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Energies 2014, 7(11), 7282-7304; doi:10.3390/en7117282

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

1,†
,
1,†,* , 1,†
and
2,†
1
Institute of Energy Economics and Environment, North China Electric Power University, 2 Beinong Road, Huilongguan Town, Changping District, Beijing 102206, China
2
Electric Power Research Institute, China South Power Grid, Guangzhou 510080, China
These authors contributed equally to this work.
*
Author to whom correspondence should be addressed.
Received: 29 August 2014 / Revised: 5 October 2014 / Accepted: 28 October 2014 / Published: 13 November 2014
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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. View Full-Text
Keywords: wind power consumption; demand response; energy storage systems; Unit combination; scheduling optimization wind power consumption; demand response; energy storage systems; Unit combination; scheduling optimization
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Tan, Z.; Li, H.; Ju, L.; Song, Y. An Optimization Model for Large–Scale Wind Power Grid Connection Considering Demand Response and Energy Storage Systems. Energies 2014, 7, 7282-7304.

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