribution system. The result shows that the algorithms give …
Persistent link: https://www.econbiz.de/10012266175
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Quasi Oppositional Teaching-Learning based Optimization for Optimal Power Flow Incorporating FACTS
Roy, Provas Kumar; Dutta, Susanta; Nandi, Debashis - In: International Journal of Energy Optimization and … 5 (2016) 2, pp. 64-84
In this paper, quasi-oppositional teaching-learning based optimization (QOTLBO) is introduced and successfully applied for solving an optimal power flow (OPF) problem in power system incorporating flexible AC transmission systems (FACTS). The main drawback of the original teaching-learning based...
Persistent link: https://www.econbiz.de/10012044545
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Solving OPF Problems using Biogeography Based and Grey Wolf Optimization Techniques
Das, Puja; Banerjee, Subrata; Roy, Provas Kumar; … - In: International Journal of Energy Optimization and … 6 (2017) 3, pp. 55-77
-constrained optimal power flow (OPF) problems in the power system. In this paper, the proposed algorithms have been tested in 9-bus system …
Persistent link: https://www.econbiz.de/10012044566
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Electricity transmission formulations in multi-sector national planning models: An illustration using the KAPSARC energy model
Matar, Walid; Elshurafa, Amro M. - In: Energy Reports 4 (2018), pp. 328-340
The purpose of this study is to assess the policy-relevant effects of incorporating a more proper representation of electricity transmission in multi-sector national policy models. This goal is achieved by employing the KAPSARC Energy Model (KEM), which is the first publicly available...
Persistent link: https://www.econbiz.de/10011937744
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ON THE COMPUTATION AND APPLICATION OF MULTI-PERIOD SECURITY-CONSTRAINED OPTIMAL POWER FLOW FOR REAL-TIME ELECTRICITY MARKET OPERATIONS
Wang, Hongye - 2007
This work concerns the formulation and solution of a multi-period security-constrained optimal power flow problem for real-time electricity market operations. The solution of the proposed problem is intended to be part of the core pricing procedure for electricity trading in open markets where...
Persistent link: https://www.econbiz.de/10009466255
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Lying generators: Manipulability of centralized payoff mechanisms in electrical energy trade
Csercsik, Dávid - 2015
Optimal power flow (OPF) problems are focussing on the question how a power transmission network can be operated in the most economic way. The general aim in such scenarios is to optimize generator scheduling in order to meet consumption re-quirements, transmission constraints and to minimize...
Persistent link: https://www.econbiz.de/10011444424
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Impact of model parametrization and formulation on the explorative power of electricity network congestion management models
Hobbie, Hannes; Mehlem, Jonas; Wolff, Christina; Weber, … - 2021
Integrating increasing shares of weather-dependent renewable energies into energy systems while maintaining high levels of security of supply constitutes a challenge for network utilities. Obtaining the goal of large shares of renewable-based generation sources on electricity supply requires an...
Persistent link: https://www.econbiz.de/10012617842
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Lying generators : manipulability of centralized payoff mechanisms in electrical energy trade
Csercsik, Dávid - 2015
Optimal power flow (OPF) problems are focussing on the question how a power transmission network can be operated in the most economic way. The general aim in such scenarios is to optimize generator scheduling in order to meet consumption re-quirements, transmission constraints and to minimize...
Persistent link: https://www.econbiz.de/10010481789
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Operations research in optimal power flow : a guide to recent and emerging methodologies and applications
Skolfield, J. Kyle; Escobedo, Adolfo R. - In: European journal of operational research : EJOR 300 (2022) 2, pp. 387-404
Persistent link: https://www.econbiz.de/10013207261
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Robust approximation of chance constrained DC optimal power flow under decision-dependent uncertainty
Aigner, Kevin-Martin; Clarner, Jan-Patrick; Liers, Frauke; … - In: European journal of operational research : EJOR 301 (2022) 1, pp. 318-333
Persistent link: https://www.econbiz.de/10013207379