Descriptive statistical approach for the assessment of the output of a virtual power plant in a secondary distribution network

被引:4
作者
Palanichamy, Ponraj [1 ]
Samuel, Arul Daniel [1 ]
Murali, Venkatakirthiga [1 ]
机构
[1] Natl Inst Technol, Dept Elect & Elect Engn, Tiruchirappalli, Tamil Nadu, India
关键词
distributed power generation; statistical analysis; neural nets; power engineering computing; smart power grids; load forecasting; pattern clustering; power plants; distribution networks; specified time-intervals; historical load; generator data; grouped data; VPP output; available Pecan street data; descriptive statistical approach; virtual power plant; secondary distribution network; domestic consumers; recent legislative emphasis; net-zero energy operation; system operator; power output; load profiling; descriptive statistical parameters; load data; historical customer data; BIDDING STRATEGY; ENERGY; CLASSIFICATION; MANAGEMENT; DISPATCH; DEMAND;
D O I
10.1049/iet-gtd.2019.1658
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
Virtual power plants (VPPs) of secondary distribution network have come into existence due to the installation of generators in the premises of domestic consumers and the recent legislative emphasis on net-zero energy operation. A predetermined operation of VPP as required by a system operator is possible only when its power output is assessed beforehand. A simple approach for assessment based on load profiling using descriptive statistical parameters such as z-scores of the load data is proposed in this study. The proposed method collates historical customer data according to seasons, days of the week and specified time-intervals of the day. Then, z-scores are computed for each of the historical load and generator data. The calculated z-scores are subsequently grouped into specified clusters. The grouped data in each of the clusters are then employed to predict the VPP output. Demonstration of the assessment of VPP output using available Pecan street data is presented to validate the proposed approach.
引用
收藏
页码:2191 / 2201
页数:11
相关论文
共 25 条
[1]   k-means based load estimation of domestic smart meter measurements [J].
Al-Wakeel, Ali ;
Wu, Jianzhong ;
Jenkins, Nick .
APPLIED ENERGY, 2017, 194 :333-342
[2]   Stochastic optimisation with risk aversion for virtual power plant operations: a rolling horizon control [J].
Castillo, Anya ;
Flicker, Jack ;
Hansen, Clifford W. ;
Watson, Jean-Paul ;
Johnson, Jay .
IET GENERATION TRANSMISSION & DISTRIBUTION, 2019, 13 (11) :2063-2076
[3]   Load pattern-based classification of electricity customers [J].
Chicco, G ;
Napoli, R ;
Piglione, F ;
Postolache, P ;
Scutariu, M ;
Toader, C .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2004, 19 (02) :1232-1239
[4]   Overview and performance assessment of the clustering methods for electrical load pattern grouping [J].
Chicco, Gianfranco .
ENERGY, 2012, 42 (01) :68-80
[5]   Determining the load profiles of consumers based on fuzzy logic and probability neural networks [J].
Gerbec, D ;
Gasperic, S ;
Smon, I ;
Gubina, F .
IEE PROCEEDINGS-GENERATION TRANSMISSION AND DISTRIBUTION, 2004, 151 (03) :395-400
[6]   A Multi-Agent System Architecture for Smart Grid Management and Forecasting of Energy Demand in Virtual Power Plants [J].
Hernandez, Luis ;
Baladron, Carlos ;
Aguiar, Javier M. ;
Carro, Belen ;
Sanchez-Esguevillas, Antonio ;
Lloret, Jaime ;
Chinarro, David ;
Gomez-Sanz, Jorge J. ;
Cook, Diane .
IEEE COMMUNICATIONS MAGAZINE, 2013, 51 (01) :106-113
[7]   An evidential analysis of Altman Z-score for financial predictions: Case study on solar energy companies [J].
Ko, Yu-Chien ;
Fujita, Hamido ;
Li, Tianrui .
APPLIED SOFT COMPUTING, 2017, 52 :748-759
[8]   A Robust Distributed Economic Dispatch Strategy of Virtual Power Plant Under Cyber-Attacks [J].
Li, Peikai ;
Liu, Yun ;
Xin, Huanhai ;
Jiang, Xichen .
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2018, 14 (10) :4343-4352
[9]   Bidding Strategy of Virtual Power Plant for Participating in Energy and Spinning Reserve Markets-Part II: Numerical Analysis [J].
Mashhour, Elaheh ;
Moghaddas-Tafreshi, Seyed Masoud .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2011, 26 (02) :957-964
[10]   Bidding Strategy of Virtual Power Plant for Participating in Energy and Spinning Reserve Markets-Part I: Problem Formulation [J].
Mashhour, Elaheh ;
Moghaddas-Tafreshi, Seyed Masoud .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2011, 26 (02) :949-956