Optimal Energy Trading for Renewable Energy Integrated Building Microgrids Containing Electric Vehicles and Energy Storage Batteries

Electrical grid is no longer featured in a conventional way nowadays. Today, the growing of new technologies, primarily the distributed renewable energy sources and electric vehicles, has been integrated with the distribution networks causing several technical issues. As a result, the penetration of the renewable energy sources can be limited by the utility companies. Smart grid has been emerged as one of the solutions to the technical issues, hence allowing the usage of renewable and improving the energy efficiency of the electrical grid. The challenge is to develop an intelligent management system to maintain the balance between the generation and demand. This task can be performed by using energy storage system. As part of the smart grid, the deployment of energy storage system plays a critical role in stabilizing the voltage and frequency of the networks with renewable energy sources and electric vehicles. This book chapter illustrates the revolution and the roles of energy storage for improving the network performance.

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Optimal Energy Trading Policy for Solar-Powered Microgrids: A Modeling Approach Based on Plug-in Hybrid Electric Vehicles

Urban Computing - Smart and Digital Cities ◽

10.1007/978-3-030-12255-3_16 ◽

2019 ◽

pp. 251-273

Author(s):

Hendrigo Batista da Silva ◽

Leonardo P. Santiago

Keyword(s):

Electric Vehicles ◽

Hybrid Electric Vehicles ◽

Energy Trading ◽

Optimal Energy ◽

Modeling Approach ◽

Hybrid Electric ◽

Solar Powered ◽

Trading Policy

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Optimal Energy Management of Railroad Electrical Systems with Renewable Energy and Energy Storage Systems

Sustainability ◽

10.3390/su11226293 ◽

2019 ◽

Vol 11 (22) ◽

pp. 6293 ◽

Cited By ~ 5

Author(s):

Seunghyun Park ◽

Surender Reddy Salkuti

Keyword(s):

Renewable Energy ◽

Energy Storage ◽

Energy Management ◽

Storage Systems ◽

Solar Pv ◽

Energy Storage Systems ◽

Hybrid Energy ◽

Hybrid Energy Storage ◽

Optimal Energy ◽

Optimal Energy Management

The proposed optimal energy management system balances the energy flows among the energy consumption by accelerating trains, energy production from decelerating trains, energy from wind and solar photovoltaic (PV) energy systems, energy storage systems, and the energy exchange with a traditional electrical grid. In this paper, an AC optimal power flow (AC-OPF) problem is formulated by optimizing the total cost of operation of a railroad electrical system. The railroad system considered in this paper is composed of renewable energy resources such as wind and solar PV systems, regenerative braking capabilities, and hybrid energy storage systems. The hybrid energy storage systems include storage batteries and supercapacitors. The uncertainties associated with wind and solar PV powers are handled using probability distribution functions. The proposed optimization problem is solved using the differential evolution algorithm (DEA). The simulation results show the suitability and effectiveness of proposed approach.

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