Maximum loadability of power systems using interior point nonlinear optimization method

Irisarri, G.D.; Wang, X.; Tong, Jiarong; Mokhtari, Soroush

doi:10.1109/59.574936

Cited by 256 publications

(128 citation statements)

References 6 publications

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“…IPM [7,8] has been successfully applied for nearly two decades to various OPF problems [9][10][11][12][13]. The main advantages of the IPM are: (i) ease of handling inequality constraints by logarithmic barrier functions, (ii) speed of convergence, and (iii) a strictly feasible initial point is not required.…”

Section: Introductionmentioning

confidence: 99%

Experiments with the interior-point method for solving large scale Optimal Power Flow problems

Capitanescu

Wehenkel

2013

Electric Power Systems Research

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This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and education use, including for instruction at the authors institution and sharing with colleagues. and Security-Constrained Optimal Power Flow (SCOPF) problems. The paper discusses transparently the problems encountered such as convergence reliability and speed issues of the method.

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Section: Introductionmentioning

confidence: 99%

Experiments with the interior-point method for solving large scale Optimal Power Flow problems

Capitanescu

Wehenkel

2013

Electric Power Systems Research

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“…An interior point method (IPM) has been reformulated and adapted to solve such a nonlinear problem. In fact, the IPM has been widely used to solve problems like the optimal power flow for large-scale systems [14], load ability maximization [15], voltage stability analysis [16], and security-constrained economic dispatch [17]. The IPM can be employed to solve TEP as a NLP problem that should be solved in each step of the ECHA.…”

Section: Introductionmentioning

confidence: 99%

An implementation of AC model to transmission expansion planning considering reliability constraints

MAHMOUDABAD¹

2013

Turk J Elec Eng & Comp Sci

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Abstract:In this paper, a hybrid heuristic methodology that employs fuzzy logic for solving the AC transmission network expansion planning (AC-TEP) problem is presented. An enhanced constructive heuristic algorithm aimed at obtaining a significant quality solution for such complicated problems considering contingency is proposed. In order to indicate the severity of the contingency, 2 performance indices, namely the line flow performance index and voltage performance index, are calculated. An interior point method is applied as a nonlinear programming solver to handle such nonconvex optimization problems, while the objective function includes the costs of the new transmission lines as well as the real power losses. The performance of the proposed method is examined by applying it to the well-known Garver system for different cases. The simulation studies and result analysis demonstrate that the proposed method provides a promising way to find an optimal plan. Obtaining the best quality solution shows the capability and the viability of the proposed algorithm in AC-TEP.

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“…But the divergence problem is still not solved. In reference [37] maximum loadability is obtained by applying the interior point method which includes all the relevant constraints. The solvability and robustness of the algorithm is guaranteed by the predictor-corrector method used in the maximum loadability calculation.…”

Section: Voltage and Oscillatory Stability Margin Tracing Under Varyimentioning

confidence: 99%

“…The OPF formulation emphasizes the optimal adjustment of generation and load under constraints. Recently, the two approaches mentioned above were merged into the unified direct interior point algorithm [35][36][37].…”

Section: Cost Based Maximum Loadability Problemmentioning

confidence: 99%

“…With the linear formulation of the optimization problem, the power flow equations are largely simplified so that the voltage/oscillatory stability problem is hard to identify. With the recently introduced interior point algorithm, the maximum loadability can be formulated as a static nonlinear optimization problem [37]. The maximum loadability problem is parameterized by a scalar load parameter corresponding to the certain load increase scenario.…”

Section: Cost Based Maximum Loadability Problemmentioning

confidence: 99%

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Interior point based optimal voltage stability, oscillatory stability and ATC margin boundary tracing

Zhou

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Maximum loadability of power systems using interior point nonlinear optimization method

Cited by 256 publications

References 6 publications

Experiments with the interior-point method for solving large scale Optimal Power Flow problems

Experiments with the interior-point method for solving large scale Optimal Power Flow problems

An implementation of AC model to transmission expansion planning considering reliability constraints

Interior point based optimal voltage stability, oscillatory stability and ATC margin boundary tracing

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