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Performance and Efficiency Simulation Study of a smart-grid Connected Photovoltaic System

Energy and Power Engineering 2017年第2期9卷 71-85页

作者： Warsame H. Ali Penrose Cofie John H. Fuller Savitha Lokesh Emmanuel S. Kolawole Department of Electrical and Computer Engineering Prairie View Texas A&M University Prairie View TX USA

The availability of non-renewable energy sources such as crude oil, natural gas, coal etc., is fast diminishing. So the renewable energy sources such as solar, hydropower, geothermal, wind, tidal energy, are gaining more and more importance. Many new developments to convert these renewable energy sources into usable forms are taking place. Most renewable energy sources are used to produce electricity. In this paper, a performance and efficiency simulation study of a smart-grid connected photovoltaic system using Chroma DC programmable power supply, AC programmable source and an Aurora Inverter is proposed. The simulation is performed in MATLAB environment where the Current-Voltage (I-V) and Power-Voltage (P-V) curves from the solar array simulator are generated and plotted. The proposed topology has been verified with satisfactory results. In addition, temperature and irradiance effects on I-V and P-V characteristic curves are verified. Also, the efficiency curves of the photovoltaic grid interface inverter are generated in the study. The MATLAB code developed in this paper is a valuable tool for design engineers comparing different inverters, calculating the optimum efficiency of a given inverter type.

关键词： smart-grid Photovoltaic System Renewable and of Non-Renewable Energy Current-Voltage (I-V) and Power-Voltage (P-V) Curves Inverter Electricity

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Cost Optimization Modeling of Renewable Energy Sources in smart-grid Using SCADA

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Communications and Network 2021年第2期13卷 51-67页

作者： Nafisa Islam Warsame H. Ali Emmanuel S Kolawole John Fuller Pamela Obiomon John O. Attia Samir Abood Department of Electrical and Computer Engineering Prairie View A & M University Prairie View USA

In recent times, renewable energy production from renewable energy sources is an alternative way to fulfill the increased energy demands. However, the increasing energy demand rate places more pressure, leading to the termination of conventional energy resources. However, the cost of power generation from coal-fired plants is higher than the power generation’s price from renewable energy sources. This experiment is focused on cost optimization during power generation through pumped storage power plant and wind power plant. The entire modeling of cost optimization has been conducted in two parts. The mathematical modeling was done using MATLAB simulation while the hydro and wind power plant’s emulation was performed using SCADA (Supervisory control and data acquisition) designer implementation. The experiment was conducted using ranges of generated power from both power sources. The optimum combination of output power and cost from both generators is determined via MATLAB simulation within the assumed generated output power range. Secondly, the hydro-generator and wind generator’s emulation were executed individually through synchronizing the grid to determine each generator’s specification using SCADA designer, which provided the optimum power generation from both generators with the specific speed, aligning with results generated through MATLAB. Finally, the operational power cost (with no losses consideration) from MATLAB was compared with the local energy provider to determine the cost-efficiency. This experiment has provided the operational cost optimization of the hydro-wind combined power system with stable wind power generation using SCADA, which will ultimately assist in operations of large-scale power systems, remotely minimizing multi-area dynamic issues while maximizing the system efficiency.

关键词： smart-grid Cost Optimization Economic Dispatch SCADA Renewable Energy Sources MATLAB

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Vehicle to grid Decentralized Dispatch Control Using Consensus Algorithm with Constraints

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smart grid and Renewable Energy 2013年第6期4卷 8-20页

作者： Alexandre Lucas Sun Chang MIT-Portugal Program Instituto Superior Técnico Lisbon Portugal Singapore MIT-Alliance National University of Singapore Singapore Singapore.

With the transition to electric vehicle technologies, large scale support infrastructure is being deployed. The vehicleto-grid (V2G) concept is an opportunity to take advantage from both infrastructure and electric vehicle drive. However, coordinating large?number of agents in a reasonable speed and lack of homogenous distribution of the service provided by vehicle users to the grid have been left unattended. We apply consensus theory to the V2G concept presenting a decentralized control solution to assure that all vehicles within a region, regardless of their technology, positioning or state of charge, can communicate with their neighbors and agree on how much energy each should individually exchange with the grid. Applying constraints to the system, we considered a 25,000 vehicle fleet connected to a?grid during peak hours. Simulating power changes and vehicles entering and leaving the system, two groups of 5 vehicles were studied: the first group remained in the system during all peak hours, while the second group only an hour. Results showed that the two groups of vehicles despite connecting to the system at different times were able to reach consensus in t = 15 s, and reported a maximum error of ε < 0.01% if left in the system during all peak hours.

关键词： Vehicle-to-grid smart-grid Consensus Decentralized Control Infrastructure

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