Results 261 to 270 of about 297,930 (301)
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2021
This chapter gives detail of the OPF optimization problem, with the aim of minimizing the operational system costs and locating an optimal generation schedule while satisfying grid constraints. The chapter shows the effective usage of OPF for system planning and generation scheduling.
Nnamdi Nwulu, Saheed Lekan Gbadamosi
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This chapter gives detail of the OPF optimization problem, with the aim of minimizing the operational system costs and locating an optimal generation schedule while satisfying grid constraints. The chapter shows the effective usage of OPF for system planning and generation scheduling.
Nnamdi Nwulu, Saheed Lekan Gbadamosi
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2017
This chapter describes the optimal power flow problem. The objective of this problem is to find out the active and reactive power dispatch (output) of every generating unit in a power system that is needed to supply all loads at minimum cost, while satisfying network and technical constraints.
Antonio J. Conejo, Luis Baringo
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This chapter describes the optimal power flow problem. The objective of this problem is to find out the active and reactive power dispatch (output) of every generating unit in a power system that is needed to supply all loads at minimum cost, while satisfying network and technical constraints.
Antonio J. Conejo, Luis Baringo
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2002
In the load flow analysis problem, generator voltage magnitudes, active power generation (except for the slack bus), and P and Q loads at all the busses is known beforehand. Consequently, to determine the power system state, we have to solve 2n - g - 1 equations in as many unknowns, where n is the number of busses in the system and g is the number of ...
S. A. Soman +2 more
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In the load flow analysis problem, generator voltage magnitudes, active power generation (except for the slack bus), and P and Q loads at all the busses is known beforehand. Consequently, to determine the power system state, we have to solve 2n - g - 1 equations in as many unknowns, where n is the number of busses in the system and g is the number of ...
S. A. Soman +2 more
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Chemical Reaction Optimization for the optimal power flow problem
2012 IEEE Congress on Evolutionary Computation, 2012This paper presents an implementation of the Chemical Reaction Optimization (CRO) algorithm to solve the optimal power flow (OPF) problem in power systems with the objective of minimizing generation costs. Multiple constraints, such as the balance of the power, bus voltage magnitude limits, transmission line flow limits, transformer tap settings, etc.,
Yi Sun +4 more
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A knowledge-based framework for power flow and optimal power flow analyses
2017 IEEE Power & Energy Society General Meeting, 2017This paper proposes the application of formal methods for knowledge discovery from large quantity of data to reduce the complexity of Power Flow (PF) and Optimal Power Flow (OPF) problems. In particular, a knowledge-based paradigm for PF and OPF analyses is used to extract complex features, hidden relationships, and useful hypotheses potentially ...
Alfredo Vaccaro, Claudio A. Cañizares
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2011
The objectives of this chapter are Studying the load flow problem and representing the difference between the conventional load flow and the optimal load flow (OPF) problem Introducing the different states used in formulating the OPF Studying the multiobjective optimal power flow problem Introducing the particle swarm optimization algorithm as a tool ...
Soliman Abdel-Hady Soliman +1 more
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The objectives of this chapter are Studying the load flow problem and representing the difference between the conventional load flow and the optimal load flow (OPF) problem Introducing the different states used in formulating the OPF Studying the multiobjective optimal power flow problem Introducing the particle swarm optimization algorithm as a tool ...
Soliman Abdel-Hady Soliman +1 more
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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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Optimal power flow via quadratic power flow
2011 IEEE/PES Power Systems Conference and Exposition, 2011This paper proposes an optimal power flow (OPF) algorithm based on quadratic modeling and incremental loading of the network. The proposed OPF algorithm is robust and highly efficient for large-scale power systems. Robustness is achieved by the design of the algorithm to operate on infeasible but optimal points and move towards the feasible and optimal
Ye Tao, A. P. Sakis Meliopoulos
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Optimal Power Flow With Complementarity Constraints
IEEE Transactions on Power Systems, 2005This paper proposes a mathematical program with complementarity constraints to better model the relationship between the base, or current, operating point and the maximum loading point in a power system when solving maximum loading problems.
William Rosehart +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.
openaire +2 more sources