In this paper, a Whale Optimization Algorithm (WOA) based PI controller is designed for Shunt Active Power Filter (SAPF). For estimating the harmonic current injected in source by non-linear load, self-tuning filter is used. To control the DC-link voltage to a constant value, a PI controller is used. The gains of the controller (KP and KI) are tuned using WOA such that tracking performance can be improved. While for generating gate signal a simple Pulse Width Modulation (PWM) technique has been used. To verify this control method a simulation model has been designed and simulated in MATLAB/SIMULINK. The obtained results are compared with the conventional method used for obtaining the parameter values of this controller. The result shows that this proposed method gives better results in suppressing the harmonic pollution in the system.
{"title":"A Whale Optimization Algorithm Based Shunt Active Power Filter for Power Quality Improvement","authors":"Abhishek Srivastava, D. Das","doi":"10.18178/ijoee.6.1.7-12","DOIUrl":"https://doi.org/10.18178/ijoee.6.1.7-12","url":null,"abstract":"In this paper, a Whale Optimization Algorithm (WOA) based PI controller is designed for Shunt Active Power Filter (SAPF). For estimating the harmonic current injected in source by non-linear load, self-tuning filter is used. To control the DC-link voltage to a constant value, a PI controller is used. The gains of the controller (KP and KI) are tuned using WOA such that tracking performance can be improved. While for generating gate signal a simple Pulse Width Modulation (PWM) technique has been used. To verify this control method a simulation model has been designed and simulated in MATLAB/SIMULINK. The obtained results are compared with the conventional method used for obtaining the parameter values of this controller. The result shows that this proposed method gives better results in suppressing the harmonic pollution in the system.","PeriodicalId":13951,"journal":{"name":"International Journal of Electrical Energy","volume":"43 1","pages":"7-12"},"PeriodicalIF":0.0,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82545482","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 : 2018-01-01DOI: 10.18178/IJOEE.6.1.41-46
Guangsong Hou, Wu Yanda, Zhen Ying, Deng Jingfang, Kejun Li, Mingqiang Wang
Network reconfiguration technology is one of the most important means to realize the self-healing control function of intelligent distribution network, and the key point of which is avoiding infeasible solution. This paper puts forward the concept of branch groups and analyse the defects of existing network reconfiguration algorithm according to the requirements of the distribution network and the characteristics of the harmony algorithm. The system topology is coded so that it can be effectively integrated with the intelligent optimization algorithm. Taking the harmony algorithm as an example, this paper gives the implementation steps of the algorithm and the four branch break rules. IEEE 33-node system example results show that this paper summarizes the situation of infeasible solutions into five kinds, which improves the search efficiency compared to the existing method. At the same time, it avoids missing viable solutions and ensures the spatial completeness of solutions. It effectively improves the speed of network reconfiguration and the search ability of global optimal solution.
{"title":"A Fast Method of Removing Infeasible Solutions for Distribution Systems Reconfiguration","authors":"Guangsong Hou, Wu Yanda, Zhen Ying, Deng Jingfang, Kejun Li, Mingqiang Wang","doi":"10.18178/IJOEE.6.1.41-46","DOIUrl":"https://doi.org/10.18178/IJOEE.6.1.41-46","url":null,"abstract":"Network reconfiguration technology is one of the most important means to realize the self-healing control function of intelligent distribution network, and the key point of which is avoiding infeasible solution. This paper puts forward the concept of branch groups and analyse the defects of existing network reconfiguration algorithm according to the requirements of the distribution network and the characteristics of the harmony algorithm. The system topology is coded so that it can be effectively integrated with the intelligent optimization algorithm. Taking the harmony algorithm as an example, this paper gives the implementation steps of the algorithm and the four branch break rules. IEEE 33-node system example results show that this paper summarizes the situation of infeasible solutions into five kinds, which improves the search efficiency compared to the existing method. At the same time, it avoids missing viable solutions and ensures the spatial completeness of solutions. It effectively improves the speed of network reconfiguration and the search ability of global optimal solution. ","PeriodicalId":13951,"journal":{"name":"International Journal of Electrical Energy","volume":"18 1","pages":"41-46"},"PeriodicalIF":0.0,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74493391","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 : 2018-01-01DOI: 10.18178/ijoee.6.2.79-87
Chuanchao Zhang
Data de-noising is a necessary part of health management, and it is the premise and foundation of effective feature extraction, condition monitoring and fault diagnosis for aero-engine. Random noise can cause serious interference to effective signals, and even lead to signal distortion and misdiagnosis of health condition. In view of the contradiction between the limited computing power of aircraft airborne system and the large amount of data processing, an blocked wavelet de-noising algorithm for large data is proposed based on the principle of data splitting theory and the wavelet theory under the multiple constraints of large data, high de-noising precision and fast processing speed. The algorithm used data splitting principle to split large data into small data sets, reduced the computational requirements of large data, and accelerated the speed of wavelet de-noising. The processing results of the theoretical data and the actual airborne aero-engine monitoring data showed that, compared with the traditional algorithms, the algorithm can protect the effective information and maintain the same de-noising accuracy, and the data de-noising time in the aero engine health monitoring data environment was accelerated by 4 times at least.
{"title":"Blocked and Accelerated Wavelet De-noising Algorithm Based on Data Splitting and Wavelet Analysis in Large Data Environment for Aero-Engine Health Monitoring","authors":"Chuanchao Zhang","doi":"10.18178/ijoee.6.2.79-87","DOIUrl":"https://doi.org/10.18178/ijoee.6.2.79-87","url":null,"abstract":"Data de-noising is a necessary part of health management, and it is the premise and foundation of effective feature extraction, condition monitoring and fault diagnosis for aero-engine. Random noise can cause serious interference to effective signals, and even lead to signal distortion and misdiagnosis of health condition. In view of the contradiction between the limited computing power of aircraft airborne system and the large amount of data processing, an blocked wavelet de-noising algorithm for large data is proposed based on the principle of data splitting theory and the wavelet theory under the multiple constraints of large data, high de-noising precision and fast processing speed. The algorithm used data splitting principle to split large data into small data sets, reduced the computational requirements of large data, and accelerated the speed of wavelet de-noising. The processing results of the theoretical data and the actual airborne aero-engine monitoring data showed that, compared with the traditional algorithms, the algorithm can protect the effective information and maintain the same de-noising accuracy, and the data de-noising time in the aero engine health monitoring data environment was accelerated by 4 times at least. ","PeriodicalId":13951,"journal":{"name":"International Journal of Electrical Energy","volume":"39 1","pages":"79-87"},"PeriodicalIF":0.0,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77410653","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 : 2018-01-01DOI: 10.18178/IJOEE.6.2.64-73
S. Gasnier, Aymeric André, S. Poullain, V. Debusschere, B. Francois, P. Egrot
Accurate cable modeling is a recurrent issue for electric architecture evaluation and design, especially in specific contexts, like offshore wind farms. This paper proposes optimal analytical cable models for the technical and economic assessment of offshore wind generation systems. Proposed models evaluate the electrical and thermal behaviors of cables, as components of the complete offshore wind generation transmission system. The cost effectiveness of the latter is assessed by considering both CAPEX and OPEX contributions. A comparison with published models is also presented, and illustrated on various cable designs. Among others, we can see that the greater the section, the more interesting the simplification model is. Also, we checked that the model proposed by Brakelmann is correct in DC. For all other cases, the model, based on standards, is preferred. The proposed paper goes beyond cables modeling by describing an assessment method based on specific cables modeling, allowing the choice of cables within a holistic assessment tool bringing decision support regarding optimal design of offshore wind farm grid connection. A system assessment based on the proposed model is presented, for a typical HVAC architecture.
{"title":"Models of AC and DC Cable Systems for Technical and Economic Evaluation of Offshore Wind Farm Connection","authors":"S. Gasnier, Aymeric André, S. Poullain, V. Debusschere, B. Francois, P. Egrot","doi":"10.18178/IJOEE.6.2.64-73","DOIUrl":"https://doi.org/10.18178/IJOEE.6.2.64-73","url":null,"abstract":"Accurate cable modeling is a recurrent issue for electric architecture evaluation and design, especially in specific contexts, like offshore wind farms. This paper proposes optimal analytical cable models for the technical and economic assessment of offshore wind generation systems. Proposed models evaluate the electrical and thermal behaviors of cables, as components of the complete offshore wind generation transmission system. The cost effectiveness of the latter is assessed by considering both CAPEX and OPEX contributions. A comparison with published models is also presented, and illustrated on various cable designs. Among others, we can see that the greater the section, the more interesting the simplification model is. Also, we checked that the model proposed by Brakelmann is correct in DC. For all other cases, the model, based on standards, is preferred. The proposed paper goes beyond cables modeling by describing an assessment method based on specific cables modeling, allowing the choice of cables within a holistic assessment tool bringing decision support regarding optimal design of offshore wind farm grid connection. A system assessment based on the proposed model is presented, for a typical HVAC architecture. ","PeriodicalId":13951,"journal":{"name":"International Journal of Electrical Energy","volume":"30 1","pages":"64-73"},"PeriodicalIF":0.0,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87102175","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 : 2018-01-01DOI: 10.18178/IJOEE.6.2.92-96
Raja Dweyndo Hasintongan Gurning, I. Garniwa, Arum Kusuma Wardhany
Industrial sector is the third biggest energy consumption comes after household and transportation energy in Indonesia. To reduce the energy consumption of industry and also impact to reduce the manufacturing cost of the industry, solar photovoltaic on the rooftop of the factory can be an alternative solution to supply energy at engine assembly line, one section of production at the factory. This paper studies about the impact of utilization stand-alone photovoltaic at rooftop of factory building in Jakarta technically. The analysis is using spreadsheet program to compare between stand-alone photovoltaic with battery, stand-alone photovoltaic with diesel generator that operate only when there is no sunshine, and stand-alone photovoltaic with diesel generator that always operating. Simulation demonstrates with estimated available area 7.000 m2 to install photovoltaic array. Result of this research is the stand-alone photovoltaic scenario with battery fulfilled all the demand load by 947,17 kWp installed photovoltaic capacity. The scenarios with diesel generator reduced the photovoltaic generation contribution by 49,25% for 676,69 kWp installed photovoltaic capacity, and diesel generation operating tandem with 297,92 kWp installed photovoltaic capacity that contribute to 33,09% for fulfillment energy demand. The reduced capacity of photovoltaic that installed, the less contribution generation by renewable energy, and the less area that needed to be utilized for photovoltaic system.
{"title":"Analysis of Stand-Alone Solar Photovoltaic System for Engine Assembly Line at Manufacturing Factory in Indonesia","authors":"Raja Dweyndo Hasintongan Gurning, I. Garniwa, Arum Kusuma Wardhany","doi":"10.18178/IJOEE.6.2.92-96","DOIUrl":"https://doi.org/10.18178/IJOEE.6.2.92-96","url":null,"abstract":"Industrial sector is the third biggest energy consumption comes after household and transportation energy in Indonesia. To reduce the energy consumption of industry and also impact to reduce the manufacturing cost of the industry, solar photovoltaic on the rooftop of the factory can be an alternative solution to supply energy at engine assembly line, one section of production at the factory. This paper studies about the impact of utilization stand-alone photovoltaic at rooftop of factory building in Jakarta technically. The analysis is using spreadsheet program to compare between stand-alone photovoltaic with battery, stand-alone photovoltaic with diesel generator that operate only when there is no sunshine, and stand-alone photovoltaic with diesel generator that always operating. Simulation demonstrates with estimated available area 7.000 m2 to install photovoltaic array. Result of this research is the stand-alone photovoltaic scenario with battery fulfilled all the demand load by 947,17 kWp installed photovoltaic capacity. The scenarios with diesel generator reduced the photovoltaic generation contribution by 49,25% for 676,69 kWp installed photovoltaic capacity, and diesel generation operating tandem with 297,92 kWp installed photovoltaic capacity that contribute to 33,09% for fulfillment energy demand. The reduced capacity of photovoltaic that installed, the less contribution generation by renewable energy, and the less area that needed to be utilized for photovoltaic system.","PeriodicalId":13951,"journal":{"name":"International Journal of Electrical Energy","volume":"34 1","pages":"92-96"},"PeriodicalIF":0.0,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89131458","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 : 2018-01-01DOI: 10.18178/IJOEE.6.2.57-63
E. Sukjit, Somkiat Maithomklang, Natthaphon Trirak, Niti Klinkaew
Castor oil which is produced from non-food crop and contains high proportion of ricinoleic acid was added to ethanol-diesel blend, forming the ternary blend. The extremely high viscosity and good lubricating properties of castor oil were expected to restore the substantial reduction in such fuel properties due to the presence of ethanol in the blend. The basic physical and chemical properties of the test fuels were measured according to ASTM standards and the engine test was conducted on a four-cylinder direct injection diesel engine with naturally aspirated and water-cooled system. The experimental results showed that the high viscosity, density, flash point of castor oil can help to improve the properties of the fuel blend due to some poor properties of ethanol leading to keep the fuel properties of the ternary blend under the limit of diesel fuel specifications. The emission benefits of the reduction in CO, NOx and smoke emissions were obtained by the combustion of the ternary blend without the significant increase in THC emissions at high engine operating loads, compared to diesel fuel combustion. It is evident that the incorporation of castor oil and ethanol as blend components to reduce the use of diesel fuel for compression ignition engines is a feasible alternative for next generation fuels.
{"title":"Emission Benefits from the Use of Castor Oil in a Compression Ignition Engine Fuelled with Diesel-Ethanol Blends","authors":"E. Sukjit, Somkiat Maithomklang, Natthaphon Trirak, Niti Klinkaew","doi":"10.18178/IJOEE.6.2.57-63","DOIUrl":"https://doi.org/10.18178/IJOEE.6.2.57-63","url":null,"abstract":"Castor oil which is produced from non-food crop and contains high proportion of ricinoleic acid was added to ethanol-diesel blend, forming the ternary blend. The extremely high viscosity and good lubricating properties of castor oil were expected to restore the substantial reduction in such fuel properties due to the presence of ethanol in the blend. The basic physical and chemical properties of the test fuels were measured according to ASTM standards and the engine test was conducted on a four-cylinder direct injection diesel engine with naturally aspirated and water-cooled system. The experimental results showed that the high viscosity, density, flash point of castor oil can help to improve the properties of the fuel blend due to some poor properties of ethanol leading to keep the fuel properties of the ternary blend under the limit of diesel fuel specifications. The emission benefits of the reduction in CO, NOx and smoke emissions were obtained by the combustion of the ternary blend without the significant increase in THC emissions at high engine operating loads, compared to diesel fuel combustion. It is evident that the incorporation of castor oil and ethanol as blend components to reduce the use of diesel fuel for compression ignition engines is a feasible alternative for next generation fuels. ","PeriodicalId":13951,"journal":{"name":"International Journal of Electrical Energy","volume":"38 1","pages":"57-63"},"PeriodicalIF":0.0,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89149631","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 : 2018-01-01DOI: 10.18178/IJOEE.6.2.47-51
Wenxia Liu, Xiaoxing Zheng, Qi Chen, Pengcheng Xu
at present, the reliability assessment of power system are based on their respective voltage grade which have ignored the integrity and coordination of distribution network and it can’t reflect the interaction between transmission and distribution. This paper presented a method of overall voltage level coordinated expansion planning in distribution network. Considering the effect of transmission system and the main connection schemes of substation, a top-down approach about overall voltage level reliability assessment was proposed. Based on Life Cycle Cost (LCC), the assessment of reliability and economy is carried out which select the unit increment cost of average service availability index (ASAI) as the objection function. Finally, the proposed method was well applied to different improved planning in Qinghai province, and the optimum conditions is obtained which serves the long-term interests of power grid.
{"title":"Overall Voltage Level Reliability and Economy Coordinated Analysis in Distribution Network","authors":"Wenxia Liu, Xiaoxing Zheng, Qi Chen, Pengcheng Xu","doi":"10.18178/IJOEE.6.2.47-51","DOIUrl":"https://doi.org/10.18178/IJOEE.6.2.47-51","url":null,"abstract":"at present, the reliability assessment of power system are based on their respective voltage grade which have ignored the integrity and coordination of distribution network and it can’t reflect the interaction between transmission and distribution. This paper presented a method of overall voltage level coordinated expansion planning in distribution network. Considering the effect of transmission system and the main connection schemes of substation, a top-down approach about overall voltage level reliability assessment was proposed. Based on Life Cycle Cost (LCC), the assessment of reliability and economy is carried out which select the unit increment cost of average service availability index (ASAI) as the objection function. Finally, the proposed method was well applied to different improved planning in Qinghai province, and the optimum conditions is obtained which serves the long-term interests of power grid. ","PeriodicalId":13951,"journal":{"name":"International Journal of Electrical Energy","volume":"35 1","pages":"47-51"},"PeriodicalIF":0.0,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79129094","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 : 2018-01-01DOI: 10.18178/IJOEE.6.1.26-31
D. Das, Sandip Ghosh, B. Subudhi
An approach is proposed in this paper to derive a delay-dependent robust stabilization criterion for uncertain input-delayed system in Linear Matrix Inequality (LMI) framework using Proportional-Integral (PI) controller. By adding integral control action for the state feedback stabilization the degree of freedom of the controller increases as a result of which the robustness increases. The matrix variables are involved in the Lyapunov-Krasovskii approach for deriving a less conservative stabilization criterion. The obtained criterion is validated by a wellknown example with some existing results.
{"title":"State Feedback PI-Controller for Robust Stability Analysis and Stabilization of Input-Delayed Systems","authors":"D. Das, Sandip Ghosh, B. Subudhi","doi":"10.18178/IJOEE.6.1.26-31","DOIUrl":"https://doi.org/10.18178/IJOEE.6.1.26-31","url":null,"abstract":"An approach is proposed in this paper to derive a delay-dependent robust stabilization criterion for uncertain input-delayed system in Linear Matrix Inequality (LMI) framework using Proportional-Integral (PI) controller. By adding integral control action for the state feedback stabilization the degree of freedom of the controller increases as a result of which the robustness increases. The matrix variables are involved in the Lyapunov-Krasovskii approach for deriving a less conservative stabilization criterion. The obtained criterion is validated by a wellknown example with some existing results.","PeriodicalId":13951,"journal":{"name":"International Journal of Electrical Energy","volume":"80 1","pages":"26-31"},"PeriodicalIF":0.0,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77277024","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 : 2018-01-01DOI: 10.18178/IJOEE.6.1.37-40
C. Hsu, I. Lin, Yao-An Tsai, Pei-Hwa Huang
The main purpose of this paper is to utilize the method of Support Vector Machine (SVM) to assess the power system dynamics to decide which one of the loads should be tripped after the fault occurs and then is isolated to make the system stable. Because once the fault occurs the protection relay is triggered to isolate the fault point but the system may be still unstable, therefore the backup protection relays in the system are then triggered, and this may cause the outage region wider and even results in system blackout. To avoid system blackout, the suitable load is to be tripped to make the system return to another stable operating point after the fault has been isolated. The suitable trip loads are the transient stable samples which are selected by SVM, and then the load is selected which has the lowest impact on system. This paper we employs different loading conditions to increase the number of training samples to promote the accuracy rate of SVM. The results show that the accuracy rate of the purpose method can reach 70.86%.
{"title":"Power System Dynamic Analysis by Support Vector Machine","authors":"C. Hsu, I. Lin, Yao-An Tsai, Pei-Hwa Huang","doi":"10.18178/IJOEE.6.1.37-40","DOIUrl":"https://doi.org/10.18178/IJOEE.6.1.37-40","url":null,"abstract":"The main purpose of this paper is to utilize the method of Support Vector Machine (SVM) to assess the power system dynamics to decide which one of the loads should be tripped after the fault occurs and then is isolated to make the system stable. Because once the fault occurs the protection relay is triggered to isolate the fault point but the system may be still unstable, therefore the backup protection relays in the system are then triggered, and this may cause the outage region wider and even results in system blackout. To avoid system blackout, the suitable load is to be tripped to make the system return to another stable operating point after the fault has been isolated. The suitable trip loads are the transient stable samples which are selected by SVM, and then the load is selected which has the lowest impact on system. This paper we employs different loading conditions to increase the number of training samples to promote the accuracy rate of SVM. The results show that the accuracy rate of the purpose method can reach 70.86%.","PeriodicalId":13951,"journal":{"name":"International Journal of Electrical Energy","volume":"158 1","pages":"37-40"},"PeriodicalIF":0.0,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80010504","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 : 2017-01-01DOI: 10.18178/IJOEE.5.1.71-75
Anagha Bhattacharya, Aizawl India Nit Mizoram Eee Dept., S. Goswami, Tanima Bhowmik
Deregulation of power sector has highly maximized competition of market by reforming conventionally integrated utility of power into competitive EM. Purpose of this research is to develop an optimization method by combining the genetic algorithm, adaptive metropolis search, particle swarm optimization and differential evolution methods for strategy of optimal bidding in an open electricity market. Maximum profit for power exchange and optimal result has been obtained with minimum convergence with the proposed algorithm. Developed algorithm gives much faster convergence of the optimal result Further the proposed algorithm can be expanded for complicated power system issue of optimization under deregulated environment.
{"title":"Developing an Optimization Method for Bidding Strategies in an Open Electricity Market","authors":"Anagha Bhattacharya, Aizawl India Nit Mizoram Eee Dept., S. Goswami, Tanima Bhowmik","doi":"10.18178/IJOEE.5.1.71-75","DOIUrl":"https://doi.org/10.18178/IJOEE.5.1.71-75","url":null,"abstract":"Deregulation of power sector has highly maximized competition of market by reforming conventionally integrated utility of power into competitive EM. Purpose of this research is to develop an optimization method by combining the genetic algorithm, adaptive metropolis search, particle swarm optimization and differential evolution methods for strategy of optimal bidding in an open electricity market. Maximum profit for power exchange and optimal result has been obtained with minimum convergence with the proposed algorithm. Developed algorithm gives much faster convergence of the optimal result Further the proposed algorithm can be expanded for complicated power system issue of optimization under deregulated environment. ","PeriodicalId":13951,"journal":{"name":"International Journal of Electrical Energy","volume":"7 1","pages":"71-75"},"PeriodicalIF":0.0,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91422820","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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