Design of a model predictive control method for load tracking in nuclear power plants

被引：46
作者：
Wang, Guoxu [1 ,2 ]
Wu, Jie [1 ,2 ]
Zeng, Bifan [1 ,2 ]
Xu, Zhibin [3 ]
Wu, Wanqiang [1 ,2 ]
Ma, Xiaoqian [1 ,2 ]
机构：
[1] South China Univ Technol, Sch Elect Power, 381 Wu Shan Rd, Guangzhou 510640, Guangdong, Peoples R China
[2] Guangdong Prov Key Lab Efficient & Clean Energy U, 381 Wu Shan Rd, Guangzhou 510640, Guangdong, Peoples R China
[3] Guangdong Power Grid Corp, Elect Power Res Inst, 8 Dong Feng Dong Rd, Guangzhou 510080, Guangdong, Peoples R China
来源：
PROGRESS IN NUCLEAR ENERGY | 2017年 / 101卷
基金：
中国国家自然科学基金;
关键词：
Model predictive control; Pressurized water reactors; Load tracking; Quadratic programming; FEEDBACK CONTROL DESIGN; BOILER-TURBINE UNIT; LMI APPROACH; NONLINEAR-SYSTEMS; BORON ADJUSTMENT; FUZZY; OPTIMIZATION; STABILITY; REACTORS; CONSTRAINTS;
D O I：
10.1016/j.pnucene.2017.08.012
中图分类号：
TL [原子能技术]; O571 [原子核物理学];
学科分类号：
0827 ; 082701 ;
摘要：
Load tracking in pressurized water reactor (PWR) nuclear power plants has nowadays attracted comprehensive attention for the security concerns. In this paper, a novel state space model of the reactor core with multiple groups of delayed neutrons considered is developed, and a model predictive control (MPC) method is proposed for load tracking. In addition, Quadratic programming (QP) is introduced for system optimizing, and the stability analysis of the control system is also discussed. Compared with the currently used Proportional-Integral-Derivative (PID) control method, the effectiveness of the proposed QP-based MPC (QPMPC) method for load tracking is verified by numerical simulations. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码：260 / 269
页数：10
相关论文
共 31 条
[1]   RULE-BASED FUZZY-LOGIC CONTROLLER FOR A PWR-TYPE NUCLEAR-POWER-PLANT [J].
AKIN, HL ;
ALTIN, V .
IEEE TRANSACTIONS ON NUCLEAR SCIENCE, 1991, 38 (02) :883-890
[2]   An adaptive-cost-function optimal controller design for a PWR nuclear reactor [J].
Arab-Alibeik, H ;
Setayeshi, S .
ANNALS OF NUCLEAR ENERGY, 2003, 30 (06) :739-754
[3]   H∞ fuzzy state-feedback control design for nonlinear systems with D-stability constraints:: An LMI approach [J].
Assawinchaichote, Wudhichai ;
Nguang, Sing Kiong ;
Shi, Peng ;
Boukas, El-Kebir .
MATHEMATICS AND COMPUTERS IN SIMULATION, 2008, 78 (04) :514-531
[4]   Fuzzy H∞ output feedback control design for singularly perturbed systems with pole placement constraints:: An LMI approach [J].
Assawinchaichote, Wudhichai ;
Nguang, Sing Kiong .
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2006, 14 (03) :361-371
[5]   LQG LTR ROBUST-CONTROL OF NUCLEAR-REACTORS WITH IMPROVED TEMPERATURE PERFORMANCE [J].
BENABDENNOUR, A ;
EDWARDS, RM ;
LEE, KY .
IEEE TRANSACTIONS ON NUCLEAR SCIENCE, 1992, 39 (06) :2286-2294
[6]   STATE FEEDBACK ASSISTED CLASSICAL CONTROL - AN INCREMENTAL APPROACH TO CONTROL MODERNIZATION OF EXISTING AND FUTURE NUCLEAR-REACTORS AND POWER-PLANTS [J].
EDWARDS, RM ;
LEE, KY ;
SCHULTZ, MA .
NUCLEAR TECHNOLOGY, 1990, 92 (02) :167-185
[7]   ROBUST OPTIMAL-CONTROL OF NUCLEAR-REACTORS AND POWER-PLANTS [J].
EDWARDS, RM ;
LEE, KY ;
RAY, A .
NUCLEAR TECHNOLOGY, 1992, 98 (02) :137-148
[8]   Vertical stabilization of ITER plasma using explicit model predictive control [J].
Gerksic, Samo ;
de Tommasi, Gianmaria .
FUSION ENGINEERING AND DESIGN, 2013, 88 (6-8) :1082-1086
[9]   Design of a fault tolerated intelligent control system for load following operation in a nuclear power plant [J].
Hatami, Ehsan. ;
Vosoughi, Nasser ;
Salarieh, Hassan .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2016, 78 :864-872
[10]   A neural network controller for load following operation of nuclear reactors [J].
Khajavi, MN ;
Menhaj, MB ;
Suratgar, AA .
ANNALS OF NUCLEAR ENERGY, 2002, 29 (06) :751-760
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