Stochastic Optimal Power Flow in Hybrid Power System Using Reduced-Discrete Point Estimation Method and Latin Hypercube Sampling Flux de puissance stochastique optimal dans un sysème électrique hybride à l'aide de la méthode d'estimation du point discret réduit et de l'échantillonnage de l'hypercube latin

2021 ◽  
pp. 1-5
Author(s):  
Reza Taghavi ◽  
Haidar Samet ◽  
Ali Reza Seifi ◽  
Ziad M. Ali
Keyword(s):  
Power System ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Estimation Method ◽  
Latin Hypercube Sampling ◽  
Point Estimation ◽  
Discrete Point ◽  
Hybrid Power ◽  
Optimal Power ◽  
Point Estimation Method

scholarly journals A Bio-inspired Heuristic Algorithm for Solving Optimal Power Flow Problem in Hybrid Power System

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Manzoor Ahmad ◽  
Nadeem Javaid ◽  
Iftikhar Azim Niaz ◽  
Ahmad Almogren ◽  
Ayman Radwan
Keyword(s):  
Power System ◽  
Heuristic Algorithm ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Flow Problem ◽  
Hybrid Power System ◽  
Hybrid Power ◽  
Optimal Power ◽  
Power Flow Problem

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

scholarly journals Probabilistic Optimal Power Flow for Day-Ahead Dispatching of Power Systems with High-Proportion Renewable Power Sources

2020 ◽  
Vol 12 (2) ◽  
pp. 518
Author(s):  
Yue Chen ◽  
Zhizhong Guo ◽  
Hongbo Li ◽  
Yi Yang ◽  
Abebe Tilahun Tadie ◽  
...  
Keyword(s):  
Power Systems ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Test System ◽  
Power Sources ◽  
Renewable Power ◽  
Point Estimate Method ◽  
Optimal Power ◽  
Simulation Results ◽  
Point Estimation Method

With the increasing proportion of uncertain power sources in the power grid; such as wind and solar power sources; the probabilistic optimal power flow (POPF) is more suitable for the steady state analysis (SSA) of power systems with high proportions of renewable power sources (PSHPRPSs). Moreover; PSHPRPSs have large uncertain power generation prediction error in day-ahead dispatching; which is accommodated by real-time dispatching and automatic generation control (AGC). In summary; this paper proposes a once-iterative probabilistic optimal power flow (OIPOPF) method for the SSA of day-ahead dispatching in PSHPRPSs. To verify the feasibility of the OIPOPF model and its solution algorithm; the OIPOPF was applied to a modified Institute of Electrical and Electronic Engineers (IEEE) 39-bus test system and modified IEEE 300-bus test system. Based on a comparison between the simulation results of the OIPOPF and AC power flow models; the OIPOPF model was found to ensure the accuracy of the power flow results and simplify the power flow model. The OIPOPF was solved using the point estimate method based on Gram–Charlier expansion; and the numerical characteristics of the line power were obtained. Compared with the simulation results of the Monte Carlo method; the point estimation method based on Gram–Charlier expansion can accurately solve the proposed OIPOPF model

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