Open AccessSafety constraints and optimal operation of large‐scale nuclear power plant participating in peak load regulation of power system
Author(s) -
Wang Jun,
Zhao Jie,
Ye Xiaoli,
Liu Dichen,
Weng Yixuan,
Wang Li,
Wang Haoyu
Publication year - 2017
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2017.0091
Subject(s) - nuclear power , base load power plant , nuclear power plant , power (physics) , computer science , electric power system , scheduling (production processes) , load following power plant , reliability engineering , mathematical optimization , scale (ratio) , control theory (sociology) , engineering , mathematics , control (management) , physics , quantum mechanics , artificial intelligence , nuclear physics , ecology , biology
Comprehensively considering the operation cost and safety constraints of nuclear power, an optimal operation scheme of large‐scale nuclear power plant participating in peak load regulation of power system is proposed. After quantitatively analysing the peak load regulation cost of nuclear power, the optimal objective is set to minimise the total operation cost including the fuel cost, the start–stop cost, and the peak load regulation cost. On the basis of the normal constraints of power scheduling, safety constraints of the nuclear power unit's daily output performance and power characteristic constraints of the pumped storage unit are considered. The mixed integer programming method is used to achieve the solution of the optimal operation scheme. Simulation results from a regional power system show that the proposed optimal operation scheme can effectively reflect the real characteristic of nuclear power and apply to power dispatching analysis under the background of the large‐scale access of nuclear power. In comparison to other two typical schemes of peak load regulation, the proposed optimal operation scheme of peak load regulation is more economic and efficient.