Effect of Detailed Power System Models in Traditional and Voltage Stability Constrained Optimal Power Flow Problems

In this paper, a hybrid optimization algorithm is proposed to solve multiobjective optimal power flow problems (MO-OPF) in a power system. The hybrid algorithm, named DA-PSO, combines the frameworks of the dragonfly algorithm (DA) and particle swarm optimization (PSO) to find the optimized solutions for the power system. The hybrid algorithm adopts the exploration and exploitation phases of the DA and PSO algorithms, respectively, and was implemented to solve the MO-OPF problem. The objective functions of the OPF were minimization of fuel cost, emissions, and transmission losses. The standard IEEE 30-bus and 57-bus systems were employed to investigate the performance of the proposed algorithm. The simulation results were compared with those in the literature to show the superiority of the proposed algorithm over several other algorithms; however, the time computation of DA-PSO is slower than DA and PSO due to the sequential computation of DA and PSO.

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Trajectory Sensitivity Based Voltage Stability Constrained Reactive Optimal Power Flow in Sending-End Power System with High Penetration Renewable Energy

2020 12th IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC) ◽

10.1109/appeec48164.2020.9220481 ◽

2020 ◽

Author(s):

Ziqiang Zou ◽

Jinquan Zhao ◽

Ersheng Pan ◽

Decao Xu ◽

Ling Dong

Keyword(s):

Renewable Energy ◽

Power System ◽

Power Flow ◽

Optimal Power Flow ◽

Voltage Stability ◽

Trajectory Sensitivity ◽

Optimal Power ◽

High Penetration

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Transient Stability Constrained Optimal Power Flow Based on Multi-time Scale Power System Models

Journal of Control Automation and Electrical Systems ◽

10.1007/s40313-017-0304-4 ◽

2017 ◽

Vol 28 (3) ◽

pp. 418-427

Author(s):

Kamile Fuchs ◽

Roman Kuiava ◽

Thelma S. P. Fernandes ◽

Pedro A. B. Block ◽

Raphael Augusto de Souza Benedito

Keyword(s):

Power System ◽

Time Scale ◽

Power Flow ◽

Optimal Power Flow ◽

Transient Stability ◽

System Models ◽

Optimal Power

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Adaptive Unified Differential Evolution Algorithm for Optimal Operation of Power Systems with Static Security, Transient Stability and Statcom Device

International Journal of Recent Technology and Engineering - 2 ◽

10.35940/ijrte.d8084.118419 ◽

2019 ◽

Vol 8 (4) ◽

pp. 3309-3324

Keyword(s):

Power Systems ◽

Power System ◽

Differential Evolution ◽

Power Flow ◽

Optimal Power Flow ◽

Voltage Stability ◽

Transient Stability ◽

Generator System ◽

Optimal Power ◽

Voltage Transient

The complexity of a power system operating with transient stability/security constraints increases with increased interconnection of power transmission networks. Many of the power system’s secure operations are affected with the voltage/transient instability problems. Thereby, the modern power systems have considered solving optimal power flow (OPF) problems using voltage/transient stability constraints as a tedious and challenging task. Algebraic and differential equations of the voltage/stability constraints are included in non-linear optimal power flow optimization problems. In this work, the OPF problems with voltage/stability constraints are solved using a newly developed reliable and robust technique. Moreover, the impact of a FACTS device such as STATCOM device was investigated to test its impact in the enhancement of power system performance. An adaptive unified differential evolution (AuDE) technique is proposed to search in the non-convex and nonlinear problems to obtain the global optimal solutions. Compared to other existing methods and basic DE, the proposed AuDE algorithm has achieved better results under simulation conditions. The power system’s performance is considerably enhanced with STATCOM device. Efficiency of the proposed method in solving the transient and security constrained power systems for optimal operations were demonstrated using the numerical results obtained from IEEE 39-bus, 10-generator system and IEEE 30-bus, 6-generator system. Due to page limitation only 30-bus systems results are presented.

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