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Forecasting method of monthly wind power generation based on climate model and long short-term memory neural network

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Global Energy Interconnection 2020年第6期3卷 571-576页

作者： Rui Yin Dengxuan Li Yifeng Wang Weidong Chen State Grid Hebei Electric power Company Shijiazhuang 050022P.R.China China Electric power Research Institute Nanjing 210003P.R.China

Predicting wind power gen eration over the medium and long term is helpful for dispatchi ng departme nts,as it aids in constructing generation plans and electricity market *** study presents a monthly wind power gen eration forecast!ng method based on a climate model and long short-term memory(LSTM)n eural n etwork.A non linear mappi ng model is established between the meteorological elements and wind power monthly utilization *** considering the meteorological data(as predicted for the future)and new installed capacity planning,the monthly wind power gen eration forecast results are output.A case study shows the effectiveness of the prediction method.

关键词： wind power Monthly generation forecast Climate model LSTM neural network

A Day-ahead Economic Dispatch Method Considering Extreme Scenarios Based on wind power Uncertainty

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CSEE Journal of power and Energy Systems 2019年第2期5卷 224-233页

作者： Jian Xu Bao Wang Yuanzhang Sun Qi Xu Ji Liu Huiqiu Cao Haiyan Jiang Ruobing Lei Mengjun Shen School of Electrical Engineering and Automation Wuhan UniversityWuhan430072China Guangzhou power Supply Bureau Co. Ltd.Guangzhou510620China Electric power Research Institute of Guangdong power Grid Co. Ltd.Guangzhou510080China Suzhou power Supply Bureau Co. Ltd.Suzhou215000China

As the intermittency of wind power is a growing concern in the day-ahead economic dispatch,this paper proposes a day-ahead economic dispatch method considering extreme scenarios of wind power by using an uncertainty *** uncertainty set inspired by robust optimization is used to describe wind power intermittency in this *** extreme scenarios based on the uncertainty set are formulated to represent the worst cases of wind power *** economic dispatch method considering the costs of both load shedding and wind curtailment is *** economic dispatch model can be easily solved by a quadratic programming method owing to the introduction of four extreme scenarios and the uncertainty set of wind *** is done using the IEEE 30-bus system and the results verify the effectiveness of the proposed method.

关键词： Economic dispatch extreme scenarios uncertainty set wind power

Long-term Coordination of Transmission and Storage to Integrate wind power

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CSEE Journal of power and Energy Systems 2017年第1期3卷 36-43页

作者： Antonio J.Conejo Yaohua Cheng Ning Zhang Chongqing Kang ISE and ECE Departments at The Ohio State University ColumbusOHUSA State Key Lab of power Systems Department of Electrical EngineeringTsinghua UniversityBeijing 100084China

A power system with a high wind power integration requires extra transmission capacity to accommodate the intermittency inherent to wind power *** can smooth out this intermittency and reduce transmission *** paper proposes a stochastic optimization model to coordinate the long-term planning of both transmission and storage facilities to efficiently integrate wind *** longterm and short-term uncertainties are considered in this ***-term uncertainty is described via scenarios,while shortterm uncertainty is described via operating ***’s 6-node system and a system representing Northwest China in 2030 are used to illustrate the proposed *** indicate that storage reduces transmission requirement and the overall investment,and allows the efficient integration of wind power.

关键词： Long-term planning storage transmission uncertainty wind power

A Scenario-Based Robust Transmission Network Expansion Planning Method for Consideration of wind power Uncertainties

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CSEE Journal of power and Energy Systems 2016年第1期2卷 11-18页

作者： Jinghua Li Liu Ye Yan Zeng Hua Wei School of Electrical Engineering Guangxi UniversityNanning 530004China

This paper uses a novel scenario generation method for tackling the uncertainties of wind power in the transmission network expansion planning(TNEP)problem.A heuristic moment matching(HMM)method is first applied to generate the typical scenarios for capturing the stochastic features of wind power,including expectation,standard deviation,skewness,kurtosis,and correlation of multiple wind ***,based on the typical scenarios,a robust TNEP problem is presented and *** solution of the problem is robust against all the scenarios that represent the stochastic features of wind *** test systems are used to verify the HMM method and is compared against Taguchi’s Orthogonal Array(OA)*** simulation results show that the HMM method has better performance than the OA method in terms of the trade-off between robustness and ***,the main factors influencing the planning scheme are studied,including the number of scenarios,wind farm capacity,and penalty factors,which provide a reference for system operators choosing parameters.

关键词： Heuristic moment matching method robust optimization scenario generation transmission network expansion planning uncertainty wind power

On optimal charging scheduling for electric vehicles with wind power generation

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Fundamental Research 2024年第4期4卷 951-960页

作者： Junjie Wu Qing-Shan Jia Center for Intelligent and Networked Systems(CFINS) Department of AutomationBeijing National Research Center for Information Science and Technology(BNRist)TsinghuaUniversityBeijing100084China Huawei Technologies Co.Ltd Shenzhen 518129China

We consider the scheduling of battery charging of electric vehicles(EVs)integrated with renewable power *** increasing adoption of EVs and the development of renewable energies contribute importance to this *** optimization of charging scheduling is challenging because of the large action space,the multi-stage decision making,and the high *** solve this problem is time-consuming when the scale of the system is *** is urgent to develop a practical and efficient method to properly schedule the charging of *** contribution of this work is ***,we provide a sufficient condition on which the charging of EVs can be completely self-sustained by distributed *** algorithm is proposed to obtain the optimal charging policy when the sufficient condition ***,the scenario when the supply of the renewable power generation is deficient is *** prove that when the renewable generation is deterministic there exists an optimal policy which follows the modified least laxity and longer remaining processing time first(mLLLP)***,we provide an adaptive rule-based algorithm which obtains a near-optimal charging policy efficiently in general *** test the proposed algorithm by numerical *** results show that it performs better than the other existing rule-based methods.

关键词： Electric vehicle Charging scheduling wind power Optimal policy Renewable energy

A Mechanism of Intraday Market Design for Promoting wind power Integration

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CSEE Journal of power and Energy Systems 2018年第3期4卷 293-298页

作者： Chao Du Xifan Wang Xiuli Wang Chengcheng Shao Yunpeng Xiao Northeast Electric power Design Institute of China power Engineering Consulting Group Corporation Changchun 130021China Department of Electrical Engineering and State Key Laboratory on Electrical Insulation and power Equipment in Xi’an Jiaotong University Xi’an 710049China

wind power generation has been developing rapidly in recent ***,the mechanism for promoting wind power integration becomes increasingly *** this paper,a novel mechanism of intraday market is proposed,which can utilize updating information of wind power and effectively exploit the shiftable *** mechanism is compatible with the existing market framework,and promotes wind power producers(WPPs)to be more competitive in the ***,the WPPs could make decisions for multiple market transactions in various trading timescales according to the market ***,the WPPs can optimize their decisions continuously in the intraday market at different time points in the *** case study on IEEE-RTS verifies the proposed method is valid and *** can support wind power integration and increase the benefit of the whole system as well.

关键词： Benefit analysis electricity market intraday market shiftable load wind power

An overview of the policies and models of integrated development for solar and wind power generation in China

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Research in Cold and Arid Regions 2023年第3期15卷 122-131页

作者： LiWei Yang XiaoQing Gao ZhenChao Li Key Laboratory of Land Surface Progress and Climate Change in Cold and Arid Regions Northwest Institute of Eco-Environment and ResourcesChinese Academy of SciencesLanzhou 730000China

Under the goal of “Carbon Emission Peak and Carbon Neutralization”, the integrated development between various industries and renewable energy(photovoltaic, wind power) is of great significance in China. This paper summarizes the relevant policies, integration schemes and typical cases of the integrated development between renewable energy and other industries. First, the development status of wind and solar generation in China is introduced. Second, we summarize the relevant policies issued by the National Development and Reform Commission, National Energy Administration and other departments to promote the integrated development in photovoltaic and wind power generation in China. Third, eight kinds of photovoltaic three-dimensional development models are described, including “photovoltaic + agriculture, industry, environmental protection, transportation, architecture, communication, hydrogen and ecology”. Fourth, eight kinds of wind power threedimensional development models are summarized, including “Offshore wind power + marine ranch, marine energy, marine tourism, marine oil and gas, hydrogen, communication, Energy Island” and “Onshore wind power+ courtyard”. In the future, the promotion and application of the above integrated development projects will be accelerated. This overview aims to provide reference for the design in photovoltaic and wind energy systems and help potential investors to make decisions.

关键词： Renewable energy Solar PV wind power Policies Integrated development

Day-ahead Scheduling of Multi-carrier Energy Systems with Multi-type Energy Storages and wind power

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CSEE Journal of power and Energy Systems 2018年第3期4卷 283-292页

作者： Rufeng Zhang Tao Jiang Guoging Li Houhe Chen Xue Li Linquan Bai Hantao Cui Department of Electrical Engineering Northeast Electric Power UniversityJilinJL 132012 China ABB power Consulting RaleighNC 27606USA Department of EECS The University of TennesseeKnoxvilleTN 37996USA.

The integration of large-scale wind power brings challenges to the operation of integrated energy systems(IES).In this paper,a day-ahead scheduling model for IES with wind power and multi-type energy storage is proposed in a scenario-based stochastic programming *** structure of the IES consists of electricity,natural gas,and heating networks which are all included in the *** constraints for IES incorporating multi-type energy storage devices are also *** constraints of the electricity network,natural gas network and heating network are formulated,and non-linear constraints are *** calculation method for the correlation of wind speed between wind farms based on historical data is *** of correlated wind power were represented by creating multiple representative scenarios with different probabilities,and this was done using the Latin hyper-cube sampling(LHS)*** stochastic scheduling model is formulated as a mixed integer linear programming(MILP)problem with the objective function of minimizing the total expected operation *** results on a modified PJM 5-bus electricity system with a seven-node natural gas system and a six-node heating system validate the proposed *** results demonstrate that multi-type energy storage devices can help reduce wind power curtailments and improve the operational flexibility of IES.

关键词： Multicarrier energy systems multi-type energy storage stochastic day-ahead scheduling wind power

Short-Term wind power Prediction Method Based on Combination of Meteorological Features and CatBoost

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Wuhan University Journal of Natural Sciences 2023年第2期28卷 169-176页

作者： MOU Xingyu CHEN Hui ZHANG Xinjing XU Xin YU Qingbo LI Yunfeng Jilin Province Meteorological Information Network Center Changchun 130062JilinChina

As one of the hot topics in the field of new energy,short-term wind power prediction research should pay attention to the impact of meteorological characteristics on wind power while improving the prediction ***,a short-term wind power prediction method based on the combination of meteorological features and Cat Boost is ***,morgan-stone algebras and sure independence screening(MS-SIS)method is designed to filter the meteorological features,and the influence of the meteorological features on the wind power is ***,a sort enhancement algorithm is designed to increase the accuracy and calculation efficiency of the method and reduce the prediction risk of a single ***,a prediction method based on Cat Boost network is constructed to further realize short-term wind power *** National Renewable Energy Laboratory(NREL)dataset is used for experimental *** results show that the short-term wind power prediction method based on the combination of meteorological features and Cat Boost not only improve the prediction accuracy of short-term wind power,but also have higher calculation efficiency.

关键词： meteorological features short-term power load forecasting Cat Boost wind power