Pub Date : 2018-10-01DOI: 10.1109/EPEC.2018.8598314
Albert Ayang, R. Wamkeue, M. Ouhrouche, Boudoue Hubert Malwe
Maximum likelihood is known as optimal method adapted for parameters estimation with process and measurement noise. Experimental data generally contain measurement noise. In this paper, review on modelling photovoltaic (PV) module/array is established first; next, the combination of the optimization method of maximum likelihood estimator (MLE) and Newton Raphson resolution for identifying the five unknown parameters of single diode photovoltaic Module/Array at different types of test conditions is proposed. This predicted method is compared with generalized least square estimator known also as optimization method. It is also compared with popular predictive methods Villalva's and Lambert solution. The proposed method is applied for polycrystalline silicon photovoltaic MSX60 solar module at standard test condition (STC). Two types of comparison are made: first, the dynamic variations of all five parameters values are carried out by graphs and compared in tables with the values found with the other methods (mentioned above); the parameters have converged after up to 150 iterations at STC and the accuracy of estimated parameters is sensitive to the initial parameters of trust region. Secondly, the (I-V) curves are superposed, justifying the accuracy of the proposed method. The comparative errors graphs are also carried out. The results proved the effectiveness of the maximum likelihood estimator, by accuracy parameters of the PV module/array.
{"title":"Maximum Likelihood Parameters Estimation Of Single-Diode Photovoltaic Module/Array: A Comparative Study At STC","authors":"Albert Ayang, R. Wamkeue, M. Ouhrouche, Boudoue Hubert Malwe","doi":"10.1109/EPEC.2018.8598314","DOIUrl":"https://doi.org/10.1109/EPEC.2018.8598314","url":null,"abstract":"Maximum likelihood is known as optimal method adapted for parameters estimation with process and measurement noise. Experimental data generally contain measurement noise. In this paper, review on modelling photovoltaic (PV) module/array is established first; next, the combination of the optimization method of maximum likelihood estimator (MLE) and Newton Raphson resolution for identifying the five unknown parameters of single diode photovoltaic Module/Array at different types of test conditions is proposed. This predicted method is compared with generalized least square estimator known also as optimization method. It is also compared with popular predictive methods Villalva's and Lambert solution. The proposed method is applied for polycrystalline silicon photovoltaic MSX60 solar module at standard test condition (STC). Two types of comparison are made: first, the dynamic variations of all five parameters values are carried out by graphs and compared in tables with the values found with the other methods (mentioned above); the parameters have converged after up to 150 iterations at STC and the accuracy of estimated parameters is sensitive to the initial parameters of trust region. Secondly, the (I-V) curves are superposed, justifying the accuracy of the proposed method. The comparative errors graphs are also carried out. The results proved the effectiveness of the maximum likelihood estimator, by accuracy parameters of the PV module/array.","PeriodicalId":265297,"journal":{"name":"2018 IEEE Electrical Power and Energy Conference (EPEC)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128264962","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 : 2018-10-01DOI: 10.1109/EPEC.2018.8598433
Hongliang Liu, Kalyanraman Ganesan, Mahvar Zarzhami, A. Yazdani, R. Nuqui
Voltage instability associated with heavily-loaded power grids has been one of the concerns in the power industry. Quantitative indices which show the proximity of a system to voltage collapse can help system operators to avoid voltage instability. Application of these indices, however, will need to be examined under dynamically variable conditions in cases such as massive integration of the systems with intermittent renewable generations. This work is an extension of a prior research conducted by the authors in regards to a wide-area loss index (WALI) in a region of interest. The work expands prior research by considering the dynamic models of the system to calculate WALI in real-time. Results of the research show how migration from quasi-steady-state models to dynamic models can impact WALI in real-time.
{"title":"Real- Time Dynamic Voltage Stability Assessment Through a Wide-Area Loss Index","authors":"Hongliang Liu, Kalyanraman Ganesan, Mahvar Zarzhami, A. Yazdani, R. Nuqui","doi":"10.1109/EPEC.2018.8598433","DOIUrl":"https://doi.org/10.1109/EPEC.2018.8598433","url":null,"abstract":"Voltage instability associated with heavily-loaded power grids has been one of the concerns in the power industry. Quantitative indices which show the proximity of a system to voltage collapse can help system operators to avoid voltage instability. Application of these indices, however, will need to be examined under dynamically variable conditions in cases such as massive integration of the systems with intermittent renewable generations. This work is an extension of a prior research conducted by the authors in regards to a wide-area loss index (WALI) in a region of interest. The work expands prior research by considering the dynamic models of the system to calculate WALI in real-time. Results of the research show how migration from quasi-steady-state models to dynamic models can impact WALI in real-time.","PeriodicalId":265297,"journal":{"name":"2018 IEEE Electrical Power and Energy Conference (EPEC)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130781240","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 : 2018-10-01DOI: 10.1109/EPEC.2018.8598390
A. Parizad, M. E. Iranian, A. Yazdani, H. Baghaee, G. Gharehpetian
This paper describes the implementation of squirrel cage induction motor using high level graphical language in LabViewsoftware. The mathematical models of the three-phase induction motor are implemented in LabViewblock diagram pages. These models are in form of differential equations and Runge-Kutta 4th order method is implemented to solve the problem. LabViewFpga module alongside with Xilinx 10.1 compiler will generate the Bitfiles, and then Synthesize, Route and place the logic gates to a FPGA chip. NI PCI-7831R is programmed to communicate with real system as a data acquisition card. This communication is implemented in real time environment (RTX) through Ardence RTX as a multithread and multitasking software. The presented real-time platform provides a versatile and flexible simulation tool for investigating dynamic behaviors of induction machine in different cases and can be extended to many other equipment and subsystems of electrical power systems. To validate implemented squirrel cage induction motor model and also its behavior in LabViewsoftware, human machine interface (HMI) is developed in LabViewfront page. A study case is simulated in LabViewreal-time system and MATLAB/Simulink, as two independent software. Results show that motor characteristics (i.e. speed, torque, and etc.) are in the close correspondence compared to MATLAB outputs and consequently LabVIEW model is verified.
{"title":"Real-Time Implementation of Asynchronous Machine using LabVIEW RTX and FPGA Module","authors":"A. Parizad, M. E. Iranian, A. Yazdani, H. Baghaee, G. Gharehpetian","doi":"10.1109/EPEC.2018.8598390","DOIUrl":"https://doi.org/10.1109/EPEC.2018.8598390","url":null,"abstract":"This paper describes the implementation of squirrel cage induction motor using high level graphical language in LabViewsoftware. The mathematical models of the three-phase induction motor are implemented in LabViewblock diagram pages. These models are in form of differential equations and Runge-Kutta 4th order method is implemented to solve the problem. LabViewFpga module alongside with Xilinx 10.1 compiler will generate the Bitfiles, and then Synthesize, Route and place the logic gates to a FPGA chip. NI PCI-7831R is programmed to communicate with real system as a data acquisition card. This communication is implemented in real time environment (RTX) through Ardence RTX as a multithread and multitasking software. The presented real-time platform provides a versatile and flexible simulation tool for investigating dynamic behaviors of induction machine in different cases and can be extended to many other equipment and subsystems of electrical power systems. To validate implemented squirrel cage induction motor model and also its behavior in LabViewsoftware, human machine interface (HMI) is developed in LabViewfront page. A study case is simulated in LabViewreal-time system and MATLAB/Simulink, as two independent software. Results show that motor characteristics (i.e. speed, torque, and etc.) are in the close correspondence compared to MATLAB outputs and consequently LabVIEW model is verified.","PeriodicalId":265297,"journal":{"name":"2018 IEEE Electrical Power and Energy Conference (EPEC)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132168825","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 : 2018-10-01DOI: 10.1109/EPEC.2018.8598309
Chaofan Lin, Yonglin Chen, Z. Bie
With increasing renewable energies integrated into power grid, the variability and uncertainty in power system are becoming dramatic and unpredictable. Probabilistic Power Flow was proposed to handle the uncertainties, by introducing random variables with specific probability distributions into calculation. However, the current PPF usually adopts correlation coefficient matrix as its correlation model, which is incomplete for probabilistic modelling. And the deterministic distributions in PPF cannot fully describe the randomness of renewable energy. To address the problem, this paper proposed a fuzzy Copula model for building a more complete and real probability model. And based on the fuzzy model, a whole scheme of Fuzzy Probabilistic Power Flow (FPPF) was established. Case study showed that FPPF can help obtain more possible distribution scenarios of objective random variables, indicating its superior reliability and practicability than conventional PPF.
{"title":"A Fuzzy Probabilistic Power Flow Method Based on Fuzzy Copula Model","authors":"Chaofan Lin, Yonglin Chen, Z. Bie","doi":"10.1109/EPEC.2018.8598309","DOIUrl":"https://doi.org/10.1109/EPEC.2018.8598309","url":null,"abstract":"With increasing renewable energies integrated into power grid, the variability and uncertainty in power system are becoming dramatic and unpredictable. Probabilistic Power Flow was proposed to handle the uncertainties, by introducing random variables with specific probability distributions into calculation. However, the current PPF usually adopts correlation coefficient matrix as its correlation model, which is incomplete for probabilistic modelling. And the deterministic distributions in PPF cannot fully describe the randomness of renewable energy. To address the problem, this paper proposed a fuzzy Copula model for building a more complete and real probability model. And based on the fuzzy model, a whole scheme of Fuzzy Probabilistic Power Flow (FPPF) was established. Case study showed that FPPF can help obtain more possible distribution scenarios of objective random variables, indicating its superior reliability and practicability than conventional PPF.","PeriodicalId":265297,"journal":{"name":"2018 IEEE Electrical Power and Energy Conference (EPEC)","volume":"290 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133366160","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 : 2018-10-01DOI: 10.1109/EPEC.2018.8598350
A. Kirakosyan, E. El-Saadany, M. El-Moursi
The comprehensive voltage regulation and power mismatch sharing strategy is presented in this paper. The centralized voltage regulation scheme allows achieving the average voltage regulation during system disturbances. Simultaneously, the accurate power sharing based on the predetermined ratios is achieved between droop controlled converters by means of decentralized controller. The presented approach relies on the communication infrastructure for reaching the mentioned goals. The Cigre B4 test system, which has been developed in the Matlab/ Simulink environment using the SimPowerSystem toolbox, is used to carry out time domain simulations. The results of the simulations demonstrate simultaneous achievement of the mentioned control objectives even in the presence of the large communication delays.
{"title":"Simultaneous voltage regulation and power sharing control algorithm for MTDC grids","authors":"A. Kirakosyan, E. El-Saadany, M. El-Moursi","doi":"10.1109/EPEC.2018.8598350","DOIUrl":"https://doi.org/10.1109/EPEC.2018.8598350","url":null,"abstract":"The comprehensive voltage regulation and power mismatch sharing strategy is presented in this paper. The centralized voltage regulation scheme allows achieving the average voltage regulation during system disturbances. Simultaneously, the accurate power sharing based on the predetermined ratios is achieved between droop controlled converters by means of decentralized controller. The presented approach relies on the communication infrastructure for reaching the mentioned goals. The Cigre B4 test system, which has been developed in the Matlab/ Simulink environment using the SimPowerSystem toolbox, is used to carry out time domain simulations. The results of the simulations demonstrate simultaneous achievement of the mentioned control objectives even in the presence of the large communication delays.","PeriodicalId":265297,"journal":{"name":"2018 IEEE Electrical Power and Energy Conference (EPEC)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132757698","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 : 2018-10-01DOI: 10.1109/EPEC.2018.8598360
Elham Akhavan Rezai, G. Stevens, E. El-Saadany
Given the international focus on microgrids, smart communities and smart city developments, this paper presents the first large-scale fully integrated net-zero energy (NZE) smart community under development in Canada, which creates a showcase for sustainable design and draws society to participate; with the overall goal of developing a new community with minimal impact on the environment. The conceptual microgrid design considerations are illustrated along with discussions and analyses of feasibility indicators such as energy efficiency, system flexibility, renewables penetration, and GHG emission reduction.
{"title":"Microgrid Feasibility Study for Future Smart Communities: A Case Study for London, Ontario","authors":"Elham Akhavan Rezai, G. Stevens, E. El-Saadany","doi":"10.1109/EPEC.2018.8598360","DOIUrl":"https://doi.org/10.1109/EPEC.2018.8598360","url":null,"abstract":"Given the international focus on microgrids, smart communities and smart city developments, this paper presents the first large-scale fully integrated net-zero energy (NZE) smart community under development in Canada, which creates a showcase for sustainable design and draws society to participate; with the overall goal of developing a new community with minimal impact on the environment. The conceptual microgrid design considerations are illustrated along with discussions and analyses of feasibility indicators such as energy efficiency, system flexibility, renewables penetration, and GHG emission reduction.","PeriodicalId":265297,"journal":{"name":"2018 IEEE Electrical Power and Energy Conference (EPEC)","volume":"448 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123202619","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 : 2018-10-01DOI: 10.1109/EPEC.2018.8598281
Ehab Sayed, M. Bakr, B. Bilgin, A. Emadi
In this work, invasive weed optimization (IWO) is applied to optimizing different geometric design parameters of switched reluctance motors in order to maximize the static torque profile. These parameters are stator yoke thickness, rotor yoke thickness, stator teeth height, and rotor teeth height. Structural mapping is utilized for geometric parameterization thus maintaining the same mesh topology. Finite element analysis is used to obtain the motor static torque profile for a complete electrical cycle using a developed in-house MATLAB tool. The achieved results match well those obtained using the JMAG software.
{"title":"Geometric Optimization of Switched Reluctance Motors Using an Invasive Weed Method","authors":"Ehab Sayed, M. Bakr, B. Bilgin, A. Emadi","doi":"10.1109/EPEC.2018.8598281","DOIUrl":"https://doi.org/10.1109/EPEC.2018.8598281","url":null,"abstract":"In this work, invasive weed optimization (IWO) is applied to optimizing different geometric design parameters of switched reluctance motors in order to maximize the static torque profile. These parameters are stator yoke thickness, rotor yoke thickness, stator teeth height, and rotor teeth height. Structural mapping is utilized for geometric parameterization thus maintaining the same mesh topology. Finite element analysis is used to obtain the motor static torque profile for a complete electrical cycle using a developed in-house MATLAB tool. The achieved results match well those obtained using the JMAG software.","PeriodicalId":265297,"journal":{"name":"2018 IEEE Electrical Power and Energy Conference (EPEC)","volume":"116 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116298375","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}
The conventional sources of energy, widely used for generating electricity is depleting and there is rapid growth in electricity demand. Solar energy for electricity generation is popular and widespread as it is clean and abundantly found in nature. Partial shading on solar photovoltaics directly affects performance by reducing the power output of the system. As a contribution to further developments in photovoltaic technologies, factors that affect the performance of photovoltaics, under partial shading conditions were studied to improve the technology. Currently available strategies include the use of bypass diodes, Centralized Maximum Power Point Tracking, Distributed Maximum Power Point Tracking as solutions. Comparison of these methods were done and observed that Distributed Maximum Power Point Tracking gave the optimum solution. A DC-DC converter along with a Maximum Power Point Tracker was interfaced at each PV module which enabled the Maximum Power Point to be tracked. In this paper, a novel algorithm is proposed for optimal configuration of solar panels under partial shading conditions. The simulations were done in Matlab/Simulink.
{"title":"A novel algorithm for performance improvement of solar photovoltaics under partial shading conditions","authors":"M.L.A.R.L. Liyanarachchi, M.L.A.R.L. Liyanarachchi, S.G. Abcvratne","doi":"10.1109/EPEC.2018.8598338","DOIUrl":"https://doi.org/10.1109/EPEC.2018.8598338","url":null,"abstract":"The conventional sources of energy, widely used for generating electricity is depleting and there is rapid growth in electricity demand. Solar energy for electricity generation is popular and widespread as it is clean and abundantly found in nature. Partial shading on solar photovoltaics directly affects performance by reducing the power output of the system. As a contribution to further developments in photovoltaic technologies, factors that affect the performance of photovoltaics, under partial shading conditions were studied to improve the technology. Currently available strategies include the use of bypass diodes, Centralized Maximum Power Point Tracking, Distributed Maximum Power Point Tracking as solutions. Comparison of these methods were done and observed that Distributed Maximum Power Point Tracking gave the optimum solution. A DC-DC converter along with a Maximum Power Point Tracker was interfaced at each PV module which enabled the Maximum Power Point to be tracked. In this paper, a novel algorithm is proposed for optimal configuration of solar panels under partial shading conditions. The simulations were done in Matlab/Simulink.","PeriodicalId":265297,"journal":{"name":"2018 IEEE Electrical Power and Energy Conference (EPEC)","volume":"98 11","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120858605","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 : 2018-10-01DOI: 10.1109/EPEC.2018.8598417
Walied Alharbi, Kankar Bhattacharya
A novel flexibility pricing model (FPM) is proposed in this paper to determine the service price of flexibility provided to the main grid, by an electric vehicle charging facility (EVCF) optimally reinforced with distributed energy resources (DERs). The proposed FPM seeks to achieve a targeted profit of an investor. A flexibility index is introduced to calculate the flexibility in the EVCF load, and hence determine the extent to which the EVCF is flexible, when equipped with DERs. The DER options considered for reinforcement of the EVCF are- energy storage systems (ESS) and rooftop photovoltaic (PV) generation. Case studies considering a 33 bus distribution system are presented and discussed to validate the proposed model.
{"title":"Pricing of Flexibility Provisions from a Reinforced Electric Vehicle Charging Facility with DERs","authors":"Walied Alharbi, Kankar Bhattacharya","doi":"10.1109/EPEC.2018.8598417","DOIUrl":"https://doi.org/10.1109/EPEC.2018.8598417","url":null,"abstract":"A novel flexibility pricing model (FPM) is proposed in this paper to determine the service price of flexibility provided to the main grid, by an electric vehicle charging facility (EVCF) optimally reinforced with distributed energy resources (DERs). The proposed FPM seeks to achieve a targeted profit of an investor. A flexibility index is introduced to calculate the flexibility in the EVCF load, and hence determine the extent to which the EVCF is flexible, when equipped with DERs. The DER options considered for reinforcement of the EVCF are- energy storage systems (ESS) and rooftop photovoltaic (PV) generation. Case studies considering a 33 bus distribution system are presented and discussed to validate the proposed model.","PeriodicalId":265297,"journal":{"name":"2018 IEEE Electrical Power and Energy Conference (EPEC)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116775164","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 : 2018-10-01DOI: 10.1109/EPEC.2018.8598393
R. Shrestha, D. Wagner, I. Al-Anbagi
Distributed Generation (DG) resources could help in mitigating the increase in the electricity demand and the high burden on the central grid by reducing the transmission and distribution power losses. As the name implies, DG resources are in general located in a distributed manner near the load centers. Therefore, choosing a proper site for a new DG is a critical step for its long term efficient power generation. In addition, DG siting involves many factors such as economic, social, environment, geographic, availability of electrical infrastructure, etc. Examples of DGs include, solar panels, micro wind turbines, small hydropower units, fuel cells and Small Modular Reactors (SMRs). In this paper, we introduce a model using the Analytical Hierarchy Process (AHP) and the Fuzzy AHP (FAHP) algorithms to develop a ranking system to choose proper sites for SMR power generation units. We consider electrical and non-electrical loads, existing and retiring generation, transmission lines, switching stations as the location-dependant scenarios for determining suitable locations. We produce more precise results by implementing fuzzy logic based AHP algorithm which deals with the linguistic vagueness and uncertainty of the siting data.
{"title":"Fuzzy AHP-based Siting of Small Modular Reactors for Power Generation in the Smart Grid","authors":"R. Shrestha, D. Wagner, I. Al-Anbagi","doi":"10.1109/EPEC.2018.8598393","DOIUrl":"https://doi.org/10.1109/EPEC.2018.8598393","url":null,"abstract":"Distributed Generation (DG) resources could help in mitigating the increase in the electricity demand and the high burden on the central grid by reducing the transmission and distribution power losses. As the name implies, DG resources are in general located in a distributed manner near the load centers. Therefore, choosing a proper site for a new DG is a critical step for its long term efficient power generation. In addition, DG siting involves many factors such as economic, social, environment, geographic, availability of electrical infrastructure, etc. Examples of DGs include, solar panels, micro wind turbines, small hydropower units, fuel cells and Small Modular Reactors (SMRs). In this paper, we introduce a model using the Analytical Hierarchy Process (AHP) and the Fuzzy AHP (FAHP) algorithms to develop a ranking system to choose proper sites for SMR power generation units. We consider electrical and non-electrical loads, existing and retiring generation, transmission lines, switching stations as the location-dependant scenarios for determining suitable locations. We produce more precise results by implementing fuzzy logic based AHP algorithm which deals with the linguistic vagueness and uncertainty of the siting data.","PeriodicalId":265297,"journal":{"name":"2018 IEEE Electrical Power and Energy Conference (EPEC)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125164379","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}
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