Control and operation of a three‐phase local energy router for prosumers in a smart community

Roncero‐Clemente, Carlos; Vilhena, Nuno; Delgado-Gomes, Vasco; Romero‐Cadaval, Enrique; Martins, J. F.

doi:10.1049/iet-rpg.2019.0589

Cited by 18 publications

(9 citation statements)

References 32 publications

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“…In this paper, an algorithm based on the perturb and observe (P&O) method with adaptive step to minimize the power fluctuation is implemented. Details of this method are available in [27]. Figure 5 represents a typical P-V curve where the maximum power point with coordinates (VMPP, PMPP) is marked.…”

Section: Pv Power Regulationmentioning

confidence: 99%

A Multi-Criteria Computer Package-Based Energy Management System for a Grid-Connected AC Nanogrid

2021

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The electric system scenario has been changing during the last years moving to a distributed system with a high penetration of renewables. Due to the unpredictable behavior of some renewables sources, the development of the energy management system is considered crucial to guarantee the reliability and stability of the system. At the same time, increasing the lifespan of the energy storage system is one of the most important points to take into account. In this sense, a software package implemented in the computer algebra system Maple is proposed in this work to control a grid-connected nanogrid with hybrid energy storage system (composed by batteries and supercapacitors). The energy management system considers several rules as the state of charge of the energy storage system, the photovoltaic power generation and the load profile, the nanogrid power trend and the energy prices. The improved performance of the nanogrid is proven by simulations in MATLAB/Simulink.

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Section: Pv Power Regulationmentioning

confidence: 99%

A Multi-Criteria Computer Package-Based Energy Management System for a Grid-Connected AC Nanogrid

2021

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“…Carlos et al. [15] proposed an EER that can control active and reactive power, but the design is three‐phase, which is applied to smart community but is not suitable for home users. Sahar et al.…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, it is necessary to design an EER for the intelligent management of household electricity. Carlos et al [15] proposed an EER that can control active and reactive power, but the design is three-phase, which is applied to smart community but is not suitable for home users. Sahar et al [16] studied the optimal scheduling of residential complex based on renewable energy under the real-time pricing mechanism.…”

Section: Introductionmentioning

confidence: 99%

Energy management scheme of single‐phase electric energy router with two‐layer intelligent control combined with optimal scheduling of battery

Zhao

Zha

et al. 2022

IET Renewable Power Gen

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As a key equipment in energy internet, the Electric Energy Router (EER) which takes the converter as the core device solved the problems of power diversity and multi-directional flow of power. This paper designs a household single-phase electric energy router (SPEER), and proposes an energy management scheme with two-layer intelligent control combined with optimal scheduling of battery under isolated grid and grid-connected conditions. The upper instruction layer mainly uses holistic intelligent decision-making and the lower execution layer controls each converter to complete the energy management of the entire system according to the upper instructions. In the isolated grid, The SPEER operates in three modes based on AC/DC distributed generation, AC/DC load and energy storage status to maintain the stability of the system. When connected to the grid, according to the actual situation of a certain place and the peak-valley price policy, the charging/discharging time and power flow direction of the battery can be optimized, which can improve the operating economy. Finally, the correctness of the proposed energy management scheme was verified through experiments.

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“…Energy routers are regarded as the primary network units for implementing energy internet [3–5]; therefore, energy routers are expected to become core components of future microgrids and 5G BS power supply systems [6]. Previous research [7] has demonstrated the advantages of energy routers with a focus on traditional power grids, which cannot meet the needs of microgrids involving multiple distributed energy sources.…”

Section: Introductionmentioning

confidence: 99%

Improved hybrid sparrow search algorithm for an extreme learning machine neural network for short‐term photovoltaic power prediction in 5G energy‐routing base stations

Yan

Guo

Hu³

et al. 2022

IET Renewable Power Gen

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Given the advancements in solar power generation and fifth-generation (5G) technologies, it is crucial to reduce energy consumption based on accurate predictions of the photovoltaic power requirements of 5G base stations (BSs) connected to renewable energy sources. To ensure sufficient prediction performance even under complex weather conditions and promote two-way flow of energy and information in the power supply system of the 5G BS, this work first proposes a reference scenario for a 5G BS with an energy router. Then, the comprehensive grey relational analysis is used to determine the optimal photovoltaic input variables. Finally, the improved logistic distribution, Laplacian distribution with inverse incomplete gamma-function weight factor, and nonlinear mutation perturbation strategy are introduced to improve the ability of the sparrow search algorithm to avoid locally optimal solutions for an extreme learning machine of the short-term photovoltaic power prediction model. The proposed model is applied to actual measured data for validation, and the results show that this model has the lowest mean percentage error as well as highest prediction accuracy under different weather conditions. The coefficient of determination for the proposed prediction model is greater than 99%; therefore, it is expected to improve the photovoltaic prediction performances of 5G energy-routing BSs as well as promote sustainable development and sharing of energy and information.

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Control and operation of a three‐phase local energy router for prosumers in a smart community

Cited by 18 publications

References 32 publications

A Multi-Criteria Computer Package-Based Energy Management System for a Grid-Connected AC Nanogrid

A Multi-Criteria Computer Package-Based Energy Management System for a Grid-Connected AC Nanogrid

Energy management scheme of single‐phase electric energy router with two‐layer intelligent control combined with optimal scheduling of battery

Improved hybrid sparrow search algorithm for an extreme learning machine neural network for short‐term photovoltaic power prediction in 5G energy‐routing base stations

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