2022
DOI: 10.1109/tste.2022.3197175
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DLMP-Based Quantification and Analysis Method of Operational Flexibility in Flexible Distribution Networks

Abstract: With high penetration of flexible resources, operational flexibility of flexible distribution networks (FDNs) is important to ensure high-quality electricity services. This paper proposes a value quantification and analysis method for operational flexibility in FDNs based on distribution locational marginal pricing (DLMP). First, flexibility constraints are formulated from the perspective of node integration, branch transfer, and network aggregation of flexibility. Then, a unified analytical framework for quan… Show more

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Cited by 15 publications
(5 citation statements)
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References 45 publications
(51 reference statements)
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“…where P trs EV,j,i (t) and P dis EV,j,i (t) are the active power of the ith EV in the jth EV parking lot being shifted and discharged (Jian et al, 2022) at time t, respectively. P tot EV,j (t) is the total charging power of EVs in EV parking lot j at time t.…”
Section: Flexible Resources Participation Indexesmentioning
confidence: 99%
“…where P trs EV,j,i (t) and P dis EV,j,i (t) are the active power of the ith EV in the jth EV parking lot being shifted and discharged (Jian et al, 2022) at time t, respectively. P tot EV,j (t) is the total charging power of EVs in EV parking lot j at time t.…”
Section: Flexible Resources Participation Indexesmentioning
confidence: 99%
“…DDNs is the digitalized appearance of the physical distribution network, in which ubiquitous connections and massive data are the basic characteristics (Huo et al, 2022). It is an important task to utilize the massive data and propose novel operation modes to construct more efficient and intelligent distribution networks (Jian et al, 2022). Among the advanced digital technologies in DDNs, edge computing has received wide attention (Zhao et al, 2022).…”
Section: Introductionmentioning
confidence: 99%
“…Integration and quantification for the regulation capacity of flexible resources are regarded as effective means to take advantage of the flexibility of smart-building systems [4,[14][15][16][17][18]. Several important investigations have been reported on the virtual battery model [14], virtual synchronous machine model [15], flexible supply-and-demand balance model [16], and node power model [17] for the aggregation of flexible resources. A generic and scalable approach considering zonotopic sets for flexible energy systems was studied in [18] to describe their flexibility quantitatively.…”
Section: Introduction 1relevant Backgroundmentioning
confidence: 99%
“…The authors studied a virtual power plant aggregation and operation mechanism to effectively guarantee the stability of the aggregation results [14]. An adaptive and robust optimization algorithm was adopted to accurately quantify the maximum power support range of the heat grid to the power grid [17]. After the aggregation of the flexible resources, the coordination and optimization of the distribution network with cluster division based on the flexible resources in the smart-building system can be achieved.…”
Section: Introduction 1relevant Backgroundmentioning
confidence: 99%