Pub Date : 2017-04-19DOI: 10.1109/SGCF.2017.7947619
E. Yılmaz, Burak Baygüneş
It is possible to carry out activities related to load profiling, energy consumption estimation, planning, taking new investment decisions, managing voltage and energy quality, system efficiency and loss of line with the evaluation of collected data from smart grid. Therefore, it is important to analyze and forecast the smart grid. Energy efficiency in fast-growing countries like Turkey is an important issue. Through analyzes, system efficiency can be improved without making large investments. This paper focuses on design, analysis and optimization of a 1350 MW Combined Cycle Power Plant using Electrical Transient and Analysis Program (ETAP) software. Using ETAP, power flow analysis, short circuit analysis, harmonic analysis and transient stability analysis has been carried out in the system.
{"title":"Design, analysis and optimization of 1350 MW natural gas thermal power plant","authors":"E. Yılmaz, Burak Baygüneş","doi":"10.1109/SGCF.2017.7947619","DOIUrl":"https://doi.org/10.1109/SGCF.2017.7947619","url":null,"abstract":"It is possible to carry out activities related to load profiling, energy consumption estimation, planning, taking new investment decisions, managing voltage and energy quality, system efficiency and loss of line with the evaluation of collected data from smart grid. Therefore, it is important to analyze and forecast the smart grid. Energy efficiency in fast-growing countries like Turkey is an important issue. Through analyzes, system efficiency can be improved without making large investments. This paper focuses on design, analysis and optimization of a 1350 MW Combined Cycle Power Plant using Electrical Transient and Analysis Program (ETAP) software. Using ETAP, power flow analysis, short circuit analysis, harmonic analysis and transient stability analysis has been carried out in the system.","PeriodicalId":207857,"journal":{"name":"2017 5th International Istanbul Smart Grid and Cities Congress and Fair (ICSG)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129104101","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}
Pub Date : 2017-04-19DOI: 10.1109/SGCF.2017.7947615
I. Aydin, M. Karakose, E. Karakose
With the development of technology, smart devices are becoming more common in everyday life. The development of devices that can connect to the Internet and transmit data has been a source of inspiration for smart city designs. The common problem in our cities is the difficulty of finding free parking slots. The parking problem causes traffic to congest and people who go to work are looking for a place. In this study, a navigation and reservation based parking proposal system was developed for smart cities. The proposed method involves the development of small devices that send data to the internet using the internet of things (IoT) technology. The free parking space closest to the current location is found by genetic algorithm. The proposed method is tested for different scenarios and accurate results are obtained.
{"title":"A navigation and reservation based smart parking platform using genetic optimization for smart cities","authors":"I. Aydin, M. Karakose, E. Karakose","doi":"10.1109/SGCF.2017.7947615","DOIUrl":"https://doi.org/10.1109/SGCF.2017.7947615","url":null,"abstract":"With the development of technology, smart devices are becoming more common in everyday life. The development of devices that can connect to the Internet and transmit data has been a source of inspiration for smart city designs. The common problem in our cities is the difficulty of finding free parking slots. The parking problem causes traffic to congest and people who go to work are looking for a place. In this study, a navigation and reservation based parking proposal system was developed for smart cities. The proposed method involves the development of small devices that send data to the internet using the internet of things (IoT) technology. The free parking space closest to the current location is found by genetic algorithm. The proposed method is tested for different scenarios and accurate results are obtained.","PeriodicalId":207857,"journal":{"name":"2017 5th International Istanbul Smart Grid and Cities Congress and Fair (ICSG)","volume":"121 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134122238","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}
Pub Date : 2017-04-19DOI: 10.1109/SGCF.2017.7947618
P. Farhadi, B. Taheri
One of the most practical demand response (DR) programs is time of use (TOU) pricing program. Recently in Iran, TOU-DR program has been initiated by installing three-tariff smart meters, especially for residential complexes. The use of appropriate tariffs in different load time periods, i.e. peak-load, normal-load, and low-load conditions, is of great importance. Tariff pricing should be done such that not only load curves are improved, but the customers satisfaction is also met. In this paper, by modeling the reaction of customers, two new methods are proposed and compared for optimal pricing of electricity tariffs. The proposed techniques are employed on Iran's national power load curve in obtained in 2014. In this research, it is assumed that the system operator has the high and low limits of electricity costs in different time periods. The proposed method is simulated using General Algebraic Modeling System (GAMS) optimization software. The obtained results validate the proposed method effectiveness.
{"title":"Smart meter tariff pricing using load demand response model","authors":"P. Farhadi, B. Taheri","doi":"10.1109/SGCF.2017.7947618","DOIUrl":"https://doi.org/10.1109/SGCF.2017.7947618","url":null,"abstract":"One of the most practical demand response (DR) programs is time of use (TOU) pricing program. Recently in Iran, TOU-DR program has been initiated by installing three-tariff smart meters, especially for residential complexes. The use of appropriate tariffs in different load time periods, i.e. peak-load, normal-load, and low-load conditions, is of great importance. Tariff pricing should be done such that not only load curves are improved, but the customers satisfaction is also met. In this paper, by modeling the reaction of customers, two new methods are proposed and compared for optimal pricing of electricity tariffs. The proposed techniques are employed on Iran's national power load curve in obtained in 2014. In this research, it is assumed that the system operator has the high and low limits of electricity costs in different time periods. The proposed method is simulated using General Algebraic Modeling System (GAMS) optimization software. The obtained results validate the proposed method effectiveness.","PeriodicalId":207857,"journal":{"name":"2017 5th International Istanbul Smart Grid and Cities Congress and Fair (ICSG)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124582270","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}
Pub Date : 2017-04-19DOI: 10.1109/SGCF.2017.7947628
Hakan Yunus Ayirga, Nagihan Kutucu, Ü. Terzi
This paper will study heat engines driven by smart metals also named as Shape Memory Alloys (SMA). It presents studies on contribution to energy production by heat engines driven by SMA using underground thermal water, secondary heat resources of combined cycle natural gas power plants and renewable energy resources. It also studies SMA heat engines with regards to energy conversion.
{"title":"Use of shape memory alloys as smart materials to harvest energy powered by renewable energy resources","authors":"Hakan Yunus Ayirga, Nagihan Kutucu, Ü. Terzi","doi":"10.1109/SGCF.2017.7947628","DOIUrl":"https://doi.org/10.1109/SGCF.2017.7947628","url":null,"abstract":"This paper will study heat engines driven by smart metals also named as Shape Memory Alloys (SMA). It presents studies on contribution to energy production by heat engines driven by SMA using underground thermal water, secondary heat resources of combined cycle natural gas power plants and renewable energy resources. It also studies SMA heat engines with regards to energy conversion.","PeriodicalId":207857,"journal":{"name":"2017 5th International Istanbul Smart Grid and Cities Congress and Fair (ICSG)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115961055","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}
Pub Date : 2017-04-19DOI: 10.1109/SGCF.2017.7947633
M. Karimi, R. Azizipanah‐Abarghooee, H. Uppal, Q. Hong, C. Booth, V. Terzija
In this paper, a smart integrated adaptive centralized controller is proposed for monitoring and controlling integrated renewable energy sources (RESs), both for intentional and unintentional islanding modes of operation for microgrids, as well as, for a variable range of transient load shedding and fault scenarios corresponding to electrical power system outages. It is demonstrated that the proposed smart adaptive controller is capable of instructing fast frequency response by proper coordination of the dispatch of RESs units such as, mini-hydro, Photovoltaic (PV), Battery Energy Storage System (BESS) and standby diesel generators. In particular, the BESS used as power reserve, at the early stage of fault events can prevent detrimental and uncontrollable system frequency decline and the extent of load shedding. In summary, the performance of a centralized controller in terms of a fast frequency response recovery feature is validated for an actual microgrid distribution network of Malaysia. The demonstration of this intelligent control scheme highlights the advantage of utilizing the fast power recovery response of energy storage and standby generator, which fulfil the criteria for minimal load shedding from the main grid, during the unintentional microgrid islanding conditions.
{"title":"Smart integrated adaptive centralized controller for islanded microgrids under minimized load shedding","authors":"M. Karimi, R. Azizipanah‐Abarghooee, H. Uppal, Q. Hong, C. Booth, V. Terzija","doi":"10.1109/SGCF.2017.7947633","DOIUrl":"https://doi.org/10.1109/SGCF.2017.7947633","url":null,"abstract":"In this paper, a smart integrated adaptive centralized controller is proposed for monitoring and controlling integrated renewable energy sources (RESs), both for intentional and unintentional islanding modes of operation for microgrids, as well as, for a variable range of transient load shedding and fault scenarios corresponding to electrical power system outages. It is demonstrated that the proposed smart adaptive controller is capable of instructing fast frequency response by proper coordination of the dispatch of RESs units such as, mini-hydro, Photovoltaic (PV), Battery Energy Storage System (BESS) and standby diesel generators. In particular, the BESS used as power reserve, at the early stage of fault events can prevent detrimental and uncontrollable system frequency decline and the extent of load shedding. In summary, the performance of a centralized controller in terms of a fast frequency response recovery feature is validated for an actual microgrid distribution network of Malaysia. The demonstration of this intelligent control scheme highlights the advantage of utilizing the fast power recovery response of energy storage and standby generator, which fulfil the criteria for minimal load shedding from the main grid, during the unintentional microgrid islanding conditions.","PeriodicalId":207857,"journal":{"name":"2017 5th International Istanbul Smart Grid and Cities Congress and Fair (ICSG)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122998613","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}
Pub Date : 2017-04-19DOI: 10.1109/SGCF.2017.7947622
M. Cankurtaran, E. Karatepe
The present power grid system face a number of challenges associated with the integration of variable renewable generation. In that manner, it is very crucial to plan the delivery of power from all generation sources to meet rapidly growing demand considering clean and sustainable grid and low-cost investment. This paper presents a multistage methodology to handle uncertainties of wind and load for transmission expansion and reactive power planning. In the first, TEP is performed considering N-1 security. In the RPP stages, the capacitors and static var compensators are considered for normal and contingency conditions, respectively. The scenarios based on corresponding confidence intervals of load and wind with certain accuracy are used in each stage. Finally, the obtained network is tested using AC-OPF under worst scenarios to determine whether reinforcement is required or not to avoid any violation. The effectiveness of the proposed method is demonstrated using the IEEE-24 test network.
{"title":"Flexible transmission expansion and reactive power planning with wind energy considering N-1 security","authors":"M. Cankurtaran, E. Karatepe","doi":"10.1109/SGCF.2017.7947622","DOIUrl":"https://doi.org/10.1109/SGCF.2017.7947622","url":null,"abstract":"The present power grid system face a number of challenges associated with the integration of variable renewable generation. In that manner, it is very crucial to plan the delivery of power from all generation sources to meet rapidly growing demand considering clean and sustainable grid and low-cost investment. This paper presents a multistage methodology to handle uncertainties of wind and load for transmission expansion and reactive power planning. In the first, TEP is performed considering N-1 security. In the RPP stages, the capacitors and static var compensators are considered for normal and contingency conditions, respectively. The scenarios based on corresponding confidence intervals of load and wind with certain accuracy are used in each stage. Finally, the obtained network is tested using AC-OPF under worst scenarios to determine whether reinforcement is required or not to avoid any violation. The effectiveness of the proposed method is demonstrated using the IEEE-24 test network.","PeriodicalId":207857,"journal":{"name":"2017 5th International Istanbul Smart Grid and Cities Congress and Fair (ICSG)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125472124","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}
Pub Date : 2017-04-19DOI: 10.1109/SGCF.2017.7947605
Doğan Yildiz, S. Karagol, O. Ozgonenel
Intersection of hyperbolic curves defined by the Time Difference of Arrival (TDOA) is often used in Wireless Sensor Networks (WSNs) to estimate the location of sensors. This paper proposes a new algorithm of this type. The hyperbolic parametric equation and the rotation matrix are used to estimate the location of the target node and rotation, translation and intersection operations are applied. MATLAB simulations on Uniform, Beta, Weibull and Gamma distributed networks showed the optimum combinations of distribution, constant range and anchor percentage.
{"title":"A hyperbolic location algorithm for various distributions of a Wireless Sensor Network","authors":"Doğan Yildiz, S. Karagol, O. Ozgonenel","doi":"10.1109/SGCF.2017.7947605","DOIUrl":"https://doi.org/10.1109/SGCF.2017.7947605","url":null,"abstract":"Intersection of hyperbolic curves defined by the Time Difference of Arrival (TDOA) is often used in Wireless Sensor Networks (WSNs) to estimate the location of sensors. This paper proposes a new algorithm of this type. The hyperbolic parametric equation and the rotation matrix are used to estimate the location of the target node and rotation, translation and intersection operations are applied. MATLAB simulations on Uniform, Beta, Weibull and Gamma distributed networks showed the optimum combinations of distribution, constant range and anchor percentage.","PeriodicalId":207857,"journal":{"name":"2017 5th International Istanbul Smart Grid and Cities Congress and Fair (ICSG)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132021022","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}
Pub Date : 2017-04-19DOI: 10.1109/SGCF.2017.7947611
Mohammed Mahdi, V. M. I. Genç
Early prediction of the transient stability of power systems after fault occurrences has a great impact on the performance of wide area protection and control systems designed against transient instabilities. In this paper, an artificial neural networks based methodology is proposed for predicting the power system stability directly after clearing the fault. A dataset is generated to train a multilayer perceptron off-line, which is then used for early online prediction of any transient instability. The neural network is fed by the inputs, which are the pre-fault, during-fault, and post-fault voltage magnitude measurements collected from the phasor measurement units. The success and the effectiveness of the proposed method are demonstrated, as it is applied to the 37-generator 127-bus power test system and an accuracy above 99% is obtained in the early prediction of transient instabilities.
{"title":"Artificial neural network based algorithm for early prediction of transient stability using wide area measurements","authors":"Mohammed Mahdi, V. M. I. Genç","doi":"10.1109/SGCF.2017.7947611","DOIUrl":"https://doi.org/10.1109/SGCF.2017.7947611","url":null,"abstract":"Early prediction of the transient stability of power systems after fault occurrences has a great impact on the performance of wide area protection and control systems designed against transient instabilities. In this paper, an artificial neural networks based methodology is proposed for predicting the power system stability directly after clearing the fault. A dataset is generated to train a multilayer perceptron off-line, which is then used for early online prediction of any transient instability. The neural network is fed by the inputs, which are the pre-fault, during-fault, and post-fault voltage magnitude measurements collected from the phasor measurement units. The success and the effectiveness of the proposed method are demonstrated, as it is applied to the 37-generator 127-bus power test system and an accuracy above 99% is obtained in the early prediction of transient instabilities.","PeriodicalId":207857,"journal":{"name":"2017 5th International Istanbul Smart Grid and Cities Congress and Fair (ICSG)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127846815","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}
Pub Date : 2017-04-19DOI: 10.1109/SGCF.2017.7947623
A. Mahmood, Asif Raza Butt, Usman Mussadiq, R. Nawaz, Rehman Zafar, S. Razzaq
Appliances scheduling and direct load control are major tools of Demand Side Management (DSM); however, in many scenarios, these tools come to threshold for effective use due to certain limitations. Prosumers are those energy consumers who also produce energy and can share it with grid or other users. Demand-supply gap can be smartly minimized by energy sharing and management with integration of storage system at end users in smart grid environment. In this paper, prosumer based energy sharing and management model with integration of storage system is presented. MATLAB simulations have been performed for validation of the proposed model. Results show that if users are equipped with storage system then demand-supply gap can be reduced remarkably.
{"title":"Energy sharing and management for prosumers in smart grid with integration of storage system","authors":"A. Mahmood, Asif Raza Butt, Usman Mussadiq, R. Nawaz, Rehman Zafar, S. Razzaq","doi":"10.1109/SGCF.2017.7947623","DOIUrl":"https://doi.org/10.1109/SGCF.2017.7947623","url":null,"abstract":"Appliances scheduling and direct load control are major tools of Demand Side Management (DSM); however, in many scenarios, these tools come to threshold for effective use due to certain limitations. Prosumers are those energy consumers who also produce energy and can share it with grid or other users. Demand-supply gap can be smartly minimized by energy sharing and management with integration of storage system at end users in smart grid environment. In this paper, prosumer based energy sharing and management model with integration of storage system is presented. MATLAB simulations have been performed for validation of the proposed model. Results show that if users are equipped with storage system then demand-supply gap can be reduced remarkably.","PeriodicalId":207857,"journal":{"name":"2017 5th International Istanbul Smart Grid and Cities Congress and Fair (ICSG)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122017237","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}
Pub Date : 2017-04-19DOI: 10.1109/SGCF.2017.7947603
A. A. Mahmud, P. Sant
The smart grid is the solution for the outdated current state of the power grid. An Energy Provider (EP) and Energy User (EU) are both looking to achieve savings. A Real-Time (RT) Demand Response (DR) pricing mechanism can reduce an EUs' bill and at the same time reduce the overall peak demand and Peak to Average Ratio (PAR) so that EP save their cost. In this paper, we will provide a model that uses a Price Suggestion Unit (pSU) and Price Control Unit (PCU) that provides Real-Time Price suggestions in the SG; we tested the model with a simultaneous perturbation stochastic approximation (SPSA) algorithm considering the threshold energy consumption with real data by using a stochastic iterative process. The EU has a choice to respond to the price suggestion. However, if they are non-responsive still they can still save on their bill in terms of taking advantage of the overall responses of other EUs.
{"title":"Real-time price savings through price suggestions for the smart grid demand response model","authors":"A. A. Mahmud, P. Sant","doi":"10.1109/SGCF.2017.7947603","DOIUrl":"https://doi.org/10.1109/SGCF.2017.7947603","url":null,"abstract":"The smart grid is the solution for the outdated current state of the power grid. An Energy Provider (EP) and Energy User (EU) are both looking to achieve savings. A Real-Time (RT) Demand Response (DR) pricing mechanism can reduce an EUs' bill and at the same time reduce the overall peak demand and Peak to Average Ratio (PAR) so that EP save their cost. In this paper, we will provide a model that uses a Price Suggestion Unit (pSU) and Price Control Unit (PCU) that provides Real-Time Price suggestions in the SG; we tested the model with a simultaneous perturbation stochastic approximation (SPSA) algorithm considering the threshold energy consumption with real data by using a stochastic iterative process. The EU has a choice to respond to the price suggestion. However, if they are non-responsive still they can still save on their bill in terms of taking advantage of the overall responses of other EUs.","PeriodicalId":207857,"journal":{"name":"2017 5th International Istanbul Smart Grid and Cities Congress and Fair (ICSG)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125148947","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：