Electric Power ›› 2022, Vol. 55 ›› Issue (1): 64-74.DOI: 10.11930/j.issn.1004-9649.202011068

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Optimal Operation of Multi-Source Power Generation System with Electric Heater and Concentrating Solar Power Plant Considering Conditional Risk Cost

PENG Chunhua, LIU Yi, SUN Huijuan   

  1. School of Electrical & Electronics Engineering, East China Jiaotong University, Nanchang 330013, China
  • Received:2020-11-16 Revised:2021-08-13 Online:2022-01-28 Published:2022-01-20
  • Supported by:
    This work is supported by the National Natural Science Foundation of China (No. 51867008), Jiangxi Provincial Natural Science Foundation (No.20192ACBL20007, No.20202BAB204024) and Science and Technology Project of Education Department of Jiangxi Province (No.GJJ1903013)

Abstract: With the continuous expansion of the wind farm scale connected to the power grid, the uncertainty of wind power output has brought great challenges to the dispatch of power systems. To this end, this paper relied on the good regulation of concentrating solar power (CSP) and the wind power accommodation of the electric heater (EH) to stabilize the volatility of wind power output and used conditional value-at-risk (CVaR) to measure the uncertainty risk of dispatch cost. For the minimal comprehensive cost under multiple scenarios, an optimal operation model of a multi-source power generation system with the EH-CSP plant considering conditional risk cost was constructed. The elite archiving strategy was adopted, and a differential evolution whale optimization algorithm with the elite archive was proposed to solve the model. The results verify the superiority of the proposed model and method, and the impact of different confidence levels on the scheduling results is analyzed.

Key words: wind power, concentrating solar power, electric heater, conditional risk cost, differential evolution whale optimization algorithm