Modeling is going to play a crucial role for utilities as Electric Vehicle (EV) ownership percentage increases. Utilities anticipate new demand peaks due to EV charging loads, particularly at high penetration levels. ...
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ISBN:
(纸本)9781479901463
Modeling is going to play a crucial role for utilities as Electric Vehicle (EV) ownership percentage increases. Utilities anticipate new demand peaks due to EV charging loads, particularly at high penetration levels. Several efforts in the utility industry have been using a demographic approach to find potentially worst overloaded distribution infrastructure and use these locations as test beds. This paper will demonstrate the methodology used in the demographics study to identify areas of interest for urban New Mexico feeders. Using existing infrastructure with real utility GIS data, several leading modeling tools were used to identify possible long-term and short-term outcomes. Using the demographic results, system- and component-specific analysis, an impact study will identify potential impacts and mitigation opportunities. The impact analysis methodology described in this paper will identify short term and long term impacts on voltage issues, protection, Power Quality, Loading, and Control. Through modeling results, data integrity gaps, generic to other utilities can also be identified. Other methods of modeling described in this paper will use Synergee (modeling tool developed by GL Group) as a baseline to simulate the EV penetration and correlate that with other Distributed Energy Resources such as PV. General conclusions will be made based on the results of the impact study. The conclusions will be used to identify business-case opportunities such as DR, TOU and possibly V2G. The modeling efforts will also support and identify gaps in modeling software in the utility and data integrity to have real time data for distribution planning for short term and long term impacts of all DERs.
A Smart Grid demonstration project is currently underway at public Service Company of New Mexico (PNM). This project is designed to combine a battery storage system with a photovataic (PV) system to smooth out the clo...
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ISBN:
(纸本)9781467344456
A Smart Grid demonstration project is currently underway at public Service Company of New Mexico (PNM). This project is designed to combine a battery storage system with a photovataic (PV) system to smooth out the cloud induced intermittency of PV output. The whole system is already in use and the smoothing algorithm successfully smoothes the PV output as designed. This paper introduces the structure of the system, and discusses how to design the smoothing algorithm in five aspects, including choosing the smoothing reference as well as choosing the window size of smoothing algorithm. Specifically this paper puts forward a new method to recover the state of charge (SoC) of the battery while performing intermittency mitigation.
An important contribution of the Semantic Web is a new format of data representation called Resource Description Framework (RDF). In RDF, every piece of information is represented as a triple: subject-property-object....
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ISBN:
(纸本)9781479939329
An important contribution of the Semantic Web is a new format of data representation called Resource Description Framework (RDF). In RDF, every piece of information is represented as a triple: subject-property-object. In general, subjects and objects can be shared between multiple RDF triples, and all triples can constitute a densely interlinked network. RDF becomes a very popular format of representing data on the web. As of September 2012, the last available data, more than 31 billions of triples exist on the web. In the paper, we propose a system - called T2R - for automatic acquisition of syntactic and semantic relations among terms from a plain text. These relations are expressed in the form of RDF triples. The proposed method is independent of any prior knowledge and domain specific patterns, and is applicable to any textual resources. The system implementing the approach is capable of identifying grammatical structure of an input sentence and analysing its semantics to generate meaningful RDF triples. We evaluate this approach by proving the quality of our results through case studies.
Increased penetration of renewable generation and the liberalization of electricity markets result in increasingly varying power flows in the electric power system. This has led to increased occurrences of congestions...
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ISBN:
(纸本)9781467345378
Increased penetration of renewable generation and the liberalization of electricity markets result in increasingly varying power flows in the electric power system. This has led to increased occurrences of congestions which are mostly resolved by dispatching generation in an economically suboptimal way. In this paper, we use power flow control to render the system more flexible by providing the capability of rerouting power to lines where sufficient capacity is available. The objective is to minimize a combination of generation cost and a risk-based security index as opposed to formulating a traditional security constrained economic dispatch. In addition, corrective actions by the power flow control devices are used to allow for a less conservative generation dispatch resulting in reduced generation costs while maintaining system security in case of a contingency. Simulation results provide insights into the benefits provided by corrective power flow control in such a trade-off between generation cost and system risk.
A ray-tracing technique to predict the propagation channel parameters in indoor scenarios is presented. An analysis of the physical radio channel propagation inside a van full of buckets is presented. The propagation ...
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This paper describes and evaluates the effectiveness of a summer undergraduate research program designed to attract qualified minority students into graduate school in electricalengineering. This eight-week program r...
This paper describes and evaluates the effectiveness of a summer undergraduate research program designed to attract qualified minority students into graduate school in electricalengineering. This eight-week program recruits students of at least junior-level undergraduate standing on a nationwide basis and pairs them with faculty members and graduate student mentors to undertake research. The research activities are conducted in the School of electrical and computerengineering and National Science Foundation engineering (NSF) Research Center in Low-Cost Electronic Packaging at the Georgia Institute of Technology. From 1992–1995, a total of 47 students participated in this program. Thirty-six of these participants were interviewed by phone to obtain qualitative and quantitative information about the program's impact. The findings indicate that 92% of the program participants are either currently enrolled in a graduate program, plan to attend graduate school in the next two years, or have completed a graduate degree. In comparison to a control group of individuals drawn from the membership of the National Society of Black Engineers (NSBE) alumni, it is found that program participants are more likely to pursue advanced degrees and more likely than non-participants to continue their studies in engineering. In addition, participants report higher starting salaries than non-participants. Overall, attitudes toward the program are positive, and the data suggests that GT-SUPREEM does have a significant impact on the student participants.
This paper briefly outlines the combination of an Agent Based Modeling (ABM) framework for modeling the flow of traffic in an urban center, using a 3D gaming platform and incorporating real world data extracted from c...
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This paper studies the effects of peer influence and homophily on the diffusion of the iPhone 3G across a number of communities sampled from a large dataset from a major European Mobile carrier in one country. We use ...
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This paper studies the effects of peer influence and homophily on the diffusion of the iPhone 3G across a number of communities sampled from a large dataset from a major European Mobile carrier in one country. We use Stochastic Actor Based Models to capture the co-evolution of the social network as well as the dynamics of adoption. This helps to separate the roles of homophily and peer influence in the process of diffusion. We provide evidence that the propensity of a subscriber to adopt, when she is called upon to make a decision about whether she should adopt, increases with the number of friends that have already adopted. A one standard deviation increase above the mean in the number of friends that had already adopted increases the likelihood odds of adoption relative to no adoption by a factor of 2.8. The effect of peer influence is robust across a number of different specifications. The results for the effect of homophily are less clear. While, on average, we find a positive significant effect of adoption on tie formation, in many communities this effect is significant and negative and in others there is no effect at all.
This paper is motivated by the recognition that sources of uncertainties in the electric power systems are multifold and that they may have potentially far-reaching effects. In the past, only system load forecast was ...
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ISBN:
(纸本)9781467327275
This paper is motivated by the recognition that sources of uncertainties in the electric power systems are multifold and that they may have potentially far-reaching effects. In the past, only system load forecast was considered to be the main challenge. More recently, uncertain price of electricity and hard-to-predict power produced by the renewable resources, such as wind and solar, are making the operating and planning environment much more challenging. It is, therefore, becoming very important to develop modeling methods for predicting uncertain load and wind power, in particular. In this paper we first transform historic time-stamped data into their Fourier Transform (FT) representation. The frequency domain data representation is used to decompose the wind and load power signals and to derive predictive models relevant for short-term and long-term predictions. The short-term results are interpreted next as a Linear Prediction Coding Model (LPC) and its accuracy is analyzed. Next, the Discrete Markov Process (DMP) representation is applied to help assess probabilities of most likely short-, medium- and long-term states and the related multi-temporal risks. Throughout the paper we use publicly available data for the New York Control Area (NYCA).
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