Load Cycling of Thermal Power Plants: Advanced Control Technology as Cost-Efficient Enabler
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1 Load Cycling of Thermal Power Plants: Advanced Control Technology as Cost-Efficient Enabler Dr. Nicolas Mertens Flexibilisation of Indian Thermal Power Plants, New Delhi, 30/11/2018
2 Agenda Who we are Motivation for flexible coal operation Coal fired power plant: A time-dependent system Enhanced live steam temperature controller Enhanced power plant load controller Extended control system 8 Summary 2
3 Uniper at a glance Our operations Power Generation Commodity Trading Energy Storage Energy Sales Energy Services We operate in 40+ countries. Around the world. 1.7bn EBITDA in years Experience ~36 GW Generation capacity Main activities Gas fired power plants Coal fired power plants Gas storage Regasification Hydroelectric plants Trading Nuclear plants Energy sales to small and large customers Gas infrastructure Service 3
4 Challenging requirements for coal flexibility Back to agenda Increasing network impact of intermittent renewable generation Variable load following & faster ramp rates Start-up & shutdown cycling Longer periods off-load and in standby operation Bigger swings between maximum and minimum load requirement More competitive market conditions and pricing Drivers to burn a changing or broader mix of coal types 4
5 Load cycling in coal-fired power plants: Secondary control response Power Rate action Overshoot is limited! Power Time 5 minutes 5
6 Load cycling in coal-fired power plants: Secondary control response Power Rate action Power Extended set of controller structures and Parameters required! Lots of cost-intensive plant tests required for optimization! High load cycling capability improves market position! Time 5 minutes 6
7 Coal Mill Operation Mill behavior depends on Coal quality Mechanical wear Plant layout Mill operation parameters Mill load Degree of automation Source: Steam and its generation and use 7
8 Coal Mill: A time-variant system New grinding roller Worn grinding roller 8
9 Coal Power Plant: A time-variant system Coal type A, test run Power Power in MW Pressure Pressure in bar Time 9
10 Coal Power Plant: A time-variant system Coal type B, test run Power in MW Power Pressure Pressure in bar Time Each coal type needs a separate control parameter set. The parameter set depends on the maintenance status of the mill. Lots of expensive plant tests for parameter optimization are required. How about a controller that can adapt the parameter set automatically? Advanced Control Technology as Flexibility Enabler Dr. Nicolas Mertens New Delhi, 30/11/
11 Live steam temperature control: Static PI controller Feed water pump HP preheater ECO Evaporator Spray Attemp. 1 SH 1 SH Spray Attemp. 2 SH 4 Spray Attemp. 3 SH 5 Live steam Time behavior of SH5 depends on - Load (mass flows) - Coal type - Fouling and slagging Only measurements upstream and downstream of the SH are available. 11
12 Live steam temperature control: State controller adapts to changing system behaviour State controllers with observers Observer State Controller 12
13 Live steam temperature control: Comparison of control concepts ,0 90 Load 542,5 Kraftwerksleistung [%]; Ventilöffung [%] , Valve position 537,5 535,0 532,5 530, , , Simulationszeit [s] Sollleistung Kraftwerk brutto Istleistung Kraftwerk brutto Ventilöffnung (Zustandsregler) Ventilöffnung (PI Regler) Frischdampftemperatur (Zustandsregler) Frischdampftemperatur (PI Regler) Frischdampftemperatur [ C] Temperature (PI controller) Temperature (state controller) Setpoint deviation of the state controller is significantly smaller. Reason is that the state controller anticipates control deviations by considering intermediate states.
14 Power plant load control: Controlled system feeder mill furnace steam generator turbine + generator Slow-reacting system, Disturbance on the controlled system cannot be identified. Measurement of a state variable in the middle of the controlled system would help. 14
15 Power plant load control: Controlled system New state variable: Promecon Coal dust measurement system feeder mill furnace steam generator turbine + generator Measurement of absolute coal mass flow in kg/sec using microwave resonator technology Direct identification of mill disturbance, small time constant Signal processing of coal measurement in Kalman filter for control use, capturing mill dynamics 15
16 Power plant load control: Enhanced state controller Real power plant Set point ± Feeder, coal mill Furnace, steam generator, turbine, generator Model correction Coal dust flow Power Feeder, coal mill, furnace, steam generator, turbine, generator Observer K State controller
17 Reference: Wilhelmshaven Power Plant, Germany Wilhelmshaven Power Plant Commissioning 1976 Power gross: 820 MW Fuel: Hard Coal 17 17
18 Comparison of load controllers in real plant Setpoint coal dust mass flow Measurement coal dust mass flow Enhanced state controller Standard controller Setpoint plant load Measurement plant load 1 minute Enhanced state controller runs passive and in parallel to existing controller for testing. Coal dust mass flow deviation is identified earlier! Enhanced state controller reacts approx. 1 minute earlier! Load cycling capability will be increased! 18
19 Conclusion Enhanced state controller delivers 50% increase in secondary response capability (from 10% to 15% MCR) for the reference plant. Power plants are time-variant systems, which require adaptive controllers with automatic parameter adjustment for optimum load-cycling performance. The coal dust measurement can be used to measure an additional state variable in the power plant and improve control. State controllers with observer are very effective in response to process variation and disturbance of the coal mills. State controller can be implemented independently from local DCS-OEM system using external control box. 19
20 Back to agenda EFO navigation Thank you for your attention! Animesh Kumar Chief Commercial Officer India Uniper Power Services Pvt. Ltd. Dr. Nicolas Mertens Specialist Plant Flexibility Uniper Technologies GmbH Doug Waters Sales Uniper Energy Services 20
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