A feedforward-feedback hybrid control strategy towards ordered utilization of concentrating solar energy

Abstract In this work, a feedforward-feedback hybrid control strategy was proposed for concentrating solar thermal technology. Inside, the feedforward unit was designed to counteract the measured disturbance (mainly originated from the changeable weather), and the feedback unit employing proportional-integral controller to counteract some unmeasured and non-linear disturbances, e.g. local cloud cover, local defocus and mirror damage. For disturbance-rejecting and setpoint-tracking regulating issues, the hybrid strategy is superior to the single control mode in improving responsiveness, reducing steady-state error, as well as weakening overshoot. A feedforward-relaxed hybrid scheme allows enough tolerance for feedforward implementation and simultaneously helps determine the optimal regulation. For a closed power plant, the regulated operation contributes to additional 0.5%–1% daily efficiency in four typical meteorological days. Above all, the high-performance control strategy in energy-supply side lays the foundation for scheduling and dispatching the available energy and leaves enough room for the global energy management and market balance. It is suggested to incorporate feedforward information to enhance regulation performance, meet multi-grade energy demands, as well as turn the feedback-dominated regulation tide.

[1]  Lu Li,et al.  Flexible and efficient feedforward control of concentrating solar collectors , 2020 .

[2]  Richard M. Murray,et al.  Feedback Systems An Introduction for Scientists and Engineers , 2007 .

[3]  Manuel Berenguel,et al.  Control of thermal solar energy plants , 2014 .

[4]  David M. Bierman,et al.  Concentrating Solar Power. , 2015, Chemical reviews.

[5]  Ian K. Craig,et al.  Economic assessment of advanced process control – A survey and framework , 2008 .

[6]  Yogesh V. Hote,et al.  Fractional order PID controller for load frequency control , 2014 .

[7]  A. Alsharkawi Automatic Control of a Parabolic Trough Solar Thermal Power Plant , 2017 .

[8]  Rahman Saidur,et al.  A comprehensive review of state-of-the-art concentrating solar power (CSP) technologies: Current status and research trends , 2018, Renewable and Sustainable Energy Reviews.

[9]  Pedro Ollero,et al.  Optimum Control of Parabolic Trough Solar Fields with Partial Radiation , 2017 .

[10]  D. Yogi Goswami,et al.  Generalized distributed state space model of a CSP plant for simulation and control applications: Single-phase flow validation , 2020, Renewable Energy.

[11]  Manuel Berenguel,et al.  Control of Solar Energy Systems , 2012 .

[12]  Rui Wang,et al.  Twin-cocoon-derived self-standing nitrogen-oxygen-rich monolithic carbon material as the cost-effective electrode for redox flow batteries , 2019, Journal of Power Sources.

[13]  Eduardo F. Camacho,et al.  Adaptative state-space model predictive control of a parabolic-trough field , 2012 .

[14]  Kankar Bhattacharya,et al.  Optimal planning and design of a renewable energy based supply system for microgrids , 2012 .

[15]  Massimiliano Esposito,et al.  Efficiency at maximum power of low-dissipation Carnot engines. , 2010, Physical review letters.

[16]  Nesrin Ozalp,et al.  Aperture size adjustment using model based adaptive control strategy to regulate temperature in a solar receiver , 2018 .

[17]  Frede Blaabjerg,et al.  Power electronics - Key technology for renewable energy systems - Status and future , 2013, 2013 3rd International Conference on Electric Power and Energy Conversion Systems.

[18]  S. Daley,et al.  Optimal-Tuning PID Control for Industrial Systems , 2000 .

[19]  Jörg Petrasch,et al.  Dynamics and control of solar thermochemical reactors , 2009 .

[20]  Matteo Chiesa,et al.  Comparative net energy analysis of renewable electricity and carbon capture and storage , 2019, Nature Energy.

[21]  Daniel M. Kammen,et al.  Decentralized energy systems for clean electricity access , 2015 .

[22]  Manuel Berenguel,et al.  Feedback linearization control for a distributed solar collector field , 2005 .

[23]  Billie F. Spencer,et al.  Model-Based Feedforward-Feedback Actuator Control for Real-Time Hybrid Simulation , 2013 .

[24]  Jean-Jacques Bezian,et al.  Control systems for direct steam generation in linear concentrating solar power plants – A review , 2016 .

[25]  Xianda Sun,et al.  Understanding mass and charge transports to create anion-ionomer-free high-performance alkaline direct formate fuel cells , 2019, International Journal of Hydrogen Energy.

[26]  M. Valdés,et al.  Solar multiple optimization for a solar-only thermal power plant, using oil as heat transfer fluid in the parabolic trough collectors , 2009 .

[27]  Ning Zhang,et al.  Economic justification of concentrating solar power in high renewable energy penetrated power systems , 2018, Applied Energy.

[28]  Matthew R. Shaner,et al.  Net-zero emissions energy systems , 2018, Science.

[29]  Yinshi Li,et al.  Transient model and characteristics of parabolic-trough solar collectors: Molten salt vs. synthetic oil , 2019, Solar Energy.

[30]  Nesrin Ozalp,et al.  Development of a control model to regulate temperature in a solar receiver , 2017 .

[31]  Ya-Ling He,et al.  Transient characteristics of a parabolic trough direct-steam-generation process , 2019, Renewable Energy.

[32]  Alexander Schwartz,et al.  Fundamentals Of Engineering Thermodynamics , 2016 .

[33]  Haoyong Yu,et al.  Hybrid feedback feedforward: An efficient design of adaptive neural network control , 2016, Neural Networks.

[34]  E. Camacho,et al.  Control concepts for direct steam generation in parabolic troughs , 2005 .

[35]  Babu Joseph,et al.  Techniques of Model-Based Control , 2002 .

[36]  Robert Margolis,et al.  Solar plus: A review of the end-user economics of solar PV integration with storage and load control in residential buildings , 2018, Applied Energy.

[37]  Kwang Y. Lee,et al.  Hybrid feedforward and feedback controller design for nuclear steam generators over wide range operation using genetic algorithm , 1997 .

[38]  Tor Arne Johansen,et al.  Energy-based control of a distributed solar collector field , 2002, Autom..