Pub Date : 2015-03-27DOI: 10.1109/ENERGYECONOMICS.2015.7235101
F. Gonzalez-Longatt, C. Carmona-Delgado, J. Riquelme, M. Burgos, J. Rueda
The use of multi-terminal HVDC to integrate wind power coming from the North Sea opens de door for a new transmission system model, the DC-Independent System Operator (DC-ISO). DC-ISO will face highly stressed and varying conditions that requires new risk assessment tools to ensure security of supply. This paper proposes a novel risk-based static security assessment methodology named risk-based DC security assessment (RB-DCSA). It combines a probabilistic approach to include uncertainties and a fuzzy inference system to quantify the systemic and individual component risk associated with operational scenarios considering uncertainties. The proposed methodology is illustrated using a multi-terminal HVDC system where the variability of wind speed at the offshore wind is included.
{"title":"Risk-based DC security assessment for future DC-independent system operator","authors":"F. Gonzalez-Longatt, C. Carmona-Delgado, J. Riquelme, M. Burgos, J. Rueda","doi":"10.1109/ENERGYECONOMICS.2015.7235101","DOIUrl":"https://doi.org/10.1109/ENERGYECONOMICS.2015.7235101","url":null,"abstract":"The use of multi-terminal HVDC to integrate wind power coming from the North Sea opens de door for a new transmission system model, the DC-Independent System Operator (DC-ISO). DC-ISO will face highly stressed and varying conditions that requires new risk assessment tools to ensure security of supply. This paper proposes a novel risk-based static security assessment methodology named risk-based DC security assessment (RB-DCSA). It combines a probabilistic approach to include uncertainties and a fuzzy inference system to quantify the systemic and individual component risk associated with operational scenarios considering uncertainties. The proposed methodology is illustrated using a multi-terminal HVDC system where the variability of wind speed at the offshore wind is included.","PeriodicalId":130355,"journal":{"name":"2015 International Conference on Energy Economics and Environment (ICEEE)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131968036","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 : 2015-03-27DOI: 10.1109/ENERGYECONOMICS.2015.7235102
Kishan Bhushan Sahay
In restructured electricity markets, forecasting electricity parameters are most essential tasks & basis for any decision making. Forecasting price in competitive electricity markets is difficult for consumers and producers in order to plan their operations and to manage their price risk, and it also plays a key role in the economic optimization of the deregulated power industry. Accurate, short-term price forecasting is an essential instrument which provides crucial information for power producers and consumers to develop accurate bidding strategies in order to maximize their profit. In this paper artificial intelligence (AI) has been applied in short-term price forecasting that is, the one hour ahead price forecast of the electricity market. A new artificial neural network (ANN) has been used to compute the forecasted price in Ontario electricity market using MATLAB R13b. The data used in the forecasting are hourly historical data of the electricity load and price of Ontario electricity market. The simulation results have shown highly accurate one hour ahead forecasts with very small error in price forecasting.
{"title":"One hour ahead price forecast of Ontario electricity market by using ANN","authors":"Kishan Bhushan Sahay","doi":"10.1109/ENERGYECONOMICS.2015.7235102","DOIUrl":"https://doi.org/10.1109/ENERGYECONOMICS.2015.7235102","url":null,"abstract":"In restructured electricity markets, forecasting electricity parameters are most essential tasks & basis for any decision making. Forecasting price in competitive electricity markets is difficult for consumers and producers in order to plan their operations and to manage their price risk, and it also plays a key role in the economic optimization of the deregulated power industry. Accurate, short-term price forecasting is an essential instrument which provides crucial information for power producers and consumers to develop accurate bidding strategies in order to maximize their profit. In this paper artificial intelligence (AI) has been applied in short-term price forecasting that is, the one hour ahead price forecast of the electricity market. A new artificial neural network (ANN) has been used to compute the forecasted price in Ontario electricity market using MATLAB R13b. The data used in the forecasting are hourly historical data of the electricity load and price of Ontario electricity market. The simulation results have shown highly accurate one hour ahead forecasts with very small error in price forecasting.","PeriodicalId":130355,"journal":{"name":"2015 International Conference on Energy Economics and Environment (ICEEE)","volume":"150 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134101884","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 : 2015-03-27DOI: 10.1109/ENERGYECONOMICS.2015.7235077
Nitin Kumar, S. Chandel, P. Yadav
A comparative analysis of performance of different solar photovoltaic technologies at Hamirpur Himachal Pradesh, India is presented in this study. Hamirpur receives an average of 4.3 sunshine hours each day over the year. The average temperature ranges between 14°C to 34°C. Four different solar photovoltaic technologies (mono crystalline, polycrystalline, amorphous silicon and CIS) of 10kW each, are considered. Simulation is performed using PVsyst software (version 5.14). Solar resource used in simulation is a real time measured data at Hamirpur for 2013. The annual & monthly performance ratio (PR) are calculated for different modules and a comparison is presented. The cost analysis is done to compare the feasibility of module technology for the considered location. Results show that CIS technology performs considerably better than other three technologies in terms of energy output, performance ratio, capacity factor and economics.
{"title":"Comparative analysis of four different solar photovoltaic technologies","authors":"Nitin Kumar, S. Chandel, P. Yadav","doi":"10.1109/ENERGYECONOMICS.2015.7235077","DOIUrl":"https://doi.org/10.1109/ENERGYECONOMICS.2015.7235077","url":null,"abstract":"A comparative analysis of performance of different solar photovoltaic technologies at Hamirpur Himachal Pradesh, India is presented in this study. Hamirpur receives an average of 4.3 sunshine hours each day over the year. The average temperature ranges between 14°C to 34°C. Four different solar photovoltaic technologies (mono crystalline, polycrystalline, amorphous silicon and CIS) of 10kW each, are considered. Simulation is performed using PVsyst software (version 5.14). Solar resource used in simulation is a real time measured data at Hamirpur for 2013. The annual & monthly performance ratio (PR) are calculated for different modules and a comparison is presented. The cost analysis is done to compare the feasibility of module technology for the considered location. Results show that CIS technology performs considerably better than other three technologies in terms of energy output, performance ratio, capacity factor and economics.","PeriodicalId":130355,"journal":{"name":"2015 International Conference on Energy Economics and Environment (ICEEE)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132776223","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 : 2015-03-27DOI: 10.1109/ENERGYECONOMICS.2015.7235095
R. Mishra, Amit Rai
A simple microstrip patch antenna was first used to study and its resonant frequency and bandwidth were observed. Based on the observations a Frequency Selective Surface (FSS) is proposed to improve the bandwidth, antenna gain and return losses of a patch antenna. Fabricated results of the return losses, radiation pattern and antenna gain of this patch antenna are also presented. Through the Fabricated results it has been proven that the microstrip antenna implanted with an FSS structure containing fractal cross elements has been converted into an antenna with good performance along with sufficient bandwidth and higher gain.
{"title":"Effect of FSS structure on planar patch antenna","authors":"R. Mishra, Amit Rai","doi":"10.1109/ENERGYECONOMICS.2015.7235095","DOIUrl":"https://doi.org/10.1109/ENERGYECONOMICS.2015.7235095","url":null,"abstract":"A simple microstrip patch antenna was first used to study and its resonant frequency and bandwidth were observed. Based on the observations a Frequency Selective Surface (FSS) is proposed to improve the bandwidth, antenna gain and return losses of a patch antenna. Fabricated results of the return losses, radiation pattern and antenna gain of this patch antenna are also presented. Through the Fabricated results it has been proven that the microstrip antenna implanted with an FSS structure containing fractal cross elements has been converted into an antenna with good performance along with sufficient bandwidth and higher gain.","PeriodicalId":130355,"journal":{"name":"2015 International Conference on Energy Economics and Environment (ICEEE)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133495518","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 : 2015-03-27DOI: 10.1109/ENERGYECONOMICS.2015.7235067
Jitendra Singh, S. Goyal
This paper presents a Biogeography Based Optimization (BBO) technique to solve the Economic Load Dispatch problem even as considered the generator and transmission constraints and satisfying it. Biogeography basically is the study of the geographical distribution of the biological organism. Biogeography based optimization is a comparatively new approach. Mathematical models of biogeography explain how an organism arises and how to migrate from one habitat to another habitat, or get died out. In BBO algorithm, solutions are sharing the good features between solutions that are immigration and emigration process. This algorithm looks for the overall optimum solution mostly through two steps - Migration and Mutation. Results are obtained on the different-different population size and different-different number of trials. The Results of the proposed method have been compared with results of IEEE 30-bus, 6 generator system and got the better quality of the obtained solution. This method is one of the important approaches for solving the Economic Load Dispatch problems under practical conditions.
{"title":"Optimization of economic load dispatch problems using biogeography based optimization technique","authors":"Jitendra Singh, S. Goyal","doi":"10.1109/ENERGYECONOMICS.2015.7235067","DOIUrl":"https://doi.org/10.1109/ENERGYECONOMICS.2015.7235067","url":null,"abstract":"This paper presents a Biogeography Based Optimization (BBO) technique to solve the Economic Load Dispatch problem even as considered the generator and transmission constraints and satisfying it. Biogeography basically is the study of the geographical distribution of the biological organism. Biogeography based optimization is a comparatively new approach. Mathematical models of biogeography explain how an organism arises and how to migrate from one habitat to another habitat, or get died out. In BBO algorithm, solutions are sharing the good features between solutions that are immigration and emigration process. This algorithm looks for the overall optimum solution mostly through two steps - Migration and Mutation. Results are obtained on the different-different population size and different-different number of trials. The Results of the proposed method have been compared with results of IEEE 30-bus, 6 generator system and got the better quality of the obtained solution. This method is one of the important approaches for solving the Economic Load Dispatch problems under practical conditions.","PeriodicalId":130355,"journal":{"name":"2015 International Conference on Energy Economics and Environment (ICEEE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129368032","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 : 2015-03-27DOI: 10.1109/ENERGYECONOMICS.2015.7235076
Nagendra Kumar, B. Tyagi, Vishal Kumar
This paper presents automatic generation control (AGC) scheme for deregulated multiarea power system. Initially the performance of the several controllers is checked on three equal thermal area with reheat turbine and delay. Further the effectiveness of controllers is also analyzed for unequal four area hydro-thermal power system with non-reheat and reheat turbines. Various market transactions have been considered for load following in deregulated environment. Controller gains are optimized by using a recent and powerful evolutionary computational technique called big bang big crunch (BBBC) technique. Investigations reveal on comparison that Integral (I), proportional-Integral (PI), Integral-Derivative (ID) all provide same response whereas Proportional-Integral-Derivative (PID) controller provides much better response.
{"title":"Multiarea automatic generation control using BBBC tuned several classical controllers in deregulated environment","authors":"Nagendra Kumar, B. Tyagi, Vishal Kumar","doi":"10.1109/ENERGYECONOMICS.2015.7235076","DOIUrl":"https://doi.org/10.1109/ENERGYECONOMICS.2015.7235076","url":null,"abstract":"This paper presents automatic generation control (AGC) scheme for deregulated multiarea power system. Initially the performance of the several controllers is checked on three equal thermal area with reheat turbine and delay. Further the effectiveness of controllers is also analyzed for unequal four area hydro-thermal power system with non-reheat and reheat turbines. Various market transactions have been considered for load following in deregulated environment. Controller gains are optimized by using a recent and powerful evolutionary computational technique called big bang big crunch (BBBC) technique. Investigations reveal on comparison that Integral (I), proportional-Integral (PI), Integral-Derivative (ID) all provide same response whereas Proportional-Integral-Derivative (PID) controller provides much better response.","PeriodicalId":130355,"journal":{"name":"2015 International Conference on Energy Economics and Environment (ICEEE)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125569973","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 : 2015-03-27DOI: 10.1109/ENERGYECONOMICS.2015.7235113
Rahul Baidya, S. Ghosh, Biswajit Debnath
Waste Electrical and Electronics Equipment(WEEE) recycling is an important approach towards green computing apart from several other approaches like energy consumption, cloud computing. This study focuses on the approaches of green computing and how it can be used to minimize the environmental impacts of computers and other IT related resources effectively by WEEE recycling. This paper tries to answer the following two questions: What are the issues affecting proper implementation of the WEEE recycling as a green computing approach? What are the most important parameters? The study was carried out on the basis of some case studies. Firstly some field study were carried out for identifying the issues pertaining to the WEEE recycling in the IT industry's, secondly priority rating was obtained considering the parameters obtained from the primary research and literature survey, Finally the obtained ratings were analyzed using the analytical hierarchy process (AHP) for prioritizing the different criteria which were affecting the WEEE recycling practices as a green computing approach. There are numerous researches in this field considering the green computing approach but there is hardly any literature available which has considered so many parameters with the AHP analysis for prioritizing the parameters. This research will help the stakeholders in implementing green computing approach with proper recycling of WEEE.
{"title":"Analysis of parameters for green computing approach using the analytical hierarchy process","authors":"Rahul Baidya, S. Ghosh, Biswajit Debnath","doi":"10.1109/ENERGYECONOMICS.2015.7235113","DOIUrl":"https://doi.org/10.1109/ENERGYECONOMICS.2015.7235113","url":null,"abstract":"Waste Electrical and Electronics Equipment(WEEE) recycling is an important approach towards green computing apart from several other approaches like energy consumption, cloud computing. This study focuses on the approaches of green computing and how it can be used to minimize the environmental impacts of computers and other IT related resources effectively by WEEE recycling. This paper tries to answer the following two questions: What are the issues affecting proper implementation of the WEEE recycling as a green computing approach? What are the most important parameters? The study was carried out on the basis of some case studies. Firstly some field study were carried out for identifying the issues pertaining to the WEEE recycling in the IT industry's, secondly priority rating was obtained considering the parameters obtained from the primary research and literature survey, Finally the obtained ratings were analyzed using the analytical hierarchy process (AHP) for prioritizing the different criteria which were affecting the WEEE recycling practices as a green computing approach. There are numerous researches in this field considering the green computing approach but there is hardly any literature available which has considered so many parameters with the AHP analysis for prioritizing the parameters. This research will help the stakeholders in implementing green computing approach with proper recycling of WEEE.","PeriodicalId":130355,"journal":{"name":"2015 International Conference on Energy Economics and Environment (ICEEE)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121226100","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 : 2015-03-27DOI: 10.1109/ENERGYECONOMICS.2015.7235099
Satish Kumar, Ashwani Kumar, N. Sharma
Renewable energy systems are becoming necessary for higher power demands to compensate for maximum demand by the consumer. Wind energy system is one of the methods to generate power in connection with the conventional power systems. But when this wind farm is integrated to the grid system, the stability of the system tends to decrease. In this paper IEEE-14 Bus system using PSAT is used to evaluate the performance of the system, integrated with wind energy system, when subjected to fault. Using PSAT we first build an IEEE-14 bus test system and analyzed the performance by simulation. We introduced a three-phase symmetrical fault at various buses and study the voltage variations in all the buses with respect to time. We have connected a wind turbine at different buses and study the effect of wind power on the transient fault behavior. Our results show that the integration of wind farm has increased the transit stability of the system.
{"title":"Analysis of power flow, continuous power flow and transient stability of IEEE-14 bus integrated wind farm using PSAT","authors":"Satish Kumar, Ashwani Kumar, N. Sharma","doi":"10.1109/ENERGYECONOMICS.2015.7235099","DOIUrl":"https://doi.org/10.1109/ENERGYECONOMICS.2015.7235099","url":null,"abstract":"Renewable energy systems are becoming necessary for higher power demands to compensate for maximum demand by the consumer. Wind energy system is one of the methods to generate power in connection with the conventional power systems. But when this wind farm is integrated to the grid system, the stability of the system tends to decrease. In this paper IEEE-14 Bus system using PSAT is used to evaluate the performance of the system, integrated with wind energy system, when subjected to fault. Using PSAT we first build an IEEE-14 bus test system and analyzed the performance by simulation. We introduced a three-phase symmetrical fault at various buses and study the voltage variations in all the buses with respect to time. We have connected a wind turbine at different buses and study the effect of wind power on the transient fault behavior. Our results show that the integration of wind farm has increased the transit stability of the system.","PeriodicalId":130355,"journal":{"name":"2015 International Conference on Energy Economics and Environment (ICEEE)","volume":"571 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124413418","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 : 2015-03-27DOI: 10.1109/ENERGYECONOMICS.2015.7235115
Pankaj Tripathi, J. Rahul, Nim Anurag Radhamohan
Power system state estimation is one of the function performed in the modern control centers. It is a technique which provides an estimate of system state which is a phasor of voltage magnitude and angles at different nodes of the system. State estimation (SE) is the backbone of energy management system (EMS) by playing important role of monitoring and control of power system. At the energy control centre there may be involvement of imperfect or bad measurement so that state estimation process estimate the true value of the state variable. This paper present study of Weighted Least Square (WLS) method for 6-bus sample power system and IEEE 30-bus power system and our data show its effectiveness.
{"title":"Considering weighted least square techniques on power system state estimation","authors":"Pankaj Tripathi, J. Rahul, Nim Anurag Radhamohan","doi":"10.1109/ENERGYECONOMICS.2015.7235115","DOIUrl":"https://doi.org/10.1109/ENERGYECONOMICS.2015.7235115","url":null,"abstract":"Power system state estimation is one of the function performed in the modern control centers. It is a technique which provides an estimate of system state which is a phasor of voltage magnitude and angles at different nodes of the system. State estimation (SE) is the backbone of energy management system (EMS) by playing important role of monitoring and control of power system. At the energy control centre there may be involvement of imperfect or bad measurement so that state estimation process estimate the true value of the state variable. This paper present study of Weighted Least Square (WLS) method for 6-bus sample power system and IEEE 30-bus power system and our data show its effectiveness.","PeriodicalId":130355,"journal":{"name":"2015 International Conference on Energy Economics and Environment (ICEEE)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130936190","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 : 2015-03-27DOI: 10.1109/ENERGYECONOMICS.2015.7235100
Vivek Prakash, B. Soni, Akash Saxena, Vikas Gupta
Power System Stabilizers (PSSs) are used in very large, complex & interconnected power system in order to damp out low frequency oscillations. Therefore, it is required to utilize most efficient optimization techniques to simplify the small signal stability problem. From this point of view, many successful and powerful optimization methods and algorithms have been employed in formulating and solving this problem. The comparison of performances of three advanced optimization techniques in tuning the parameters of PSS in a New England test system (10 Generator, 39 buses) is presented in this paper. The optimization algorithms considered in this paper for effective analysis and design of PSS for multi-objective, multi-machine power systems are: Social Spider Optimization (SSO), Genetic Algorithm (GA), and Particle Swarm Optimization (PSO). Robustness of proposed technique is analyzed over different type of operating conditions. It is observed that Social Spider Optimization (SSO) is performing better than the other two algorithms.
{"title":"Comparative study of optimization algorithms for enhancement of small signal stability by designing PSS for multi-machine power system","authors":"Vivek Prakash, B. Soni, Akash Saxena, Vikas Gupta","doi":"10.1109/ENERGYECONOMICS.2015.7235100","DOIUrl":"https://doi.org/10.1109/ENERGYECONOMICS.2015.7235100","url":null,"abstract":"Power System Stabilizers (PSSs) are used in very large, complex & interconnected power system in order to damp out low frequency oscillations. Therefore, it is required to utilize most efficient optimization techniques to simplify the small signal stability problem. From this point of view, many successful and powerful optimization methods and algorithms have been employed in formulating and solving this problem. The comparison of performances of three advanced optimization techniques in tuning the parameters of PSS in a New England test system (10 Generator, 39 buses) is presented in this paper. The optimization algorithms considered in this paper for effective analysis and design of PSS for multi-objective, multi-machine power systems are: Social Spider Optimization (SSO), Genetic Algorithm (GA), and Particle Swarm Optimization (PSO). Robustness of proposed technique is analyzed over different type of operating conditions. It is observed that Social Spider Optimization (SSO) is performing better than the other two algorithms.","PeriodicalId":130355,"journal":{"name":"2015 International Conference on Energy Economics and Environment (ICEEE)","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115132614","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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