Published October 9, 2017 | Version v1
Conference paper Open

Mitigation of active and reactive demand response mismatches through reactive power control considering static load modeling in distribution grids

Creators

  • 1. Dept. Electrical and Computer Eng., Isfahan Univ. of Technology, Isfahan, Iran
  • 2. C-MAST, University of Beira Interior, Covilhã 6201-001, Portuga
  • 3. BISITE Research Group, the Department of Computer Science and Automation, University of Salamanca, Salamanca, Spain
  • 4. INESC TEC and the Faculty of Engineering of the University of Porto, Porto 4200-465, Portugal; C-MAST, University of Beira Interior, Covilhã 6201-001, Portugal; INESC-ID, Instituto Superior Técnico, University of Lisbon, Lisbon 1049- 001, Portugal

Description

Demand response is known as one of the basic components of smart grids that plays an important role in shaping load curves. In most of the prior reports on applying demand response programs, reactive power and load dependency to voltage magnitude have been ignored in distribution grids. In this paper, firstly, we show that the ignorance of the mentioned phenomena can cause a mismatch between the expected value of demand response and the experimental value. This mismatch is known as the demand response mismatch (DRM), which is dependent on some parameters such as load type, load reduction percentage, and network power factor. To overcome this problem, this paper presents a reactive power control model. In addition, a mixed integer nonlinear program is proposed to find the optimal size and location of STATCOMs and the optimal transformer tap settings that minimize the DRM. In this paper, the 16-bus U.K. generic distribution system (UKGDS) is employed to prove the capability of the presented method in DRM reduction.

Notes

The work of J.P.S. Catalão was supported by FEDER funds through COMPETE 2020 and by Portuguese funds through FCT, under Projects SAICT-PAC/0004/2015 - POCI-01-0145-FEDER-016434, POCI-01-0145- FEDER-006961, UID/EEA/50014/2013, UID/CEC/50021/2013, and UID/EMS/00151/2013. Also, the research leading to these results has received funding from the EU Seventh Framework Programme FP7/2007- 2013 under grant agreement no. 309048. A.S. Gazafroudi acknowledges the support by the European Commission H2020 MSCA-RISE-2014: Marie Sklodowska-Curie project DREAM-GO Enabling Demand Response for short and real-time Efficient And Market Based Smart Grid Operation - An intelligent and real-time simulation approach ref. 641794.

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Additional details

Funding

UID/EMS/00151/2013 – Centre for Mechanical and Aerospace Science and Technologies 147350
Fundação para a Ciência e Tecnologia
UID/EEA/50014/2013 – INESC TEC - INESC Technology and Science 147326
Fundação para a Ciência e Tecnologia
UID/CEC/50021/2013 – Instituto de Engenharia de Sistemas e Computadores, Investigação e Desenvolvimento em Lisboa 147282
Fundação para a Ciência e Tecnologia
DREAM-GO – Enabling Demand Response for short and real-time Efficient And Market Based smart Grid Operation - An intelligent and real-time simulation approach 641794
European Commission
SINGULAR – Smart and Sustainable Insular Electricity Grids Under Large-Scale Renewable Integration 309048
European Commission