scholarly journals Electricity Cost Optimization in Energy Storage Systems by Combining a Genetic Algorithm with Dynamic Programming

Mathematics ◽  
2020 ◽  
Vol 8 (9) ◽  
pp. 1526 ◽  
Author(s):  
Seung-Ju Lee ◽  
Yourim Yoon
Keyword(s):  
Genetic Algorithm ◽  
Dynamic Programming ◽  
Energy Storage ◽  
Storage Systems ◽  
Cost Optimization ◽  
Energy Storage Systems ◽  
Electricity Cost ◽  
Efficient Charge ◽  
Time Of Use Pricing ◽  
Charge Discharge

Recently, energy storage systems (ESSs) are becoming more important as renewable and microgrid technologies advance. ESSs can act as a buffer between generation and load and enable commercial and industrial end users to reduce their electricity expenses by controlling the charge/discharge amount. In this paper, to derive efficient charge/discharge schedules of ESSs based on time-of-use pricing with renewable energy, a combination of genetic algorithm and dynamic programming is proposed. The performance of the combined method is improved by adjusting the size of the base units of dynamic programming. We show the effectiveness of the proposed method by simulating experiments with load and generation profiles of various commercial electricity consumers.

scholarly journals Virtual screening of norbornadiene-based molecular solar thermal energy storage systems using a genetic algorithm

2021 ◽  
Author(s):  
Nicolai Ree ◽  
Mads Koerstz ◽  
Kurt V. Mikkelsen ◽  
Jan H. Jensen
Keyword(s):  
Genetic Algorithm ◽  
Energy Storage ◽  
Storage Systems ◽  
Chemical Space ◽  
Tight Binding ◽  
Solar Spectrum ◽  
High Energy ◽  
Solar Thermal ◽  
Solar Thermal Energy ◽  
Energy Storage Systems

We present a computational methodology for the screening of a chemical space of 10²⁵ substituted norbornadiene molecules for promising kinetically stable molecular solar thermal (MOST) energy storage systems with high energy densities that absorb in the visible part of the solar spectrum. We use semiempirical tight-binding methods to construct a dataset of nearly 34,000 molecules and train graph convolutional networks to predict energy densities, kinetic stability, and absorption spectra and then use the models together with a genetic algorithm to search the chemical space for promising MOST energy storage systems. We identify 15 kinetically stable molecules, five of which have energy densities greater than 0.45 MJ/kg and the main conclusion of this study is that the largest energy density that can be obtained for a single norbornadiene moiety with the substituents considered here, while maintaining a long half-life and absorption in the visible spectrum, is around 0.55 MJ/kg.

scholarly journals Frequency control of microgrid system based renewable generation using fractional PID controller

2020 ◽  
Vol 19 (2) ◽  
pp. 745
Author(s):  
Regad Mohamed ◽  
M. Helaimi ◽  
Rachid Taleb ◽  
Hossam A. Gabbar ◽  
Ahmed M. Othman
Keyword(s):  
Genetic Algorithm ◽  
Energy Storage ◽  
Fractional Order ◽  
Pid Controller ◽  
Storage Systems ◽  
Optimization Techniques ◽  
Energy Storage Systems ◽  
Krill Herd ◽  
Fractional Order Pid ◽  
Fractional Order Pid Controller

This paper addresses a control frequency scheme of the microgrid system using a fractional order PID controller. The proposed Microgrid system is consisted of a Photovoltaic System, Wind Turbine Generator, Diesel Engine Generator, Fuel Cell, and different storage systems like Battery Energy Storage Systems, and Flywheel Energy Storage Systems. The principal objective of the present paper is to limit the frequency and power deviations by the application of the proposed controller which has five parameters to be determined through optimization techniques. Krill Herd algorithm is used for determining the optimum fractional order PID controller parameters using the Integral of Squared Error. A comparison between the Genetic Algorithm and Krill Herd is done, and the obtained simulation results presents that the investigated controller-based Krill Herd outperforms the Genetic Algorithm in terms of fewer fluctuations in power and frequency deviation.

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