Electrical Power Systems: Evolution from Traditional Configuration to Distributed Generation and Microgrids

Delboni, Luiz Fernando; Marujo, Diogo; Balestrassi, Pedro Paulo; Oliveira, Denisson Q.

doi:10.1007/978-3-319-98687-6_1

Cited by 18 publications

(9 citation statements)

References 18 publications

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“…Nowadays, traditional power systems are facing a transition, shifting towards modern, sustainable and active networks [1].…”

Section: Motivationmentioning

confidence: 99%

“…Nowadays, traditional power systems are facing a transition, shifting towards modern, sustainable and active networks [1]. In order to gradually reach this change, it is necessary to incorporate smart grid concepts along with Distributed Generation (DG), Energy Storage Systems (ESS), Energy Management Systems (EMS), and the participation of energy end‐users [2].…”

Section: Introductionmentioning

confidence: 99%

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Demand response integration in microgrid planning as a strategy for energy transition in power systems

Mina-Casaran

Echeverry

Lozano

2021

IET Renewable Power Gen

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For a long time, the planning of power systems has considered technical and economic aspects related to Supply Side Management. Given that this traditional planning approach is not very flexible, and due to new technological trends like the adoption of smart grids, it has become necessary for demand to play an active role in the operation of power systems. This raises the need to implement a new process for power system planning, focusing on technologies such as microgrids with Demand Side Management, which contribute to the sustainable development of communities. In this paper, a comprehensive review of microgrid planning, considering energy end‐user participation through Demand Response, is carried out. In addition, the main features and implications of Demand Response programs in microgrid planning are presented. As a contribution, in order to trigger a paradigm shift on how power systems are planned, the benefits of bottom‐up microgrid planning are presented.

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“…Nowadays, traditional power systems are facing a transition, shifting towards modern, sustainable and active networks [1].…”

Section: Motivationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Demand response integration in microgrid planning as a strategy for energy transition in power systems

Mina-Casaran

Echeverry

Lozano

2021

IET Renewable Power Gen

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“…Nowadays, power systems face an energy transition process that involves the concepts of smart grids, distributed generation and storage, demand side management and demand response [1]. These trends in electrical grids are changing the way traditional electrical systems are planned and operated, giving way to the deployment of joint solutions for the generation, distribution and consumption of energy, such as microgrids [2].…”

Section: Introduction 1motivationmentioning

confidence: 99%

On the Value of Community Association for Microgrid Development: Learnings from Multiple Deterministic and Stochastic Planning Designs

et al. 2021

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The reliability of the power grid is a constant problem faced by those who operate, plan and study power systems. An alternative approach to this problem, and others related to the integration of renewable energy sources, is the microgrid. This research seeks to quantify the potential benefits of urban community microgrids, based on the development of planning models with deterministic and stochastic optimization approaches. The models ensure that supply meets demand whilst assuring the minimum cost of investment and operation. To verify their effectiveness, the planning of hundreds of microgrids was set in the city of Santiago de Chile. The most important results highlight the value of community association, such as: a reduction in investment cost of up to 35%, when community microgrids are planned with a desired level of reliability, compared to single residential household microgrids. This reduction is due to the diversity of energy consumption, which can represent around 20%, on average, of cost reduction, and to the Economies of Scale (EoS) present in the aggregation microgrid asset capacity, which can represent close to 15% of the additional reduction in investment costs. The stochastic planning approach also ensures that a community can prepare for different fault scenarios in the power grid. Furthermore, it was found that for approximately 90% of the planned microgrids with reliability requirements, the deterministic solution for the worst three fault scenarios is equivalent to the solution of the stochastic planning problem.

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“…In addition, the grid configurations have been delineated to adopt distributed generation (DG) and renewable energies. Therefore, micro grids and nano grids are currently managed, which have similar characteristics to conventional power grids, but of reduced dimension [2,5]; through these, a bidirectional electricity market can be developed [5,6], which on the one hand provides certain advantages in terms of DG adaptation, but on the other hand generates disadvantages concerning control, regulation, protection and customer participation [7,8]. Undoubtedly, the key to the future of smart grids is aimed at the conformation of smart micro grids and the inclusion of advanced control techniques for their interaction with conventional grids.…”

Section: Introductionmentioning

confidence: 99%

Optimal Performance and Modeling of Wireless Technology Enabling Smart Electric Metering Systems Including Microgrids

Suarez

Inga

2021

Sensors

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This work is focused on the performance analysis and optimal routing of wireless technology for intelligent energy metering, considering the inclusion of micro grids. For the study, a geo-referenced scenario has been taken into account, which will form the structure of a graph to be solved using heuristic-based algorithms. In the first instance, the candidate site of the world geography to perform the case study is established, followed by deploying infrastructure devices and determining variables and parameters. Then, the model configuration is programmed, taking into account that a set of nodes and vertices is established for proper routing, resulting in a preliminary wireless network topology. Finally, from a set of restrictions, a determination of users connected to the concentrator and optimal routing is performed. This procedure is treated as a coverage set problem. Consequently, to establish the network parameters, two restrictions are specifically considered, capacity and range; thus, can be determined the best technology to adapt to the location. Finally, a verification of the resulting network topologies and the performance of the infrastructure is done by simulating the wireless network. With the model created, scenarios are tested, and it is verified that the optimization model demonstrates its effectiveness.

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Electrical Power Systems: Evolution from Traditional Configuration to Distributed Generation and Microgrids

Cited by 18 publications

References 18 publications

Demand response integration in microgrid planning as a strategy for energy transition in power systems

Demand response integration in microgrid planning as a strategy for energy transition in power systems

On the Value of Community Association for Microgrid Development: Learnings from Multiple Deterministic and Stochastic Planning Designs

Optimal Performance and Modeling of Wireless Technology Enabling Smart Electric Metering Systems Including Microgrids

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