{"title":"Power System Reliability Evaluation using Monte Carlo Simulation and Multi Label Classifier","authors":"Dogan Urgun, C. Singh","doi":"10.1109/NPSC.2018.8771816","DOIUrl":"https://doi.org/10.1109/NPSC.2018.8771816","url":null,"abstract":"This paper presents a new method for evaluation of power systems reliability indices. In this study, a combination of Monte Carlo Simulation (MCS) and Multilabel Radial Basis Function (MLRBF) classifier is used for computing system reliability indices. Multilabel classification algorithms is different from single label approaches, in which each instance can be assigned into multiple classes. This study shows that MLRBF can be used to classify composite power system states (success or failure) without requiring optimal power flow (OPF) analysis, with exception of training phase. Therefore, this approach shows that the computational efficiency of the reliability evaluation analysis to evaluate reliability indices can be significantly increased. The proposed method is applied to the IEEE Reliability Test System (IEEE-RTS-79) for different load levels. The outcomes of case studies show that MLRBF algorithm provides good classification accuracy in reliability evaluation while reducing computation time substantially.","PeriodicalId":185930,"journal":{"name":"2018 20th National Power Systems Conference (NPSC)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126970653","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}
{"title":"Damping Enhancement for SMIB Power System Equipped with Partial Feedback Linearization AVR","authors":"Ajit Kumar","doi":"10.1109/NPSC.2018.8771812","DOIUrl":"https://doi.org/10.1109/NPSC.2018.8771812","url":null,"abstract":"Pertaining to different stages of grid operation i.e., transient period and post-transient period, transient stability and voltage regulation (VR) respectively, are the main properties of power system control. In contrast with linear automatic voltage regulator (AVR), a partial feedback linearizing (PFBL) based AVR exhibit superior voltage regulation but damping of rotor mode is not satisfactory. To enhance the system damping a power system stabilizer (PSS) is augmented to PFBL AVR. With aid of eigenvalue analysis and nonlinear time domain simulation is performed on a single machine infinite bus (SMIB) power system. It is shown that proposed method exhibit markedly enhanced performance in comparison to the existing control schemes.","PeriodicalId":185930,"journal":{"name":"2018 20th National Power Systems Conference (NPSC)","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127062540","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}
{"title":"Flower Pollination Algorithm Based PI Controller Design for Induction Motor Scheme of Soft-Starting","authors":"P. S. Nayak, T. A. Rufzal","doi":"10.1109/NPSC.2018.8771740","DOIUrl":"https://doi.org/10.1109/NPSC.2018.8771740","url":null,"abstract":"Metaheuristic optimization algorithms are largely employed to solve engineering problems. Flower pollination Algorithm is implemented in MATLAB to design feedback control for soft-starting of the induction motor. The motor is constrained to start at the rated current using the parameters of the PI controller obtained from Flower Pollination Algorithm. The algorithm converges faster to provide near-optimal global parameters. The satisfactory limiting of rated current during starting of the motor is observed.","PeriodicalId":185930,"journal":{"name":"2018 20th National Power Systems Conference (NPSC)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126068373","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}
{"title":"Robust Control based Energy Storage Stabilizers for Power Systems with Large Scale Renewables","authors":"Indla Rajitha Sai Priyamvada, Sarasij Das","doi":"10.1109/NPSC.2018.8771843","DOIUrl":"https://doi.org/10.1109/NPSC.2018.8771843","url":null,"abstract":"This paper proposes robust control theory based stabilizers utilizing Energy Storage System (ESS) to improve the damping of power systems with high level Renewable Energy (RE) penetration. The proposed stabilizer can damp the electromechanical modes as well as the oscillation modes introduced by Converter Control Based Generators (CCBGs). A new weight-function for complementary-sensitivity function of system is proposed to improve robustness of the stabilizer. The weight function is developed by utilizing information from different operating points of the power system so as to improve the robustness. Controllability and observability indices are used to evaluate the effective input-output signals and the placement of ESS stabilizer. Detailed dynamic model of ESS representing energy storage, converter, PWM and filter dynamics is considered in the design procedure of the stabilizer. The physical limitations of ESS are considered in the stabilizer design by incorporating a new sensitivity function in to the objective function of H-infinity control. The IEEE-39 bus system is modified to represent 50–70% RE penetration level. Small-signal studies and time-domain simulations of the modified system are performed to verify the effectiveness of the proposed ESS stabilizer. Cost benefit analysis and sizing of the stabilizer falls out of the scope of this paper.","PeriodicalId":185930,"journal":{"name":"2018 20th National Power Systems Conference (NPSC)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126533860","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}
{"title":"Interruptible Load Constrained Primary Frequency Response Scheduling with Photovoltaic Generation","authors":"J. Sharma, Vivek Prakash, R. Bhakar","doi":"10.1109/NPSC.2018.8771760","DOIUrl":"https://doi.org/10.1109/NPSC.2018.8771760","url":null,"abstract":"Large penetration of intermittent photovoltaic generation (PV) would pose formidable challenges for utilities, to provide inertial and primary frequency response (PFR). PV generation would reduce the generation share of synchronous generators and hence reduce generator inertia & PFR. This necessitates an additional response from interruptible loads, to make frequency stable following contingency like generation outage. In this regard, this paper proposes a novel interruptible load (IL) constrained PFR scheduling framework with the objective of operation cost minimization. Case studies are carried out on IEEE RTS 24 bus and the performance of the proposed approach is analyzed in terms of PFR, IL and operation cost with variation in PV penetration. Results obtained shows that IL response supports the system frequency at conditions like low demand and minimum inertia following largest generation outage. Proposed model could be potentially enhanced to incorporate response from other load types and technologies like energy storage and electric vehicles.","PeriodicalId":185930,"journal":{"name":"2018 20th National Power Systems Conference (NPSC)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124494875","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}
K. Navya Krishnan, B. H. Rao, S. Arun, M. P. Selvan
{"title":"Interactive Demand Response in a Locality of Smart Power System","authors":"K. Navya Krishnan, B. H. Rao, S. Arun, M. P. Selvan","doi":"10.1109/NPSC.2018.8771731","DOIUrl":"https://doi.org/10.1109/NPSC.2018.8771731","url":null,"abstract":"Demand response programs in smart grid environment encourage the energy consumer to interact directly with the grid so that they can participate in electricity market actively. In this paper, a locality in smart power system is considered, where each consumer is intending to reduce the energy consumption cost by jointly scheduling their electric appliances. Non-cooperative game theory is applied to frame the distributed load scheduling game, where the consumers are considered as the players and the energy consumption schedules of their appliances as strategies. Genetic Algorithm (GA) is used as the optimization tool for individual consumer load scheduling to minimize the electricity bill. Interactive scheduling is done using both simultaneous method and sequential method.","PeriodicalId":185930,"journal":{"name":"2018 20th National Power Systems Conference (NPSC)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122683917","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}
P. N. Yasasvi, S. Chandra, A. Mohapatra, S. Srivastava
{"title":"An Exact SOCP Formulation for AC Optimal Power Flow","authors":"P. N. Yasasvi, S. Chandra, A. Mohapatra, S. Srivastava","doi":"10.1109/NPSC.2018.8771872","DOIUrl":"https://doi.org/10.1109/NPSC.2018.8771872","url":null,"abstract":"AC Optimal Power Flow (ACOPF) formulation, in general, is nonlinear and non-convex in nature and hence its application to problems like robust system operation, optimal transmission switching, etc. is a herculean task. Convexification of OPF is desired in order to reduce the complexity of solving such problems. Existing convex formulations such as Semi-Definite Programming (SDP), conventional Second Order Conic Programming (SOCP), and so on and their variants result either in significant optimality gap (OG) or reduced OG, albeit with the presence of non-convexity or approximations which bridge the gap between convexity and non-convexity. Due to these challenges, the current practice in the electricity sector is still to use the DCOPF (approximation of ACOPF). Hence in this paper, an exact and novel SOCP formulation of actual ACOPF has been proposed which aims for getting an equivalent convex formulation similar to the actual nonlinear, non-convex ACOPF. This also ensures attaining zero OG for mesh as well as radial networks and hence, the possibility of easily integrating this formulation in OPFs with data uncertainty. The proposed methodology has been tested on a 3 bus, IEEE 14 bus and IEEE 118 bus test systems on GAMS platform. The results thus obtained, have been compared with those obtained from DCOPF, nonlinear, non-convex ACOPF, conventional SOCP formulation for radial networks (SOCP-I) and conventional SOCP formulation for mesh networks (SOCP-II). The results ensure zero OG of the proposed SOCP formulation.","PeriodicalId":185930,"journal":{"name":"2018 20th National Power Systems Conference (NPSC)","volume":"17 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134322467","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}
{"title":"Controller Hardware-in-Loop Simulation of a Multi-Machine System using an Educational Real-time Simulator","authors":"S. Jain, Sirisha Vadlamani, G. Narayanan","doi":"10.1109/NPSC.2018.8771720","DOIUrl":"https://doi.org/10.1109/NPSC.2018.8771720","url":null,"abstract":"A controller, which is to be integrated into a complex power system, can be tested before integration under near realistic conditions using controller hardware-in-loop (CHIL) simulation. This paper employs CHIL on IEEE 3-generator 9-bus system, in which the excitation system of one of the generators is considered as the controller under test. The controller is implemented on delphino micro-controller with the rest of the 3-generator system simulated in real-time on the educational simulator. Results obtained from CHIL simulation are validated with offline and real-time simulation results. The dynamic response of the excitation system to changes in $V_{ref}$ is also demonstrated experimentally. The maximum permissible step size which does not cause numerical instability is determined experimentally. The computation time required by the educational simulator is also determined. The capabilities of the real-time simulation platform are assessed.","PeriodicalId":185930,"journal":{"name":"2018 20th National Power Systems Conference (NPSC)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134337686","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}
{"title":"Extraction of Data from an RS-485 enabled Multi Function Meter for Building Monitoring Systems","authors":"C. Sandhya., S. Tirunagari, S. Sahoo, P. Yemula","doi":"10.1109/NPSC.2018.8771845","DOIUrl":"https://doi.org/10.1109/NPSC.2018.8771845","url":null,"abstract":"Data analytics on the electrical parameters is needed in order to improve energy consumption efficiency and prevent adverse events such as power outage, short circuit etc.,. It also helps in protecting and increase the longevity of the electrical equipment. The electrical consumption data is measured usually using the multifunction meter(MFM) installed in residential or commercial buildings. In the commercial buildings, these meters are installed in the panel room(centralised) and in all floors/departments(decentralised). The extraction of data is the first step for the process of data analytics. This paper discusses how the extraction of data is possible from these installed multi function meters. In order to demonstrate the data retrieval process, a hardware lab set up is implemented using RS 485 communication interfaced multifunction meter(MFM). In addition to the MFM, certain modules(both hardware and software) used for the data extraction are also explained in a step by step manner. The validity of the method adopted to extract the data is verified using the real time loading instants.","PeriodicalId":185930,"journal":{"name":"2018 20th National Power Systems Conference (NPSC)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132369401","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}
{"title":"Superimposed Component-Based Protection Scheme for UPFC Compensated Transmission Lines","authors":"Sauvik Biswas, P. K. Nayak","doi":"10.1109/NPSC.2018.8771805","DOIUrl":"https://doi.org/10.1109/NPSC.2018.8771805","url":null,"abstract":"The installation of unified power flow controller (UPFC) in a transmission line affect the transient as well as steady-state components of the current and voltage signals. In such situation the conventional distance relays find difficulty to protect such compensated lines. This paper presents a fast and accurate fault detection, classification and section identification technique for a UPFC compensated line based on superimposed principle. In this work, the superimposed components of current signals are taken as features for performing the detection and classification task. For fault section identification, the voltage and current superimposed components are used together. Performance of the proposed technique is assessed for numerous test cases by generating data on a 230 kV UPFC compensated two machine system through EMTDC/PSCAD. The obtained results clearly show that using the proposed protection scheme fast and accurate fault detection, and classification as well as fault section identification can be accomplished in transmission lines installed with UPFC at the mid-point of the line.","PeriodicalId":185930,"journal":{"name":"2018 20th National Power Systems Conference (NPSC)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132814903","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}