Fast Cumulant Method for Probabilistic Power Flow Considering the Nonlinear Relationship of Wind Power Generation

2020 ◽  
Vol 35 (4) ◽  
pp. 2537-2548
Author(s):  
Chaofan Lin ◽  
Zhaohong Bie ◽  
Chaoqiong Pan ◽  
Shiyu Liu
Keyword(s):  
Power Generation ◽  
Wind Power ◽  
Power Flow ◽  
Wind Power Generation ◽  
Nonlinear Relationship ◽  
Cumulant Method ◽  
Probabilistic Power Flow ◽  
Relationship Of

scholarly journals Static Stability Analysis Based on Probabilistic Power Flow Calculation considering P2G Technology

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Jia Yao ◽  
Yujia Huang ◽  
Jingwei Hu
Keyword(s):  
Power Generation ◽  
Renewable Energy ◽  
Stability Analysis ◽  
Probability Distribution ◽  
Wind Power ◽  
Power Flow ◽  
Static Stability ◽  
Wind Power Generation ◽  
Photovoltaic Power ◽  
Probabilistic Power Flow

At present, integrated energy systems have received extensive attention, but there is no basic framework for stability analysis of coupled systems. The injection of a large amount of renewable energy also has a great impact on the stability of the system. This paper focuses on how to analyze the static stability of the coupling system with uncertainty, which mainly considers the uncertainty of wind power generation and photovoltaic power generation and also considers the influence of P2G technology on the whole system. Firstly, this paper analyzes the principles of wind power generation and photovoltaic power generation and constructs the probability model of renewable energy power generation power. Then, the three-point estimation method is used to process the data, and the probability distribution of the unknown quantity is obtained by probabilistic power flow analysis. Finally, the probability distribution of each eigenvalue is obtained by analyzing the sensitivity of the characteristic roots to the voltage. Thus, the static stability of the system is judged. The applicability of proposed methodology is demonstrated by analyzing an integrated IEEE 14-bus power system and a Belgian 20-node gas system in this paper.

scholarly journals Improvement of Power Quality Considering Voltage Stability in Grid Connected System by FACTS Devices

2013 ◽  
pp. 182-187
Author(s):  
Sarika D. Patil
Keyword(s):  
Power Generation ◽  
Wind Power ◽  
Power Flow ◽  
Voltage Stability ◽  
Low Voltage ◽  
Wind Power Generation ◽  
Voltage Source ◽  
Voltage Source Converter ◽  
Induction Generators ◽  
Facts Devices

Recently the wind power generation has attracted special interest and many wind power stations are being in service in the world. In the wind turbine that mostly uses induction generators, tend to drain large amounts of Vars from the grid, potentially causing low voltage and may be voltage stability problems for the utility owner, especially in the case of large load variation on distribution feeder. Voltage-source converter based various FACTS devices have been used for flexible power flow control, secure loading and damping of power system oscillations. Some of those are used also to improve transient and dynamic stability of the wind power generation (WPGS).

Unbiased optimal power flow for power systems with wind power generation

2014 ◽  
Vol 50 (18) ◽  
pp. 1312-1314 ◽  
Author(s):  
S.J. Plathottam ◽  
P. Ranganathan ◽  
H. Salehfar
Keyword(s):  
Power Generation ◽  
Power Systems ◽  
Wind Power ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Wind Power Generation ◽  
Optimal Power

scholarly journals Optimal Power Flow Incorporating FACTS Devices and Stochastic Wind Power Generation Using Krill Herd Algorithm

Electronics ◽  
2020 ◽  
Vol 9 (6) ◽  
pp. 1043 ◽  
Author(s):  
Arsalan Abdollahi ◽  
Ali Ghadimi ◽  
Mohammad Miveh ◽  
Fazel Mohammadi ◽  
Francisco Jurado
Keyword(s):  
Power Generation ◽  
Power Systems ◽  
Wind Power ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Wind Power Generation ◽  
Krill Herd Algorithm ◽  
Facts Devices ◽  
Optimal Power ◽  
Krill Herd

This paper deals with investigating the Optimal Power Flow (OPF) solution of power systems considering Flexible AC Transmission Systems (FACTS) devices and wind power generation under uncertainty. The Krill Herd Algorithm (KHA), as a new meta-heuristic approach, is employed to cope with the OPF problem of power systems, incorporating FACTS devices and stochastic wind power generation. The wind power uncertainty is included in the optimization problem using Weibull probability density function modeling to determine the optimal values of decision variables. Various objective functions, including minimization of fuel cost, active power losses across transmission lines, emission, and Combined Economic and Environmental Costs (CEEC), are separately formulated to solve the OPF considering FACTS devices and stochastic wind power generation. The effectiveness of the KHA approach is investigated on modified IEEE-30 bus and IEEE-57 bus test systems and compared with other conventional methods available in the literature.

Sign in / Sign up

Export Citation Format

Share Document