AC power flow based DLMP calculation and decomposition method to smooth power fluctuation of distributed renewable energy sources

被引:5
作者
Jiang, Yibo [1 ]
Yang, Rui [2 ]
Jiang, Haiyan Y. [1 ]
Zhang, Yingchen C. [2 ]
机构
[1] State Grid Suzhou City & Energy Res Inst, Suzhou 215010, Jiangsu, Peoples R China
[2] Natl Renewable Energy Lab, Golden, CO 80401 USA
关键词
load flow; renewable energy sources; power markets; demand side management; power generation scheduling; reactive power; power loss; power fluctuation; ramping flexibility requirements; decomposition method; distributed renewable energy sources; power systems; ancillary services; distribution system operator; AC optimal power flow; power flow constraints; market scheduling model; renewable power variability; power ramping price; DLMP calculation; demand side; two-stage distribution locational marginal price; Lagrange function; sensitivity factors; active power; voltage management; power variability; SYSTEM;
D O I
10.1049/iet-gtd.2020.1240
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
As the penetration of renewable energy sources increases, the growing renewable power variability brings ramping issues to power systems. Meanwhile, the development of distributed energy resources (DERs) makes the distribution systems to provide both energy and ancillary services. To incentivise individual resources and customers to alleviate ramping issues on the demand side, a two-stage distribution locational marginal price (DLMP) calculation and decomposition method is developed to formulate the marginal power ramping price for DERs. In the first stage of the proposed method, a distribution system operator market scheduling model based on AC optimal power flow is designed to estimate the optimal operating point of the distribution system. Subsequently, the voltage and power flow constraints are linearised in stage two to calculate DLMP. Finally, based on the Lagrange function and sensitivity factors, DLMP is decomposed to the marginal costs for active/reactive power, voltage management, power loss and power variability. Case studies demonstrate that the proposed model can effectively smooth the power fluctuation and reduce the ramping flexibility requirements of distribution systems.
引用
收藏
页码:6468 / 6475
页数:8
相关论文
共 27 条
[1]   Review of the methods for evaluation of renewable energy sources penetration and ramping used in the Scenario Outlook and Adequacy Forecast 2015. Case study for Poland [J].
Andrychowicz, Mateusz ;
Olek, Blazej ;
Przybylski, Jakub .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2017, 74 :703-714
[2]  
[Anonymous], 2015, SIAM REV
[3]  
[Anonymous], 2016, BUS REQ SPEC FLEX RA
[4]   Stochastic locational marginal price calculation in distribution systems using game theory and point estimate method [J].
Azad-Farsani, Ehsan ;
Askarian-Abyaneh, Hossein ;
Abedi, Mehrdad ;
Hosseinian, Seyed Hossein .
IET GENERATION TRANSMISSION & DISTRIBUTION, 2015, 9 (14) :1811-1818
[5]   Distribution Locational Marginal Pricing (DLMP) for Congestion Management and Voltage Support [J].
Bai, Linquan ;
Wang, Jianhui ;
Wang, Chengshan ;
Chen, Chen ;
Li, Fangxing .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2018, 33 (04) :4061-4073
[6]  
California ISO, 2016, Managing the evolving grid
[7]   Energy Management for Lifetime Extension of Energy Storage System in Micro-Grid Applications [J].
Duong Tran ;
Khambadkone, Ashwin M. .
IEEE TRANSACTIONS ON SMART GRID, 2013, 4 (03) :1289-1296
[8]   Coupon-Based Demand Response Considering Wind Power Uncertainty: A Strategic Bidding Model for Load Serving Entities [J].
Fang, Xin ;
Hu, Qinran ;
Li, Fangxing ;
Wang, Beibei ;
Li, Yang .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2016, 31 (02) :1025-1037
[9]   Optimal Power Market Participation of Plug-In Electric Vehicles Pooled by Distribution Feeder [J].
Foster, Justin M. ;
Caramanis, Michael C. .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2013, 28 (03) :2065-2076
[10]   Distributed Congestion Management of Distribution Grids Under Robust Flexible Buildings Operations [J].
Hanif, Sarmad ;
Gooi, H. B. ;
Massier, Tobias ;
Hamacher, Thomas ;
Reindl, Thomas .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2017, 32 (06) :4600-4613