Probabilistic Available Delivery Capability Assessment of General Distribution Network with Renewables

被引：0

作者：

Sheng, Hao ^{[1
]}

Wang, Xiaozhe ^{[2
]}

机构：

[1] Cornell Univ, Sch Elect & Comp Engn, Ithaca, NY 14850 USA

[2] McGill Univ, Dept Elect & Comp Engn, Montreal, PQ, Canada

来源：

2017 IEEE ELECTRICAL POWER AND ENERGY CONFERENCE (EPEC) | 2017年

关键词：

Available delivery capability (ADC); continuation method; distribution systems; polynomial chaos expansion; probabilistic continuation power flow (PCPF); STOCHASTIC DIFFERENTIAL-EQUATIONS; POWER-FLOW; LOAD-FLOW; RELIABILITY EVALUATION; POLYNOMIAL CHAOS; SYSTEMS; UNCERTAINTY; EXPANSION; CUMULANTS;

D O I：

暂无

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

Rapid increase of renewable energy sources and electric vehicles in utility distribution feeders introduces more and more uncertainties. To investigate how such uncertainties may affect the available delivery capability (ADC) of the distribution network, it is imperative to employ a probabilistic analysis framework. In this paper, a formulation for probabilistic ADC incorporating renewable generators and load variations is proposed; a computationally efficient method to solve the probabilistic ADC is presented, which combines the up-to-date sparse polynomial chaos expansion (PCE) and the continuation method. A numerical example in the IEEE 13 node test feeder is given to demonstrate the accuracy and efficiency of the proposed method.

引用

页码：47 / 52

页数：6

共 50 条

[21] Optimal Available Transfer Capability Assessment Strategy for Wind Integrated Transmission Systems Considering Uncertainty of Wind Power Probability Distribution [J].

Xie, Jun ;

Wang, Lu ;

Bian, Qiaoyan ;

Zhang, Xiaohua ;

Zeng, Dan ;

Wang, Ke .

ENERGIES, 2016, 9 (09)

[22] A Data-Driven Sparse Polynomial Chaos Expansion Method to Assess Probabilistic Total Transfer Capability for Power Systems With Renewables [J].

Wang, Xiaoting ;

Wang, Xiaozhe ;

Sheng, Hao ;

Lin, Xi .

IEEE TRANSACTIONS ON POWER SYSTEMS, 2021, 36 (03) :2573-2583

[23] Assessment of the congestion cost and the risk of curtailment associated with Available Transfer Capability (ATC) [J].

Cornière, B ;

Martin, L ;

Vitet, S ;

Hadjsaid, N ;

Phadke, AG .

2000 IEEE POWER ENGINEERING SOCIETY WINTER MEETING - VOLS 1-4, CONFERENCE PROCEEDINGS, 2000, :891-896

[24] A general framework for probabilistic sensitivity analysis with respect to distribution parameters [J].

Yang, Jiannan .

PROBABILISTIC ENGINEERING MECHANICS, 2023, 72

[25] A Statistical Risk Assessment Framework for Distribution Network Resilience [J].

Chen, Xi ;

Qiu, Jing ;

Reedman, Luke ;

Dong, Zhao Yang .

IEEE TRANSACTIONS ON POWER SYSTEMS, 2019, 34 (06) :4773-4783

[26] Recovery Strategy of Distribution Network Based on Power Supply Capability Assessment of Local Area Configured with Energy Gateway [J].

Guo, Xiaoxia ;

Guo, Weijia ;

Jiang, Xiang ;

Wang, Wei ;

Zhu, Junpeng .

ENERGIES, 2025, 18 (09)

[27] Risk-based available transfer capability assessment including nondispatchable wind generation [J].

Khosravifard, Mehran ;

Shaaban, Mohamed .

INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS, 2015, 25 (11) :3169-3183

[28] Probabilistic model for resilience assessment of the Belgian road network [J].

Sgambi, L. ;

Jacquin, T. ;

Basso, N. ;

Garavaglia, E. .

BRIDGE MAINTENANCE, SAFETY, MANAGEMENT, LIFE-CYCLE SUSTAINABILITY AND INNOVATIONS, 2021, :2120-2125

[29] Development of a Bayesian network for probabilistic risk assessment of pesticides [J].

Mentzel, Sophie ;

Grung, Merete ;

Tollefsen, Knut Erik ;

Stenrod, Marianne ;

Petersen, Karina ;

Moe, S. Jannicke .

INTEGRATED ENVIRONMENTAL ASSESSMENT AND MANAGEMENT, 2022, 18 (04) :1072-1087

[30] Safety Assessment of Loop Closing in Active Distribution Networks Based on Probabilistic Power Flow [J].

Cai, Wenchao ;

Gao, Yuan ;

Zhang, Xiping ;

Si, Qin ;

Jia, Jiaoxin ;

Li, Bingzhen .

ENERGIES, 2025, 18 (11)

← 1 2 3 4 5 →