{"title":"Optimal Hybrid Renewable Energy System: A Comparative Study of Wind/Hydrogen/Fuel-Cell and Wind/Battery Storage","authors":"A. Acakpovi, P. Adjei, N. Nwulu, Nana Yaw Asabere","doi":"10.1155/2020/1756503","DOIUrl":"https://doi.org/10.1155/2020/1756503","url":null,"abstract":"This paper performs a technoeconomic comparison of two hybrid renewable energy supplies (HRES) for a specific location in Ghana and suggests the optimal solution in terms of cost, energy generation capacity, and emissions. The two HRES considered in this paper were wind/hydrogen/fuel-cell and wind/battery storage, respectively. The necessity of this study was derived from the rise and expansion of hybrid renewable energy supply in a decentralised network. The readiness to embrace these new technologies is apparently high, but the best combination for a selected location that brings optimum benefits is not obvious and demands serious technical knowledge of their technical and economic models. In the methodology, an analytical model of energy generation by the various RE sources was first established, and data were collected about a rural-urban community in Doderkope, Ghana, to test the models. HOMER software was used to design the two hybrid systems based on the same load profiles, and results were compared. It turns out that the HRES 1 (wind/hydrogen/fuel-cell) had the lowest net present cost (NPC) and levelized cost of electricity (COE) over the project life span of 25 years. The energy reserve with the HRES 2 (wind/battery storage) was huge compared to that with the HRES 1, about 270% bigger. Furthermore, with respect to the emissions, the HRES 2 was environmentally friendlier than the HRES 1. Even though the battery storage seems to be more cost-effective than the hydrogen fuel-cell technology, the latter presents some merits regarding system capacity and emission that deserve greater attention as the world looks into more sustainable energy storage systems.","PeriodicalId":46573,"journal":{"name":"Journal of Electrical and Computer Engineering","volume":"1 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2020-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46503838","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Improved Stochastic Gradient Matching Pursuit Algorithm Based on the Soft-Thresholds Selection","authors":"Liquan Zhao, Yunfeng Hu","doi":"10.1155/2018/9130531","DOIUrl":"https://doi.org/10.1155/2018/9130531","url":null,"abstract":"The preliminary atom set exits redundant atoms in the stochastic gradient matching pursuit algorithm, which affects the accuracy of the signal reconstruction and increases the computational complexity. To overcome the problem, an improved method is proposed. Firstly, a limited soft-threshold selection strategy is used to select the new atoms from the preliminary atom set, to reduce the redundancy of the preliminary atom set. Secondly, before finding the least squares solution of the residual, it is determined whether the number of columns of the measurement matrix is smaller than the number of rows. If the condition is satisfied, the least squares solution is calculated; otherwise, the loop is exited. Finally, if the length of the candidate atomic index set is less than the sparsity level, the current candidate atom index set is the support atom set. If the condition is not satisfied, the support atom index set is determined by the least squares solution. Simulation results indicate that the proposed method is better than other methods in terms of the reconstruction probability and shorter running time than the stochastic gradient matching pursuit algorithm.","PeriodicalId":46573,"journal":{"name":"Journal of Electrical and Computer Engineering","volume":"12 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2018-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1155/2018/9130531","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"64739370","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Novel DBN Feature Fusion Model for Cross-Corpus Speech Emotion Recognition","authors":"Zou Cairong, Zhang Xinran, Zha Cheng, Zhao Li","doi":"10.1155/2016/7437860","DOIUrl":"https://doi.org/10.1155/2016/7437860","url":null,"abstract":"The feature fusion from separate source is the current technical difficulties of cross-corpus speech emotion recognition. The purpose of this paper is to, based on Deep Belief Nets DBN in Deep Learning, use the emotional information hiding in speech spectrum diagram spectrogram as image features and then implement feature fusion with the traditional emotion features. First, based on the spectrogram analysis by STB/Itti model, the new spectrogram features are extracted from the color, the brightness, and the orientation, respectively; then using two alternative DBN models they fuse the traditional and the spectrogram features, which increase the scale of the feature subset and the characterization ability of emotion. Through the experiment on ABC database and Chinese corpora, the new feature subset compared with traditional speech emotion features, the recognition result on cross-corpus, distinctly advances by 8.8%. The method proposed provides a new idea for feature fusion of emotion recognition.","PeriodicalId":46573,"journal":{"name":"Journal of Electrical and Computer Engineering","volume":"2016 1","pages":"762-772"},"PeriodicalIF":2.4,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1155/2016/7437860","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"64521152","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Novel Hybrid Method for Short-Term Power Load Forecasting","authors":"Huang Yuan-sheng, Huang Shen-hai, Song Jia-yin","doi":"10.1155/2016/2165324","DOIUrl":"https://doi.org/10.1155/2016/2165324","url":null,"abstract":"Influenced by many uncertain and random factors, nonstationary, nonlinearity, and time-variety appear in power load series, which is difficult to forecast accurately. Aiming at locating these issues of power load forecasting, an innovative hybrid method is proposed to forecast power load in this paper. Firstly, ensemble empirical mode decomposition (EEMD) is used to decompose the power load series into a series of independent intrinsic mode functions (IMFs) and a residual term. Secondly, genetic algorithm (GA) is then applied to determine the best weights of each IMF and the residual term named ensemble empirical mode decomposition based on weight (WEEMD). Thirdly, least square support vector machine (LSSVM) and nonparametric generalized autoregressive conditional heteroscedasticity (NPGARCH) are employed to forecast the subseries, respectively, based on the characteristics of power load series. Finally, the forecasted power load of each component is summed as the final forecasted result of power load. Compared with other methods, the forecasting results of this proposed model applied to the electricity market of Pennsylvania-New Jersey-Maryland (PJM) indicate that the proposed model outperforms other models.","PeriodicalId":46573,"journal":{"name":"Journal of Electrical and Computer Engineering","volume":"2016 1","pages":"1-10"},"PeriodicalIF":2.4,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1155/2016/2165324","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"64264263","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Application of multipoint DC voltage control in VSC-MTDC system","authors":"Yang Xi, Ai Qian, Huang Jiantao, An Yiran","doi":"10.1155/2013/257387","DOIUrl":"https://doi.org/10.1155/2013/257387","url":null,"abstract":"The voltage-source-converter- (VSC-) based multiterminal VSC-HVDC power transmission system (VSC-MTDC) is an ideal approach to connectwind farmwith power grid. Analyzing the characteristics of doubly fed induction generators aswell as the basic principle and the control strategy of VSC-MTDC, a multiterminal DC voltage control strategy suitable for wind farm connected with VSC-MTDC is proposed. By use of PSCAD/EMTDC, the proposed control strategy is simulated, and simulation results show that using the proposed control strategy the conversion between constant power control mode and constant DC voltage control mode can be automatically implemented; thus the DC voltage stability control and reliable power output of wind farm can be ensured after the fault-caused outage of converter station controlled by constant DC voltage and under other faults. The simulation result shows that the model can fulfill multiterminal power transmission and fast response control.","PeriodicalId":46573,"journal":{"name":"Journal of Electrical and Computer Engineering","volume":"2013 1","pages":"3"},"PeriodicalIF":2.4,"publicationDate":"2013-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1155/2013/257387","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"64396950","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
T. Gigl, F. Troesch, J. Preishuber-Pflügl, K. Witrisal
{"title":"An Analysis of Coherent and Non-Coherent Receivers for Ranging in IEEE 802.15.4a","authors":"T. Gigl, F. Troesch, J. Preishuber-Pflügl, K. Witrisal","doi":"10.1155/2012/218930","DOIUrl":"https://doi.org/10.1155/2012/218930","url":null,"abstract":"The IEEE 802.15.4a standard for wireless sensor networks is designed for high-accuracy ranging using ultra-wideband (UWB) signals. It supports coherent and noncoherent (energy detector) receivers, thus the performance-complexity-tradeoff can be decided by the implementer. In this paper, the maximum operating range and the maximum allowed pathloss are analyzed for ranging and both receiver types, under FCC/CEPT regulations. The analysis is based on the receiver working points and a link budget calculation assuming a frees-pace pathloss model. It takes into consideration the parameters of the preamble, which influence the transmit power allowed by the regulators. The best performance is achieved with the code sequences having the longest pulse spacing. Coherent receivers can achieve a maximum operating range up to several thousand meters and energy detectors up to several hundred meters.","PeriodicalId":46573,"journal":{"name":"Journal of Electrical and Computer Engineering","volume":"1 1","pages":"218930:1-218930:9"},"PeriodicalIF":2.4,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1155/2012/218930","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"64303919","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A new efficient ordering scheme for sphere detection","authors":"Cao Haiyan, Li Jun","doi":"10.1155/2011/821407","DOIUrl":"https://doi.org/10.1155/2011/821407","url":null,"abstract":"The decoding order has a deep impact in the complexity of sphere detection. A new ordering scheme for sphere detection is presented in this paper, which is based on SIC (serial interference canceling) and the gradient defined by the accumulated probability of the absolute difference between symbol element and the zero-forcing solution. The simulation results show that the proposed ordering scheme can achieve a significant complexity reduction, especially for high numbers of antennas and large constellation sizes in the low SNR region. Compared with sphere detection complexity under BSQR (balanced sorted QR) decomposition and GB (gradient-based) orderings at SNR = 5 dB, the average number of visited nodes under our proposed ordering is reduced by almost 30% and 33% in 4×4 16QAM system and by almost 30% and 50% reduction in 6×6 16QAM system, respectively. For 4×4 64QAM system, almost 75% and 80% reduction at SNR = 0 dB and more than 40% and 50% reduction at SNR = 5 dB can be achieved, respectively.","PeriodicalId":46573,"journal":{"name":"Journal of Electrical and Computer Engineering","volume":"2011 1","pages":"14"},"PeriodicalIF":2.4,"publicationDate":"2011-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1155/2011/821407","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"64284601","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A modified fast approximated power iteration subspace tracking method for space-time adaptive processing","authors":"Yang Zhiwei, He Shun, Liao Guisheng, Ouyang Shan","doi":"10.1155/2010/973718","DOIUrl":"https://doi.org/10.1155/2010/973718","url":null,"abstract":"We propose a subspace-tracking-based space-time adaptive processing technique for airborne radar applications. By applying a modified approximated power iteration subspace tracing algorithm, the principal subspace in which the clutter-plus-interference reside is estimated. Therefore, the moving targets are detected by projecting the data on the minor subspace which is orthogonal to the principal subspace. The proposed approach overcomes the shortcomings of the existing methods and has satisfactory performance. Simulation results confirm that the performance improvement is achieved at very small secondary sample support, a feature that is particularly attractive for applications in heterogeneous environments.","PeriodicalId":46573,"journal":{"name":"Journal of Electrical and Computer Engineering","volume":"2010 1","pages":"45"},"PeriodicalIF":2.4,"publicationDate":"2010-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1155/2010/973718","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"64255289","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Youn-Long Steve Lin","authors":"D. Gajski, N. Dutt, A. Wu","doi":"10.1007/978-1-4615-3636-9","DOIUrl":"https://doi.org/10.1007/978-1-4615-3636-9","url":null,"abstract":"","PeriodicalId":46573,"journal":{"name":"Journal of Electrical and Computer Engineering","volume":"67 10","pages":"1-359"},"PeriodicalIF":2.4,"publicationDate":"1992-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/978-1-4615-3636-9","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"51002085","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}