Multi-time-scales energy management for grid-on multi-layer microgrids cluster

Xing, Xiangwei; Meng, Hongmin; Xie, Liang-Liang; Toledo, Sérgio; Zhang, Yuzhi; Guerrero, Josep M.

doi:10.1109/spec.2017.8333656

Cited by 15 publications

(12 citation statements)

References 9 publications

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“…Xing et al [37] presented an energy management system based on multiple time-scales. The optimization problem considers two aspects: A diary static programming and dynamic compensation in real time.…”

Section: Energy Management Based On Linear and Non-linear Programmingmentioning

confidence: 99%

Energy Management in Microgrids with Renewable Energy Sources: A Literature Review

2019

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Renewable energy sources have emerged as an alternative to meet the growing demand for energy, mitigate climate change, and contribute to sustainable development. The integration of these systems is carried out in a distributed manner via microgrid systems; this provides a set of technological solutions that allows information exchange between the consumers and the distributed generation centers, which implies that they need to be managed optimally. Energy management in microgrids is defined as an information and control system that provides the necessary functionality, which ensures that both the generation and distribution systems supply energy at minimal operational costs. This paper presents a literature review of energy management in microgrid systems using renewable energies, along with a comparative analysis of the different optimization objectives, constraints, solution approaches, and simulation tools applied to both the interconnected and isolated microgrids. To manage the intermittent nature of renewable energy, energy storage technology is considered to be an attractive option due to increased technological maturity, energy density, and capability of providing grid services such as frequency response. Finally, future directions on predictive modeling mainly for energy storage systems are also proposed.

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Section: Energy Management Based On Linear and Non-linear Programmingmentioning

confidence: 99%

Energy Management in Microgrids with Renewable Energy Sources: A Literature Review

2019

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“…And use particle swarm optimization algorithm to solve. [17] aimed at the multilevel microgrid cluster system that is connected to the grid, and aimed at minimizing the total operating cost, constructed a multi-time scale microgrid cluster energy management optimization model, and performed static optimization of the microgrid operation based on forecast data. However, [16] and [17] use centralized optimization methods to solve their respective models, which have high requirements for communication systems and poor reliability.…”

Section: Introductionmentioning

confidence: 99%

“…[17] aimed at the multilevel microgrid cluster system that is connected to the grid, and aimed at minimizing the total operating cost, constructed a multi-time scale microgrid cluster energy management optimization model, and performed static optimization of the microgrid operation based on forecast data. However, [16] and [17] use centralized optimization methods to solve their respective models, which have high requirements for communication systems and poor reliability. [18] considers multiple microgrid systems connected to the same public connection point to ensure the exchange power requirements at the public connection point, and establishes a multi-microgrid coordination optimization model with the goal of minimizing the total operating cost, and based on the sub-gradient algorithm and consistency algorithm design distributed optimization strategy.…”

Section: Introductionmentioning

confidence: 99%

“…[19] based on the advantages and application prospects of the microgrid cluster, proposed a bi-level hierarchical optimization method for the MGC energy management system in the smart grid environment, and realized the economic operation of the microgrid cluster. However, the optimization model established in [17]- [19] only considers the minimum operating cost. Although the economic benefits of the microgrid have been improved, the reliability of power supply is ignored.…”

Section: Introductionmentioning

confidence: 99%

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Research on Bi-Level Optimized Operation Strategy of Microgrid Cluster Based on IABC Algorithm

Zhang

Wang

et al. 2021

IEEE Access

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This paper considers the economy and reliability of the microgrid cluster system, and proposes a bi-level optimized operation strategy for the microgrid cluster, which aims to improve the economic benefits of the microgrid cluster and reduce the operating risk of microgrid. The upper layer takes the microgrid cluster as the research object, with the goal of minimizing the total operating cost of the system, and establishes the optimal model of the microgrid cluster. The lower layer takes the sub-microgrid as the research object, and establishes the microgrid optimization model with the goal of optimal operating cost and operating risk index. The method of combining mixed integer linear programming and IABC algorithm is used to solve the multi-objective bi-level optimization model, and to provide decision makers with two microgrid dispatching schemes with different focuses. Finally, an example is used to verify the effectiveness of the bi-level optimization strategy and improved algorithm proposed in this paper, as well as the practicability of the two dispatching schemes. INDEX TERMS microgrid, microgrid cluster, multi-objective, improved artificial bee colony algorithm, bi-level optimization model

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“…[13] established an interactive optimization model for multi-microgrids based on the multi-agent system architecture, took into account the different operating states of each microgrid, optimized the output of each microgrid and distributed power sources, and adopted a particle swarm optimization algorithm to solve the problem. [14] aimed at the multi-level microgrid cluster system in gridconnected operation, with the goal of minimizing the total operating cost, constructed a multi-time scale microgrid cluster energy management optimization model, and performed static optimization of the microgrid operation based on forecast data a few days ago. Although the economic benefits of the microgrid cluster have been improved, the reliability of power supply has been neglected.…”

Section: Introductionmentioning

confidence: 99%

Research on Two-Level Energy Optimized Dispatching Strategy of Microgrid Cluster Based on IPSO Algorithm

et al. 2021

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This paper considers the economy and stability of the microgrid cluster system, and proposes a two-level energy optimization dispatching strategy for the microgrid cluster, which aims to coordinate the economic benefits and operational risks of the microgrid while reducing the interactive power and fluctuations between the microgrid cluster and the distribution network, and reduce line loss. The first level takes the microgrid as the research object, takes the highest economic benefit and the lowest operational risk as the optimization goals, uses the improved PSO algorithm to solve the problem, and builds the unit risk-economic benefit ratio screening solution set, and then formulates the internal dispatching candidate strategy of the microgrid. The second level is based on the premise that the interactive power between the microgrid cluster and the distribution network is minimized, and the optimal internal dispatching strategy of each microgrid is determined. Then the line loss of the microgrid cluster system is considered, and the microgrid cluster energy complementary scheme is formulated. Finally, a practical example verifies the feasibility and effectiveness of the two-level dispatching strategy and the improved algorithm.INDEX TERMS microgrid, microgrid cluster, multi-objective, improved particle swarm optimization algorithm, two-level optimization model

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Multi-time-scales energy management for grid-on multi-layer microgrids cluster

Cited by 15 publications

References 9 publications

Energy Management in Microgrids with Renewable Energy Sources: A Literature Review

Energy Management in Microgrids with Renewable Energy Sources: A Literature Review

Research on Bi-Level Optimized Operation Strategy of Microgrid Cluster Based on IABC Algorithm

Research on Two-Level Energy Optimized Dispatching Strategy of Microgrid Cluster Based on IPSO Algorithm

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