Evaluation of Distributed Photovoltaic Economic Access Capacity in Distribution Networks Considering Proper Photovoltaic Power Curtailment

被引:1
作者
Hao, Wenbo [1 ]
Xiao, Weisong [2 ]
Yan, Qingyu [3 ]
Jia, Qingquan [2 ]
Hu, Benran [3 ]
Li, Pan [2 ]
机构
[1] State Grid Heilongjiang Elect Power Res Inst, Harbin 150030, Heilongjiang, Peoples R China
[2] Yanshan Univ, Sch Elect Engn, Key Lab Power Elect Energy Conservat & Drive Contr, Qinhuangdao 066004, Peoples R China
[3] State Grid Heilongjiang Elect Power Co Ltd, Harbin 150000, Peoples R China
关键词
distributed photovoltaic; economic access capacity; power curtailment; improved K-means clustering algorithm; opportunity constraints; second-order cone relaxation; ACTIVE DISTRIBUTION NETWORKS; HOSTING CAPACITY; ENERGY; FLEXIBILITY; SYSTEMS; OPTIMIZATION; OPERATION;
D O I
10.3390/en17174441
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
The high proportion of distributed photovoltaic (DPV) access has changed the traditional distribution network structure and operation mode, posing a huge threat to the stable operation and economy of the distribution network. Aiming at a reasonable access capacity of DPV in the distribution network, this paper proposes an economic access capacity evaluation method for DPV in the distribution network considering proper PV power curtailment. Firstly, a method for generating typical joint light intensity and load power operation scenarios based on an improved K-means clustering algorithm is proposed, which provides comprehensive scenario support for the evaluation. Secondly, based on active and reactive power regulation, this paper proposes a DPV access capacity enhancement method to improve the DPV access capacity. Thirdly, considering proper PV power curtailment, an evaluation model of DPV economic access capacity in the distribution network is established to solve the maximum DPV economic access capacity in the distribution network. And aiming at the nonlinear problem in the model, the second-order cone relaxation method is employed to transform the model into the second-order cone programming model, so as to solve the objective function conveniently and efficiently. Finally, based on the improved IEEE 33-node distribution network analysis, the results show that the proposed method can be more comprehensive and effective in evaluating the DPV economic access capacity in the distribution network, and proper PV power curtailment can significantly increase the DPV economic access capacity in the distribution network.
引用
收藏
页数:23
相关论文
共 33 条
[1]   Photovoltaic Hosting Capacity Sensitivity to Active Distribution Network Management [J].
Abad, Mohammad Seydali Seyf ;
Ma, Jin .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2021, 36 (01) :107-117
[2]   Distributionally Robust Distributed Generation Hosting Capacity Assessment in Distribution Systems [J].
Abad, Mohammad Seydali Seyf ;
Ma, Jin ;
Ahmadyar, Ahmad Shabir ;
Marzooghi, Hesamoddin .
ENERGIES, 2018, 11 (11)
[3]   Probabilistic Assessment of Hosting Capacity in Radial Distribution Systems [J].
Abad, Mohammad Seydali Seyf ;
Ma, Jin ;
Mang, Diwei ;
Ahmadyar, Ahmad Shabir ;
Marzooghi, Hesamoddin .
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2018, 9 (04) :1935-1947
[4]   Data-driven next-generation smart grid towards sustainable energy evolution: techniques and technology review [J].
Ahsan, Faiaz ;
Dana, Nazia Hasan ;
Sarker, Subrata K. ;
Li, Li ;
Muyeen, S. M. ;
Ali, Md. Firoj ;
Tasneem, Zinat ;
Hasan, Md. Mehedi ;
Abhi, Sarafat Hussain ;
Islam, Md. Robiul ;
Ahamed, Md. Hafiz ;
Islam, Md. Manirul ;
Das, Sajal K. ;
Badal, Md. Faisal R. ;
Das, Prangon .
PROTECTION AND CONTROL OF MODERN POWER SYSTEMS, 2023, 8 (01)
[5]   Reinforcement Learning-Based Distributed BESS Management for Mitigating Overvoltage Issues in Systems With High PV Penetration [J].
Al-Saffar, Mohammed ;
Musilek, Petr .
IEEE TRANSACTIONS ON SMART GRID, 2020, 11 (04) :2980-2994
[6]   Distributed energy storage planning in soft open point based active distribution networks incorporating network reconfiguration and DG reactive power capability [J].
Bai, Linquan ;
Jiang, Tao ;
Li, Fangxing ;
Chen, Houhe ;
Li, Xue .
APPLIED ENERGY, 2018, 210 :1082-1091
[7]   Optimal sizing strategy for energy storage system considering correlated forecast uncertainties of dispatchable resources [J].
Cao, Minjian ;
Xu, Qingshan ;
Cai, Jilin ;
Yang, Bin .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2019, 108 (336-346) :336-346
[8]   Simultaneous capacity configuration and scheduling optimization of an integrated electrical vehicle charging station with photovoltaic and battery energy storage system [J].
Dong, Xiao-Jian ;
Shen, Jia-Ni ;
Liu, Cheng-Wu ;
Ma, Zi-Feng ;
He, Yi-Jun .
ENERGY, 2024, 289
[9]   Impacts of Photovoltaics in Low-Voltage Distribution Networks: A Case Study in Malta [J].
Gabdullin, Yesbol ;
Azzopardi, Brian .
ENERGIES, 2022, 15 (18)
[10]  
[郝文斌 Hao Wenbin], 2023, [电力系统保护与控制, Power System Protection and Control], V51, P23