{"title":"A simple and efficient MPPT scheme for PV module using 2-Dimensional Lookup Table","authors":"Venkata Reddy Kota, Muralidhar Nayak Bhukya","doi":"10.1109/PECI.2016.7459226","DOIUrl":"https://doi.org/10.1109/PECI.2016.7459226","url":null,"abstract":"An intermediate Maximum Power Point Tracking (MPPT) control algorithm is used to extract maximum power from the photovoltaic (PV) system. Among various traditional MPPT algorithms Perturb and Observe (P&O) is widely employed because of low cost and simple implementation. In P&O scheme, fixed step size perturbation consumes much time to track Maximum Power Point (MPP). Steady state power loss associated with P&O MPPT is high due to oscillations of operating point around MPP. To overcome the demerits associated with P&O scheme, this paper proposes a simple and efficient MPPT scheme using a 2-Dimensional Lookup Table. The results show that the proposed method has better steady state performance, accuracy and efficiency. Mathematical modeling of PV module, dc-dc converter and MPPT algorithms are given in detail.","PeriodicalId":359438,"journal":{"name":"2016 IEEE Power and Energy Conference at Illinois (PECI)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134139812","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":"Reliability assesment of power system at the presence of demand side management","authors":"M. Narimani, Paul Nauert, Jhi-Young Joo, M. Crow","doi":"10.1109/PECI.2016.7459222","DOIUrl":"https://doi.org/10.1109/PECI.2016.7459222","url":null,"abstract":"Demand response (DR) is a key component of smart grids that can bring a lot of benefits to power system operators and customers. Most literature on DR focuses on the operation, control and planning aspects of “smart grids”, while its impact on, and potential for improving system reliability is less studied. DR can mitigate the operational limit violations by changing the load profile when the reliability of the system is jeopardized. This work assesses potential impacts of demand response on the loss of load probability (LOLP: expected number of days per period on which capacity is insufficient), which is a widely used metric of power system reliability. We considered detailed and practical models of individual residential loads for flexible loads. The flexible load models used in this work are various household appliances with different acceptable delay times (ADTs) within which their consumption can be shifted from the normal schedules. The obtained results show that the DSM can decrease the LOLP.","PeriodicalId":359438,"journal":{"name":"2016 IEEE Power and Energy Conference at Illinois (PECI)","volume":"138 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133108781","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}
O. Kahveci, T. Overbye, N. Putnam, A. Soylemezoglu
{"title":"Optimization framework for topology design challenges in tactical smart microgrid planning","authors":"O. Kahveci, T. Overbye, N. Putnam, A. Soylemezoglu","doi":"10.1109/PECI.2016.7459262","DOIUrl":"https://doi.org/10.1109/PECI.2016.7459262","url":null,"abstract":"This paper proposes a new optimization framework that generates the optimal cable layout design of a tactical smart microgrid. The minimization function includes power loss and fuel consumption, reliability and graph aesthetic issues are considered as maximization functions. By leveraging multiple technologies and strategies, a design-phase heuristic tool is proposed on the following contributions; (i) apply graph-theoretic approaches to minimize the spanning tree of a network and (ii) employ clustering methods to split the network into electro-mechanically stable islands. This paper also proposes an algorithm that takes into accounts for physical restrictions due to geographical land area. To ensure reconfiguration resiliency with respect to the number of terminals, communication reliability throughout the sectionalized network, operation sustainability from the perspective of network protection, the ability of the proposed heuristic tool is demonstrated on one line (full three phase) diagrams by utilizing the alternating Steiner point introduction method to attain the global optimal solution.","PeriodicalId":359438,"journal":{"name":"2016 IEEE Power and Energy Conference at Illinois (PECI)","volume":"124 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116332251","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":"Transient voltage stability of offshore wind farms following faults on the collector system","authors":"A. Sajadi, R. Kolacinski, K. Loparo","doi":"10.1109/PECI.2016.7459227","DOIUrl":"https://doi.org/10.1109/PECI.2016.7459227","url":null,"abstract":"This work focuses on the analysis of the transient voltage stability at the point of interconnection (POI) of offshore wind farms following faults on the collector system. In particular, this study studies offshore wind farms that use an AC export system to transfer generated power onshore and investigates transient voltage stability under the influence of operating reactive power support equipment such as static VAR compensators (SVC) and active power support units such as battery storage or generation units at the POI. Operation of SVC and active power support such are widely believed to improve the stability and dynamic operation of offshore wind farms. This study, using the Great Lakes Offshore Wind Study models, determines the precise conditions under which SVC and active power support can improve the transient stability of the system following faults on the collector system.","PeriodicalId":359438,"journal":{"name":"2016 IEEE Power and Energy Conference at Illinois (PECI)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132427053","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":"An investigation of the relationship between accuracy of customer baseline calculation and efficiency of Peak Time Rebate program","authors":"Saeed Mohajeryami, M. Doostan, Ailin Asadinejad","doi":"10.1109/PECI.2016.7459237","DOIUrl":"https://doi.org/10.1109/PECI.2016.7459237","url":null,"abstract":"In this paper, the relationship between accuracy of Customer Baseline (CBL) calculation and efficiency of Peak Time Rebate (PTR) program for residential customers is investigated. To perform the analysis, well-established CBL calculation methods, HighXofY(NYISO), LowXofY, MidXofY, exponential moving average(ISONE) and regression are first introduced and then utilized to calculate the CBL. A dataset consisting of 262 residential customers is used for this analysis. In addition, the error analysis is performed using accuracy and bias metrics. Furthermore, to reach a valid conclusion about overall performance of CBL methods, an economic analysis of a PTR program is carried out. According to the results, in the case study, utility pays at least half of its revenue as a rebate merely due to the inaccuracy of CBL methods. In addition, it is shown that PTR causes a lot of inefficiencies in the residential sector because of the failure of CBL calculation methods to predict the customers load profile on event day.","PeriodicalId":359438,"journal":{"name":"2016 IEEE Power and Energy Conference at Illinois (PECI)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128978379","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":"Modeling three-phase grid-connected inverter system using complex vector in synchronous dq reference frame and analysis on the influence of tuning parameters of synchronous frame PI controller","authors":"W. Choi, Casey T. Morris, B. Sarlioglu","doi":"10.1109/PECI.2016.7459235","DOIUrl":"https://doi.org/10.1109/PECI.2016.7459235","url":null,"abstract":"This paper presents a mathematical modeling of three-phase grid-connected inverter system including output LCL filter and closed loop control using complex vector notation. The control scheme used is synchronous frame PI control on complex space vector of grid current in synchronous dq reference frame. Effect of controller's tuning parameters is investigated using complex vector root locus and complex vector frequency response function of closed loop system according to different tuning parameters. Control scheme and three-phase grid-connected inverter are simulated using MATLAB Simulink and SimPowerSystems™.","PeriodicalId":359438,"journal":{"name":"2016 IEEE Power and Energy Conference at Illinois (PECI)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128752909","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":"Analysis of wireless and catenary power transfer systems for electric vehicle range extension on rural highways","authors":"Thomas Navidi, Yue Cao, P. Krein","doi":"10.1109/PECI.2016.7459224","DOIUrl":"https://doi.org/10.1109/PECI.2016.7459224","url":null,"abstract":"This paper analyzes two different transportation electrification charging schemes, i.e., an embedded wireless power transfer system and an overhead catenary wire system, for use in range extension of electric vehicles on rural highways. The efficiency, feasibility, and benefits of the two schemes are examined. Electric vehicles currently lack widespread popularity mainly due to battery limitations, especially for long distance travel. The rural highway charging methods presented here can greatly increase the range of electric vehicles while decreasing battery sizes. Average modeling approaches for power electronics and vehicle usage were developed in MATLAB/Simulink to compare the two systems, each at two power levels. 30 kW and 48 kW were chosen to demonstrate the differences between power levels both capable of maintaining a positive net charge on a dynamic electric vehicle. Component efficiencies, energy transfer levels, and installation percentages for the various models were determined. The models were applied to California highway I-5 to show immense potential savings over gasoline vehicles. It was shown that catenary charging is cheaper and has higher energy transfer than wireless; however, it has difficulty servicing all vehicle types, has visible wires, and requires more maintenance.","PeriodicalId":359438,"journal":{"name":"2016 IEEE Power and Energy Conference at Illinois (PECI)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125561578","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":"An optimal PMU placement method for power system observability","authors":"V. R. Raju, S.V.Jayarama Kumar","doi":"10.1109/PECI.2016.7459248","DOIUrl":"https://doi.org/10.1109/PECI.2016.7459248","url":null,"abstract":"Phasor Measurement Unit (PMU) is considered to be the most significant device in future power system measurements. It provides phasor information (both magnitude and phase angle) which can be used in the real time control of power systems. In this paper, optimal PMU placement problem (OPP) is articulated as a binary integer linear programming (BILP) using Balas additive algorithm (BAA). PMU installations will be decided by binary decision variables (0, 1) for full network observability while minimizing the number of PMU installations. Existence of zero injection buses was also considered to reduce the number of PMUs used for observability. Power system connectivity matrix represented in binary form and simple heuristics are used to solve the problem. Optimal PMU placement problem has multiple solutions with equal costs. For further ranking of these multiple solutions measurement redundancy is used. The proposed algorithm has been tested on IEEE 9-bus, 14-bus, 24-bus, 30-bus systems.","PeriodicalId":359438,"journal":{"name":"2016 IEEE Power and Energy Conference at Illinois (PECI)","volume":"129 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130872565","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":"Design of a second-order sliding mode MRAS speed estimator for the induction motor drive","authors":"J. Orr, Brandon Murray, M. Comanescu","doi":"10.1109/PECI.2016.7459239","DOIUrl":"https://doi.org/10.1109/PECI.2016.7459239","url":null,"abstract":"The paper presents a speed estimation method for the induction motor (IM) drive. The speed is obtained using the Model Reference Adaptive System (MRAS) principle and is based on a second order sliding mode (SM) observer. First, the stationary frame fluxes of the IM are obtained using a Voltage Model Observer - this is based on the stator equations (which do not depend on speed) and serves as the reference model. The adjustable model re-estimates the fluxes and is made to match the reference model by adapting the speed - specifically, the speed estimate is a second order sliding mode term. The method is relatively simple and is not computationally intensive. The paper shows the implementation by first order sliding mode and also by second-order sliding mode. The speed estimate is obtained by filtering a switching term. The speed estimate is accurate and robust; when the second-order SM approach is used, it is obtained using minimal filtering only.","PeriodicalId":359438,"journal":{"name":"2016 IEEE Power and Energy Conference at Illinois (PECI)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131970643","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}
Keshava Dilwali, Harivina Gunnaasankaraan, A. Viswanath, K. Mahata
{"title":"Transmission expansion planning using benders decomposition and local branching","authors":"Keshava Dilwali, Harivina Gunnaasankaraan, A. Viswanath, K. Mahata","doi":"10.1109/PECI.2016.7459265","DOIUrl":"https://doi.org/10.1109/PECI.2016.7459265","url":null,"abstract":"This paper studies the application of an accelerated Benders decomposition algorithm using local branching on a transmission expansion planning (TEP) problem. TEP analyses the trade-off between investment cost of adding network capacity and load curtailment cost of existing network capacity. The problem is formulated as a mixed (0-1) programming problem which is tedious to solve through conventional Benders decomposition. Local branching is used to accelerate this algorithm by dividing the feasible region of the problem into some smaller sub-regions and then using a generic solver to find the best solution in each of these sub-regions. By strengthening lower and upper bounds at earlier stages of the decomposition algorithm, local branching helps reduce number of Benders iterations to solve the TEP problem. The efficacy of this technique is demonstrated by comparing with classical Benders decomposition when applied to a 46-bus power transmission network.","PeriodicalId":359438,"journal":{"name":"2016 IEEE Power and Energy Conference at Illinois (PECI)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125602814","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}