{"title":"Application of node centrality in transmission expansion planning under uncertainty","authors":"F. Thiam, C. DeMarco","doi":"10.1109/NAPS.2014.6965416","DOIUrl":"https://doi.org/10.1109/NAPS.2014.6965416","url":null,"abstract":"Methods for transmission expansion planning have long been associated with detailed scenarios for the location and types of future generation and expected load growth. Such expansion futures might seek transmission additions to meet short/long term needs, while addressing anticipated reliability issues, reduction in CO2 emissions, integration of renewable sources of energy, among other objectives and constraints. Today, there is tremendous uncertainty and a myriad of possibilities in future generation mix and placement, load growth, and storage technology. Also, stringent requirements in CO2 emission policy have emerged in recent years. These uncertainties are putting great strain on present practice in transmission expansion planning. In lieu of scenario driven methods, we explore a different philosophy in approaching the transmission expansion planning problem. Based on properties that are inherent to the structure of the network, the techniques presented here make use of results from spectral partitioning and concepts from graph centrality to suggest most suitable bus choices for placement of transmission lines. Derived from the circuit concepts of effective resistance and resistance distance, a measure closely associated with the bus impedance matrix (Zbus) widely used in power system fault studies, the centrality measure adopted in this work will correspond to the information centrality (IC) metric employed in other graph problems. While there exist a number of other well-known centrality indices, e.g., shortest path betweenness, closeness, degree, eigenvector centrality, this work will argue that IC proves best suited to the transmission expansion planning problem. These results will be demonstrated via an illustrative case based on IEEE 300-bus system.","PeriodicalId":421766,"journal":{"name":"2014 North American Power Symposium (NAPS)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134029673","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 optimization based generator placement strategy in network reduction","authors":"Yujia Zhu, D. Tylavsky","doi":"10.1109/NAPS.2014.6965401","DOIUrl":"https://doi.org/10.1109/NAPS.2014.6965401","url":null,"abstract":"Solving the optimal power flow (OPF) problem on a large power system is computationally expensive. Network reduction and ac-to-dc network conversion can relieve this burden by simplifying the full system model to a smaller and mathematically simpler model. Traditional reduction methods, like Ward reduction, fractionalize generators when the buses they are attached to are removed, and scatters these fractions to topologically adjacent buses. In some OPF applications, this type of generator modeling is problematic. An improved approach is to keep generators intact by moving them whole to buses in reduced model and then redistributing loads to maintain base-case line flows. Determining generator placement using a traditional shortest electrical distance (SED) based method may result in cases where the OPF solution on reduced model is infeasible while the full model has a feasible solution. In this paper, an improved generator placement method is proposed. Tests show that the proposed method yields a better approximation to the full model OPF solutions and is more likely to produce a reduced model with a feasible solution if the unreduced model has a feasible solution.","PeriodicalId":421766,"journal":{"name":"2014 North American Power Symposium (NAPS)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134255635","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":"Increasing penetration of Distributed Generation with meshed operation of distribution systems","authors":"M. Davoudi, V. Cecchi, J. R. Aguero","doi":"10.1109/NAPS.2014.6965465","DOIUrl":"https://doi.org/10.1109/NAPS.2014.6965465","url":null,"abstract":"Electric distribution systems are traditionally operated in a radial manner. In order to accommodate the increasing penetration levels of Distributed Generation (DG), meshed operation of distribution systems is investigated in this paper. Different limiting factors for increasing penetration levels of DGs are discussed; then, a methodology that determines maximum DG penetration level based on bus voltage and line current constraints is described. Alternative meshed operation of distribution systems, viewed as a more long-term systematic solution to increase maximum allowable DG penetration, can then be evaluated using the described metrics. Results for a 69 bus test case are presented for the radial system as well as for select meshed configurations. The obtained results verify the ability of meshed networks to accommodate proliferation of DGs.","PeriodicalId":421766,"journal":{"name":"2014 North American Power Symposium (NAPS)","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134466208","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}
Qianyao Xu, Ning Zhang, C. Kang, Ruoyang Wang, Jiangran Wang, Zhengpai Cui, Zhigang Yang
{"title":"Day-ahead battery scheduling in microgrid considering wind power uncertainty using ordinal optimization","authors":"Qianyao Xu, Ning Zhang, C. Kang, Ruoyang Wang, Jiangran Wang, Zhengpai Cui, Zhigang Yang","doi":"10.1109/NAPS.2014.6965428","DOIUrl":"https://doi.org/10.1109/NAPS.2014.6965428","url":null,"abstract":"This paper introduces the Ordinal Optimization (OO) theory into the microgrid operation, considering the wind power uncertainty. An energy balance model is established to obtain a day-ahead battery scheduling. Comparing with the stochastic optimization and the robust optimization, the OO method has the advantages of neither requiring a huge computation burden, nor resulting in an unexpectedly high operating cost. Case studies on different algorithms have been done in the paper. The results show that the OO method outperforms the stochastic and robust solutions, with a more reasonable operating cost while without compromising the microgrid reliability.","PeriodicalId":421766,"journal":{"name":"2014 North American Power Symposium (NAPS)","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124719416","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":"A heuristic power optimization method for photovoltaic systems","authors":"J. Icenhower, M. Zarghami, M. Vaziri","doi":"10.1109/NAPS.2014.6965454","DOIUrl":"https://doi.org/10.1109/NAPS.2014.6965454","url":null,"abstract":"California is striving to increase penetration of Distributed Generation (DG) to 33% by 2020. This effort is to promote energy independence of the state of California and to lead the country to be more environmentally conscious. However, integrating DG and increasing penetration to high levels will negatively impact the grid. One issue that has been discussed is that DG may supply more power than is demanded by the load. This may cause overvoltage issues at the buses where the DG is connected and also may cause power to flow from the distribution to the transmission system. Current legislation dictates DG to operate at unity power factor and prohibits DG to inject or absorb reactive power. This is to ensure that the Utilities can control system voltage and that the customers do not regulate voltage at the interconnection points. However, when considering system performance, this legislation is not ideal. The mission of this paper is to provide convincing data that will demonstrate the benefits of controlling reactive power for better system performance. Furthermore, it will provide a heuristic method that calculates near-optimum dispatch of DG in the distribution system in a fast approach which could potentially be implemented in practical, real-time applications.","PeriodicalId":421766,"journal":{"name":"2014 North American Power Symposium (NAPS)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116383614","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":"Examining some prospect scenarios for the electricity grid infrastructure modernization in Saudi Arabia","authors":"T. Alaqeel, S. Suryanarayanan","doi":"10.1109/NAPS.2014.6965387","DOIUrl":"https://doi.org/10.1109/NAPS.2014.6965387","url":null,"abstract":"The paper examines some prospect scenarios for modernization of the electric grid system in Saudi Arabia. Considerations with respect to two dimensions - deregulation of electricity market and the implementation of Smart Grid technologies - are included. The paper investigates the benefits, cost, and risks associated with each scenario.","PeriodicalId":421766,"journal":{"name":"2014 North American Power Symposium (NAPS)","volume":"6 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131722879","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":"DFIG based wind turbine system modeling in the Real Time Digital Simulator","authors":"R. Jain, H. Hess, B. Johnson","doi":"10.1109/NAPS.2014.6965420","DOIUrl":"https://doi.org/10.1109/NAPS.2014.6965420","url":null,"abstract":"This paper focuses on modeling Type 3 (Doubly Fed Induction Generators based) wind generation systems in the Real Time Digital Simulator (RTDS). It discusses the underlying converter and controller design algorithms and topologies. An alternative to the conventional Phase Locked Loop (PLL) tracking of rotor frequency is implemented. A comparative analysis of the performance of an averaged model and the corresponding switching model is presented. The averaged model is used to model an aggregate 10-generator equivalent model. The system is connected to a 22kV collector and then tied to the 230kV grid. This model is a great asset to understand dynamics, and the un-faulted and faulted behavior of aggregated and single turbine Type 3 systems. The models facilitate testing the response of conventional protection schemes by modern protection relays in real time using the RTDS.","PeriodicalId":421766,"journal":{"name":"2014 North American Power Symposium (NAPS)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129780476","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":"Software development of optimal substation ground grid design based on genetic algorithm and pattern search","authors":"Qianzhi Zhang, Xuan Wu","doi":"10.1109/NAPS.2014.6965440","DOIUrl":"https://doi.org/10.1109/NAPS.2014.6965440","url":null,"abstract":"Substation ground system serves to safety of personnel and as major equipment during earth faults, which deserves considerable attentions. Basic substation safety assessment quantities include ground grid resistance, mesh touch potential and step potential, moreover, optimal design of substation ground system should consider both safeness and cost. To fill the lack of such suitable and economical optimal design software in North American industry, a software package coded in MATLAB is developed and its core algorithm and main features are introduced in this paper. A novel hybrid GA-PS optimization or two-steps optimization method is developed, in which Genetic Algorithm (GA) is used firstly to search an approximate start point range for the further optimal searching, followed by Pattern Search (PS) to find the final optimal result. This software can give analysis of ground grid safety performance and is able to recommend optimal grid design for given safety constraints. In order to make sure the accuracy of this software, the results of grid safety assessment obtained here are also compared with the results calculated by using worldwide used software WinIGS.","PeriodicalId":421766,"journal":{"name":"2014 North American Power Symposium (NAPS)","volume":"128 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121525802","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":"Short term electrical load forecasting using back propagation neural networks","authors":"S. S. Reddy, J. Momoh","doi":"10.1109/NAPS.2014.6965453","DOIUrl":"https://doi.org/10.1109/NAPS.2014.6965453","url":null,"abstract":"This paper presents a new approach for short term electrical load forecasting (STLF) using artificial neural networks (ANN), and examines the feasibility of various mathematical models for STLF. To make these mathematical models to yield satisfactory and acceptable results, various system models are formulated considering various combination of parameters like base load component, day of the week, load inertia, short term trends, autocorrelation, length of the past data, etc. Various modifications of Back Propagation Algorithm (BPA) have been proposed, to explore the ideal combination that suit the forecasting need of large utilities like regional electricity grids. Further, the load dynamics are extensively studied to identify the parameters for system modeling.","PeriodicalId":421766,"journal":{"name":"2014 North American Power Symposium (NAPS)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115178890","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 efficient primal-dual approach to chance-constrained economic dispatch","authors":"G. Martinez, Yu Zhang, G. Giannakis","doi":"10.1109/NAPS.2014.6965379","DOIUrl":"https://doi.org/10.1109/NAPS.2014.6965379","url":null,"abstract":"To effectively enhance the integration of distributed and renewable energy sources in future smart microgrids, economical energy management accounting for the principal challenge of the variable and non-dispatchable renewables is indispensable and of significant importance. Day-ahead economic generation dispatch with demand-side management for a micro-grid in islanded mode is considered in this paper. With the goal of limiting the risk of the loss-of-load probability, a joint chance constrained optimization problem is formulated for the optimal multi-period energy scheduling with multiple wind farms. Bypassing the intractable spatio-temporal joint distribution of the wind power generation, a primal-dual approach is used to obtain a suboptimal solution efficiently. The method is based on first-order optimality conditions and successive approximation of the probabilistic constraint by generation of p-efficient points. Numerical results are reported to corroborate the merits of this approach.","PeriodicalId":421766,"journal":{"name":"2014 North American Power Symposium (NAPS)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123479588","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}