This article presents an enhanced model of a two-terminal voltage source converter based high-voltage DC system suitable for optimal power flow analysis in electric power systems. Both the back-to-back and the point-t...
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This article presents an enhanced model of a two-terminal voltage source converter based high-voltage DC system suitable for optimal power flow analysis in electric power systems. Both the back-to-back and the point-to-point voltage source converter and high-voltage DC schemes are addressed. Unlike to other proposals, the new model considers the operational constraints associated with the MVA ratings of the converters. The proposed model is implemented in a Newton-based optimal power flow approach and tested on the Baja California North 160-bus realistic power system. Simulation results show that a practically feasible optimal power flow solution can be obtained by considering the MVA converters' limits.
In this paper, we obtain optimum allocation of redundant components in a system design when costs are considered as (with & without) random respectively in the objective function. When costs function are random, b...
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In this paper, we obtain optimum allocation of redundant components in a system design when costs are considered as (with & without) random respectively in the objective function. When costs function are random, by applying Modified E-Model, objective function is converted into an equivalent deterministic form. A Numerical example is presented to illustrate the computational procedure for both (with & without) random costs respectively, and the problem is solved by using LINGO Software.
Multi-objective optimization focuses on simultaneous optimization of multiple targets. Evolutionary game theory transforms the optimization problem into game strategic problem and using adaptable dynamic game evolutio...
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Multi-objective optimization focuses on simultaneous optimization of multiple targets. Evolutionary game theory transforms the optimization problem into game strategic problem and using adaptable dynamic game evolution process intelligently obtains the optimized strategy. The problem of multiple frequency offsets estimation in distributed multiple inputs and multiple outputs system is real-world multi-objective search and optimization problems which are naturally posed as non-linear programming problems having multiple objectives. Simulation results evidence the proposed algorithm is superior to other algorithms with more robust convergence and environmental applicability.
A problem of finding a vector of maximum length in a set determined by the intersection of a finite collection of balls is studied. Sufficient conditions for the problem to be solvable by non-combinatoric methods are ...
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