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Operation optimization strategy for wind-concentrated solar power hybrid power generation system

  • Yong Yang
  • , Su Guo*
  • , Deyou Liu
  • , Rong Li
  • , Yinghao Chu
  • *Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

This paper presents a new hybrid system to reduce wind curtailment and improve scheduling flexibility. This hybrid system includes a wind farm, a concentrated solar power plant with thermal energy storage, and an electric heater. The major role of the electric heater is to convert the redundant wind power into thermal energy, and the thermal energy is stored in the thermal energy storage of the concentrated solar power plant. The optimal scheduling of this hybrid system is formulated as a mixed-integer linear programming problem to maximize the profit subjected to technical constraints. The effects of the electric heater on the system are studied under different weather conditions. The test results show that the electric heater is helpful for reduction of the both deviation from generation plan and wind curtailment. The maximum relative deviation falls from 5.15% to 0% during the clear sky day, and 47.49% to 31.74% during the partial cloudy day. The wind curtailment rate decreases by 52.59% and 100% for clear and partial cloudy days, respectively. An annual simulation for the system shows that the overall daily cumulative deviations of the new system are significantly decreased, and the wind curtailment can be reduced by greater than 90% for 151 days, validating the effectiveness of the proposed system. © 2018 Elsevier Ltd
Original languageEnglish
Pages (from-to)243-250
JournalEnergy Conversion and Management
Volume160
DOIs
Publication statusPublished - 15 Mar 2018
Externally publishedYes

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

Funding

This work was supported by the National Natural Science Foundation of China (Grant No. 51507053), Jiangsu Planned Projects for Postdoctoral Research Funds (Grant No. 1501004A), and Foundation of Nanjing Institute of Technology of China (Grant No. QKJA201504).

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Research Keywords

  • Concentrated solar power
  • Electric heater
  • Mixed-integer linear programming
  • Thermal energy storage
  • Wind farm

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