scholarly journals Realistic Optimal Power Flow of a Wind-Connected Power System With Enhanced Wind Speed Model

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 176973-176985
Author(s):  
Saher Albatran ◽  
Salman Harasis ◽  
Muwaffaq Ialomoush ◽  
Yazan Alsmadi ◽  
Mohammad Awawdeh
Keyword(s):  
Wind Speed ◽  
Power System ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Optimal Power

scholarly journals Optimal Power Flow Solution of Wind-Integrated Power System Using Novel Metaheuristic Method

Energies ◽  
2021 ◽  
Vol 14 (19) ◽  
pp. 6117
Author(s):  
Amr Khaled Khamees ◽  
Almoataz Y. Abdelaziz ◽  
Makram R. Eskaros ◽  
Adel El-Shahat ◽  
Mahmoud A. Attia
Keyword(s):  
Wind Speed ◽  
Power System ◽  
Wind Energy ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Wind Farm ◽  
Wind Farms ◽  
Energy System ◽  
Optimal Power ◽  
Metaheuristic Methods

Wind energy is particularly significant in the power system today since it is a cheap and clean power source. The unpredictability of wind speed leads to uncertainty in devolved power which increases the difficulty in wind energy system operation. This paper presents a stochastic optimal power flow (SCOPF) for obtaining the best scheduled power from wind farms while lowering total operational costs. A novel metaheuristics method called Aquila Optimizer (AO) is used to address the SCOPF problem due to its highly nonconvex and nonlinear nature. Wind speed is represented by the Weibull probability distribution function (PDF), which is used to anticipate the cost of wind-generated power from a wind farm based on scheduled power. Weibull parameters that provide the best match to wind data are estimated using the AO approach. The suggested wind generation cost model includes the opportunity costs of wind power underestimation and overestimation. Three IEEE systems (30, 57, and 118) are utilized to solve optimal power flow (OPF) using the AO method to prove the accuracy of this method, and results are compared with other metaheuristic methods. With six scenarios for the penalty and reverse cost coefficients, SCOPF is applied to a modified IEEE-30 bus system with two wind farms to obtain the optimal scheduled power from the two wind farms which reduces total operation cost.

Comparative analysis of a new VSC‐optimal power flow formulation for power system security planning

2020 ◽  
Vol 30 (3) ◽  
Author(s):  
Oludamilare Bode Adewuyi ◽  
Harun Or Rashid Howlader ◽  
Isaiah Opeyemi Olaniyi ◽  
David Abdul Konneh ◽  
Tomonobu Senjyu
Keyword(s):  
Comparative Analysis ◽  
Power System ◽  
Power Flow ◽  
Optimal Power Flow ◽  
System Security ◽  
Power System Security ◽  
Optimal Power ◽  
Security Planning

Integration of Power System Real-Time Digital Simulator and Optimal Power Flow

2012 ◽  
Vol 590 ◽  
pp. 195-200
Author(s):  
Meng Jen Chen ◽  
Yu Chi Wu ◽  
Wen Shiush Chen ◽  
Pei Wei Huang ◽  
Tsung Wei Tsai
Keyword(s):  
Steady State ◽  
Power System ◽  
Real Time ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Optimal Power ◽  
Communication Architectures ◽  
Analog Channels ◽  
Real Time Digital Simulator ◽  
Steady State Performance

In this paper, a framework for integrating a real-time digital simulator and EMS-OPF program is proposed and addressed, through two different communication architectures: asynchronous and synchronous. Validation of these communication architectures is carried out by Ethernet UDP/IP (asynchronous) and analog channels of IO card (synchronous). With this framework, both dynamic and steady-state performance of a power system can be studied easily in real-time mode.

Modeling and investigation of harmonic losses in optimal power flow and power system locational marginal pricing

Energy ◽  
2014 ◽  
Vol 68 ◽  
pp. 140-147 ◽  
Author(s):  
Hadi Norouzi ◽  
Sajjad Abedi ◽  
Reza Jamalzadeh ◽  
Milad Ghiasi Rad ◽  
Seyed Hossein Hosseinian
Keyword(s):  
Power System ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Locational Marginal Pricing ◽  
Marginal Pricing ◽  
Optimal Power

Optimal Power Flow Based Economic Generation Scheduling in Day-ahead Power Market

2017 ◽  
Vol 6 (3) ◽  
pp. 124
Author(s):  
Kshitij Choudhary ◽  
Rahul Kumar ◽  
Dheeresh Upadhyay ◽  
Brijesh Singh
Keyword(s):  
Power System ◽  
Electricity Market ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Congestion Management ◽  
Test Results ◽  
Loss Minimization ◽  
Optimal Power ◽  
Generation Scheduling ◽  
Generation Cost

The present work deals with the economic rescheduling of the generation in an hour-ahead electricity market. The schedules of various generators in a power system have been optimizing according to active power demand bids by various load buses. In this work, various aspects of power system such as congestion management, voltage stabilization and loss minimization have also taken into consideration for the achievement of the goal. The interior point (IP) based optimal power flow (OPF) methodology has been used to obtain the optimal generation schedule for economic system operation. The IP based OPF methodology has been tested on a modified IEEE-30 bus system. The obtained test results shows that not only the generation cost is reduced also the performance of power system has been improved using proposed methodology.

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