Pub Date : 2021-10-12DOI: 10.1109/ETCM53643.2021.9590746
Evelyn Solange Pérez Aguirre, Verónica Emma Soria Maldonado, Lenin Wladimir Aucatoma Guaman, German Vicente Arevalo Bermeo
This paper presents a comparison of the efficiency and computational complexity of successive interference cancellation (SIC) and ordered successive interference cancellation (OSIC) detectors in massive MIMO systems using QAM modulation. The challenge for the signal detectors of these systems is that as the number of antennas increases the detector complexity also increases. Therefore, so is important to have an efficient low-complexity detector. These four detectors are evaluated in a system of 16 antennas in transmission, 64, 100 and 200 antennas in reception using 4 QAM, 16 QAM, and 64QAM modulators, to evaluate the efficiency and computational complexity of each detector by increasing the number of receiving antennas and with different QAM modulation. With the result that increasing the number of antennas and decreasing the modulation index improves the performance of the system, since the higher the gain, the lower the probability of signal loss. The evaluation of the detectors in these systems shows that the OSIC detectors present better performance but have greater computational complexity.
{"title":"Performance and Complexity Analysis of SIC and OSIC Detectors for Massive MIMO Systems","authors":"Evelyn Solange Pérez Aguirre, Verónica Emma Soria Maldonado, Lenin Wladimir Aucatoma Guaman, German Vicente Arevalo Bermeo","doi":"10.1109/ETCM53643.2021.9590746","DOIUrl":"https://doi.org/10.1109/ETCM53643.2021.9590746","url":null,"abstract":"This paper presents a comparison of the efficiency and computational complexity of successive interference cancellation (SIC) and ordered successive interference cancellation (OSIC) detectors in massive MIMO systems using QAM modulation. The challenge for the signal detectors of these systems is that as the number of antennas increases the detector complexity also increases. Therefore, so is important to have an efficient low-complexity detector. These four detectors are evaluated in a system of 16 antennas in transmission, 64, 100 and 200 antennas in reception using 4 QAM, 16 QAM, and 64QAM modulators, to evaluate the efficiency and computational complexity of each detector by increasing the number of receiving antennas and with different QAM modulation. With the result that increasing the number of antennas and decreasing the modulation index improves the performance of the system, since the higher the gain, the lower the probability of signal loss. The evaluation of the detectors in these systems shows that the OSIC detectors present better performance but have greater computational complexity.","PeriodicalId":438567,"journal":{"name":"2021 IEEE Fifth Ecuador Technical Chapters Meeting (ETCM)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129855082","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 : 2021-10-12DOI: 10.1109/ETCM53643.2021.9590774
J. Estrada, O. Camacho
This document presents an Adaptive Sliding Mode Controller fusing TS fuzzy systems and Smith Predictor concepts. A fuzzy multimodel of the plant to overcome the issues due to variable parameters is introduced. A pH neutralization reactor can be locally modeled using empirical models represented, around different operating points, as FOPDT models. Several set points and disturbances are used for testing the proposed approach.
{"title":"Adaptive Sliding Mode Control for a pH Neutralization Reactor: An approach based on Takagi-Sugeno Fuzzy Multimodel","authors":"J. Estrada, O. Camacho","doi":"10.1109/ETCM53643.2021.9590774","DOIUrl":"https://doi.org/10.1109/ETCM53643.2021.9590774","url":null,"abstract":"This document presents an Adaptive Sliding Mode Controller fusing TS fuzzy systems and Smith Predictor concepts. A fuzzy multimodel of the plant to overcome the issues due to variable parameters is introduced. A pH neutralization reactor can be locally modeled using empirical models represented, around different operating points, as FOPDT models. Several set points and disturbances are used for testing the proposed approach.","PeriodicalId":438567,"journal":{"name":"2021 IEEE Fifth Ecuador Technical Chapters Meeting (ETCM)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129355485","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 : 2021-10-12DOI: 10.1109/ETCM53643.2021.9590734
E. Sorrentino, Fravier León
This article analyzes the influence of parameters of Power System Stabilizers (PSS) on power system stability and on speed of voltage recovery. The PSS with speed as single input was selected for this analysis, which is performed with the help of time-domain simulations. The effect of varying the gain and the phase compensation of the PSS is observed through the following attributes: critical clearing time (transient stability), damping of oscillations (small-signal stability), and speed of voltage recovery (large and small perturbations). Two power systems from the literature are taken as examples: the case A is a single-machine/infinite-bus system, and case B is a 3-machine/9-bus system. The results for case A show that the influence of the PSS parameters on critical clearing time is very low whereas their influence on the damping of oscillations and the speed of voltage recovery is important. The results for case B show that the PSS parameters can influence the critical clearing times. In this case, the critical clearing times depend on the gain and the phase compensation of the PSS. Therefore, these results indicate that the PSS should be tuned considering its influence on the three analyzed attributes (critical clearing times, damping of oscillations and speed of voltage recovery).
{"title":"Influence of Parameters of Power System Stabilizers on Power System Stability and Voltage Recovery Speed","authors":"E. Sorrentino, Fravier León","doi":"10.1109/ETCM53643.2021.9590734","DOIUrl":"https://doi.org/10.1109/ETCM53643.2021.9590734","url":null,"abstract":"This article analyzes the influence of parameters of Power System Stabilizers (PSS) on power system stability and on speed of voltage recovery. The PSS with speed as single input was selected for this analysis, which is performed with the help of time-domain simulations. The effect of varying the gain and the phase compensation of the PSS is observed through the following attributes: critical clearing time (transient stability), damping of oscillations (small-signal stability), and speed of voltage recovery (large and small perturbations). Two power systems from the literature are taken as examples: the case A is a single-machine/infinite-bus system, and case B is a 3-machine/9-bus system. The results for case A show that the influence of the PSS parameters on critical clearing time is very low whereas their influence on the damping of oscillations and the speed of voltage recovery is important. The results for case B show that the PSS parameters can influence the critical clearing times. In this case, the critical clearing times depend on the gain and the phase compensation of the PSS. Therefore, these results indicate that the PSS should be tuned considering its influence on the three analyzed attributes (critical clearing times, damping of oscillations and speed of voltage recovery).","PeriodicalId":438567,"journal":{"name":"2021 IEEE Fifth Ecuador Technical Chapters Meeting (ETCM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124344855","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 : 2021-10-12DOI: 10.1109/ETCM53643.2021.9590825
Mike Pinta, Pablo Medina-Pérez, Daniel Riofrío, Noel Pérez, D. Benítez, Ricardo Flores Moyano
Democracies rely on the capability of a country to conduct fair elections. And, fair elections rely on an open participation of candidates and general public. In particular, we explore a way to compare campaign proposals aiding general public to make an informed decision while choosing candidates. This document explores a way to compare campaign proposals through each candidate manifest using natural language processing techniques (i.e. Doc2Vec algorithm). As a linguistic corpus we used all the articles written in Spanish from Wikipedia and we used two models of neural networks, Distributed Bag of Words (DBOW) and Distributed Memory Model (DM). We chose the 2021 Ecuadorian Presidential Elections in its second round and tagged each manifesto paragraph (from the runoff candidates) into the seven domains according to the Manifesto Project. Finally, we compute manifesto comparisons by topic and also as a whole for different vector configurations. Our results indicate that Doc2Vec produces reasonable results while comparing documents but the DBOW model provides better results while dealing with larger documents and the DM model while dealing with smaller ones.
{"title":"Automatic Manifesto Comparison using NLP Techniques and The Manifesto Project Domains - Case Study: 2021 Ecuadorian Presidential Elections","authors":"Mike Pinta, Pablo Medina-Pérez, Daniel Riofrío, Noel Pérez, D. Benítez, Ricardo Flores Moyano","doi":"10.1109/ETCM53643.2021.9590825","DOIUrl":"https://doi.org/10.1109/ETCM53643.2021.9590825","url":null,"abstract":"Democracies rely on the capability of a country to conduct fair elections. And, fair elections rely on an open participation of candidates and general public. In particular, we explore a way to compare campaign proposals aiding general public to make an informed decision while choosing candidates. This document explores a way to compare campaign proposals through each candidate manifest using natural language processing techniques (i.e. Doc2Vec algorithm). As a linguistic corpus we used all the articles written in Spanish from Wikipedia and we used two models of neural networks, Distributed Bag of Words (DBOW) and Distributed Memory Model (DM). We chose the 2021 Ecuadorian Presidential Elections in its second round and tagged each manifesto paragraph (from the runoff candidates) into the seven domains according to the Manifesto Project. Finally, we compute manifesto comparisons by topic and also as a whole for different vector configurations. Our results indicate that Doc2Vec produces reasonable results while comparing documents but the DBOW model provides better results while dealing with larger documents and the DM model while dealing with smaller ones.","PeriodicalId":438567,"journal":{"name":"2021 IEEE Fifth Ecuador Technical Chapters Meeting (ETCM)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131396118","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 : 2021-10-12DOI: 10.1109/ETCM53643.2021.9590728
Emilia Abigail Meza P, María Fernanda Trujillo G, A. Acosta
This paper proposes a tool for studying the relationship of surface electromyography between healthy people and someone with some pathology in the lower limb. Support Vector Machine SVM is used to classify electro myographic signals because models are robust to overfitting. For the lower limb, analysis has been taken the EMG Dataset from UCI Machine Learning [1]. This database contains signals from 11 subj ects with knee abnormality and 11 normally, previously diagnosed by a professional. They undergo three movements to analyze the behavior associated with the lower limb, gait, leg extension from a sitting position, and flexion of the leg up. Analysis was divided into 4 stages: preprocessing, features extraction, training, and validation. Several conventional electromyography features are used in performance comparison with it combined with Enhanced features. Based on results obtained by algorithms with different Kernel the Support Vector Machine model provided by MATLAB® Classification Learner app achieves the highest accuracy of 96.7%.
{"title":"Recognizing Lower Limb Pathology Thought An EMG Classification Model","authors":"Emilia Abigail Meza P, María Fernanda Trujillo G, A. Acosta","doi":"10.1109/ETCM53643.2021.9590728","DOIUrl":"https://doi.org/10.1109/ETCM53643.2021.9590728","url":null,"abstract":"This paper proposes a tool for studying the relationship of surface electromyography between healthy people and someone with some pathology in the lower limb. Support Vector Machine SVM is used to classify electro myographic signals because models are robust to overfitting. For the lower limb, analysis has been taken the EMG Dataset from UCI Machine Learning [1]. This database contains signals from 11 subj ects with knee abnormality and 11 normally, previously diagnosed by a professional. They undergo three movements to analyze the behavior associated with the lower limb, gait, leg extension from a sitting position, and flexion of the leg up. Analysis was divided into 4 stages: preprocessing, features extraction, training, and validation. Several conventional electromyography features are used in performance comparison with it combined with Enhanced features. Based on results obtained by algorithms with different Kernel the Support Vector Machine model provided by MATLAB® Classification Learner app achieves the highest accuracy of 96.7%.","PeriodicalId":438567,"journal":{"name":"2021 IEEE Fifth Ecuador Technical Chapters Meeting (ETCM)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124571853","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 : 2021-10-12DOI: 10.1109/ETCM53643.2021.9590738
J. Castillo-Velazquez, Juan Ramos-Estela, W. Marchand-Niño
In this work, a traditional network or a hardware defined network is compared to a software defined network given a specific backbone topology. Authors choose REUNA, the advanced network for Chile, a dynamic backbone topology which has evolved respect to backbone routers and bandwidth. GNS3 is used to emulate REUNA backbone topology as a traditional physical environment, on the other side Mininet is used to emulate SDN environment, both under IPv6 protocols. Fully connectivity and then streaming were tested detailing as parameters CPU, RAM, and BW usage. Results shows capabilities and limitations for GNS3 and Mininet when comparing both implementation environments, but also pros and cons for SDN and traditional networks.
{"title":"Comparison for the Hardware Defined Networks vs the Software Defined Networks Environments for IPv6 When Applied to the Backbone of the Advanced Network REUNA.","authors":"J. Castillo-Velazquez, Juan Ramos-Estela, W. Marchand-Niño","doi":"10.1109/ETCM53643.2021.9590738","DOIUrl":"https://doi.org/10.1109/ETCM53643.2021.9590738","url":null,"abstract":"In this work, a traditional network or a hardware defined network is compared to a software defined network given a specific backbone topology. Authors choose REUNA, the advanced network for Chile, a dynamic backbone topology which has evolved respect to backbone routers and bandwidth. GNS3 is used to emulate REUNA backbone topology as a traditional physical environment, on the other side Mininet is used to emulate SDN environment, both under IPv6 protocols. Fully connectivity and then streaming were tested detailing as parameters CPU, RAM, and BW usage. Results shows capabilities and limitations for GNS3 and Mininet when comparing both implementation environments, but also pros and cons for SDN and traditional networks.","PeriodicalId":438567,"journal":{"name":"2021 IEEE Fifth Ecuador Technical Chapters Meeting (ETCM)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127719687","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 : 2021-10-12DOI: 10.1109/ETCM53643.2021.9590689
Mario Peña, L. Lanzarini, M. Cerrada, Diego Cabrera, Réne-Vinicio Sánchez
Condition-based maintenance aims to determine the machine state in real time, by monitoring the signals it emits. Such signals are potentially unlimited, generated at a high rate, and can evolve over time. These conditions tend to produce changes in the distribution of the data, known as concept drift. This phenomenon is analyzed and used to establish changes in the state of the machine. The present article proposes a methodological framework for the diagnosis of fault severity based on concept drift. A parsimonious unsupervised algorithm based on KNN is proposed to detect concept evolution. The results show that the algorithm is quite effective in declaring a concept evolution that is associated with a change in the failure condition of the machine. Finally, the results show that there is a high correlation between the displacement of the centroids of the emerging concepts and the % of deterioration of the machine.
{"title":"Data-Driven Gearbox Fault Severity Diagnosis Based on Concept Drift","authors":"Mario Peña, L. Lanzarini, M. Cerrada, Diego Cabrera, Réne-Vinicio Sánchez","doi":"10.1109/ETCM53643.2021.9590689","DOIUrl":"https://doi.org/10.1109/ETCM53643.2021.9590689","url":null,"abstract":"Condition-based maintenance aims to determine the machine state in real time, by monitoring the signals it emits. Such signals are potentially unlimited, generated at a high rate, and can evolve over time. These conditions tend to produce changes in the distribution of the data, known as concept drift. This phenomenon is analyzed and used to establish changes in the state of the machine. The present article proposes a methodological framework for the diagnosis of fault severity based on concept drift. A parsimonious unsupervised algorithm based on KNN is proposed to detect concept evolution. The results show that the algorithm is quite effective in declaring a concept evolution that is associated with a change in the failure condition of the machine. Finally, the results show that there is a high correlation between the displacement of the centroids of the emerging concepts and the % of deterioration of the machine.","PeriodicalId":438567,"journal":{"name":"2021 IEEE Fifth Ecuador Technical Chapters Meeting (ETCM)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117078278","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 : 2021-10-12DOI: 10.1109/ETCM53643.2021.9590773
Geovanny Satama-Bermeo, Karol Quilachamín, Álvaro Torres, M. Loza, Alberto Sánchez
This paper presents the development of a simulation tool using MATLAB for the Bergman, Hovorka and Cobelli mathematical models for the glucose-insulin interaction with the aim to analyze their responses in managing Type 1 Diabetes Mellitus. PID controllers for each model were implemented to regulate normoglucemia levels using exogenous insulin. Each model was tested for different scenarios in terms of carbohydrates grams and patient weight. The tool implements a GUI which allows for analysis of the different responses of each model and their comparison.
{"title":"Simulation and Comparison of Glucose-insulin Models for Type 1 Diabetes Virtual Patient","authors":"Geovanny Satama-Bermeo, Karol Quilachamín, Álvaro Torres, M. Loza, Alberto Sánchez","doi":"10.1109/ETCM53643.2021.9590773","DOIUrl":"https://doi.org/10.1109/ETCM53643.2021.9590773","url":null,"abstract":"This paper presents the development of a simulation tool using MATLAB for the Bergman, Hovorka and Cobelli mathematical models for the glucose-insulin interaction with the aim to analyze their responses in managing Type 1 Diabetes Mellitus. PID controllers for each model were implemented to regulate normoglucemia levels using exogenous insulin. Each model was tested for different scenarios in terms of carbohydrates grams and patient weight. The tool implements a GUI which allows for analysis of the different responses of each model and their comparison.","PeriodicalId":438567,"journal":{"name":"2021 IEEE Fifth Ecuador Technical Chapters Meeting (ETCM)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124412599","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 : 2021-10-12DOI: 10.1109/ETCM53643.2021.9590804
J. Aller, Christian P. Amendaño, Modesto R. Chuñir, J. Viola, J. Restrepo
This paper presents the modeling of a Wind Energy Conversion System (WECS) using a self-excited induction generator (SEIG) coupled to the grid with a predictive Direct Power Controller (DPC), applying an optimal space vector selection technique. The self-excitation of the induction generator is obtained with a Direct Torque Controller (DTC) which allows controlling the machine's space vector flux and electric torque. On the other hand, the power system coupling is with a Direct Power Controller (DPC), that selects the voltage space vectors required to minimize the active and reactive power errors to the reference. The advantage of the optimum DPC scheme proposed in this work is the fast adjustment of the active and reactive powers to the references, compared with speed obtained using the inverter's PLL synchronization method.
{"title":"Wind Energy Conversion System using a Squirrel Cage Induction Generator Coupled to the Network with a Predictive DPC","authors":"J. Aller, Christian P. Amendaño, Modesto R. Chuñir, J. Viola, J. Restrepo","doi":"10.1109/ETCM53643.2021.9590804","DOIUrl":"https://doi.org/10.1109/ETCM53643.2021.9590804","url":null,"abstract":"This paper presents the modeling of a Wind Energy Conversion System (WECS) using a self-excited induction generator (SEIG) coupled to the grid with a predictive Direct Power Controller (DPC), applying an optimal space vector selection technique. The self-excitation of the induction generator is obtained with a Direct Torque Controller (DTC) which allows controlling the machine's space vector flux and electric torque. On the other hand, the power system coupling is with a Direct Power Controller (DPC), that selects the voltage space vectors required to minimize the active and reactive power errors to the reference. The advantage of the optimum DPC scheme proposed in this work is the fast adjustment of the active and reactive powers to the references, compared with speed obtained using the inverter's PLL synchronization method.","PeriodicalId":438567,"journal":{"name":"2021 IEEE Fifth Ecuador Technical Chapters Meeting (ETCM)","volume":"175 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123270816","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 : 2021-10-12DOI: 10.1109/ETCM53643.2021.9590707
Peter Vallejo-Correa, Carlos Barrera-Singaña, A. Valenzuela
The economic operation of hydrothermal systems is one of the most challenging problems in the area of power systems because it is a non-linear and non-convex problem. The use of heuristic optimization methods are an attractive alternative to traditional deterministic methods by offering excellent quality in their results with an implementation that is characterized by having a simple concept. This document solves the hydrothermal coordination problem considering the hydraulic coupling of hydroelectric power plants and the valve point effect in thermal power plants using genetic algorithms (GA), the novel grey wolf algorithm (GWO) and particle swarm optimization method (PSO). In addition, different Key Performance Indicators are proposed to validate the performance achieved by each heuristic technique applied to the planning of the economic dispatch of a multiple set of thermal and hydroelectric power plants for a daily scheduling horizon of 24-hour.
{"title":"Evaluation of Heuristic Techniques for Solving the Short-Term Hydrothermal Scheduling based on Key Performance Indicators (KPIs)","authors":"Peter Vallejo-Correa, Carlos Barrera-Singaña, A. Valenzuela","doi":"10.1109/ETCM53643.2021.9590707","DOIUrl":"https://doi.org/10.1109/ETCM53643.2021.9590707","url":null,"abstract":"The economic operation of hydrothermal systems is one of the most challenging problems in the area of power systems because it is a non-linear and non-convex problem. The use of heuristic optimization methods are an attractive alternative to traditional deterministic methods by offering excellent quality in their results with an implementation that is characterized by having a simple concept. This document solves the hydrothermal coordination problem considering the hydraulic coupling of hydroelectric power plants and the valve point effect in thermal power plants using genetic algorithms (GA), the novel grey wolf algorithm (GWO) and particle swarm optimization method (PSO). In addition, different Key Performance Indicators are proposed to validate the performance achieved by each heuristic technique applied to the planning of the economic dispatch of a multiple set of thermal and hydroelectric power plants for a daily scheduling horizon of 24-hour.","PeriodicalId":438567,"journal":{"name":"2021 IEEE Fifth Ecuador Technical Chapters Meeting (ETCM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131286852","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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