An optimized de ence plan or a power system

El-werfelli, M.; Brooks, J.; Dunn, R.W.

doi:10.1109/upec.2008.4651470

Cited by 2 publications

(2 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The proposed structure of the GA chromosomes is shown in Figure 3. See [14] for more details about GA. Figure 4 illustrates the flow diagram of the proposed scenario based OPF using GA. LS 1 LS 2 LS 3 … LS 37 LS 38 LS 39 Figure 3. GA chromosome structure…”

Section: Scenario Based Opf Using Genetic Algorithm (Ga)mentioning

confidence: 99%

Application of Neural Networks to Secure Scenario Based OPF of Power Systems Considering Transient Stability Criterion

Sardou¹,

Abedi²,

Ghodsi³

et al. 2015

ijeei

View full text Add to dashboard Cite

In this paper, a scenario based optimal power flow (OPF) is presented considering economic (operation cost minimization) and security objective functions. Security objective functions include both reliability and system transient stability improvement. Energy not supplied (ENS) cost is considered as the criterion for system reliability and critical clearing time (CCT) is considered as the criterion for power system dynamic stability. In order to reduce the computational burden of the proposed method, off-line training of neural network is used to determine CCT based on the system operating point. For this purpose, CCT parameter is calculated in Dig silent Software environment for various operating points of system and a data set is obtained to train neural network. In the proposed method, it is tried to improve dynamic stability of system, as well as decreasing the operation cost in post contingency state through optimal load shedding and generation rescheduling. Genetic algorithm (GA) is used as the optimization tool. The proposed framework is tested on IEEE 39-bus test system and results show efficiency of the proposed method.

show abstract

Section: Scenario Based Opf Using Genetic Algorithm (Ga)mentioning

confidence: 99%

Application of Neural Networks to Secure Scenario Based OPF of Power Systems Considering Transient Stability Criterion

Sardou¹,

Abedi²,

Ghodsi³

et al. 2015

ijeei

View full text Add to dashboard Cite

show abstract

“…SIPS are commonly referred to as remedial action schemes (RAS) or special protection systems (SPS) that were being widely employed. For example, SPS features in optimized defense plan against bus-bar faults at some substations [9], maximizing scheduling generation capacity : Smart grid milestone and group goals in TPC. A1: stability and reliability enhancement,A2: intelligent operation, A3: application on advanced power electronics devices,A4: preventive maintenance technology, B1: generator efficiency, B2: grid efficiency, B3: operation efficiency, C1: smart meter and billing, C2: valueadded service, D1: DR prediction and operationD2: DR integration.…”

Section: Introductionmentioning

confidence: 99%

System Simulation and Implementation of SIPS in Taiwan

Chen

Tsai

Chen

2014

Mathematical Problems in Engineering

View full text Add to dashboard Cite

This study describes the system simulation and implementation of the system integrity protection schemes (SIPS) in an independent, intensive, and island-type power system. It also elucidates a smart grid plan to provide grid security in this power grid. The proposed SIPS can prevent blackouts that could otherwise result from the transient instability of N-3 contingencies and has been fully implemented and operated. The entire SIPS installation comprises two stages. The first-stage SIPS takes generator tripping system simulation and the second-stage SIPS involves generator tripping, load rejection, and bus-tie switching countermeasures. The proposed SIPS can prevent isolated power system blackout from extreme contingencies system and provide a valuable system simulation experience for similar independent power grids.

show abstract

An optimized de ence plan or a power system

Cited by 2 publications

References 9 publications

Application of Neural Networks to Secure Scenario Based OPF of Power Systems Considering Transient Stability Criterion

Application of Neural Networks to Secure Scenario Based OPF of Power Systems Considering Transient Stability Criterion

System Simulation and Implementation of SIPS in Taiwan

Contact Info

Product

Resources

About