Electric Power ›› 2019, Vol. 52 ›› Issue (4): 51-58.DOI: 10.11930/j.issn.1004-9649.201711223

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Optimal Dispatch Model of Grid-Connected Power Base Considering Photovoltaic Power and Concentrating Solar Power

MIAO Miao1, LIU Sai2, SHI Tao3, GUO Yasen2, ZHANG Yiqing2, LI Junxian1   

  1. 1. State Grid Qinghai Electric Power Company Economic Research Institute, Xining 810008, China;
    2. School of Electrical Engineering, Southeast University, Nanjing 210096, China;
    3. China Electric Power Research Institute, Nanjing 210003, China
  • Received:2018-02-04 Revised:2018-11-21 Online:2019-04-05 Published:2019-04-16
  • Supported by:
    This work is supported by Science and Technology Project of State Grid Corporation of China (No.SGQHJY00GHJS1700078).

Abstract: The construction of solar energy bases is developing from unitary photovoltaic power generation to multi-solar-energy utilization of photovoltaic power and concentrating solar power. By using the large capacity of thermal storage device of the concentrating solar power station and the fast climbing speed of steam turbine units, the grid-connected united power base of photovoltaic power and concentrating solar power will improve significantly in terms of the control and dispatch capability. Based on the operation mechanism, a two-stage optimal dispatch model of photovoltaic and concentrating solar power is established based on improved particle swarm optimization algorithm. The objective of the first stage optimization is to reduce the peak-valley difference of the equivalent load and improve the load curve, and the second stage optimization objective is to minimize the total cost of power generation. The model satisfies the main operation constraints of the photovoltaic power and concentrating solar power stations and the traditional security constraints of unit commitment, which is suitable for grid-connected dispatch operation of the united power base. In the premise of full acceptance of solar power, a ten-machine example system is simulated, and the benefits of the power base are analyzed in terms of the peak-valley difference reduction, the renewable energy consumption and the total cost of power generation. The sensitivity analysis indicates that it is economically significant in planning and construction of the power base to select the appropriate capacity of the steam turbine and the thermal storage device.

Key words: photovoltaic power, concentrating solar power, improved particle swarm, peak-valley difference, unit commitment, sensitivity analysis

CLC Number: