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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 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...
A tracing method is proposed in this paper to identify lines for outage for ice accumulation prevention on overhead lines during storms. The objective is to increase current flow on at-risk line by sequential outages of other lines in the network. The higher current flow causes more resistive power loss on line which increases temperature on the surface of the conductor. The outages are applied to...
This paper introduces classification of electricity residential customers into different groups associated with individualized electricity price schemes, such as time-of-use (TOU) or critical peak pricing (CPP). We use an unsupervised learning method, K-means, assisted by a dimensionality reduction technique and an innovative supervised learning method, extreme learning machine (ELM), to cluster daily...
Power electronic devices are finding increasing applications in the control, instrumentation, and switching in electric power distribution systems. Applications include solid state transformers and solid state fault interruption devices. Some of these devices may be connected directly to the distribution primaries (typically in the 15 kV class). This paper addresses the concerns related to the direct...
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...
This paper presents a robust state estimator for power systems with a multi-terminal DC system overlay. The proposed AC/DC state estimator uses the least absolute value estimation formulation whose details and associated equations are presented in the paper. The robustness of the estimation algorithm against gross errors in the measurements is validated through simulations, by creating a large combination...
Electric Vehicles (EV) is a current buzz in the automotive industry. This new buzz has both negative as well as positive impacts on the power system. The increased number of electric vehicles, when acting as loads impose enormous power requirements on power grid and this leads to power imbalance and also weakens the stability of the grid. A careful selection of charging location and capacity of charging...
In this paper, a non-isolated high gain switched inductor dc-dc multilevel cuk converter for photovoltaic applications is presented, which combines switched inductor with a voltage multiplier. By doing so, the conversion ratio is increased. High voltage gain cannot be possible if using traditional cuk converter. The output voltage can be boosted negatively by using a combination of capacitors and...
In this paper a frequency domain three-phase transformer model is implemented using a nodal approach. Easiness and effectiveness of the model are demonstrated by its inclusion in a simplified distribution network. Moreover, angular displacement inherent to different connections of windings is taken into account which proves its versatility. Transient overvoltages caused by switching are computed using...
In this paper, in an attempt to improve power grid resilience, a machine learning model is proposed to predictively estimate the component states in response to extreme events. The proposed model is based on a multi-dimensional Support Vector Machine (SVM) considering the associated resilience index, i.e., the infrastructure quality level and the time duration that each component can withstand the...
In this paper, a multi-agent load frequency balancing control algorithm based on Genetic Algorithm for a storage-less Photo Voltaic (PV) generation is proposed. For maximum deployment of available renewable energy, the PV generation is tracked at its maximum power point however through the use of a virtual synchronous generator converter control, the PV generator is able to follow the load demand...
The growing integration of variable renewable energy resources, poses new challenges to the electric grid. Forecast of renewable generations may be deployed to mitigate some of these challenges. There are always errors associated with even the most robust solar power point forecasts; so a great deal of attention has been paid to probabilistic forecasting to quantify the uncertainty and risk associated...
Current methods of topology estimation rely on breaker statuses to obtain accurate results. However, due to the lack of availability of time stamped breaker status data in many electric systems, as well as the errors associated with this data, these methods are very limited in their current scope. Additionally, synchrophasor measurements can be used to supplement information on the connectivity between...
This paper introduces a method for distribution feeder resiliency improvement during emergency/disasters situations. Mixed integer linear programming (MILP) method solves the proposed optimization problem. Based on the DGs locations, feeder is reconfigured and looped microgrids are formed to feed most weighted loads. For secure sharing the feeder data with the distribution management system (DMS),...
The increased penetration of PHEVs severely affect the day to day operations of the distribution systems. Load congestion, voltage unbalance, voltage stability and overloading of the transformers are some of the issues that need to be managed during charging and discharging of the PHEVs. In this paper, coordinated charging for load variance reduction is proposed to mitigate some of the issues mentioned...
Blockchain may help solve several complex problems related to integrity and trustworthiness of rapid, distributed, complex energy transactions and data exchanges. In a move towards resilience, blockchain commoditizes trust and enables automated smart contracts to support auditable multiparty transactions based on predefined rules between distributed energy providers and customers. Blockchain based...
Due to the increasing penetration of Distributed Generation (DG) units in the power grid, traditional protection philosophies in distribution systems need to be updated. Distance protection offers an interesting choice in microgrid protection since it is independent of variations in source impedance. However, there are several constraints in applying conventional distance protection on the distribution...
Arc flash is one of the leading causes of injury and death in electrical work-related incidents. In recent years, arc flash risk mitigation and protection solutions have become the forefront topics in the electrical industry studies. Conventional techniques provide ways to lower incident energy on installed systems but they add to the system limitations. This is a case study which explores arc flash...
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