A Game Theory Based Interaction Strategy between Residential Users and an Electric Company

Jidong Wang,Kaijie Fang,Yuhao Yang,Yingchen Shi,Daoqiang Xu,Shuangshuang Zhao 대한전기학회 2018 Journal of Electrical Engineering & Technology Vol.13 No.1

With the development of smart grid technology, it has become a hotspot to increase benefits of both residential users and electric power companies through demand response technology and interactive technology. In this paper, the game theory is introduced to the interaction between residential users and an electric company, making a mutually beneficial situation for the two. This paper solves the problem of electricity pricing and load shifting in the interactive behavior by building the game-theoretic process, proposing the interaction strategy and doing the optimization. In the simulation results, the residential users decrease their cost by 11% mainly through shifting the thermal loads and the electric company improves its benefits by 5.6% though electricity pricing. Simulation analysis verifies the validity of the proposed method and shows great revenue for the economy of both sides.

Short-Term Photovoltaic Power Generation Forecasting Based on Environmental Factors and GA-SVM

Jidong Wang,Ran Ran,Zhilin Song,Jiawen Sun 대한전기학회 2017 Journal of Electrical Engineering & Technology Vol.12 No.1

Considering the volatility, intermittent and random of photovoltaic (PV) generation systems, accurate forecasting of PV power output is important for the grid scheduling and energy management. In order to improve the accuracy of short-term power forecasting of PV systems, this paper proposes a prediction model based on environmental factors and support vector machine optimized by genetic algorithm (GA-SVM). In order to improve the prediction accuracy of this model, weather conditions are divided into three types, and the gray correlation coefficient algorithm is used to find out a similar day of the predicted day. To avoid parameters optimization into local optima, this paper uses genetic algorithm to optimize SVM parameters. Example verification shows that the prediction accuracy in three types of weather will remain at between 10% -15% and the short-term PV power forecasting model proposed is effective and promising.

A Game Theory Based Interaction Strategy between Residential Users and an Electric Company

Wang, Jidong,Fang, Kaijie,Yang, Yuhao,Shi, Yingchen,Xu, Daoqiang,Zhao, Shuangshuang The Korean Institute of Electrical Engineers 2018 Journal of Electrical Engineering & Technology Vol.13 No.1

With the development of smart grid technology, it has become a hotspot to increase benefits of both residential users and electric power companies through demand response technology and interactive technology. In this paper, the game theory is introduced to the interaction between residential users and an electric company, making a mutually beneficial situation for the two. This paper solves the problem of electricity pricing and load shifting in the interactive behavior by building the game-theoretic process, proposing the interaction strategy and doing the optimization. In the simulation results, the residential users decrease their cost by 11% mainly through shifting the thermal loads and the electric company improves its benefits by 5.6% though electricity pricing. Simulation analysis verifies the validity of the proposed method and shows great revenue for the economy of both sides.

Wind Power Interval Prediction Based on Improved PSO and BP Neural Network

Jidong Wang,Kaijie Fang,Wenjie Pang,Jiawen Sun 대한전기학회 2017 Journal of Electrical Engineering & Technology Vol.12 No.3

As is known to all that the output of wind power generation has a character of randomness and volatility because of the influence of natural environment conditions. At present, the research of wind power prediction mainly focuses on point forecasting, which can hardly describe its uncertainty, leading to the fact that its application in practice is low. In this paper, a wind power range prediction model based on the multiple output property of BP neural network is built, and the optimization criterion considering the information of predicted intervals is proposed. Then, improved Particle Swarm Optimization (PSO) algorithm is used to optimize the model. The simulation results of a practical example show that the proposed wind power range prediction model can effectively forecast the output power interval, and provide power grid dispatcher with decision.

Wind Power Interval Prediction Based on Improved PSO and BP Neural Network

Wang, Jidong,Fang, Kaijie,Pang, Wenjie,Sun, Jiawen The Korean Institute of Electrical Engineers 2017 Journal of Electrical Engineering & Technology Vol.12 No.3

As is known to all that the output of wind power generation has a character of randomness and volatility because of the influence of natural environment conditions. At present, the research of wind power prediction mainly focuses on point forecasting, which can hardly describe its uncertainty, leading to the fact that its application in practice is low. In this paper, a wind power range prediction model based on the multiple output property of BP neural network is built, and the optimization criterion considering the information of predicted intervals is proposed. Then, improved Particle Swarm Optimization (PSO) algorithm is used to optimize the model. The simulation results of a practical example show that the proposed wind power range prediction model can effectively forecast the output power interval, and provide power grid dispatcher with decision.

Catalytic conversion of cellulose into 5-hydroxymethylfurfural over chromium trichloride in ionic liquid

Shui Wang,Jidong Wang,Yizhen Du,Wenqian Zhang,Xiaowei Cheng 한국화학공학회 2014 Korean Journal of Chemical Engineering Vol.31 No.10

An efficient method for converting cellulose into 5-hydroxymethylfurfural (5-HMF) using an inexpen-sive ionic liquid tetrabutylammonium chloride (TBAC) and relatively low-toxicity catalyst of chromium (III) trichloride(CrCl3·6H2O) was developed. The effects of hydrochloric acid loading, catalyst dosage, reaction temperature and timeon the yield of 5-HMF were surveyed to achieve optimal reaction conditions. A 5-HMF yield of 43.7% was obtainedwithin 90 min at 140 oC using oil-bath heating. Glucose and starch were also investigated as feedstock to produce 5-HMF in TBAC/CrCl3·6H2O system, in which the 5-HMF yield was considerable. After 5-HMF was extracted, TBAC/CrCl3 ·6H2Ocould be used for several runs.

High level of LncRNA MAPKAPK5-AS1 predicts poor prognosis and contributes to the malignant proliferation and EMT of non-small cell lung cancer via sponging miR-490-3p from HMGB2

Miao Jidong,Gao Yang,Guan Wenqiang,Yu Xiaolin,Wang Yong,Jiang Ping,Yang Lili,Xu Lun,You Wei 한국유전학회 2023 Genes & Genomics Vol.45 No.5

Background Patients with non-small cell lung cancer (NSCLC) show a low survival rate, owing to the lack of early diagnostic method and high invasiveness. Long non-coding RNA MAPKAPK5-AS1 that regulates tumor genesis and progression through multiple signals, is upregulated and involved in the growth and apoptosis in lung adenocarcinoma (LUAD). Objective To investigate whether MAPKAPK5-AS1 affected the malignant progression of NSCLC. Methods The levels of MAPKAPK5-AS1, miR-490-3p and HMGB2 in lung cancer were first analyzed through StarBase website, and confirmed by a quantitative reverse transcriptase-PCR (qRT-PCR) assay. The biological functions of NSCLC cells were examined by CCK-8, 5-ethynyl-2ʹ-deoxyuridine (EdU) and flow cytometry assays. The potential binding sequences lncRNA-miRNA and miRNA-mRNA were predicted by StarBase software and verified via dual luciferase reporter experiment. The effects of MAPKAPK5-AS1 on tumor growth were evaluated in a xenografted mice model. Results The expression of MAPKAPK5-AS1 was upregulated in tumor tissues from NSCLC patients. Patients with high expression of MAPKAPK5-AS1 had higher tumor size, advanced TNM stage, higher incidence of lymph node and distant metastasis, and shorter overall survival. Knockdown of MAPKAPK5-AS1 inhibited the proliferation, induced apoptosis and blocked epithelial mesenchymal transformation (EMT) of NSCLC cells. Mechanically, MAPKAPK5-AS1 could upregulate the HMGB2 level in NSCLC cells through competitively binding to miR-490-3p. MiR-490-3p inhibitor reversed the roles of MAPKAPK5-AS1 knockdown on tumor cell proliferation, apoptosis and EMT. Also, HMGB2 knockdown suppressed tumor cell malignant phenotypes. Furthermore, interference of MAPKAPK5-AS1 slowed NSCLC tumor growth in vivo. Conclusion Knockdown of MAPKAPK5-AS1 inhibited the aggressive tumor phenotypes through miR-490-3p/HMGB2 axis in NSCLC. MAPKAPK5-AS1/miR-490-3p/HMGB2 might be potential biomarkers or therapeutic targets for NSCLC.

Equivalent and identification of integrated coupling parameter of variable speed constant frequency brushless doubly fed generator

Yiding Wang,Jianhui Su,Jidong Lai,Bao Xie,Yong Shi,Hongru Yu 전력전자학회 2022 JOURNAL OF POWER ELECTRONICS Vol.22 No.1

Brushless doubly fed generator (BDFG) generally adopts double closed-loop vector control strategies. Owing to the influence of BDFG coupling parameters, the accuracy of feedforward decoupling parameters is very important; however, the complexity of the BDFG model makes its winding parameters difficult to identify. On the basis of the characteristics of the BDFG system control model and the decoupling control conditions, this study proposes a method for identifying the integrated coupling parameter. This method first uses particle swarm optimization to identify the coefficients of the current closed-loop transfer function. Then, the values of the integrated coupling parameters are calculated on the basis of the relationship between the coefficients of the current closed-loop transfer function and the integrated coupling parameters of the BDFG. This method bypasses the challenge of directly identifying BDFG winding parameters and can be used directly to design the controller. Experiments are performed using a 30 kW BDFG platform to prove the feasibility and effectiveness of the proposed method.

Selective Adsorption and Reusability for Pb<SUP>2+</SUP> of Chitosan-based Microporous Polymer

Jie Yu,Jidong Zheng,Quanfang Lu,Xing Wang,Xiaomin Zhang,Qizhao Wang,Wu Yang 한국고분자학회 2017 폴리머 Vol.41 No.3

A green and simple glow-discharge electrolysis plasma (GDEP) technique was used to synthesize the chitosan/attapulgite/poly(acrylic acid-co-2-acrylamido-2-methyl-1-propanesulfonic acid) (CS/ATP/P(AA-co-AMPS)) microporous polymer. The results showed that the optimum pH for the adsorption of Pb<SUP>2+</SUP>, Cd<SUP>2+</SUP>, Co<SUP>2+</SUP>, and Cu<SUP>2+</SUP> is 4.8, and time of adsorption equilibrium is 60 min. Adsorption kinetics fits well to the pseudo-second-order model. The maximum adsorption capacities for Pb<SUP>2+</SUP>, Cd<SUP>2+</SUP>, Cu<SUP>2+</SUP> and Co<SUP>2+</SUP> are 500.0, 301.7, 180.0 and 151.7 mg g<SUP>-1</SUP>, respectively. The microporous polymer has higher adsorption selectivity toward Pb<SUP>2+</SUP> with the coexistence of Cd<SUP>2+</SUP>, Co<SUP>2+</SUP>, and Cu<SUP>2+</SUP>. The CS/ATP/P(AAco-AMPS) possesses promising regeneration and reusability using 2.0 g L–1 ethylenediamine tetraacetic acid tetrasodium salt (EDTA-4Na) solution as eluent. CS/ATP/P(AA-co-AMPS) can be used as a very promising absorbent for the separation purification and selective recovery of Pb<SUP>2+</SUP> in aqueous solution containing Cd<SUP>2+</SUP>, Co<SUP>2+</SUP>, and Cu<SUP>2+</SUP> ions.

Dynamical Analysis and Design of Bearingless Rotor Flexbeam

Shi, Weixing,Wang, Jidong The Society for Aerospace System Engineering 2015 International Journal of Aerospace System Engineer Vol.2 No.1

In helicopter bearingless rotor design, the flexbeam is the key component of rotor system, which plays an importantrole in the blade flapping, lead-lag movement, torsion, and load transfer. Flexbeam must have the minimum torsion stiffness with enough tension strength. In this paper, we first investigated the torsion stiffness of different cross section configurations of the flexbeam through some simple experiments. Then we analyzed a rotor's dynamical characteristics with finite element method and got the rotor's fan plot. After that, we studied the relationship between the frequency changes with the spanwise distribution of mass and stiffness in bearingless rotor. Finally, we analyzed the influence of the flexbeam on dynamical characteristics of the bearingless rotor system, and completed the design of this type of rotor flexbeam.