An Optimization Model for Large–Scale Wind Power Grid Connection Considering Demand Response and Energy Storage Systems

Zhongfu Tan, Huanhuan Li, Liwei Ju and Yihang Song
Additional contact information
Zhongfu Tan: Institute of Energy Economics and Environment, North China Electric Power University, 2 Beinong Road, Huilongguan Town, Changping District, Beijing 102206, China
Huanhuan Li: Institute of Energy Economics and Environment, North China Electric Power University, 2 Beinong Road, Huilongguan Town, Changping District, Beijing 102206, China
Liwei Ju: Institute of Energy Economics and Environment, North China Electric Power University, 2 Beinong Road, Huilongguan Town, Changping District, Beijing 102206, China
Yihang Song: Electric Power Research Institute, China South Power Grid, Guangzhou 510080, China

Energies, 2014, vol. 7, issue 11, 1-23

Abstract: To reduce the influence of wind power output uncertainty on power system stability, demand response (DRPs) and energy storage systems (ESSs) are introduced while solving scheduling optimization problems. To simulate wind power scenarios, this paper uses Latin Hypercube Sampling (LHS) to generate the initial scenario set and constructs a scenario reduction strategy based on Kantorovich distance. Since DRPs and ESSs can influence the distribution of demand load, this paper constructs a joint scheduling optimization model for wind power, ESSs and DRPs under the objective of minimizing total coal cost, and constraints of power demand and supply balance, users’ demand elasticity, thermal units’ startup-shutdown, thermal units’ output power climbing and wind power backup service. To analyze the influences of ESSs and DRPs on system wind power consumption capacity, example simulation is made in a 10 thermal units system with a 1000 MW wind farm and 400 MW energy storage systems under four simulation scenarios. The simulation results show that the introduction of DRPs and ESSs could promote system wind power consumption capacity with significantly economic and environment benefits, which include less coal consumption and less pollutant emission; and the optimization effect reaches the optimum when DRPs and ESSs are both introduced.

Keywords: wind power consumption; demand response; energy storage systems; Unit combination; scheduling optimization (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2014
References: View complete reference list from CitEc
Citations: View citations in EconPapers (12)

Downloads: (external link)
https://www.mdpi.com/1996-1073/7/11/7282/pdf (application/pdf)
https://www.mdpi.com/1996-1073/7/11/7282/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:7:y:2014:i:11:p:7282-7304:d:42280

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().