2017 IEEE PES PowerAfrica最新文献_第7页

Expansion of wind power technology in South Africa: Challenges and opportunities 南非风力发电技术的发展:挑战与机遇

2017 IEEE PES PowerAfrica Pub Date : 2017-06-01 DOI: 10.1109/POWERAFRICA.2017.7991287

P. M. Roque, S. Daniel Chowdhury

{"title":"Expansion of wind power technology in South Africa: Challenges and opportunities","authors":"P. M. Roque, S. Daniel Chowdhury","doi":"10.1109/POWERAFRICA.2017.7991287","DOIUrl":"https://doi.org/10.1109/POWERAFRICA.2017.7991287","url":null,"abstract":"Energy consumption in South Africa (SA) has been increasing significantly in the last decade due to industrialization and growth of households countrywide. In the attempt of increasing power generation, the SA government has been adopting the policy of generating electricity from renewable energy sources and encouraging the emerging of independent power production (IPP) initiatives. However, despite all those efforts, the dream 100% of renewable energy technologies implementation in SA has been slowed down due to technical, socio-economic and environmental challenges. As it is known, all power generation technologies have strengths and weaknesses and renewable energy technologies are not exception. In SA, the integration of wind power in the power system is now an unavoidable issue in order to optimize the utilization of the resource and increase the rates of wind technology installation, which is necessary in order to achieve the goals of sustainability and security of supply [5]. In that context, this research on wind energy technology aims to assess wind power technology's main weakness, to discuss the role of society's distinct segments and disciplines on the wind technology improvement and implementation and to contribute to the achievement of 100% renewable energy technology in South Africa and worldwide.","PeriodicalId":6601,"journal":{"name":"2017 IEEE PES PowerAfrica","volume":"140 1","pages":"560-565"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74233206","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}

引用次数: 0

An improvement of voltage unbalance in a low voltage 11/0.4 kV electric power distribution network under 3-phase unbalance load condition using dynamic voltage restorer 采用动态电压恢复器改善低压11/0.4 kV配电网三相负载不平衡状态下的电压不平衡

2017 IEEE PES PowerAfrica Pub Date : 2017-06-01 DOI: 10.1109/POWERAFRICA.2017.7991211

O. Taiwo, R. Tiako, I. Davidson

{"title":"An improvement of voltage unbalance in a low voltage 11/0.4 kV electric power distribution network under 3-phase unbalance load condition using dynamic voltage restorer","authors":"O. Taiwo, R. Tiako, I. Davidson","doi":"10.1109/POWERAFRICA.2017.7991211","DOIUrl":"https://doi.org/10.1109/POWERAFRICA.2017.7991211","url":null,"abstract":"The compensation of voltage unbalance disturbance in low voltage electric power distribution system using improved d-q-o and PI controller techniques is the focus of this paper. There are several methods to mitigate voltage unbalance. A very effective method of voltage unbalance compensation is the use of dynamic voltage restorer. Dynamic voltage restorer is a series-connected advanced power electronic custom-based tool. It is employed to mitigate voltage disturbances in low voltage electric power distribution network. Dynamic voltage restorer is installed in the network between the source voltage and the loads to correct voltage disturbances affecting the load voltage. This report presents the modelling of dynamic voltage restorer for voltage unbalance correction in a low voltage 11/0.4 kV electric power distribution network using MATLAB/Simulink Sim Power System tool box. Results obtained from simulation with distribution length 0.5 km to 5 km for 3-phase unbalanced loads are within the permissible nominal voltage tolerance of ±5% at the customer's terminal when dynamic voltage restorer is connected to the network. This is not the case when a dynamic voltage restorer is not plugged in. The results obtained demonstrate the effectiveness of this device's performance in improving voltage unbalance in a low voltage electrical power distribution from lengths 0.5 km to 5 km. The balance of the paper discusses some recommendations for an efficient, reliable and cost-effective method for improving voltage profile and reducing the voltage unbalance in 3-phase unbalance load to acceptable standards.","PeriodicalId":6601,"journal":{"name":"2017 IEEE PES PowerAfrica","volume":"3 1","pages":"126-131"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81730362","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}

引用次数: 11

Prediction of biochar yield using adaptive neuro-fuzzy inference system with particle swarm optimization 基于粒子群优化的自适应神经模糊推理系统预测生物炭产量

2017 IEEE PES PowerAfrica Pub Date : 2017-06-01 DOI: 10.1109/POWERAFRICA.2017.7991209

M. A. E. Aziz, Ahmed Monem Hemdan, A. Ewees, M. Elhoseny, A. Shehab, A. Hassanien, Shengwu Xiong

{"title":"Prediction of biochar yield using adaptive neuro-fuzzy inference system with particle swarm optimization","authors":"M. A. E. Aziz, Ahmed Monem Hemdan, A. Ewees, M. Elhoseny, A. Shehab, A. Hassanien, Shengwu Xiong","doi":"10.1109/POWERAFRICA.2017.7991209","DOIUrl":"https://doi.org/10.1109/POWERAFRICA.2017.7991209","url":null,"abstract":"This paper proposed an intelligent approach to predict the biochar yield. The biochar is an important renewable energy that produced from biomass thermochemical processes with yields that depend on different operating conditions. There are some approaches that are used to predict the production of biochar such as least square support vector machine. However, this approach suffers from some drawbacks such as get stuck in local point and high time complexity. In order to avoid these drawbacks, the adaptive neuro-fuzzy inference system approach is used and this approach is trained with a particle swarm optimization algorithm to improve the prediction performance of the biochar. Heating rate, pyrolysis temperature, Moisture content, holding time and sample mass were used as the input parameters and the outputs are biochar mass and biochar yield. The results show that the proposed approach is better than other approaches based on three measures the root mean square error, the coefficient of determination and average absolute percent relative error (0.2673, 0.9842 and 3.4529 respectively).","PeriodicalId":6601,"journal":{"name":"2017 IEEE PES PowerAfrica","volume":"20 1","pages":"115-120"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86857691","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}

引用次数: 63

A hybrid thermo-electric solar based system for energy efficiency in microgrids 微电网能源效率的热电太阳能混合系统

2017 IEEE PES PowerAfrica Pub Date : 2017-06-01 DOI: 10.1109/POWERAFRICA.2017.7991279

T. Sanni, O. Ayo, A. Adoghe, A. Ibhaze

引用次数: 1

Transmission system reliability modeling and assessment for Nigerian electric grid 尼日利亚电网输电系统可靠性建模与评估

2017 IEEE PES PowerAfrica Pub Date : 2017-06-01 DOI: 10.1109/POWERAFRICA.2017.7991197

A. Melodi, J. Momoh, A. Oyinlola

{"title":"Transmission system reliability modeling and assessment for Nigerian electric grid","authors":"A. Melodi, J. Momoh, A. Oyinlola","doi":"10.1109/POWERAFRICA.2017.7991197","DOIUrl":"https://doi.org/10.1109/POWERAFRICA.2017.7991197","url":null,"abstract":"This paper presents transmission grid reliability modeling and assessment that is critical to system reinforcement and expansion. This study explored an analytical approach for application on sub-Saharan African grids, which are fraught with effective expansion planning challenges or know-how. In this study, application of delivery point and system reliability concepts was explored and demonstrated, which involved using relatively known transmission system average interruption duration index (TSAIDI), transmission system average interruption frequency index (TSAIFI) and system average restoration index (SARI). These indices utilize temporal outage duration, outage frequency, and the grid's delivery points population data, which are obtained from system records and used to model the trends and values of TSAIDI, TSAIFI, and SARI for the observed period. Using these indicators in specific algorithm, options of effective long term grid expansion strategy are deducible, such as system lines or network regions requiring reinforcement for improved reliability of service delivery. In conclusion, this study established and demonstrated an effective algorithm for reliability assessment of sub-Saharan grids based on known system oriented indices.","PeriodicalId":6601,"journal":{"name":"2017 IEEE PES PowerAfrica","volume":"14 1","pages":"40-45"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74003102","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}

引用次数: 3

Investigating the effect of Static Synchronous Compensator (STATCOM) for voltage enhancement and transmission line losses mitigation 研究了静态同步补偿器(STATCOM)在提高电压和降低输电线路损耗方面的作用

2017 IEEE PES PowerAfrica Pub Date : 2017-06-01 DOI: 10.1109/POWERAFRICA.2017.7991269

Abayomi Adebiyi, K. Akindeji

引用次数: 7

A review of the impacts and mitigation strategies of high PV penetration in low voltage networks 低压电网中光伏高渗透的影响及缓解策略综述

2017 IEEE PES PowerAfrica Pub Date : 2017-06-01 DOI: 10.1109/POWERAFRICA.2017.7991236

Leonard Mukwekwe, C. Venugopal, I. Davidson

{"title":"A review of the impacts and mitigation strategies of high PV penetration in low voltage networks","authors":"Leonard Mukwekwe, C. Venugopal, I. Davidson","doi":"10.1109/POWERAFRICA.2017.7991236","DOIUrl":"https://doi.org/10.1109/POWERAFRICA.2017.7991236","url":null,"abstract":"There is a general increase in global electricity consumption. As at February 2014, South Africa had a 2.2% electricity consumption increase per annum. Distributed generation with interconnection of renewable energy generation to the electrical grid at the load end of the network is the favored solution to match this demand increase. One of the most abundant forms of renewable energy in Africa is solar energy. On average South Africa receives between 2000 and 2500kwh/m2 of solar energy per annum. In distribution networks, most of this insolation falls on rooftops and goes unused. Advancements in Photovoltaic (PV) technology have made it become a viable energy source that can be used to harness this energy and possibly use it as an energy source to base micro-grids upon. However, the current PV penetration level in the Low Voltage (LV) distribution networks is 20% due to technical problems that arise with higher penetration levels. This paper reviews these technical problems and existing mitigating strategies and proposes a scheme that allows maximum penetration and has a high electricity production potential.","PeriodicalId":6601,"journal":{"name":"2017 IEEE PES PowerAfrica","volume":"1 1","pages":"274-279"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75491673","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}

引用次数: 26

Dynamic simulation comparative study of energy needs for smart positive building using concrete blockwork and clay 混凝土砌块与粘土智能正能量建筑能源需求动态模拟对比研究

2017 IEEE PES PowerAfrica Pub Date : 2017-06-01 DOI: 10.1109/POWERAFRICA.2017.7991297

Benkaddour Salaheddine, A. Hayar

引用次数: 2

Design of a cost effective hybrid renewable energy system for coastal and inland rural community in Africa 为非洲沿海和内陆农村社区设计具有成本效益的混合可再生能源系统

2017 IEEE PES PowerAfrica Pub Date : 2017-06-01 DOI: 10.1109/POWERAFRICA.2017.7991266

N. Lambani, C. Buque, S. Chowdhury

引用次数: 5

Neuro-fuzzy based fault detection identification and location in a distribution network 基于神经模糊的配电网故障检测识别与定位

2017 IEEE PES PowerAfrica Pub Date : 2017-06-01 DOI: 10.1109/POWERAFRICA.2017.7991217

O. Babayomi, P. Oluseyi, Godbless Keku, N. Ofodile

引用次数: 7