Cooperative Planning of Active Distribution System With Renewable Energy Sources and Energy Storage Systems

Li, Rui; Wang, Wei; Xia, Mingchao

doi:10.1109/access.2017.2785263

Cited by 119 publications

(64 citation statements)

References 27 publications

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“…However, the major goal is to reduce power consumption and dependency of cellular relay stations from traditional grids, the work is related to our proposed aggregation scheme for cellular network relays. [8] introduce a multi-objective and multi-level model for the distribution system with RES and energy storage. The authors model RES and energy storage planning as an optimization problem using modified Pareto-based particle swarm optimization (PSO).…”

Section: A Smart Meter and Off-gridmentioning

confidence: 99%

“…The authors model RES and energy storage planning as an optimization problem using modified Pareto-based particle swarm optimization (PSO). Our proposed scheme can benefit [8] by providing pervasive and continuous monitoring and control. Another study in [9] model penetration of RES as multigenerator interconnected power network.…”

Section: A Smart Meter and Off-gridmentioning

confidence: 99%

“…• Use of green energy for relays. Rui Li et.al [8] Cooperative distribution system • RREs and energy storage planning and distribution • Optimal solution using Pareto-based PSO Shaghayegh Kazemlou et.al [9] Decentralized RES control…”

Section: B Random Access In Ltementioning

confidence: 99%

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NB-IoT Pervasive Communications for Renewable Energy Source Monitoring

Kumbhar¹

2018

ijacsa

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Renewable sources like solar and wind energy have seen a drastic increase in the market, especially in developing countries where electricity prices are high and QoS and QoE, both are at their lowest. In this paper, we innovate by proposing a paradigm of smart off-grid from sensing using an Internet of Things (IoT) based smart meter for continuous monitoring, to reporting a daily user on their smart devices using IoT middleware. Our proposed smart off-grid system keeps track of the performance and faults of the off-grid equipment. Under communication technology scrutiny, we model 3GPP Narrow Band IoT (NB-IoT) collision and success probability of grouping smart meter communications to avoid random access channel (RACH) congestion. The proposed smart off-grid communications outperform existing systems and achieve 1.3 to 20 times higher SINR, more than 30 Mbps data rate in 4G, three times higher data rate in NB-IoT, 25% fewer collisions and 25% higher success rate.

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Section: A Smart Meter and Off-gridmentioning

confidence: 99%

Section: A Smart Meter and Off-gridmentioning

confidence: 99%

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NB-IoT Pervasive Communications for Renewable Energy Source Monitoring

Kumbhar¹

2018

ijacsa

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“…On the other hand, they improve the friendliness of the energy interaction between the users and grid. However, the efficiency and power density of the energy storage unit needs to be further improved [1][2][3]. Therefore, as the interface circuit of distributed energy storage units, the grid-connected converter needs to highlight two aspects of performance: (1) High efficiency to achieve the bidirectional flow of energy.…”

Section: Introductionmentioning

confidence: 99%

Parameters Design and Optimization of a High Frequency, Interleaved, Dual-Buck, Bidirectional, Grid-Connected Converter

Cui

Wang

2019

Electronics

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In this paper, a high frequency, interleaved, dual-buck, bidirectional, grid-connected converter topology is proposed. Free from the straight-through and dead-time distortion issues, both higher switching frequency and power density can be achieved. Due to the interleaved technique, the current ripple and stress for inductors and other power devices can be effectively reduced. Moreover, a novel filter parameter design method is proposed. The method is optimized with smaller inductance, higher filtering performance, and better steady-state performance. For one thing, the performance requirements under the two states of inverter and rectifier are comprehensively considered. For another, the relationship between the performance indexes and the filter parameters is analyzed. However, the results show that the relationship between the performance indexes is contradictory. A set of optimization parameters were obtained by setting the priority of the filter performance index. The specific design process of the filter parameters is given in detail. In order to verify the rationality of the parameter design, a 5 kW prototype was built and tested. The total harmonic distortions (THDs) of the grid currents in the among grid-connected inverter, off-connected inverter, and rectifier states under full load were 2.7%, 1.2%, and 4.5%, respectively, and the power density reached 36 W/in 3 .

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“…Scenario analysis has been widely used in the optimal configuration of DG at this stage [12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Distributed Generation Planning in Active Distribution Networks Based on Multi-Scene Analysis

Lv¹,

Li²,

Guo³

et al. 2019

Preprint

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In recent years, distributed generation technology has developed rapidly. Renewable energy, represented by wind energy and solar energy, has been widely studied and utilized. In order to give full play to the advantages of Distributed Generation (DG) and meet the challenges after power grid access, Active Distribution Network (ADN) is considered as the future development direction of traditional distribution network because of its ability of active management. Nowadays, multi-scenario analysis is widely used in the research of optimal allocation of distributed power supply in active distribution network. Aiming at the problems that may arise when using multi-scenario analysis to plan DG with uncertainties in large-scale scenarios, a scenario reduction method based on improved clustering algorithm is proposed. The validity of the scene reduction method is tested, and the feasibility of the method is verified. At present, there are few studies on the optimal allocation of DG in ADN under fault state. In this paper, comprehensive safety indicators are introduced. Considering the timing characteristics of DG and the influence of active management mode, a bi-level programming model is established, which aims at minimizing the investment of annual life cycle and the removal of active power. The bi-level model is a complex mixed integer non-linear programming model. A hybrid algorithm combining cuckoo search algorithm and primal dual interior point method is used to solve the model. Finally, through the simulation of the IEEE-33 node system, the superiority of the scenario reduction method and the comprehensive security index used in this paper to optimize the configuration of DG in ADN is verified.

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Cooperative Planning of Active Distribution System With Renewable Energy Sources and Energy Storage Systems

Cited by 119 publications

References 27 publications

NB-IoT Pervasive Communications for Renewable Energy Source Monitoring

NB-IoT Pervasive Communications for Renewable Energy Source Monitoring

Parameters Design and Optimization of a High Frequency, Interleaved, Dual-Buck, Bidirectional, Grid-Connected Converter

Distributed Generation Planning in Active Distribution Networks Based on Multi-Scene Analysis

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