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Power flow analysis using optimal power flow method
2015 International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS), 2015Throughout the entire world, the electric power industry has undergone a considerable change in the past decade and will continue to do so for the next several decades. In the past the electric power industry has been either a government-controlled or a government-regulated industry which existed as a monopoly in its service region.
K. A. Dongre, A. P. Bhagat
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1988
In the basic load flow problem, the so-called control variables are specified, permitting the feasibility of solution. We recall that the control variables consist of real power generation at all generation busses except the slack bus, and voltage magnitudes at all generation busses. The specification of these control variables is not arbitrary.
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In the basic load flow problem, the so-called control variables are specified, permitting the feasibility of solution. We recall that the control variables consist of real power generation at all generation busses except the slack bus, and voltage magnitudes at all generation busses. The specification of these control variables is not arbitrary.
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Probabilistic optimal power flow
Conference Proceedings. IEEE Canadian Conference on Electrical and Computer Engineering (Cat. No.98TH8341), 2002This paper presents a new formulation and solution approach to a probabilistic optimal power flow (POPF) problem. In this formulation, system demand is taken as a random vector of correlated variables, which allows us to consider the dependence between load types and locations. The POPF is clearly formulated and the optimality conditions are considered
M. Madrigal +2 more
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2015
One of the important tools for power system planning and operation is the optimal power flow (OPF). It is a power flow problem in which some control variables are adjusted to minimise or maximise an objective function, while satisfying physical and operating limits as constraints on various controls, dependent variables and functions of variables.
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One of the important tools for power system planning and operation is the optimal power flow (OPF). It is a power flow problem in which some control variables are adjusted to minimise or maximise an objective function, while satisfying physical and operating limits as constraints on various controls, dependent variables and functions of variables.
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Optimal continuation power flow
Electric Power Systems Research, 1995The objective of this paper is to develop an algorithm for tracing the optima of equality and inequality constrained optimal power flow as a function of the load parameter. Although available optimization techniques can determine an optimal power flow solution for a fixed load, often the effects of change in load parameter on the optima for a wide ...
Venkataramana Ajjarapu, Nirlesh Jain
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IEEE Transactions on Power Apparatus and Systems, 1968
A practical method is given for solving the power flow problem with control variables such as real and reactive power and transformer ratios automatically adjusted to minimize instantaneous costs or losses. The solution is feasible with respect to constraints on control variables and dependent variables such as load voltages, reactive sources, and tie ...
Hermann Dommel, William Tinney
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A practical method is given for solving the power flow problem with control variables such as real and reactive power and transformer ratios automatically adjusted to minimize instantaneous costs or losses. The solution is feasible with respect to constraints on control variables and dependent variables such as load voltages, reactive sources, and tie ...
Hermann Dommel, William Tinney
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2007
An optimal power flow (OPF) function schedules the power system controls to optimize an objective function while satisfying a set of nonlinear equality and inequality constraints. The equality constraints are the conventional power flow equations; the inequality constraints are the limits on the control and operating variables of the system ...
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An optimal power flow (OPF) function schedules the power system controls to optimize an objective function while satisfying a set of nonlinear equality and inequality constraints. The equality constraints are the conventional power flow equations; the inequality constraints are the limits on the control and operating variables of the system ...
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1991
The ordinary power flow or load flow problem is stated by specifying the loads in megawatts and megavars to be supplied at certain nodes or busbars of a transmission system and by the generated powers and the voltage magnitudes at the remaining nodes of this system together with a complete topological description of the system including its impedances.
Hans Glavitsch, Rainer Bacher
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The ordinary power flow or load flow problem is stated by specifying the loads in megawatts and megavars to be supplied at certain nodes or busbars of a transmission system and by the generated powers and the voltage magnitudes at the remaining nodes of this system together with a complete topological description of the system including its impedances.
Hans Glavitsch, Rainer Bacher
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Optimal Power Flow By Newton Approach
IEEE Transactions on Power Apparatus and Systems, 1984The classical optimal power flow problem with a nonseparable objective function can be solved by an explicit Newton approach. Efficient, robust solutions can be obtained for problems of any practical size or kind. Solution effort is approximately proportional to network size, and is relatively independent of the number of controls or binding ...
David I. Sun +4 more
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Intelligent optimization techniques for optimal power flow using Interline Power Flow Controller
2010 IEEE International Conference on Power and Energy, 2010In this paper the control parameters of voltage source converters used in Interline Power Flow Controller (IPFC) are designed to realize optimal power flow in a power system with modified Newton-Raphson method. The optimal control parameters are derived to minimize the transmission line losses employing three intelligent optimization techniques, namely
Khalid. H. Mohamed, K. S. Rama Rao
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