2018 IEEE PES/IAS PowerAfrica 2018
DOI: 10.1109/powerafrica.2018.8520979
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Optimal Scheduling in Offshore Wind Farms Considering Harmonic Losses and Locational Marginal Pricing

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Cited by 9 publications
(2 citation statements)
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“…Different combinations of renewable energy system units are used to verify their respective effects on the power system reliability, and this is performed on the following case studies: For all case studies, the five generating systems consist of two CHP generating units of 30 kW and 20 kW, respectively, a 12 kW wind turbine generating unit, a 15 kW PV system and a 10 kW battery system, as shown in Table 1. The developed optimization model is solved using CPLEX 12.8 solver programmed in Algebraic Modelling Language (AML) [29,30]. AML are used for solving optimization problems.…”
Section: Description Of Study Casesmentioning
confidence: 99%
“…Different combinations of renewable energy system units are used to verify their respective effects on the power system reliability, and this is performed on the following case studies: For all case studies, the five generating systems consist of two CHP generating units of 30 kW and 20 kW, respectively, a 12 kW wind turbine generating unit, a 15 kW PV system and a 10 kW battery system, as shown in Table 1. The developed optimization model is solved using CPLEX 12.8 solver programmed in Algebraic Modelling Language (AML) [29,30]. AML are used for solving optimization problems.…”
Section: Description Of Study Casesmentioning
confidence: 99%
“…Because of variability and intermittency nature of RES, there inclusion into the grid results into complex TEP optimization problems requiring an optimal power flow (OPF) computational approach in ensuring effective operation and planning of power systems (Gbadamosi et al , 2018b; Babatunde et al , 2019; Gbadamosi and Nwulu, 2019). OPF problem is a crucial tool for TEP optimization because of its ability to provide optimal values for control variables while minimizing or maximizing predefined objectives without violating all necessary constraints (Bouchekara et al , 2014).…”
Section: Introductionmentioning
confidence: 99%