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Huang, Yu,Xu, Qingshan,Jiang, Xianqiang,Zhang, Tong,Liu, Jiankun The Korean Institute of Electrical Engineers 2018 Journal of Electrical Engineering & Technology Vol.13 No.6
The unavoidable forecast error of wind power is one of the biggest obstacles for wind farms to participate in day-ahead electricity market. To mitigate the deviation from forecast, installation of energy storage system (ESS) is considered. An accurate model of wind power forecast error is fundamental for ESS sizing. However, previous study shows that the error distribution has variable kurtosis and fat tails, and insufficient measurement data of wind farms would add to the difficulty of modeling. This paper presents a comprehensive way that makes the use of mixed skewness model (MSM) and copula theory to give a better approximation for the distribution of forecast error, and it remains valid even if the dataset is not so well documented. The model is then used to optimize the ESS power and capacity aiming to pay the minimal extra cost. Results show the effectiveness of the new model for finding the optimal size of ESS and increasing the economic benefit.
Yu Huang,Qingshan Xu,Xianqiang Jiang,Tong Zhang,Jiankun Liu 대한전기학회 2018 Journal of Electrical Engineering & Technology Vol.13 No.6
The unavoidable forecast error of wind power is one of the biggest obstacles for wind farms to participate in day-ahead electricity market. To mitigate the deviation from forecast, installation of energy storage system (ESS) is considered. An accurate model of wind power forecast error is fundamental for ESS sizing. However, previous study shows that the error distribution has variable kurtosis and fat tails, and insufficient measurement data of wind farms would add to the difficulty of modeling. This paper presents a comprehensive way that makes the use of mixed skewness model (MSM) and copula theory to give a better approximation for the distribution of forecast error, and it remains valid even if the dataset is not so well documented. The model is then used to optimize the ESS power and capacity aiming to pay the minimal extra cost. Results show the effectiveness of the new model for finding the optimal size of ESS and increasing the economic benefit.
Lijun Du,Ning Lv,Jiashuai Li,Jiayi Zhang,Yilan Chen,Yalin Zhang,Zhen Li,Xianqiang Huang,Jujie Luo 한국공업화학회 2023 Journal of Industrial and Engineering Chemistry Vol.120 No.-
NiCoSe4 nanoflowers were synthesized on carbon fiber felt (CFF) by microwave method, and the effects ofmicrowave time and microwave power on the morphology, physical phase and performance ofNiCoSe4@CFF were explored. The results display that the nanostructured NiCoSe4 prepared under themicrowave irradiation of 1000 W for 120 s is uniformly loaded on the CFF. The NiCoSe4@CFF electrodeexhibits a superior specific capacity of 1653.6F g1 at 1A/g and maintains a superior cycling performanceof 87.05 % of the initial capacitance over 150,000 cycles. In addition, the flexible supercapacitor fabricatedwith NiCoSe4@CFF as the cathode exhibits excellent flexibility and flexural strength. As an effective catalystfor oxygen evolution reaction (OER), NiCoSe4@CFF demonstrates a low overpotential of 0.358 V, arelatively small Tafel slope of 115.93 mV dec1 and an excellent lifetime at 10 mA cm2.