scholarly journals A mathematical model‐based approach for DC multi‐microgrid performance evaluations considering intermittent distributed energy resources, energy storage, multiple load classes, and system components variations

2021 ◽  
Author(s):  
Hafiz Muhammad Anees ◽  
Syed Ali Abbas Kazmi ◽  
Muhammad Naqvi ◽  
Salman Raza Naqvi ◽  
Faizan Dastgeer ◽  
...  
Keyword(s):  
Mathematical Model ◽  
Energy Storage ◽  
Performance Evaluations ◽  
Energy Resources ◽  
Distributed Energy Resources ◽  
Distributed Energy ◽  
Model Based ◽  
System Components ◽  
Multiple Load

Microgrids physics model-based fault location formulation: Analytic-based distributed energy resources effect compensation

2021 ◽  
Vol 195 ◽  
pp. 107178
Author(s):  
A.S. Bretas ◽  
C. Orozco-Henao ◽  
J. Marín-Quintero ◽  
O.D. Montoya ◽  
W. Gil-González ◽  
...  
Keyword(s):  
Fault Location ◽  
Energy Resources ◽  
Distributed Energy Resources ◽  
Distributed Energy ◽  
Model Based ◽  
Physics Model

Evaluation of Commercial Building Clusters With Energy Storage to Reduce Reliance on Electrical Utility Grids

2021 ◽  
Author(s):  
Gregory Kaminski ◽  
Philip Odonkor
Keyword(s):  
Energy Storage ◽  
Storage Systems ◽  
Storage System ◽  
Energy Resource ◽  
Energy Resources ◽  
Distributed Energy Resources ◽  
Commercial Building ◽  
Distributed Energy ◽  
Distributed Resources ◽  
And Storage

Abstract The decreasing cost of implementation and increasing regulatory incentive to lower energy use have led to an increased adoption of distributed energy resources in recent years. This increased adoption has been further fueled by a surge in energy consciousness and the expansion of energy-saving products and technologies. To lower reliance on the electrical grid and fully realize the benefits of distributed energy resources, many consumers have also elected to use battery systems to store generated energy. For owners of multiple buildings, or multiple owners willing to share the operational cost, building clusters may be formed to more effectively take advantage of these distributed resources and storage systems. The implementation of these systems in existing buildings introduces the question of what makes a “good” building cluster. Furthermore, the scalable nature of distributed energy sources and storage systems create countless possibilities for system configuration. Through comparison of unique two-building clusters from a stock of five buildings with a given distributed energy resource (in this case, a solar photovoltaic panel array) and energy storage system, we develop a fundamental understanding of the underlying factors that allow building clusters to be less reliant on the utility grid and make better use of energy generation and storage systems.

Análise da Inserção de Sistemas de Armazenamento de Energia por Bateria na Rede Elétrica - Estudo de Caso

2020 ◽  
Author(s):  
Rayssa Silva Leal ◽  
Paulo Davi A. de Freitas Araujo ◽  
Patrick Diego A. da Silva ◽  
Diógenes M. R. de Sousa ◽  
Samuel Pereira da Rocha ◽  
...  
Keyword(s):  
Energy Storage ◽  
Storage System ◽  
Energy Storage System ◽  
Energy Resources ◽  
Distributed Energy Resources ◽  
Distributed Energy

Atualmente o estudo da aplicabilidade de recursos energeticos distribudos (distributed energy resources - DER) apresenta-se como fundamental no que se refere ao suprimento, conabilidade e qualidade da energia eletrica. Isso se deve, dentre outros fatores, ao aumento signicativo da geração distribuda (GD), em especial a partir de energia eólica, solar e biomassa, as quais apresentam maior variabilidade do que o previsto no modelo classico de controle do sistema eletrico. Uma possvel solução e o uso de sistemas de armazenamento de energia (ESS -energy storage system), os quais podem proporcionar estabilidade da rede, alem de, possibilitar a conservação de recursos energéticos fosseis e reduzir o impacto ambiental de geração de energia. Nesse sentido, este trabalho e resultado de um projeto de P&D/ANEEL, cujos objetivos foram, desenvolver uma solução, atraves de um produto nacional combinando hardware e software e construir plantas hbridas utilizando usinas fotovoltaicas e geração com biomassa combinadas com armazenamento de energia utilizando baterias. Para avaliação e validação das melhorias na rede uma planta experimental com ESS a baterias e GD fotovoltaica foi construda, permitindo injeção ou consumo controlados de potência ativa e reativa na rede eletrica. Uma breve revisão sobre sistemas de armazenamento, mas especicamente baterias, e concentrando o estudo nas baterias de chumbo acido e ons de ltio, tecnologias estas utilizadas na planta em estudo. Foram adquiridos dados da planta real e corroborados com simulações realizadas na plataforma MATLAB/SIMULINKTM a partir dos quais foram realizadas analises do comportamento da inserção de DER, na rede eletrica.

scholarly journals Multi-Objective Optimization and Dispatch of Distributed Energy Resources for Renewable Power Utilization Considering Time-of-Use Tariff

2021 ◽  
Vol 9 ◽  
Author(s):  
Qinhao Xing ◽  
Meng Cheng ◽  
Shuran Liu ◽  
Qianliang Xiang ◽  
Hailian Xie ◽  
...  
Keyword(s):  
Energy Storage ◽  
Electric Vehicles ◽  
Energy Resources ◽  
Energy Utilization ◽  
Distributed Energy Resources ◽  
Multi Objective Optimization ◽  
Distributed Energy ◽  
Demand Forecast ◽  
Multi Objective ◽  
The Impact

The intermittency of wind and solar power generation brings risks to the safety and stability of the power system. In order to maximize the utilization of renewables, optimal control and dispatch methods of the Distributed Energy Resources including the generators, energy storage and flexible demand are necessary to be researched. This paper proposes an optimization and dispatch model of an aggregation of Distributed Energy Resources in order to facilitate the integration of renewables while considering the benefits for dispatchable resources under time-of-use tariff. The model achieves multi-objective optimization based on the constraints of day-ahead demand forecast, wind and solar generation forecast, electric vehicles charging routines, energy storage and DC power flow. The operating cost, the renewable energy utilization and the revenues of storages and electric vehicles are considered and optimized simultaneously through the min–max unification method to achieve the multi-objective optimization. The proposed model was then applied to a modified IEEE-30 bus case, demonstrating that the model is able to reconcile all participants in the system. Sensitivity analysis was undertaken to study the impact of initial states of the storages on the revenues to the resource owners.

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