Smart production scheduling with time-dependent and machine-dependent electricity cost by considering distributed energy resources and energy storage

2013 ◽  
Vol 52 (13) ◽  
pp. 3922-3939 ◽  
Author(s):  
Joon-Yung Moon ◽  
Jinwoo Park
Keyword(s):  
Energy Storage ◽  
Production Scheduling ◽  
Energy Resources ◽  
Time Dependent ◽  
Distributed Energy Resources ◽  
Distributed Energy ◽  
Electricity Cost

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.

A non-cooperative game based energy management considering distributed energy resources in price-based and incentive-based demand response program

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Monika Gaba ◽  
Saurabh Chanana
Keyword(s):  
Energy Management ◽  
Cooperative Game ◽  
Demand Response ◽  
Energy Resources ◽  
Distributed Energy Resources ◽  
Distributed Energy ◽  
Energy Storage Devices ◽  
Electricity Cost ◽  
Distributed Approach ◽  
The Impact

Abstract Demand response (DR), an integral part of the smart grid, has great potential in handling the challenges of the existing power grid. The potential of different DR programs in the energy management of residential consumers (RCs) and the integration of distributed energy resources (DERs) is an important research topic. A novel distributed approach for energy management of RCs considering the competitive interactions among them is presented in this paper. The impact of participation of RC’s in price-based (PB) and incentive-based (IB) DR programs is investigated using game theory. For this, an energy management optimization problem (EMOP) is formulated to minimize electricity cost. The utility company employs electricity price as a linear function of aggregated load in the PB DR program and an incentive rate in the IBDR program. RCs are categorized into active and passive users. Active users are further distinguished based on the ownership of energy storage devices (SD) and dispatchable generation units (DGU). EMOP is modeled using a non-cooperative game, and the distributed proximal decomposition method is used to obtain the Nash equilibrium of the game. The results of the proposed approach are analyzed using different case studies. The performance of the proposed approach is evaluated in terms of aggregated cost and system load profile. It has been observed that participation in PB and IBDR program benefits both the utility and the consumers.

Design of an Agent-Based Technique for Controlling Interconnected Distributed Energy Resource Transactions

2017 ◽  
Author(s):  
Samantha Janko ◽  
Nathan G. Johnson
Keyword(s):  
Electricity Market ◽  
Energy Resource ◽  
Electric Utility ◽  
Energy Resources ◽  
Distributed Energy Resources ◽  
Electrical Network ◽  
Distributed Energy ◽  
Agent Based ◽  
Electricity Cost ◽  
Distributed Energy Resource

Electricity has traditionally been a commodity that is bought and sold through a rigid marketplace between an electric utility and a ratepayer. Today, however, the electricity market is rapidly evolving to be comprised of distributed energy resources and microgrids that change the structure of the technical and financial relationship between utilities and ratepayers. Regulation, a reduction in cost of renewable energy technologies, interoperability and improved communications, and public interest in green power are facilitating this transition. Microgrids require an additional layer of control, often use preprogrammed rule sets, and lack bi-directional self-awareness, self-management, and self-diagnostics necessary to dynamically adapt to changes on-site and in the grid. Research is needed in optimization and controls. This study explores the viability of self-organizing control algorithms to manage multiple distributed energy resources within a distribution network and reduce electricity cost to one or more ratepayers having such resources installed on-site. Such research provides insight into the transition from a traditional power distribution architecture into a flexible smart network that is better prepared for future technological advances, renewables integration, and customer-side control. Agent-based techniques are employed for least-cost optimization and implements these to manage transactions between three decentralized distributed energy resource systems within an electrical network.

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.

scholarly journals Coalition Formation of Microgrids with Distributed Energy Resources and Energy Storage in Energy Market

2020 ◽  
Vol 8 (5) ◽  
pp. 906-918
Author(s):  
Jaber Valinejad ◽  
Mousa Marzband ◽  
Mert Korkali ◽  
Yijun Xu ◽  
Ameena Saad Al-Sumaiti
Keyword(s):  
Energy Storage ◽  
Coalition Formation ◽  
Energy Resources ◽  
Distributed Energy Resources ◽  
Energy Market ◽  
Distributed Energy
Sign in / Sign up

Export Citation Format

Share Document