Microgrid in China: A review in the perspective of application

Wei, Pengbang; Chen, Weidong

doi:10.1016/j.egypro.2019.01.059

Cited by 19 publications

(8 citation statements)

References 27 publications

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“…(3) cq P and (4) cq P are the percentages of quarterly load in terms of the annual peak load Ppeak, (1) q h , (2) q h and (3) q h are duration hours of quarter-1, quarter-2 and quarter-3, respectively. Let's define a random variable q with PDF fq(q) which is defined as follows:…”

Section: B Quarterly Varying Loadmentioning

confidence: 99%

“…Then, (1) q h , (2) q h and (3) q h are worked out by multiplying 8760 hours by the probabilities that q will be chosen from the first, second and third subintervals, respectively [24]: From ( 2), ( 3) and (4), we can see that the load has been modeled as a function of q. When η1, η2, η3 and η4 are equal to 1, duration hours of all the quarters will be identical.…”

Section: B Quarterly Varying Loadmentioning

confidence: 99%

“…(1) Annual peak loads of LP_A, LP_B, LP_C, LP_D and LP_E are all equal to 0.3 MW. The percentages of quarterly load in terms of the annual peak load, i.e., (1) cq P , (2) cq P , (3) cq P and (4) cq P are set to 0.5989, 0.1343, 0.9422 and 0.8081, respectively.…”

Section: A Information Of Test Systemmentioning

confidence: 99%

“…Reliability assessment of microgrids (MGs) has attracted more and more interests, since a growing number of customers are powered by MGs in a more flexible and environment-friendly way [1]- [3]. However, the ubiquitous issues with polymorphic uncertainties, such as stochastic operation cycles of MG components, intermittent output of distributed generators (DGs) and time varying load, etc., impose heavy computational burden on the reliability assessment of MGs [4].…”

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confidence: 99%

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A Novel Sequential Sampling Algorithm for Reliability Assessment of Microgrids

Song

Wang

et al. 2020

IEEE Access

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Due to the polymorphic uncertainties in microgrids (MGs), prohibitive computational burden is produced in reliability assessment. In this work, a novel sequential sampling algorithm (NSSA) compatible with sequential Monte Carlo (SMC) simulation is developed to overcome the computational burden. First, optimal probability density functions (PDFs) of random variables are worked out based on variation method. Then, optimal PDFs are employed to chronologically simulate the random states of microturbine (MT), photovoltaics (PV) and time varying load with improved computational efficiency. Therefore, the convergence of reliability assessment is accelerated accordingly. A series of case studies have been conducted, and the computational results show that NSSA provides a favorable sampling efficiency and adaptability to system conditions in reliability assessment of MGs. At last, based on optimal PDFs produced by NSSA, dominant joint PDF (DJ-PDF) is defined and employed to quantify the contributions of different scenarios to the reliability indices. Case studies have confirmed that DJ-PDF can provide detailed information for scenario-based reliability analysis. INDEX TERMSMicrogrid, sequential sampling, reliability assessment, computational efficiency, coefficient of variation NOMENCLATURE Random Variables u random variable sampled for random operation hours v random variable sampled for random repairing hours q random variable defined to model time varying load p random variable defined to model intermittency of PV Indices and Sets f p estimate of fp * (p) on the wp-th subinterval of [0, 1] FR(•) reliability test function in terms of u, v, q and p with uniform PDFs FR ' (•) reliability test function in terms of u, v, q and p with varying PDFs GR(•) reliability test function in terms of the hourly states of MT, PV and load FL[•] Functional in terms of fu(u), fv(v), fq(q) and fp(p) I. INTRODUCTION

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Section: B Quarterly Varying Loadmentioning

confidence: 99%

Section: B Quarterly Varying Loadmentioning

confidence: 99%

Section: A Information Of Test Systemmentioning

confidence: 99%

mentioning

confidence: 99%

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A Novel Sequential Sampling Algorithm for Reliability Assessment of Microgrids

Song

Wang

et al. 2020

IEEE Access

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“…Finally, the stability of the proposed control method was explained, and the conclusion was verified. Wei and Chen discussed the key factors affecting the development of microgrids from the perspective of application and put forward some new suggestions for promoting the development of microgrid projects through the combination of review and promotion research [7]. Yao et al studied the AC/DC hybrid microgrid, taking into account the access requirements of AC/DC power supply and load, and optimized the structure of traditional distribution network [8].…”

Section: Introductionmentioning

confidence: 99%

Deep Learning Optimization of Microgrid Economic Dispatch and Wireless Power Transmission Using Blockchain

Chen

Guo

Zhao

et al. 2022

Wireless Communications and Mobile Computing

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The purpose is to realize the decentralized microgrid economic dispatch, improve the information transparency and security of microgrid systems, and make the power grid move towards a clean, safe, efficient, and reliable development path. Deep learning optimization of microgrid economic dispatch and wireless power transmission based on blockchain technology are studied. First, the related theories and methods of microgrid systems, wireless power transmission, and deep learning optimization based on blockchain technology are introduced. Next, the microgrid economic dispatch is simulated and analyzed on a large scale. Finally, the comparison results between microgrid economic dispatch and common radio energy transmission technologies are analyzed. The results show that daily planning can better coordinate the state of distributed generation, energy storage system, and public connection. The operation results of the previous day correspond to the long-term operation economy of the microgrid. The total operation cost of the microgrid is 4668 yuan/day, and the remaining power is maintained between 500 and 600 kW, which helps to prevent excessive battery discharge, prolong battery life, and reduce operation cost. The simulation results show that the total power imbalance of the microgrid can reduce the output fluctuation of controllable load shedding of distributed generation. When the load characteristics are not important, the output fluctuation of controllable distributed generation can be reduced. The proposed economic dispatch model can optimize the data security, information storage, and information release of the microgrid and has a certain guiding role for the development of the national power grid and power industry.

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