基于静态模型的光热储能电站发电量优化策略

doi:10.3969/j.issn.1000-7229.2019.10.013

电力建设 ›› 2019, Vol. 40 ›› Issue (10): 111-117.doi: 10.3969/j.issn.1000-7229.2019.10.013

基于静态模型的光热储能电站发电量优化策略

张中丹1，李锦键2，王兴贵2，赵玲霞2

1.国网甘肃省电力公司经济技术研究院，兰州市 730000；2.兰州理工大学电气工程与信息工程学院，兰州市 730050

出版日期:2019-10-01
作者简介:张中丹（1978），男，硕士，高级工程师，主要研究方向为电力系统规划、能源；李锦键（1995），男，硕士研究生，通信作者，主要研究方向为可再生能源发电系统及其控制；王兴贵（1963），男，教授，博士生导师，主要研究方向为可再生能源发电系统与控制、微电网技术、电力电子与电力传动等；赵玲霞（1981），女，博士研究生，主要研究方向为可再生能源发电系统及其控制。
基金资助:
国家自然科学基金项目（51867016）；国家电网公司科技项目（SGGSJY00PSJS1800139）

Power Generation Optimization Strategy Based on Static Model for Concentrating Solar Power Plant

ZHANG Zhongdan1， LI Jinjian2， WANG Xinggui2， ZHAO Lingxia2

1. State Grid Gansu Electric Power Company Economic Research Institute， Lanzhou 730000， China；2. College of Electrical Engineering and Information Engineering， Lanzhou University of Technology， Lanzhou 730050， China

Online:2019-10-01
Supported by:
This work is supported by National Natural Science Foundation of China （No. 51867016） and State Grid Corporation of China Research Program （No. SGGSJY00PSJS1800139）.

摘要/Abstract

摘要： 目前国内的光热储能电站处于起步阶段，对提高其运行效率或提升发电量的研究多数是从储热介质或储热方式出发，从内部能量流入手的优化方式却鲜有研究。针对以上问题，文章提出了一种基于静态模型的光热储能电站发电量优化策略，以提高其发电量与电站运行效率。首先从光热储能电站的运行机理出发，对各子系统自身及之间的能量流进行合理简化，得到静态能量流数学模型；然后提出一种以光热储能电站发电量最大为目标函数，以上述静态能量流数学模型为约束条件的优化策略，针对控制过程中时滞环节产生的不利影响，利用Smith预估补偿予以克服；最后采用MATLAB对该优化策略进行仿真验证，结果表明该优化策略可以有效提高光热储能电站的发电量与运行效率。

关键词: 光热储能电站, 静态能量流数学模型, 发电量优化策略, 储热子系统, 充放热过程, Smith预估补偿, 运行效率

Abstract: At present， the concentrating solar power （CSP） station is still in the initial stage and the research on the operating efficiency or generating capacity is majorly started from thermal storage medium or thermal storage. Little research has been done to optimize from the energy flow. In view of the above problem， a power generation optimization strategy based on the static model for CSP is established to improve power generation and operating efficiency. Firstly， according to the operating mechanism of the CSP station， the energy flows of subsystems and those among them are simplified reasonably， and the static energy flow mathematical model of CSP is obtained. Then， an optimization strategy， which takes the maximum amount of power generated by the CSP station as the objective function and the mathematical model of static energy flow as the restriction is proposed. The Smith Predictor is adopted to get over the negative effect caused by the time lag link. Finally， the MATLAB is used to verify the correctness of the optimization strategy. The results show that the optimization strategy can effectively improve the power generation and the operating efficiency of the CSP station.

Key words: concentrating solar power station, static energy flow mathematical model, power generation optimization strategy, thermal storage subsystem, charging and discharging process, Smith Predictor, operating efficiency

中图分类号:

张中丹，李锦键，王兴贵，赵玲霞. 基于静态模型的光热储能电站发电量优化策略[J]. 电力建设, 2019, 40(10): 111-117.

ZHANG Zhongdan， LI Jinjian， WANG Xinggui， ZHAO Lingxia. Power Generation Optimization Strategy Based on Static Model for Concentrating Solar Power Plant[J]. Electric Power Construction, 2019, 40(10): 111-117.

参考文献

［1］张悦，申彦波，石广玉. 面向光热发电的太阳能短期预报技术［J］. 电力系统自动化， 2016， 40（19）: 158-167.
ZHANG Yue， SHEN Yanbo， SHI Guangyu. Short-term forecasting technology of solar energy for concentrating solar power［J］. Automation of Electric Power Systems， 2016， 40（19）: 158-167.
［2］MADAENI S H， SIOSHANSI R， DENHOLM P. Estimating the capacity value of concentrating solar power plants with thermal energy storage: A case study of the Southwestern United States［J］. IEEE Transactions on Power Systems， 2012， 27（2）: 1116-1124.
［3］SIOSHANSI R， DENHOLM P. The value of concentrating solar power and thermal energy storage［J］. IEEE Transactions on Sustainable Energy， 2010， 1（3）: 173-183.
［4］陈润泽，孙宏斌，李正烁，等. 含储热光热电站的电网调度模型与并网效益分析［J］. 电力系统自动化， 2014， 38（19）: 1-7.
CHEN Runze， SUN Hongbin， LI Zhengshuo， et al. Grid dispatch model and interconnection benefit analysis of concentrating solar power plants with thermal storage［J］. Automation of Electric Power Systems， 2014， 38（19）: 1-7.
［5］FLUECKIGER S M， IVERSON B D， GARIMELLA S V， et al. System-level simulation of a solar power tower plant with thermocline thermal energy storage［J］. Applied Energy， 2014， 113: 86-96.
［6］乐东. 太阳能热发电蓄热系统建模与控制策略研究［D］. 西安: 西安建筑科技大学， 2016.
YUE Dong. The research of modeling and control strategies on heat storage system of the tower type solar thermal power system［D］. Xi′an: Xi′an University of Architecture and Technology， 2016.
［7］杜尔顺，张宁，康重庆，等. 太阳能光热发电并网运行及优化规划研究综述与展望［J］. 中国电机工程学报， 2016， 36（21）: 5765-5775， 6019.
DU Ershun， ZHANG Ning， KANG Chongqing， et al. Reviews and prospects of the operation and planning optimization for grid integrated concentrating solar power［J］. Proceedings of the CSEE， 2016， 36（21）: 5765-5775， 6019.
［8］PRICE H， LU PFERT E， KEARNEY D， et al. Advances in parabolic trough solar power technology［J］. Journal of Solar Energy Engineering， 2002， 124（2）: 109.
［9］MEDRANO M， GIL A， MARTORELL I， et al. State of the art on high-temperature thermal energy storage for power generation. Part 2: Case studies［J］. Renewable and Sustainable Energy Reviews， 2010， 14（1）: 56-72.
［10］ABUTAYEH M， ALAZZAM A， EL-KHASAWNEH B. Optimizing thermal energy storage operation［J］. Solar Energy， 2015， 120: 318-329.
［11］蒸汽热量计算方法: GB/T 34060—2017［S］. 北京: 中国标准出版社， 2017.
［12］李国营. 1 MW塔式太阳能发电系统的建模及控制策略的研究［D］. 北京: 华北电力大学， 2012.
LI Guoying. The research of modeling and control strategies on1MW solar tower plant［D］. Beijing: North China Electric Power University， 2012.
［13］BERTSIMAS D， LITVINOV E， SUN X A， et al. Adaptive robust optimization for the security constrained unit commitment problem［J］. IEEE Transactions on Power Systems， 2013， 28（1）: 52-63.
［14］刘文定，王东林. MATLAB/Simulink与过程控制系统［M］. 北京: 机械工业出版社， 2013.
［15］中国光热发电权威媒体商务平台［EB/OL］. （2016-11-09）［2019-01-20］. http://www.cspplaza.com/article-8363-1.html.
［16］国家气象信息中心［EB/OL］. （2010-07-01）［2019-01-20］. http://data.cma.cn./
［17］Siemens Air-Cooled Generators SGen-100A-2P Series［EB/OL］. ［2019-01-20］. https://assets.new.siemens.com/siemens/assets/public.1550139862.beeeb0bc28c700bbc4559266301a68292c3617fc.siemens-air-cooled-generators-sgen-100a-2p-brochure-en.pdf.
［18］Siemens Steam Turbine SST-300［EB/OL］. ［2019-01-20］. https://assets.new.siemens.com/ siemens/assets/public.1530871170.79682b366c8732c55d1ca2e8c9992ef08a2df11d.sst-300-interactiveprase.pdf.
［19］The European Academies Science Advisory Council. Concentrating solar power: Its potential contribution to a sustainable energy future［R/OL］. 2011. http://www.easac.eu/fileadmin/Reports/Easac_CSP_Web-Final.pdf.

基于静态模型的光热储能电站发电量优化策略

Power Generation Optimization Strategy Based on Static Model for Concentrating Solar Power Plant

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 1

编辑推荐

Metrics

本文评价