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This paper explores the use of Multiple Linear Regression techniques in order to estimate sections of missing line reactance data sometimes found in the data received from synchrophasor measurement units. The high correlation between transmission line reactance and the system frequency is used to predict these estimates. Dynamic predictor coefficients are used to improve accuracy of the estimations...
The significant increase in Distribution Generation (DG) technologies such as solar and wind can provide environmental and economic benefits. However, uncontrolled solar and wind penetration at distribution level can have adverse effects on the feeders, such as overleverage. On the other hand controlling DG output can reduce the benefits for the residential level DG operators. This paper proposes...
This paper presents a methodology to calculate the worst-case reliability of smart distribution system. Impact of communication infrastructure failure on the system reliability is investigated in both substation-centered and decentralized multi-agent restoration management. Different communication infrastructure is also examined to evaluate the impact in the reliability of the substation centered...
Presently, the quality of power supplied is essential to many customers. Power quality (PQ) is a valued utility service where many customers are prepared to pay and get it. In the future, distribution system operators ought to decide, to provide their customers with distinct PQ ranges at different prices. Here, in this paper, a new control action to improve and maintain and enhance the power quality...
This paper proposes a novel methodology for the calculation and estimation of transmission line impedance with the use of real time data from synchrophasor measurement units. Current synchrophasor standards do not provide impedance data and must therefore be calculated. The algorithms used in this paper include impedance calculation, outlier detection and elimination as well as denoising using regularized...
Implementation of Smart Grid into the power system has made our grid more robust and reliable. Due to integration of two-way, real time communication it is possible to monitor equipment through sensors. Continuous monitoring will help to predict the state of the equipment. Due to this fact and also to ensure the system performance, time based maintenance can be replaced by condition or reliability...
The Smart distribution system initiative requires an increased usage of the distribution feeder-level communication infrastructure to improve automation. Using a distributed sensor network for monitoring the distribution system is proposed by various researchers. Such distributed sensor communication architecture requires information to be received within an allowable delay and a minimum processing...
Modernization of power grid has gained momentum around the world. Even though the objectives differ from region to region, the two features that are common in this process are control and communication. This has resulted in increased focus on sensors, automated switches and efficient communication infrastructure. Sensors such as phasor measurement units have better accuracy and higher sampling rate...
Analysis, modeling and development of residential demand response schemes are vital for the next generation active distribution systems. Among residential level deferrable loads thermally controllable loads have shown a great potential to be the candidates for increasing the flexibility of power distribution network. This paper evaluates the benefits of managing residential electric water heater set-points...
The smart distribution system initiative requires higher usage of a distribution feeder-level communication infrastructure to improve system automation. This study proposes a hybrid medium access control (MAC) protocol to manage time-driven and event-driven distribution system applications. This MAC protocol, ALARM, for high-priority events/situational awareness requirements is proposed based on the...
Distribution feeder reconfiguration is a cost-effective scheme to improve the system operating condition. Making decisions on the status of switches along the feeder with high penetration of renewable resources requires a tractable and accurate input data analysis. This paper presents a method using Gaussian quadrature to approximate probability distribution function of input variables with a probability...
This paper presents a 24 factorial design to analyze the joint effect of loading, cooling characteristics, ambient temperature, and Oil Time Constant (OTC) on transformer Loss of Life (LOL). Transformer LOL is calculated for 16 combinations of factor levels. Residential load profile obtained from a utility is used to precisely model the loading factor. Design-Expert® Software Version 9 is used to...
Low voltage transformers are the most important and expensive assets in a power distribution system. The life time of a mineral-oil-immersed transformer is decreased by raising the Hottest Spot Temperature (HST) in peak hours. This paper assesses the effect of load shaping through households' appliances scheduling on lifetime of a distribution transformer. An IEEE standard transformer is used to estimate...
Demand response (DR) is one of the central pieces of the smart grid initiative. Several DR schemes have been proposed in the literature. This work focuses on determining the benefits of DR to the power grid and the associated comfort restrictions. Based on the literature, a heating, ventilation and air condition (HVAC) system is chosen in this work as a suitable application. Demand is scheduled a...
A big challenge for smart grid application scenarios will be handling the massive amount of data that is expected to be collected from data sources such as smart meters and sent through the communication backhaul to the grid operator. One approach to reduce data volume given some application sampling rate is to aggregate the data stream within the network itself. While data aggregation along the communications...
This paper proposes a stochastic modeling of aggregated vehicle-to-grid (V2G) based on sequential Monte Carlo simulation for reliability evaluation of distribution network. Uncertainties of electric vehicle (EV) travel information including parking lot arrival time, travelled distance and parking lot departure time are incorporated into reliability evaluation using appropriate probability distribution...
Cyber-enabled power system places higher requirements on the reliability of communication infrastructure. This paper proposes an approach to calculate reliability of distribution networks in the presence of communication media. Communication failure is incorporated into sequential Monte Carlo simulation using a uniform probability distribution function. A straightforward matrix representation is developed...
Smart Grid initiative requires improvements to distribution system operation. One of the improvements is to use battery storage to support the distribution system. These batteries have the ability to improve the system reliability. This work develops a simulation based reliability evaluation technique with detailed battery operation model. The state of charge of battery, loss of capacity over age...
Management of Electric Vehicle charging has gained significant interest mainly due its impacts on the distribution systems. Several control strategies which are proposed in the literature consider electric vehicle charging as time based signals on the system. This work proposes an alternative method by considering the charging as dynamic events on the distribution system. Proposed multi-state semi...
Electricity plays an important and leading role in the flourishing of the world economy as sustainable and cost-efficient energy carrier for everyday needs. With the fast economic expansion in the developing areas, the cost of electricity has increased accordingly. The use of renewable distributed generation (DG) technologies and "green power" can provide a significant environmental benefit,...
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