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Reactive power Optimization of Electric power System Incorporating wind power Based on Parallel Immune Particle Swarm Optimization

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Reactive Power Optimization of Electric Power System Incorpo...

第26届中国控制与决策会议

作者： WANG Tianhong YUAN Guili ZHU Lei YU Tong China power Complete Equipment Co. Ltd School of Control and Computer Engineering North China Electric Power University

This paper aims at the characteristics of reactive power optimization of the electric power system with the wind farm;proposing a new method for reactive power optimization on the entire power grid which uses the Parallel Immune Particle Swarm Optimization. It uses integer and real number hybrid encoding, improves the efficiency of compiling. And it combines the continuous and discrete particle swarm optimization, and introduces immune operators to improve the convergence precision. IEEE-14 and IEEE-30 system simulation examples show that the new method has better global convergence ability, faster convergence rate and higher accuracy.

关键词： wind power Reactive power Optimization Particle Swarm Optimization Immune Algorithm Integer and Real Number Hybrid Encoding.

A Simulation Study on Impact of Monotonic Battery Charging/Discharging on Cost and Revenue of wind power Plant

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A Simulation Study on Impact of Monotonic Battery Charging/D...

第36届中国控制会议

作者： Mohammad Taghi Zareifard School of Electrical Engineering and Telecommunication University of New South Wales

The charging/discharging behavior of battery has a significant impact on both cost and revenue of wind power plant（WPP）.It has been shown that monotonic charging/discharging strategy has reduced the capital cost of *** this study,we present a control approach to manage the income of WPP while we combine the monotonic charging/discharging methodology to our system *** Controller is based on Model Predictive Control（MPC） theory using a dynamic programming algorithm along with a nonlinear battery energy storage *** exploit the effect of charging/discharging pattern of the battery to maximize the profit of the output power dispatched to the grid while using forecasted dispatch price and wind *** efficiency of this control strategy is assessed under different scenarios via simulations with actual wind farm data and NSW price data.

关键词： Renewable Energy wind power Battery Energy Storage System

Improved AVOA based on LSSVM for wind power prediction

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Journal of Measurement Science and Instrumentation 2024年第3期15卷 344-359页

作者： ZHANG Zhonglin WEI Fan YAN Guanghui MA Haiyun School of Electronic and Information Engineering Lanzhou Jiaotong UniversityLanzhou 730070China School of Mechanical and Informational Science Tianshui Normal UniversityTianshui 741001China

Improving the prediction accuracy of wind power is an effective means to reduce the impact of wind power on power ***,we proposed an improved African vulture optimization algorithm(AVOA)to realize the prediction model of multi-objective optimization least squares support vector machine(LSSVM).Firstly,the original wind power time series was decomposed into a certain number of intrinsic modal components(IMFs)using variational modal decomposition(VMD).Secondly,random numbers in population initialization were replaced by Tent chaotic mapping,multi-objective LSSVM optimization was introduced by AVOA improved by elitist non-dominated sorting and crowding operator,and then each component was ***,Tent multi-objective AVOA-LSSVM(TMOALSSVM)method was used to sum each component to obtain the final prediction *** simulation results show that the improved AVOA based on Tent chaotic mapping,the improved non-dominated sorting algorithm with elite strategy,and the improved crowding operator are the optimal models for single-objective and multi-objective *** them,TMOALSSVM model has the smallest average error of stroke power values in four seasons,which are 0.0694,0.0545 and 0.0211,*** average value of DS statistics in the four seasons is 0.9902,and the statistical value is the *** proposed model effectively predicts four seasons of wind power values on lateral and longitudinal precision,and faster and more accurately finds the optimal solution on the current solution space sets,which proves that the method has a certain scientific significance in the development of wind power prediction technology.

关键词： African vulture optimization algorithm(AVOA) least squares support vector machine(LSSVM) variational mode decomposition(VMD) multi-objective prediction wind power

Short-term wind power Forecasting Based on BP Neural Network with Improved Ant Lion Optimizer

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Short-term Wind Power Forecasting Based on BP Neural Network...

第37届中国控制会议

作者： Feng Jiang Jiaqi He Zijun Peng School of Statistics and Mathematics Zhongnan University of Economics and Law

In order to improve the prediction accuracy of short-term wind power, this paper proposes a short-term wind power prediction model based on an improved ant lion optimizer algorithm to optimize BP neural network（IALO-BP）. The model uses the improved ant lion optimizer algorithm（IALO） to optimize the weights and thresholds of BP neural network, so as to improve the convergence rate and generalization ability of BP neural network. The algorithm is tested by the data of an Irish wind farm in November 2017. The experimental results show that the IALO algorithm can overcome the defect that the original algorithm is easy to fall into the local optimum and the convergence speed is slow. Moreover, the IALO-BP algorithm is superior to BP neural network, GRNN and SVR in the prediction accuracy and stability.

关键词： wind power Ant Lion Optimizer Levy Flight BP Neural Network

wind power Industry in China

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Electricity 2004年第1期15卷 41-43页

作者：王晓蓉王伟胜戴慧珠中国电力科学研究院

Base on the full and accurate statistical informa tion, the status and existing technical problems of wind power in China are analyzed in terms of yearly installed capacity, single unit capacity, regional distribution, investment as well as the market shares and the local ization of wind power units etc. The paper believes that wind power industry in China will grow by leaps and bounds in near future.

关键词： wind power investment market share localization

雅思阅读实战练习2 Academic Reading Sample wind power in the US

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海外英语 2006年第7期 10-11页

　　Prompted by the oil crises of the 1970s,a windpower industry flourished briefly in the United States. But then world oil prices dropped,and funding for research into renewable energy was cut. By the mid 1980s US interest in wind energy as a largescale source of energy had almost disappeared. The development of wind power at this time suffered not only from badly designed equipment, but also from poor long-term planning,economic projections that were too optimistic and the difficulty of finding suitable locations for the wind turbines.……

关键词：阅读实战练习 the United States renewable energy wind turbines wind energy wind power world oil

Progress and Trends of China wind power

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Electricity 2002年第4期 40-42页

作者：施鹏飞中国水电顾问公司

This paper reviews the progress and trend of out-of-grid and in-grid type of wind power at home in the recent years and points out that the out-of-grid type of wind power has entered a steady development of industrialization now and large generating units are speeding the tempo of localization. This paper also enumerates the current major wind power farm projects and forecasts the development trend in the several years to come.

关键词： wind power electricity generation out-of-grid type in-grid type localization

Research and Application of Probability Distribution of wind power Fluctuation Characteristics

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International Journal of Technology Management 2014年第4期 28-32页

作者： Huang Tong College of Electrical and Electronic Engineering North China Electric Power University Baoding 071003 China

The fluctuation characteristics is the inherent property of wind *** analysis of a large number of wind t＇anns based on measured data,we find it describes the best probability distribution of wind power fluctuation for the mixed Gauss distribution of two components,and try to carry out the physical interpretation of two *** discussion is between the probability distribution of fluctuating wind power time difference and whole *** is found that the two have basic *** comparing the different time level data quantified losses the information of wind power fluctuation,quantitative determination of the degree of impact *** can summarize and understand of wind power fluctuation,constructing instance from the wind farm construction and monitoring prediction two aspect recommendations to overcome the adverse effects of wind power fluctuations on the power grid operation.

关键词： wind power fluctuation characteristics probability distribution gauss mixture distribution:

Stochastic Optimal Control Problem of Insufficient wind Turbine power Generation Based on BSDE

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Stochastic Optimal Control Problem of Insufficient Wind Turb...

第43届中国控制会议

作者： Mi Zong Yibao Jiang Haotian Xu School of Control Science and Engineering Shandong University School of Electrical Engineering Shandong University

This paper aims to address the problem of unstable power feed-in to the grid from offshore wind *** significant features of this method are as follows:Firstly,a hybrid generation control method for wind power plants and thermal power plants is proposed,where the insufficient wind turbine power generation is supplemented by thermal ***,we use the stochastic process to characterize uncertainty caused by the randomness of wind,establishing a reasonable physical and mathematical model to predict the power generation efficiency of offshore wind ***,using the backward stochastic differential equation(BSDE),a bridge between uncertainty and certainty is built,transforming the problem into linear quadratic optimal control,and solving the problem of unstable grid power of offshore wind *** using the Riccati equation and a general ordinary differential equation,we obtain an optimal control strategy for the novel hybrid offshore wind power problem.

关键词： wind power Hybrid generation method Backward stochastic differential equation