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Recent reports from Independent System Operators (ISOs) have raised some concerns about the impact of convergence bids (CBs) on nodal electricity markets. In particular, in some cases, there are concerns about cases where CBs are profitable for some market participants without increasing market efficiency significantly or even decreasing market efficiency. The latter occurs when CBs create price divergence...
The objective of this paper is to identify a synchronous generator's internal voltage, dq-axis reactances using Phasor Measurement Unit (PMU) data obtained at the terminal bus of the generator. Our approach is to firstly classify the PMU data into inputs and outputs and then identify the relationship between the inputs and the outputs. With different classifications and different assumptions on salience,...
The understanding of power system characteristics and their impact on system behavior can lead to improved dynamic performances. Based on the Center of Inertia (COI) concept, this paper presents a practical study on the inertia distribution estimation, which can be used to both planning in long time scale and operation in short time scale, to meet with increasing renewable integration level in the...
Load Frequency Control (LFC) for an islanded microgrid is so critical due to intermittent behaviors of load and renewable energies. Performance of PID controllers deteriorates under uncertainties necessitating a controller that specifically considers these uncertainties. A stochastic controller can count for these uncertainties and hence a self-tuning PID controller based on Hebbian Learning method...
Unlike transmission system where model of different elements are available to study system's stability there is lack of such models while studying microgrid stability, main reason being that microgrid is still an evolving topic. One such element is transformer, transformers have been an integral part of power system, and are still used in microgrid infrastructure hence it is important to model different...
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...
In this paper, emphasis is laid on the importance of modeling de-aggregated loads in form of a whole distribution systems rather than aggregated loads while assessing the impact of changes in distribution system on the transmission system performance. This paper is an attempt to develop an accurate analysis of impact of conservation by voltage reduction (CVR) in distribution network on the transmission...
Modern power systems are continuously pushed to operate close to their limits due to economic and environmental constraints. As a result, the system voltage profile may seriously degrades, which can lead to voltage instability. The improvement of system voltage is thus of paramount importance for the reliability and stability of power grids. Several optimization techniques such as particle swarm optimization,...
Multi-objective optimal reactive dispatch (OPRD) problem can be formulated as to maximize reactive power reserve and minimize bus voltage deviation while complying with all the power system network constraints. State-of-the-art methods for multi-objective optimization are learning-based evolutionary algorithms that attempt to generate Pareto solutions as dispersed as possible at the expense of huge...
In prior work, the Distributed Gradient Projection (DGP) algorithm was proposed to allow loads or load aggregators to provide contingency service to the grid using local frequency measurements. The DGP algorithm was shown to perform well in linear simulations. The goal of this work is to evaluate the performance of the DGP algorithm in more realistic scenarios and its robustness to issues of practical...
Battery energy storage (BES) is an indispensable resource in stand-alone microgrids. A reliable and cost effective microgrid operation can be achieved when the BES is optimally designed and deployed. The BES lifetime, however, is greatly impacted by its operation where two important operation factors must be considered to prolong its lifetime, namely the depth of discharge and the number of cycles...
The optimization of the size and location of Photovoltaic (PV) Distributed Generation (DG) is a method for reducing distribution networks loss, cutting costs for utilities, and integrating renewable energy into the power grid. However, this optimization problem is a difficult mixed continuous discrete problem that is difficult to solve efficiently. Herein, we propose a novel Sequential PVDG Placement...
This paper analyzes the cost composition of microgrid construction as well as the influencing key factors. The Microgrid Cost Study aims at identifying the average cost of a typical microgrid project. The project is limited to the vicinity of U.S. and hence takes into account of only existing microgrid projects in U.S. The project's objective is to find cost of microgrid and its individual components...
Electric power transmission lines span through wide geographical areas, experiencing different ambient conditions. Varying weather conditions along the length of the line introduce changing conductor temperatures and hence non-uniform distribution of line electrical parameters along its length. This non-uniform distribution of electrical parameters is expected to impact line power handling capabilities...
Power electronic converters enable wind turbines, operating at variable speed, to generate electricity more efficiently. Among variable speed operating turbine generators, permanent magnetic synchronous generator (PMSG) has got more attentions due to low cost and maintenance requirements. In addition, the converter in a wind turbine with PMSG decouples the turbine from the power grid, which favors...
Precise prediction of battery open circuit voltage (OCV) has significant impacts on the battery state estimation and safe operation. Most of the current prediction methods rely on complex data acquisition and parameter identification that requires complicated calculation or modeling. This paper proposed a fast OCV prediction approach based on exponential recovery voltage. Only three voltage values...
This paper aims to propose an innovative local energy market to accommodate localized energy trading and exchange for communities, buildings and campuses, which may own the surplus local energy produced by distributed energy resources (DER). These energy entities can participate in or form a localized trading platform, either buying or selling energy with searching local partners, without necessarily...
Quantification of uncertainty due to wind-energy production becomes more and more crucial as the penetration of wind into smart grid increases. System operators (TSOs) and planners would be interested to see how wind production varies over different look-ahead hours and estimate the probability of those variations under several uncertain conditions. As wind is a stochastic source of generation, this...
The concept of automated power system data analysis using Deep Neural Networks (as part of the routine tasks normally performed by Independent System Operators) is explored and developed in this paper. Specifically, we propose to use the widely-used Deep neural network architecture known as Convolutional Neural Networks (CNNs). To this end, a 2-D representation of power system data is developed and...
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