scholarly journals Optimal Location and Sizing of Energy Storage Systems in DC-Electrified Railway Lines Using a Coral Reefs Optimization Algorithm with Substrate Layers

Energies ◽  
2021 ◽  
Vol 14 (16) ◽  
pp. 4753
Author(s):  
David Roch-Dupré ◽  
Carlos Camacho-Gómez ◽  
Asunción P. Cucala ◽  
Silvia Jiménez-Fernández ◽  
Álvaro López-López ◽  
...  
Keyword(s):  
Energy Storage ◽  
Coral Reefs ◽  
Storage Systems ◽  
Optimal Solution ◽  
Optimal Location ◽  
Energy Storage Systems ◽  
Coral Reefs Optimization Algorithm ◽  
Electrified Railway ◽  
High Level ◽  
Better Than

This paper deals with the problem of finding the optimal location and sizing of Energy Storage Systems in DC-electrified railway lines. These devices increment the use of the regenerated energy produced by the trains in the braking phases, as they store the energy to later provide to the catenary the excess of regenerated energy, that otherwise would be lost in the rheostats. However, these infrastructures require a high initial investment that, in some cases, may question their profitability. We propose a multi-method ensemble meta-heuristic to obtain the optimal solution to the problem, with a high level of accuracy. Specifically, the Coral Reefs Optimization with Substrate Layers (CRO-SL) is proposed, an evolutionary-type approach able to run different search procedures within the same population. We will evaluate the performance of the CRO-SL in the problem, and we will show that it performs better than the best known existing meta-heuristics for this problem.

scholarly journals Optimal Location-Reallocation of Battery Energy Storage Systems in DC Microgrids

Energies ◽  
2020 ◽  
Vol 13 (9) ◽  
pp. 2289 ◽  
Author(s):  
Oscar Danilo Montoya ◽  
Walter Gil-González ◽  
Edwin Rivas-Trujillo
Keyword(s):  
Energy Storage ◽  
Storage Systems ◽  
Optimal Location ◽  
Mixed Integer ◽  
Energy Storage Systems ◽  
Battery Energy Storage ◽  
Dc Microgrids ◽  
General Algebraic Modeling System ◽  
Battery Energy Storage Systems ◽  
Battery Energy

This paper deals with the problem of optimal location and reallocation of battery energy storage systems (BESS) in direct current (dc) microgrids with constant power loads. The optimization model that represents this problem is formulated with two objective functions. The first model corresponds to the minimization of the total daily cost of buying energy in the spot market by conventional generators and the second to the minimization of the costs of the daily energy losses in all branches of the network. Both the models are constrained by classical nonlinear power flow equations, distributed generation capabilities, and voltage regulation, among others. These formulations generate a nonlinear mixed-integer programming (MINLP) model that requires special methods to be solved. A dc microgrid composed of 21-nodes with existing BESS is used for validating the proposed mathematical formula. This system allows to identify the optimal location or reallocation points for these batteries by improving the daily operative costs regarding the base cases. All the simulations are conducted via the general algebraic modeling system, widely known as the General Algebraic Modeling System (GAMS).

scholarly journals Optimal deployment of energy storage systems in a DC-electrified railway system

2012 ◽  
Author(s):  
A. J. López-López ◽  
R. R. Pecharromán ◽  
J. A. García-Matos ◽  
A. Fernández-Cardador ◽  
A. P. Cucala
Keyword(s):  
Energy Storage ◽  
Storage Systems ◽  
Energy Storage Systems ◽  
Railway System ◽  
Optimal Deployment ◽  
Electrified Railway

scholarly journals Foreign experience of supporting development of technologies of storage of energy

2019 ◽  
Vol 81 (2) ◽  
pp. 341-351
Author(s):  
L. V. Kalimullin ◽  
D. K. Levchenko ◽  
Y. B. Smirnova ◽  
E. S. Tuzikova
Keyword(s):  
Energy Storage ◽  
Storage Systems ◽  
Technological Development ◽  
Energy Industry ◽  
Development Programs ◽  
Energy Storage Systems ◽  
High Level ◽  
Storage Technologies ◽  
Energy Companies ◽  
And Storage

The purpose of the research is to analyze the needs for supporting developed systems of energy storage and storage systems. The analysis of the main global global challenges and challenges associated with the prospects for the development of energy storage and storage systems in Russia. Energy storage and storage technologies in the leading countries for the development of this energy industry (European Union countries, USA, China). Recommendations are formulated to ensure the possibility of creating energy storage systems in Russia. Scientific novelty lies in the development of theoretical and methodological provisions of a system for stimulating the development of energy storage and storage technologies, based on experiments with a high level of technological development in the energy sector, capable of setting and achieving strategic technological fronts of state development. Energy industries, including industry development programs and corporate documents of energy companies; in support of projects for the implementation of initiatives for the development and development of energy storage systems; in the process of developing educational programs in the field of energy and cooperation projects.

scholarly journals Coordination between Demand Response Programming and Learning-Based FOPID Controller for Alleviation of Frequency Excursion of Hybrid Microgrid

Energies ◽  
2020 ◽  
Vol 13 (2) ◽  
pp. 442 ◽  
Author(s):  
Masoud Babaei ◽  
Ahmadreza Abazari ◽  
S. M. Muyeen
Keyword(s):  
Energy Storage ◽  
Demand Response ◽  
Control Mechanism ◽  
Fuzzy Inference ◽  
Storage Systems ◽  
Frequency Control ◽  
Renewable Energy Sources ◽  
Energy Storage Systems ◽  
Operational Conditions ◽  
High Level

In recent years, residential rate consumptions have increased due to modern appliances which require a high level of electricity demands. Although mentioned appliances can improve the quality of consumers’ lives to a certain extent, they suffer from various shortcomings including raising the electricity bill as well as serious technical issues such as lack of balance between electricity generation and load disturbances. This imbalance can generally lead to the frequency excursion which is a significant concern, especially for low-inertia microgrids with unpredictable parameters. This research proposes an intelligent combination of two approaches in order to alleviate challenges related to the frequency control mechanism. Firstly, a learning-based fractional-order proportional-integral-derivative (FOPID) controller is trained by recurrent adaptive neuro-fuzzy inference (RANFIS) in the generation side during various operational conditions and climatic changes. In the following, a decentralized demand response (DR) programming in the load side is introduced to minimize consumption rate through controllable appliances and energy storage systems (ESSs). Furthermore, parameters uncertainties and time delay, which are generally known as two main concerns of isolated microgrids, are regarded in the frequency plan of a low-inertia microgrid including renewable energy sources (RESs), and energy storage systems (ESSs). Simulation results are illustrated in three different case studies in order to compare the performance of the proposed two methods during various operational conditions. It is obvious that the frequency deviation of microgrid can be improved by taking advantage of intelligent combination of both DR program and modern control mechanism.

A Power Control Method to Save Energy for Wayside Energy Storage Systems in dc-Electrified Railway System

2016 ◽  
Vol 196 (2) ◽  
pp. 56-66 ◽  
Author(s):  
HIROYASU KOBAYASHI ◽  
JUNICHI ASANO ◽  
TATSUHITO SAITO ◽  
KEIICHIRO KONDO
Keyword(s):  
Energy Storage ◽  
Power Control ◽  
Control Method ◽  
Storage Systems ◽  
Energy Storage Systems ◽  
Railway System ◽  
Electrified Railway ◽  
Save Energy
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