Optimal power flow solution with multi-contingency transient stability constraints

Yuan, Yue; Kubokawa, Junji; Sasaki, Hiroshi

doi:10.1109/icpst.2002.1047133

Cited by 14 publications

(18 citation statements)

References 8 publications

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“…This representation allows the reduction of the admittance matrix during the transient period, only representing the internal nodes of the synchronous generators. The representation of all loads as passive impedances is one of the common simplifications applied in TSC-OPF [5,9,10,12], because it significantly reduces the number of equations. The output power of the ith generator can then be expressed as…”

Section: Transient Stability Modelmentioning

confidence: 99%

“…In this equation, the matrix Y red is a reduced matrix, including only the internal nodes of the generators. In the fault and post-fault periods, all the loads of the system are represented as passive impedances, allowing the use of the Kron reduction method [4,9,10,12] and drastically reducing the number of equations. It must be stressed that the Kron reduction does not require any other approximation in the representation of the system.…”

Section: Formulation Of the Tsc-opf Problemmentioning

confidence: 99%

“…The classical generator model is commonly used in the state of the art TSC-OPF [8][9][10][11][12]. This model is a compromise between adequate dynamic representation and computational burden.…”

Section: Transient Stability Modelmentioning

confidence: 99%

“…For the algorithm to be solved, the OPF constraints, stability equations and objective function must be linearised. The authors of [9] and [10] propose the resolution of a multi-contingency TSC-OPF problem, including the temporal representation of the dynamical equations in the optimisation problem. To obtain the solution, a specifically modified algorithm of the Primal-Dual Interior-Point method is used.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Optimal re-dispatch of an isolated system considering transient stability constraints

Calle

Castronuovo

Ledesma

2013

International Journal of Electrical Power & Energy Systems

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Section: Transient Stability Modelmentioning

confidence: 99%

Section: Formulation Of the Tsc-opf Problemmentioning

confidence: 99%

Section: Transient Stability Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Optimal re-dispatch of an isolated system considering transient stability constraints

Calle

Castronuovo

Ledesma

2013

International Journal of Electrical Power & Energy Systems

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“…In general, the stability boundary of a smooth dynamic system is composed of trajectories [5,6], which are very difficult to find. To overcome this difficulty, several alternative solution concepts have been suggested in [3,4,[7][8][9][10][11][12][13][14][15][16], and the references cited therein.…”

Section: Introductionmentioning

confidence: 99%

Enhancements to Stability Constrained OPF to Overcome Sub-optimality

Gan

Chattopadhyay²,

Luo³

2005

Electric Power Components and Systems

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This article revisits the stability constrained optimal power flow (SOPF) model originally developed by the authors. One of the limitations of the SOPF model is that the representation of angular stability rests on assumptions that can lead to a suboptimal dispatch outcome. The present research enhances the SOPF model to improve upon the quality of the solution. This article demonstrates that the feasible set of a stability-constrained optimal power flow problem can be open and hence the optimal solution may not exist. The article then reviews a step-by-step integration (SBSI) based approach which has the limitation of yielding sub-optimal solutions. A primary objective of the present research is to introduce two algorithms that can be used to find an improved solution, starting with a sub-optimal solution. Finally, the article also discusses several implementation issues including the concepts for dealing with multiple contingencies. Numerical examples are presented to illustrate the methodological aspects.

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A new method of evaluating robust power system security against uncertainties

Yorino

Abdillah

Isoya

et al. 2015

IEEJ Transactions Elec Engng

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The rapid expansion of renewable energy (RE) generation is leading to severe problems related to the reliability of network operation. Power system security is threatened by increased uncertainties of RE outputs and reduced controllable resources. Therefore, it is important to evaluate the robustness of the system controllability in order to preserve system security against uncertainties of RE outputs. We refer to the robustness of the system in this context as ‘robust power system security’. This paper proposes a new formulation for evaluating the robust security region in controllable parameter space where the conventional N‐1 security criterion suffices in the presence of uncertainties. We specify the confidence interval (CI) of uncertain parameters and obtain the worst case feasible region defined by a set of security constraints, which is a very new approach in the treatment of uncertainties. We use the minimum set of static constraints in the load dispatching problem with CI of RE prediction to evaluate the security region, which is referred to as the robust static security region (RSS) in this paper. The proposed method is useful to assess the degree of difficulty of system planning and operation from the viewpoint of the balance between controllable generator capacity and RE uncertainties. © 2015 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.

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Optimal power flow solution with multi-contingency transient stability constraints

Cited by 14 publications

References 8 publications

Optimal re-dispatch of an isolated system considering transient stability constraints

Optimal re-dispatch of an isolated system considering transient stability constraints

Enhancements to Stability Constrained OPF to Overcome Sub-optimality

A new method of evaluating robust power system security against uncertainties

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