scholarly journals An Experimental Investigation of FNN Model for Wind Speed Forecasting Using EEMD and CS

2015 ◽  
Vol 2015 ◽  
pp. 1-13 ◽  
Author(s):  
Jianzhou Wang ◽  
Haiyan Jiang ◽  
Bohui Han ◽  
Qingping Zhou
Keyword(s):  
Wind Speed ◽  
Power System ◽  
Wind Power ◽  
Wind Farm ◽  
Frequency Noise ◽  
Wind Speed Forecasting ◽  
System A ◽  
Wind Power System ◽  
And Performance ◽  
Using Data

With depletion of traditional energy and increasing environmental problems, wind energy, as an alternative renewable energy, has drawn more and more attention internationally. Meanwhile, wind is plentiful, clean, and environmentally friendly; moreover, its speed is a very important piece of information needed in the operations and planning of the wind power system. Therefore, choosing an effective forecasting model with good performance plays a quite significant role in wind power system. A hybrid CS-EEMD-FNN model is firstly proposed in this paper for multistep ahead prediction of wind speed, in which EEMD is employed as a data-cleaning method that aims to remove the high frequency noise embedded in the wind speed series. CS optimization algorithm is used to select the best parameters in the FNN model. In order to evaluate the effectiveness and performance of the proposed hybrid model, three other short-term wind speed forecasting models, namely, FNN model, EEMD-FNN model, and CS-FNN model, are carried out to forecast wind speed using data measured at a typical site in Shandong wind farm, China, over three seasons in 2011. Experimental results demonstrate that the developed hybrid CS-EEMD-FNN model outperforms other models with more accuracy, which is suitable to wind speed forecasting in this area.

Reliability Assessment of Wind Power System Considering Multi-Objective Models

2012 ◽  
Vol 608-609 ◽  
pp. 742-747
Author(s):  
Chun Hong Zhao ◽  
Lian Guang Liu ◽  
Zi Fa Liu ◽  
Ying Chen
Keyword(s):  
Wind Speed ◽  
Power System ◽  
Wind Power ◽  
System Reliability ◽  
Wind Farm ◽  
Wind Farms ◽  
Test System ◽  
Power System Reliability ◽  
Multi Objective ◽  
Wind Power System

The integration of wind farms has a significant impact on the power system reliability. An appropriate model used to assess wind power system reliability is needed. Establishing multi-objective models (wind speed model, wind turbine generator output model and wind farm equivalent model) and based on the non-sequential Monte Carlo simulation method to calculate risk indicators is a viable method for quantitatively assessing the reliability of power system including wind farms. The IEEE-RTS 79 test system and a 300MW wind farm are taken as example.The calculation resluts show that using the multi-objective models can improve accuracy and reduce error; the higher average wind speed obtains the better system reliabitity accordingly.

scholarly journals Evaluation Method of Wind Speed Time-Shifting Characteristics at Multiple Scales and Its Application in Wind Power System

2020 ◽  
Vol 2020 ◽  
pp. 1-17
Author(s):  
Han Wang ◽  
Shuang Han ◽  
Yongqian Liu ◽  
Aimei Lin
Keyword(s):  
Wind Speed ◽  
Power System ◽  
Wind Power ◽  
Large Scale ◽  
Wind Farm ◽  
Evaluation Method ◽  
Multiple Scales ◽  
Wind Farms ◽  
Physical Method ◽  
Wind Power System

The wind speed sequences at different spatial positions have a certain spatiotemporal coupling relationship. It is of great significance to analyze the clustering effect of the wind farm(s) and reduce the adverse impact of large-scale wind power integration if we can grasp this relationship at multiple scales. At present, the physical method cannot optimize the time-shifting characteristics in real time, and the research scope is concentrated on the wind farm. The statistical method cannot quantitatively describe the temporal relationship and the speed variation among wind speed sequences at different spatial positions. To solve the above problems, a quantification method of wind speed time-shifting characteristics based on wind process is proposed in this paper. Two evaluation indexes, the delay time and the decay speed, are presented to quantify the time-shifting characteristics. The effectiveness of the proposed method is verified from the perspective of the correlation between wind speed sequences. The time-shifting characteristics of wind speed sequences under the wind farms scale and the wind turbines scale are studied, respectively. The results show that the proposed evaluation method can effectively achieve the quantitative analysis of time-shifting and could improve the results continuously according to the actual wind conditions. Besides, it is suitable for any spatial scale. The calculation results can be directly applied to the wind power system to help obtain the more accurate output of the wind farm.

scholarly journals Hybrid PSO-Optimized ANFIS-Based Model to Improve Dynamic Voltage Stability

2019 ◽  
Vol 9 (4) ◽  
pp. 4384-4388 ◽  
Author(s):  
D. N. Truong ◽  
V. T. Bui
Keyword(s):  
Power System ◽  
Wind Power ◽  
Voltage Stability ◽  
Wind Farm ◽  
Reactive Power ◽  
Voltage Response ◽  
Inference System ◽  
Dynamic Voltage ◽  
Dynamic Voltage Stability ◽  
Wind Power System

The objective of this paper is to perform a hybrid design for an Adaptive Neuro-Fuzzy Inference System (ANFIS) optimized by Particle Swarm Optimization (PSO) to improve the dynamic voltage stability of a grid-connected wind power system. An onshore 99.2MW wind farm using Doubly Fed Induction Generator (DFIG) is studied. To compensate the reactive power absorbed from the power grid of the wind farm, a Static VAR Compensator (SVC) is proposed. To demonstrate the performance of the proposed hybrid PSO–ANFIS controller, simulations of the voltage response in time-domain are performed in Matlab to evaluate the effectiveness of the designed controller. From the results, it can be concluded that the proposed hybrid PSO-optimized ANFIS-based model can be applied to enhance the dynamic voltage stability of the studied grid-connected wind power system.

scholarly journals Recurrence of Sub-Synchronous Oscillation Accident of Hornsea Wind Farm in UK and Its Suppression Strategy

Energies ◽  
2021 ◽  
Vol 14 (22) ◽  
pp. 7685
Author(s):  
Xiangwu Yan ◽  
Wenfei Chang ◽  
Sen Cui ◽  
Aazim Rassol ◽  
Jiaoxin Jia ◽  
...  
Keyword(s):  
Power System ◽  
Wind Power ◽  
Control Strategy ◽  
Wind Farm ◽  
Induction Generator ◽  
Doubly Fed Induction Generator ◽  
Synchronous Oscillation ◽  
Wind Power System ◽  
Doubly Fed ◽  
Grid Side

A large-scale power system breakdown in the United Kingdom caused blackouts in several important cities, losing about 3.2 percent of the load and affecting nearly 1 million power users on 9 August 2019. On the basis of the accident investigation report provided by the UK National Grid, the specific reasons for the sub-synchronous oscillation of Hornsea wind farm were analyzed. The Hornsea wind power system model was established by MATLAB simulation software to reproduce the accident. To solve this problem, based on the positive and negative sequence decomposition, the control strategy of grid-side converter of doubly-fed induction generator is improved to control the positive sequence voltage of the generator terminal, which can quickly recover the voltage by compensating the reactive power at the grid side. Consequently, the influence of the fault is weakened on the Hornsea wind farm system, and the sub-synchronous oscillation of the system is suppressed. The simulation results verify the effectiveness of the proposed control strategy in suppressing the sub-synchronous oscillation of weak AC wind power system after being applied to doubly-fed induction generator, which serves as a reference for studying similar problems of offshore wind power.

scholarly journals A Hardware Testbed of Grid-Connected Wind-Solar Power System.

2019 ◽  
Vol 1 (2) ◽  
pp. 52-56
Author(s):  
Aryuanto Soetedjo ◽  
Abraham Lomi ◽  
Bayu Jaya PUSPITA
Keyword(s):  
Power System ◽  
Wind Power ◽  
Solar Power ◽  
Halogen Lamp ◽  
Grid System ◽  
Solar Simulator ◽  
Hybrid Power ◽  
System A ◽  
Wind Power System ◽  
Real Hardware

This paper presents the development of hardware testbed for implementing grid connected wind-solar power system. A solar simulator using halogen lamp is employed to simulate the sun irradiation. The wind power simulator is developed by coupling the DC motor and the DC generator. A grid tie inverter is employed to connect the power from the solar and wind power system with the grid system. The experimental results show that the developed testbed could be used for testing the hybrid power system in the real hardware.

PSS CONTROLLER FOR WIND POWER GENERATION SYSTEMS

2012 ◽  
Vol 26 (25) ◽  
pp. 1246012 ◽  
Author(s):  
J. L. DOMÍNGUEZ-GARCÍA ◽  
O. GOMIS-BELLMUNT ◽  
F. BIANCHI ◽  
A. SUMPER
Keyword(s):  
Power Systems ◽  
Power System ◽  
Wind Power ◽  
Wind Farm ◽  
Small Signal ◽  
Small Signal Stability ◽  
Signal Stability ◽  
System A ◽  
Oscillation Modes ◽  
Power Generation Systems

Small signal stability analysis for power systems with wind farm interaction is presented. Power systems oscillation modes can be excited by disturbance or fault in the grid. Variable speed wind turbines can be regulated to reduce these oscillations, stabilising the power system. A power system stabiliser (PSS) control loop for wind power is designed in order to increase the damping of the oscillation modes. The proposed power system stabiliser controller is evaluated by small signal analysis.

Optimal Energy System for Single Household in Nigeria

2013 ◽  
Vol 2 (3) ◽  
pp. 16-41 ◽  
Author(s):  
Vincent Anayochukwu Ani
Keyword(s):  
Power System ◽  
Wind Power ◽  
Energy System ◽  
Annual Average ◽  
Average Wind Speed ◽  
Simulation And Optimization ◽  
Wind Power System ◽  
Hybrid Optimization Model ◽  
And Performance ◽  
Conventional Solution

Hybrid PV/Wind power system can be used to generate electricity consumed in household. This paper presents the design of a stand-alone Hybrid PV/Wind energy system for a household in University of Nigeria, Nsukka (UNN) in Eastern Nigeria with a daily load of 5.2kwh/d. Solar and wind resources for the design of the system were obtained from the NASA Surface Meteorology and solar energy website at a location of 6° 51' N latitude and 7° 24' E longitude, with annual average solar radiation of 4.92kWh/m2/d and annual average wind speed of 2.1m/s. The study is based on modeling, simulation and optimization of energy system in UNN. The model was designed to provide an optimal system configuration based on hour-by-hour data for energy availability and demands. Energy source, energy storage and their applicability in terms of cost and performance are discussed. The Hybrid Optimization Model for Electric Renewables (HOMER) software is used to study and design the proposed stand-alone Hybrid PV/Wind power system model. The designed Hybrid PV/Wind was compared to gasoline generator in order to choose the best energy system for the household. Total Net Present Cost (NPC) and impact on the environment are used as indices for measuring the optimization level of each energy solution. Simulation results show the Hybrid PV/Wind option ($317,907; 0 tonnes of CO2) to be superior to conventional solution ($374,237; 2.049 tonnes of CO2) whereby gasoline generators are currently used to power household around Nigeria.

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