Pub Date : 2011-12-01DOI: 10.1109/ICEAS.2011.6147073
M. Murali, M. S. Kumari, M. Sydulu
In the restructured power market, it is necessary to develop an appropriate pricing scheme that can provide the useful economic information to market participants, such as generation, transmission companies and customers. Proper pricing method is needed for transmission network to ensure reliability and secure operation of power system. Accurately estimating and allocating the transmission cost in the transmission pricing scheme still remains challenging task. This paper gives an overview of different costs incurred in transmission transaction, types of transmission transactions and the transmission pricing methodologies. Embedded as well as Incremental cost methods are explained. It mainly focussed on determining the embedded transmission cost by various methods and compared the results for 6bus, IEEE 14bus and RTS 24 bus systems.
{"title":"A comparison of embedded cost based transmission pricing methods","authors":"M. Murali, M. S. Kumari, M. Sydulu","doi":"10.1109/ICEAS.2011.6147073","DOIUrl":"https://doi.org/10.1109/ICEAS.2011.6147073","url":null,"abstract":"In the restructured power market, it is necessary to develop an appropriate pricing scheme that can provide the useful economic information to market participants, such as generation, transmission companies and customers. Proper pricing method is needed for transmission network to ensure reliability and secure operation of power system. Accurately estimating and allocating the transmission cost in the transmission pricing scheme still remains challenging task. This paper gives an overview of different costs incurred in transmission transaction, types of transmission transactions and the transmission pricing methodologies. Embedded as well as Incremental cost methods are explained. It mainly focussed on determining the embedded transmission cost by various methods and compared the results for 6bus, IEEE 14bus and RTS 24 bus systems.","PeriodicalId":273164,"journal":{"name":"2011 International Conference on Energy, Automation and Signal","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131447877","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 : 2011-12-01DOI: 10.1109/ICEAS.2011.6147141
H. K. Sahoo, N. P. Rath
The present study proposes a novel method of tracking the harmonic amplitudes and the envelope of distorted power system signals using robust H∞ Filter. The performance of H∞ Filter has been compared with those of EKF considering signals, which can represent worst case measurement and network conditions in a typical power system. State Space Representation is used to estimate the amplitudes of harmonics of different order as well as modulated signal envelope in presence of AWGN. Results of simulation demonstrate that under identical conditions, the performance of H∞ Filter is better compared to Extended Kalman Filter (EKF).
{"title":"Robust adaptive filtering approach for envelope and harmonic estimation","authors":"H. K. Sahoo, N. P. Rath","doi":"10.1109/ICEAS.2011.6147141","DOIUrl":"https://doi.org/10.1109/ICEAS.2011.6147141","url":null,"abstract":"The present study proposes a novel method of tracking the harmonic amplitudes and the envelope of distorted power system signals using robust H∞ Filter. The performance of H∞ Filter has been compared with those of EKF considering signals, which can represent worst case measurement and network conditions in a typical power system. State Space Representation is used to estimate the amplitudes of harmonics of different order as well as modulated signal envelope in presence of AWGN. Results of simulation demonstrate that under identical conditions, the performance of H∞ Filter is better compared to Extended Kalman Filter (EKF).","PeriodicalId":273164,"journal":{"name":"2011 International Conference on Energy, Automation and Signal","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130475280","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 : 2011-12-01DOI: 10.1109/ICEAS.2011.6147182
M. Rathinakumar, N. Ashokkumar
Transmission monitoring and control knowledge is more dispersed among human experts or in manuals, than other type of power system knowledge. The reason is most voltage security studies evolve around generators and load buses; less importance was given to transmission security and enhancement. The effect of any compensators is limited to a particular region, which makes some compensators ineffective during a voltage violation. The issue of transmission congestion management is a challenge for operators because of inability adding more transmission losses due to economic and environmental reasons. Hence in this paper, the problem of transmission voltage security monitoring and locating effective controllers for improving voltage security are found by developing a new algorithm which is presented. To meet the objective, we have partitioned transmission lines connected to a sub load center into reactive control zones by identifying the weak and strong transmission line elements. We also developed a methodology to identify suitable reactive power controllers for individual buses present in the network
{"title":"A knowledge based monitoring scheme for transmission voltage security","authors":"M. Rathinakumar, N. Ashokkumar","doi":"10.1109/ICEAS.2011.6147182","DOIUrl":"https://doi.org/10.1109/ICEAS.2011.6147182","url":null,"abstract":"Transmission monitoring and control knowledge is more dispersed among human experts or in manuals, than other type of power system knowledge. The reason is most voltage security studies evolve around generators and load buses; less importance was given to transmission security and enhancement. The effect of any compensators is limited to a particular region, which makes some compensators ineffective during a voltage violation. The issue of transmission congestion management is a challenge for operators because of inability adding more transmission losses due to economic and environmental reasons. Hence in this paper, the problem of transmission voltage security monitoring and locating effective controllers for improving voltage security are found by developing a new algorithm which is presented. To meet the objective, we have partitioned transmission lines connected to a sub load center into reactive control zones by identifying the weak and strong transmission line elements. We also developed a methodology to identify suitable reactive power controllers for individual buses present in the network","PeriodicalId":273164,"journal":{"name":"2011 International Conference on Energy, Automation and Signal","volume":"117 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133147321","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 : 2011-12-01DOI: 10.1109/ICEAS.2011.6147170
J. Kumar, D. Kumar
This paper presents a novel methodology based on Fuzzy Adaptive Particle Swarm Optimization (FAPSO) for the preparation of optimal bidding strategies by power suppliers in a competitive electricity market. The gaming by participants in a competitive electricity market causes electricity market more an oligopoly than a competitive market. In general, Competition implies the opportunities for Generation Companies (Gencos) to get more profit and, in the mean time, the risk of not being dispatched. In this paper each participant can increase their own profit by optimally selecting the bidding parameters using FAPSO, where inertia weight is dynamically adjusted using fuzzy evolution. The proposed method is numerically verified through computer simulations on IEEE 30-bus system consist of six suppliers and two large consumers are participated in the bidding process. The results are compared with Genetic Algorithm (GA) and different versions of PSO. The Test results indicate that the proposed algorithm maximize profit, converge much faster and more reliable than GA and different versions of PSO.
{"title":"Risk-constrained bidding strategy for Generation Companies in an open electricity market using Fuzzy Adaptive Particle Swarm Optimization","authors":"J. Kumar, D. Kumar","doi":"10.1109/ICEAS.2011.6147170","DOIUrl":"https://doi.org/10.1109/ICEAS.2011.6147170","url":null,"abstract":"This paper presents a novel methodology based on Fuzzy Adaptive Particle Swarm Optimization (FAPSO) for the preparation of optimal bidding strategies by power suppliers in a competitive electricity market. The gaming by participants in a competitive electricity market causes electricity market more an oligopoly than a competitive market. In general, Competition implies the opportunities for Generation Companies (Gencos) to get more profit and, in the mean time, the risk of not being dispatched. In this paper each participant can increase their own profit by optimally selecting the bidding parameters using FAPSO, where inertia weight is dynamically adjusted using fuzzy evolution. The proposed method is numerically verified through computer simulations on IEEE 30-bus system consist of six suppliers and two large consumers are participated in the bidding process. The results are compared with Genetic Algorithm (GA) and different versions of PSO. The Test results indicate that the proposed algorithm maximize profit, converge much faster and more reliable than GA and different versions of PSO.","PeriodicalId":273164,"journal":{"name":"2011 International Conference on Energy, Automation and Signal","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115808746","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 : 2011-12-01DOI: 10.1109/ICEAS.2011.6147191
V. Baghel, S. Nanda, G. Panda
Modeling of complex nonlinear systems has become a challenging task in presence of outliers. In this scenario a robust norm with an evolutionary approach does a potential job. A modified evolutionary algorithm GOPSO (global selection based orthogonal PSO) is proposed which offers a more accurate and computationally efficient training compared to OPSO (Orthogonal PSO). The potential of the proposed algorithm has been demonstrated on six benchmark multi-modal optimization problems. Further, robust identification models has been developed by combining Wilcoxon norm with a functional link artificial neural network (FLANN) structure trained by the proposed GOPSO. Exhaustive simulation studies on five complex plants show superior performance of proposed models when output of plant gets corrupted upto 50% outliers.
在存在异常值的情况下，复杂非线性系统的建模已成为一项具有挑战性的任务。在这种情况下，具有进化方法的健壮规范可以完成潜在的工作。提出了一种改进的进化算法GOPSO (global selection based orthogonal PSO)，该算法比正交PSO (orthogonal PSO)具有更高的训练精度和计算效率。该算法的潜力已在六个基准多模态优化问题上得到验证。此外，通过将Wilcoxon范数与由所提出的GOPSO训练的功能链接人工神经网络(FLANN)结构相结合，开发了鲁棒识别模型。对5个复杂装置进行了详尽的仿真研究，结果表明，当装置输出的异常值高达50%时，所提出的模型具有较好的性能。
{"title":"New GOPSO and its application to robust identification","authors":"V. Baghel, S. Nanda, G. Panda","doi":"10.1109/ICEAS.2011.6147191","DOIUrl":"https://doi.org/10.1109/ICEAS.2011.6147191","url":null,"abstract":"Modeling of complex nonlinear systems has become a challenging task in presence of outliers. In this scenario a robust norm with an evolutionary approach does a potential job. A modified evolutionary algorithm GOPSO (global selection based orthogonal PSO) is proposed which offers a more accurate and computationally efficient training compared to OPSO (Orthogonal PSO). The potential of the proposed algorithm has been demonstrated on six benchmark multi-modal optimization problems. Further, robust identification models has been developed by combining Wilcoxon norm with a functional link artificial neural network (FLANN) structure trained by the proposed GOPSO. Exhaustive simulation studies on five complex plants show superior performance of proposed models when output of plant gets corrupted upto 50% outliers.","PeriodicalId":273164,"journal":{"name":"2011 International Conference on Energy, Automation and Signal","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124100661","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 : 2011-12-01DOI: 10.1109/ICEAS.2011.6147093
B. Phulpagar, S. Kulkarni
Image segmentation is a technique of image analysis which gives information about the different homogeneous regions in given image. The segmented region may be a complete object or part of it. M. Yu. et al. [5] have developed method for segmentation of images containing two gray classes. In the proposed method, we have extended that method for four gray classes. Generally, in GA initial populations are generated randomly. The fitness function is used to evaluate the solutions and the fittest solutions are selected as parents for producing offspring's that form the next generations. Morphological operations are used in reproduction step of GA. After several generations, populations are evolved to get the near optimal results. We present the experimental result, which demonstrates the segmentation of the image into four classes using GA.
{"title":"Image segmentation using genetic algorithm for four gray classes","authors":"B. Phulpagar, S. Kulkarni","doi":"10.1109/ICEAS.2011.6147093","DOIUrl":"https://doi.org/10.1109/ICEAS.2011.6147093","url":null,"abstract":"Image segmentation is a technique of image analysis which gives information about the different homogeneous regions in given image. The segmented region may be a complete object or part of it. M. Yu. et al. [5] have developed method for segmentation of images containing two gray classes. In the proposed method, we have extended that method for four gray classes. Generally, in GA initial populations are generated randomly. The fitness function is used to evaluate the solutions and the fittest solutions are selected as parents for producing offspring's that form the next generations. Morphological operations are used in reproduction step of GA. After several generations, populations are evolved to get the near optimal results. We present the experimental result, which demonstrates the segmentation of the image into four classes using GA.","PeriodicalId":273164,"journal":{"name":"2011 International Conference on Energy, Automation and Signal","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124643272","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 : 2011-12-01DOI: 10.1080/15325008.2012.666617
S. Samantaray, R. Dubey, L. Tripathy, B. Babu
This paper presents a spectral energy function for fault detection during power swing using a novel time frequency transform known as S-transform. S-transform is a variable window short time Fourier Transform (STFT) which combines the elements of STFT and Wavelet transform and, thus known as phase corrected Wavelet transform. The process starts at processing the current signal through S-transform to generate the S-matrix. From the S-matrix, corresponding S-contours (time-frequency contours) are generated. The spectral energy content of the S-counters is used to register the symmetrical and un-symmetrical faults during power swing. The proposed technique is tested for different fault conditions during power swing with possible variations in operating parameters and is able to identify the faults with a response time of 1.25 cycles from the fault inception during power swing.
{"title":"Spectral energy function for fault detection during power swing","authors":"S. Samantaray, R. Dubey, L. Tripathy, B. Babu","doi":"10.1080/15325008.2012.666617","DOIUrl":"https://doi.org/10.1080/15325008.2012.666617","url":null,"abstract":"This paper presents a spectral energy function for fault detection during power swing using a novel time frequency transform known as S-transform. S-transform is a variable window short time Fourier Transform (STFT) which combines the elements of STFT and Wavelet transform and, thus known as phase corrected Wavelet transform. The process starts at processing the current signal through S-transform to generate the S-matrix. From the S-matrix, corresponding S-contours (time-frequency contours) are generated. The spectral energy content of the S-counters is used to register the symmetrical and un-symmetrical faults during power swing. The proposed technique is tested for different fault conditions during power swing with possible variations in operating parameters and is able to identify the faults with a response time of 1.25 cycles from the fault inception during power swing.","PeriodicalId":273164,"journal":{"name":"2011 International Conference on Energy, Automation and Signal","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128594100","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 : 2011-12-01DOI: 10.1109/ICEAS.2011.6147076
P. K. Nayak, A. Pradhan, P. Bajpai
The apparent impedance seen by a distance relay may fall within its operating zone during power swing. This may cause the relay to trip unnecessarily. To avoid unintended trip operation during such conditions, a power swing blocking function is utilized in distance relays. However, if a fault occurs during power swing, the relay should detect the fault and trip as soon as possible for maintaining security. Detection of fault during power swing in a series compensated line is more complicated due to the presence of protection circuit of the capacitor. This paper proposes a negative sequence current based technique for detecting fault during power swing in a series compensated line. The technique is tested for symmetrical and unsymmetrical faults in a system simulated through EMTDC/PSCAD. The method is compared with available techniques.
{"title":"Detecting fault during power swing for a series compensated line","authors":"P. K. Nayak, A. Pradhan, P. Bajpai","doi":"10.1109/ICEAS.2011.6147076","DOIUrl":"https://doi.org/10.1109/ICEAS.2011.6147076","url":null,"abstract":"The apparent impedance seen by a distance relay may fall within its operating zone during power swing. This may cause the relay to trip unnecessarily. To avoid unintended trip operation during such conditions, a power swing blocking function is utilized in distance relays. However, if a fault occurs during power swing, the relay should detect the fault and trip as soon as possible for maintaining security. Detection of fault during power swing in a series compensated line is more complicated due to the presence of protection circuit of the capacitor. This paper proposes a negative sequence current based technique for detecting fault during power swing in a series compensated line. The technique is tested for symmetrical and unsymmetrical faults in a system simulated through EMTDC/PSCAD. The method is compared with available techniques.","PeriodicalId":273164,"journal":{"name":"2011 International Conference on Energy, Automation and Signal","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130640777","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 : 2011-12-01DOI: 10.1109/ICEAS.2011.6147180
J. Rao, A. Pradhan
Distance relays are blocked during power swing. However, if a fault occurs during power swing, it should be detected and unblocking function should be invoked to clear the fault as soon as possible. Detection of fault during power swing is a challenging task. The technology of synchronized phasor measurements has come of age and simplified the differential protection scheme. Differential protection scheme using synchrophasor data are applied in this paper to supplement the available fault detection techniques to distance relay for fault during power swing.
{"title":"Application of synchrophasor data for fault detection during power swing","authors":"J. Rao, A. Pradhan","doi":"10.1109/ICEAS.2011.6147180","DOIUrl":"https://doi.org/10.1109/ICEAS.2011.6147180","url":null,"abstract":"Distance relays are blocked during power swing. However, if a fault occurs during power swing, it should be detected and unblocking function should be invoked to clear the fault as soon as possible. Detection of fault during power swing is a challenging task. The technology of synchronized phasor measurements has come of age and simplified the differential protection scheme. Differential protection scheme using synchrophasor data are applied in this paper to supplement the available fault detection techniques to distance relay for fault during power swing.","PeriodicalId":273164,"journal":{"name":"2011 International Conference on Energy, Automation and Signal","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132100968","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 : 2011-12-01DOI: 10.1109/ICEAS.2011.6147115
Syamasree Biswas, N. Chakraborty
Power system structure is undergoing through restructuring process since a decade. Everyday a bulk amount of power is generated, transmitted and distributed via transmission network. The active power or the real power generated from the generator needs the reactive power for supporting its own transmission. This reactive power generation has some minimum limit which if generator fails to produce it has to take support from system operator for smooth real power flow in worth of paying money. While the generator produces excess reactive power it can expect remuneration from the system operator. In deregulated power system minimal reactive power generation is considered as an important issue as cost is related to it. In this paper IEEE 14-bus test system is considered for solving the problem. As a solving tool a well known population based metaheuristics technique: particle swarm optimisation is chosen which tries to optimize the problem by controlling the generator bus voltage. The choice of the objective function and the mentioned optimisation technique is considered by through literature survey.
{"title":"Reactive power generation minimization aspect in deregulatory power scenario using particle swarm optimization technique","authors":"Syamasree Biswas, N. Chakraborty","doi":"10.1109/ICEAS.2011.6147115","DOIUrl":"https://doi.org/10.1109/ICEAS.2011.6147115","url":null,"abstract":"Power system structure is undergoing through restructuring process since a decade. Everyday a bulk amount of power is generated, transmitted and distributed via transmission network. The active power or the real power generated from the generator needs the reactive power for supporting its own transmission. This reactive power generation has some minimum limit which if generator fails to produce it has to take support from system operator for smooth real power flow in worth of paying money. While the generator produces excess reactive power it can expect remuneration from the system operator. In deregulated power system minimal reactive power generation is considered as an important issue as cost is related to it. In this paper IEEE 14-bus test system is considered for solving the problem. As a solving tool a well known population based metaheuristics technique: particle swarm optimisation is chosen which tries to optimize the problem by controlling the generator bus voltage. The choice of the objective function and the mentioned optimisation technique is considered by through literature survey.","PeriodicalId":273164,"journal":{"name":"2011 International Conference on Energy, Automation and Signal","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125495253","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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