Frontiers in Energy Research (Jan 2024)

Optimal scheduling of the CSP–PV–wind hybrid power generation system considering demand response

  • Qingsong Zhao,
  • Qingsong Zhao,
  • Beijia Yang,
  • Hui Ma,
  • Gang Liu,
  • Jianyuan Xu

DOI
https://doi.org/10.3389/fenrg.2023.1252311
Journal volume & issue
Vol. 11

Abstract

Read online

In order to solve the problem of there being a high proportion of wind and photovoltaic (PV) abandonment in the new energy system, an optimal dispatching method of concentrated solar power (CSP)–PV–wind hybrid power generation considering demand response is proposed. First, on the basis of the combination of wind and PV power stations and CSP stations, electric heating (EH) devices are used to convert unconsumed wind and PV power into thermal energy stored in the thermal storage system of the CSP station. Second, based on the difference in response time and response volume of customers, a stepped incentive-based demand response (IBDR) approach is introduced. Thus, a CSP–PV–wind power optimal dispatch model taking into account IBDR is established to achieve coordinated source-load dispatch. Finally, the CPLEX solver is invoked to optimize day-ahead scheduling with the goal of the lowest system comprehensive cost. Example analysis is used to confirm the proposed method’s usefulness in enhancing the system’s wind and PV power consumption capacity and reducing the system’s comprehensive cost.

Keywords