WO2019021151A1 - Procédé et système de détermination des performances de centrales électriques - Google Patents

Procédé et système de détermination des performances de centrales électriques Download PDF

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Publication number
WO2019021151A1
WO2019021151A1 PCT/IB2018/055457 IB2018055457W WO2019021151A1 WO 2019021151 A1 WO2019021151 A1 WO 2019021151A1 IB 2018055457 W IB2018055457 W IB 2018055457W WO 2019021151 A1 WO2019021151 A1 WO 2019021151A1
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Prior art keywords
unit
component
performance parameters
components
power
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PCT/IB2018/055457
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English (en)
Inventor
Jinendra GUGALIYA
Neethu GEORGE
Leonardo AMBROSI
Maurizio BARABINO
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Abb Schweiz Ag
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    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00—Testing or monitoring of control systems or parts thereof
    • G05B23/02—Electric testing or monitoring
    • G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0218—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
    • G05B23/0243—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults model based detection method, e.g. first-principles knowledge model
    • G05B23/0254—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults model based detection method, e.g. first-principles knowledge model based on a quantitative model, e.g. mathematical relationships between inputs and outputs; functions: observer, Kalman filter, residual calculation, Neural Networks
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00—Testing or monitoring of control systems or parts thereof
    • G05B23/02—Electric testing or monitoring
    • G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0208—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the configuration of the monitoring system
    • G05B23/0213—Modular or universal configuration of the monitoring system, e.g. monitoring system having modules that may be combined to build monitoring program; monitoring system that can be applied to legacy systems; adaptable monitoring system; using different communication protocols
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E20/00—Combustion technologies with mitigation potential
    • Y02E20/16—Combined cycle power plant [CCPP], or combined cycle gas turbine [CCGT]

Definitions

  • the present subject matter relates, in general, to power plants and, in particular, to analyzing performance of power plants.
  • Power plants are used for generation of electric power.
  • a power plant can be broadly divided into a plurality of units, each of which performs a particular function.
  • a combined cycle power plant may include a power generation unit for generating output electric power from gas and steam.
  • Each unit may include several components which enable the unit to perform its designated function.
  • the power generation unit includes a gas turbine for generating output electric power from input natural gas and a steam turbine to generate output electric power from steam.
  • the performance of a power plant can be analyzed based on some performance parameters, such as output power and heat rate, of the power plant.
  • Some performance parameters such as output power and heat rate, of the power plant.
  • One conventional technique for obtaining the performance parameters of the power plant involves application of complex first principle models on the units of the power plants. For this, several component level equations are to be deduced and solved considering the plant topology, mass balances, and energy balances. As will be appreciated, such an analysis is to be performed by highly skilled personnel and consumes a significant amount of time. Further, models developed in such a manner cannot be easily fine-tuned based on power plant specifications.
  • KPIs key performance indicators
  • FIG. 1 illustrates a system for analyzing performance parameters of a power plant, in accordance with an implementation of the present subject matter.
  • FIG. 2(a) illustrates an example topology of a unit of a combined cycle power plant, in accordance with an implementation of the present subject matter.
  • FIG. 2(b) illustrates another example topology of a unit of a combined cycle power plant, in accordance with an implementation of the present subject matter.
  • FIG. 3 illustrates a user interface on which topologies of units of a plant can be built, in accordance with an implementation of the present subject matter.
  • FIG. 4 illustrates a method for analyzing performance of power plants, in accordance with an implementation of the present subject matter.
  • FIG. 5(a) illustrates a method for deriving performance parameters of a power plant, in accordance with an implementation of the present subject matter.
  • FIG. 5(b) illustrates a method for deriving performance parameters of a fleet of power plants, in accordance with an implementation of the present subject matter.
  • FIG. 6 illustrates a method for determining a change in performance parameters of a unit due a change in an operating parameter of a component in the unit, in accordance with an implementation of the present subject matter.
  • Fig. 7 illustrates PV diagram for Brayton cycle, in accordance with an implementation of the present subject matter.
  • the systems and methods of the present subject matter can be used for analyzing various performance parameters of the power plants and of a fleet of power plants. With the systems and methods of the present subject matter, performance parameters of the power plants can be obtained in an efficient and simple manner.
  • topology information of a unit of the power plant is received.
  • the unit includes components, each of which is involved in the production of steam or output electrical power.
  • the topology information is analyzed to determine the components of the unit and connections between the components.
  • the performance parameters of the components are received. Thereafter, performance parameters (also referred to as key performance indicators or KPIs) of the unit are derived based on the components of the unit, the connections between the components, and the performance parameters of the components.
  • KPIs key performance indicators
  • performance parameters of the industrial plant are determined.
  • performance parameters of a power plant and its various units can be determined in an efficient manner. Also, the dependence on highly skilled professionals for the determination is eliminated. Further, since performance parameters of components of a unit are used to determine the performance parameters of the unit, and performance parameters of the unit are used to determine the performance parameters of the plant, the present subject matter provides a systematic approach to translate component level performance to unit level and plant level performance. Further, the impact on the performance of a unit or a power plant due to a change in the performance of a component can be assessed. This also enables identification of the root cause of a performance deterioration of the power plant or a unit of the power plant.
  • Fig. 1 illustrates a system 100 for analyzing performance parameters of a power plant, in accordance with an implementation of the present subject matter.
  • the system 100 may be implemented as any computing system which may be, but is not restricted to, a server, a workstation, a desktop computer, a laptop, and an application.
  • the system 100 may also be a machine-readable instructions- based implementation or a hardware-based implementation, or a combination thereof.
  • the system 100 is a remote server connected to the control system in the plant via a communication network (public or private).
  • the system 100 includes a unit analysis engine 102, a plant analysis engine 104, and a processor 106.
  • the system 100 also includes a fleet analysis engine 108 and a topology builder engine 110.
  • the system 100 may also include interface(s), memory, other engines, and system database, which are not shown in Fig. 1.
  • the unit analysis engine 102, plant analysis engine 104, fleet analysis engine 108, topology builder engine 110, and other engines may be coupled to the processor 106. Further, the unit analysis engine 102, plant analysis engine 104, fleet analysis engine 108, topology builder engine 110, and other engines may be implemented in hardware (i.e. as individual hardware modules), instructions executed by the processor 106, or by a combination thereof.
  • the system database may serve as a repository for storing data that may be fetched, processed, received, or created by the unit analysis engine 102, plant analysis engine 104, fleet analysis engine 108, topology builder engine 110, and other engines or received from connected control system, and storage devices.
  • the system 100 can include a component library 112 for storing component models that can be used for building topology of units of a power plant.
  • the component library 112 may be part of a database system, database server, or a storage area network (SAN).
  • some or all of the unit analysis engine 102, plant analysis engine 104, fleet analysis engine 108, topology builder engine 110, and other engines may communicate with each other through a communication network (not shown in Fig. 1).
  • the communication network may be a wireless or a wired network, or a combination thereof.
  • the system 100 is connected to a client 114 on which the performance of the power plant, units, or components is to be monitored.
  • the client 114 may be connected to the system 100 through a communication network, through which information regarding the power plant may be exchanged between the client 114 and the system 100.
  • the client 114 may be implemented as any computing system such as a workstation, a desktop computer, a laptop, a smartphone, a personal digital assistant (PDA), a tablet, or the like.
  • the client 114 is a computing system installed in the power plant used for monitoring performance of the power plant.
  • system 100 may be implemented on a cloud network, so that various client devices, similar to the client 114, from different locations can communicate with the system 100 for performance analysis of power plants.
  • the unit analysis engine 102 analyzes topology of a unit of a power plant to determine components of the unit and connections between the components.
  • the unit analysis engine 102 also receives performance parameters of the components and derives performance parameters of the unit based on the components of the unit, the connections between the components, and the performance parameters of the components.
  • the performance parameters may also be referred to as key performance indicators (KPIs).
  • the plant analysis engine 104 receives parameters of one or more units of the power plant and derives performance parameters of the power plant from the performance parameters of each unit of the power plant.
  • the fleet analysis engine 108 can receive performance parameters of each power plant of a fleet of power plants and derive performance parameters for the fleet from the performance parameters of each power plant. Further, the topology builder engine 110 can build topologies of units based on first and second sets of inputs. [0032]
  • the performance of the components of a power plant depend on various operating and design parameters of the components. The system 100 enables determination of variation of the performance parameters of the components due to the change in its operating and design parameters can be determined using different techniques, which are explained with reference to Fig. 2(a).
  • Fig. 2(a) illustrates an example topology 200 of a unit of a combined cycle power plant, in accordance with an implementation of the present subject matter.
  • a power plant includes one or more units, each performing a specific function, and each unit includes components.
  • the components of the unit may be involved in production of either steam or output electrical power.
  • the units may also include minor equipment, such as fans and pumps that are not directly involved in the production of steam or output electrical power. Such minor equipment may not be considered in the topology for the ease of analysis.
  • a topology of a unit of a power plant refers to a schematic representation of various components of the unit of the power plant, and the connections of components in the unit.
  • the topology 200 includes a representation of a power generation unit 202 of a combined cycle power plant.
  • the topology of a unit may be interchangeably referred to as unit topology.
  • the present subject matter takes into account those components that mainly affect the performance of a unit to obtain the approximate performance of the unit.
  • the gas turbine 204, heat recovery steam generator (HRSG) 206, steam turbine 208, and the heat exchanger 210 alone are considered in the unit topology 200, and other minor equipment, such as fans and pumps are not considered.
  • HRSG heat recovery steam generator
  • the components that are to be considered may be provided by a user, such as an operator of the power plant, while specifying the topology.
  • the system 100 is able to identify the corresponding components based on preconfigured rules and engineering information.
  • each unit of the power plant includes components.
  • the power generation unit 202 includes a gas turbine 204, a Heat Recovery Steam Generator (HRSG) 206, a steam turbine 208, and a heat exchanger 210.
  • HRSG Heat Recovery Steam Generator
  • natural gas can be provided as fuel to the gas turbine 204 for generation of high temperature and high pressure gases to generate electric power. Further, the heat of exhaust gas from the gas turbine 204 will be used by the HRSG 206 to generate steam. The steam is provided to the steam turbine 208, which, then, generates electric power using the steam. The waste steam from the steam turbine 208 is then provided to the heat exchanger 210 for heat recovery from the waste steam.
  • the performance of the power generation unit 202 is dependent on the performance of each component in the power generation unit 202.
  • the performance of a component can be determined based on its performance parameters, such as heat rate and output power, of the component.
  • the performance parameters of each component depends on various operating and design parameters.
  • the performance parameters of the gas turbine 204 depends on its rated power, ambient temperature, pressure, relative humidity, fuel calorific value, pressure drop at compressor inlet and outlet, age, power factor of the gas turbine generator, and so on.
  • the variation of the performance parameters of the components due to the change in its operating and design parameters can be determined using different techniques, some of which are explained below.
  • the variation of the performance parameters of the gas turbine 204 due to the change in its operating parameters can be determined using one or more correction curves relating the performance parameters as a function of the operating parameters.
  • Such correction curves may be provided by the manufacturer of the gas turbine 204.
  • An example correction curve may illustrate an output power ratio as a function of ambient temperature. Therefore, with the knowledge of the current ambient temperature, the output power of the gas turbine 204 can be determined as a product of its rated output power and the power output ratio corresponding to the current ambient temperature.
  • an existing component in the unit is replaced with a similar component from the different manufacturers and is therefore is of a different make.
  • the change in design parameters originating due to the change in the components can be evaluated.
  • one or more models relating the component operating parameters to the component performance parameters can be utilized.
  • Such models may be built using initial assumptions regarding the forms of curves (quadratic, cubic, and the like) depicting the relation between the component performance parameters and the operating parameters and then using operating data to determine coefficients of such curves.
  • the forms of curves can be derived from first principles governing the operation of the component.
  • equation (2) is differentiated and the following relations are derived:
  • equation (3) is substituted in (1) and the following calculations are done to arrive at a relation that gives change in heat rate due to change in output pressure as in equation (6)
  • the equation (2) which is developed from thermodynamic principles of the gas turbine 204, provides a model that can be applied to determine the variation in the performance of the gas turbine 204 due to the change in its outlet pressure. Thereafter, the operating data of the gas turbine 204 can be used to determine parameters of this model.
  • this example technique is a hybrid approach utilizing both domain knowledge and operating data.
  • the relation between component performance parameters and the operating parameters is determined using historical data of operating parameters and performance parameters. For this, in an embodiment, a least square optimization technique can be used for obtaining model forms and coefficients. Finally, an equation as the one below may be obtained:
  • the unit analysis engine 102 can determine performance parameters of the unit. For this, the unit analysis engine 102 utilizes the unit topology 200. The determination of the performance parameters of the power generation unit 202 based on its topology and the performance parameters of its constituent components is explained below.
  • the unit analysis engine 102 analyzes the topology of the power generation unit 202 to determine the components of the power generation unit 202 and the connections between those components. Upon analysis of the topology of power generation unit 202, the unit analysis engine 102 can determine that the power generation unit 202 includes the gas turbine 204, HRSG 206, steam turbine 208, and heat exchanger 210, and that the gas turbine 204 is connected to the HRSG 206, which, in turn, is connected to the steam turbine 208.
  • the unit analysis engine 102 can also determine that the output power generated by the power generation unit 202 (P un it) is a sum of the power generated by the gas turbine 204 (PGT) and the power generated by the steam turbine 208 (PST). That is,
  • the unit analysis engine 102 can also determine the power output of the gas turbine 204 as a product of its efficiency (T
  • the unit analysis engine 102 can determine the output power generated by the steam turbine 208 as below:
  • HRSG sT * (l- ⁇ ) * Q (6)
  • HRSG sT * (l- ⁇ ) * Q (6)
  • the output power of the power generation unit 202 can be determined as:
  • the heat rate of the power generation unit 202 can be determined as per the below equation:
  • the unit analysis engine 102 can derive the performance parameters of the power generation unit 202 based on its topology and the performance parameters of its constituent components.
  • the unit analysis engine 102 can determine the impact of the change in the performance parameters of the components of the power generation unit 202 on the change in the performance parameters of the power generation unit 202.
  • the change in the heat rate of the power generation unit 202 can be determined based on the change in the heat rate of the gas turbine 204 using partial derivatives as per the below equations:
  • HRU (1 - VHRSG * VST) * — * H R (10)
  • KGT (1 - 3 ⁇ 4RSG * ⁇ ) *— (H)
  • HRunit is the heat rate of the power generation unit 202
  • HRGT is the heat rate of the gas turbine 204
  • KGT is the coefficient to scale the effect of heat rate of the gas turbine 204 to the heat rate of the power generation unit 202.
  • the unit analysis engine 102 can receive a potential change in the operating parameter of a component as an input, determine the change in the performance parameters of the component (using correction curves, hybrid approach, or historical data as explained above), and determine the change in the performance parameters of the unit due to the change in the performance parameters of the component. Therefore, the present subject matter provides an intuitive way to gauge the impact on the performance of a unit of the power plant due to the change of an operating parameter of any of its constituent components.
  • FIG. 2(b) illustrates another example topology 250 of a unit of a power plant, in accordance with an implementation of the present subject matter.
  • the unit topology 250 includes two gas turbines 252 and 254 and one steam turbine 256 in a power generation unit 258 of a combined cycle power plant.
  • the power generation unit 258 also includes two HRSGs 260 and 262, connected to the gas turbines 252 and 254, respectively.
  • the unit analysis engine 102 can analyze the topology of the power generation unit 258 and derive the performance parameters of the power generation unit 258 in a manner as explained with reference to Fig. 2(a). Based on the analysis, the unit analysis engine 102 can derive the following coefficients to scale the effect of the heat rate of the gas turbines 252 and 254 to the heat rate of the power generation unit 258:
  • K GT1 (1 - riHRSGi * ⁇ ) * ( 12 )
  • HRSG2 are the efficiencies of HRSGs 260 and 262, respectively
  • PGTI and PGT2 are the power outputs of the gas turbines 252 and 254, respectively.
  • a general formula for any unit topology with n gas turbines and HRSGs can be derived by the unit analysis engine 102 as below:
  • K G n (1 - 3 ⁇ 4RSGi * ⁇ ⁇ ⁇ ) * (14) where i denotes a particular gas turbine and HRSG and can vary between 1 and n.
  • the plant analysis engine 104 can receive the performance parameters and derive the performance parameters of the power plant. For example, the plant analysis engine 104 can derive the heat rate of a power plant having n units using the below equation:
  • the performance parameters can be derived for a fleet of power plants by the fleet analysis engine 108.
  • the fleet analysis engine 108 receives the performance parameters of each power plant of the fleet, which are calculated by the plant analysis engine 104.
  • the fleet analysis engine 108 can then derive the performance parameters of the fleet based on the received performance parameters.
  • the fleet analysis engine 108 can derive the heat rate of a fleet having n power plants using the below equation:
  • the present subject matter provides simple and efficient methods for deriving performance parameters for an entire fleet of power plants. Further, the present subject matter enables scaling the performance at a component level to the unit level, power plant level, and to the fleet level. Therefore, the present subject matter provides a highly scalable technique for analyzing performance of various part of a fleet of power plants, and is therefore, highly efficient and fast. [0062] Further, the present subject matter can also determine change in the performance parameters of the power plant or a fleet of power plants based on a potential change in an operating parameter of a constituent component. For example, it is possible to quantify the impact of 1% increase in output pressure on the heat rate of a gas turbine. Further using equations (11), (15), and (16), the impact of the same change can be determined on a unit, plant, and fleet heat rates, respectively.
  • the performance parameters at multiple levels can be analyzed in the drill-down manner, for example, from fleet level to power plant level to unit level, and then finally to component level. Such an analysis enables easy identification of root cause of a poor performance. Further, in an implementation, the system 100 can provide recommendations for improving performance or automatically perform corrective actions based on performance parameters of the power plant, the units in the power plant and the equipment in the units.
  • the unit topology is determined from a plurality of engineering artifacts such as process graphics, P&ID diagrams, etc.
  • the unit topology determined from the P&ID diagrams can be modified by the topology builder engine 110 based on user inputs.
  • the component models stored in the component library 112 can be utilized. The building of the unit topology is explained with reference to Fig. 3.
  • FIG. 3 illustrates a user interface 300 on which topologies of units of a power plant can be modified, in accordance with an implementation of the present subject matter.
  • the UI 300 includes a component model area 302 and a topology area 304.
  • the component model area 302 includes models of various components that can be used in the units of the power plant.
  • the component model area 302 includes models 306, 308, 310, and 312 indicating gas turbine, HRSG, steam turbine, and heat exchanger, respectively.
  • the component model area 302 can also include names of the models, such as names 314, 316, 318, and 320.
  • the component models are provided by the manufacturers of the components.
  • the topology area 304 is already populated with the component models based on the connections between the components are determined from the P& ID diagrams and /or process graphics.
  • the user can drag and drop the models to change the connections between the components in the topology.
  • the user can build or add to the topology by dragging and dropping component models from the component model area 302 onto the topology building area 304 for building the unit topology.
  • the inputs to drag and drop the component models are referred to as a first set of inputs.
  • the component models dropped in the topology building area 304 can be connected.
  • a HRSG model 308 and a gas turbine model 306 dropped in the topology building area 304 can be connected.
  • the inputs to connect component models are referred to as a second set of inputs.
  • the topology builder engine 110 can develop the unit topology. For example, as illustrated in Fig. 3, the topology builder engine 110 has built the unit topology 250 based on the first and second set of inputs.
  • the UI 300 can be hosted on the system 100 and be provided to the client 114 from the system 100.
  • a user such as an operator of a power plant, can utilize the UI 300 to modify the topology of the units of the power plant generated from the P&ID diagrams, by providing the first and second sets of inputs.
  • the topology is provided by the topology builder engine 110 to the unit analysis engine 102 for analysis. Based on the analysis, the performance parameters of the unit can then be provided to the client 114.
  • the component level information such as correction curves, equations and curves relating performance parameters of the components to their operating parameters, historical data of operating parameters and performance parameters of the components, can be provided by client 114. Further, in an implementation, the system 100 can determine the component level information based on the engineering or manufacturing documents including device specifications .
  • Fig. 4 illustrates a method 400 for analyzing performance of power plants, in accordance with an implementation of the present subject matter.
  • the power plant includes one or more units, such as the power generation unit 202 and power generation unit 258.
  • Each unit includes components, such as the gas turbine 204, HRSG 206, and steam turbine 208.
  • Each component is involved in the production of output electrical power or steam.
  • the order in which the method 400 is described is not intended to be construed as a limitation, and any number of the described method blocks may be combined in any order to implement the method 400, or an alternative method.
  • the method 400 may be implemented by processor(s) or computing device(s) through any suitable hardware, non-transitory machine readable instructions, or a combination thereof.
  • steps of the method 400 may be performed by programmed computing devices and may be executed based on instructions stored in a non-transitory computer readable medium. Although the method 400 may be implemented in a variety of systems, the method 400 is described in relation to the system 100, for ease of explanation.
  • topology of a unit of the power plant is received.
  • the topology can be, for example, the unit topology 200 or unit topology 250.
  • the topology may be received by the unit analysis engine 102 from the topology engine 110.
  • the topology is analyzed to determine components of the unit and the connections between the components.
  • the analysis can be performed by the unit analysis engine 102.
  • the unit topology 200 it can be determined that the unit 202 includes the gas turbine 204, HRSG 206, steam turbine 208, and heat exchanger 210 and that the gas turbine 204 is connected to the HRSG 206 and the HSRG 206 is connected to the steam turbine 208.
  • performance parameters of the components are received.
  • the received performance parameters can be, for example, output power and heat rate of the components.
  • the performance parameters may be received, for example, from the client 114 or derived from engineering documentation of the components. In some cases, the performance parameters of a component may be determined using correction curves provided by manufacturer of the component, first principles governing operation of the component, or historical data of the performance parameters and operating parameters of the component, as explained earlier.
  • step 408 performance parameters of the unit are derived based on the components of the unit, connections between the components, and the performance parameters of the components.
  • the derivation of the performance parameters can be performed by the unit analysis engine 102.
  • the output power of the unit is a sum of the output power generated by each component of the unit that is involved in the production of output electrical power. For example, in the case of power generation unit 202, a determination is made that its output power (P U nit) is determined as a sum of the output power generated by the gas turbine 204 (PG T ) and the output power generated by the steam turbine 208 (PST).
  • a relationship is determined between the output power of each component involved in the production of output electrical power and its efficiency and power input. For example, a relationship is determined between PG T and its input power (Q) and efficiency (?7G T ). Similarly, a relationship is determined between PST and its efficiency (?7ST) and input power (J
  • equations for output power and heat rate of the unit are derived based on the determined relationship for each component. For example, the equations (7) and (8) are derived.
  • Fig. 5(a) illustrates a method 500 for deriving performance parameters of a power plant, in accordance with an implementation of the present subject matter.
  • the order in which the method 500 is described is not intended to be construed as a limitation, and any number of the described method blocks may be combined in any order to implement the method 500, or an alternative method.
  • the method 500 may be implemented by processor(s) or computing device(s) through any suitable hardware, non-transitory machine readable instructions, or a combination thereof.
  • steps of the method 500 may be performed by programmed computing devices and may be executed based on instructions stored in a non-transitory computer readable medium. Although the method 500 may be implemented in a variety of systems, the method 500 is described in relation to the system 100, for ease of explanation.
  • performance parameters of one or more units of the power plant are received.
  • the performance parameters for the one or more units may be determined by the unit analysis engine 102, in a manner described in the method 400.
  • step 504 performance parameters of the power plant are derived from the performance parameters of each unit of the one or more units.
  • the derivation can be performed by the plant analysis engine 104.
  • the equation (15) may be used.
  • Fig. 5(b) illustrates a method 550 for deriving performance parameters of a fleet of power plants, in accordance with an implementation of the present subject matter.
  • the order in which the method 550 is described is not intended to be construed as a limitation, and any number of the described method blocks may be combined in any order to implement the method 550, or an alternative method.
  • the method 550 may be implemented by processor(s) or computing device(s) through any suitable hardware, non-transitory machine readable instructions, or a combination thereof.
  • steps of the method 550 may be performed by programmed computing devices and may be executed based on instructions stored in a non-transitory computer readable medium. Although the method 550 may be implemented in a variety of systems, the method 550 is described in relation to the system 100, for ease of explanation.
  • step 552 performance parameters of one or more power plants of the fleet of power plants are received.
  • the performance parameters for the one or more units may be determined by the plant analysis engine 104, in a manner described in the method 500.
  • step 554 performance parameters of the fleet of power plants are derived from the performance parameters of each power plant of the fleet of power plants.
  • the derivation can be performed by the fleet analysis engine 108.
  • the equation (16) may be used.
  • Fig. 6 illustrates a method 600 for determining a change in performance parameters of a unit due a change in an operating parameter of a component in the unit, in accordance with an implementation of the present subject matter.
  • the order in which the method 600 is described is not intended to be construed as a limitation, and any number of the described method blocks may be combined in any order to implement the method 600, or an alternative method.
  • the method 600 may be implemented by processor(s) or computing device(s) through any suitable hardware, non-transitory machine readable instructions, or a combination thereof.
  • steps of the method 600 may be performed by programmed computing devices and may be executed based on instructions stored in a non-transitory computer readable medium. Although the method 600 may be implemented in a variety of systems, the method 600 is described in relation to the system 100, for ease of explanation.
  • an input of a hypothetical change of an operating parameter of a unit of a power plant is received.
  • the hypothetical change may be received from the client 114.
  • an operator of a power plant operating the client 114 may provide a hypothetical input of a 1% increase in the output pressure of the gas turbine 204, in order to evaluate the change in the performance of the power generation unit 202 due to such a change.
  • a change in the performance parameters of the component due to the change in the operating parameter is determined. The determination may be performed by the unit analysis engine 102.
  • the unit analysis engine 102 can utilize the equation (2) to determine the change in the heat rate of the gas turbine 204.
  • a change in the performance parameters of the unit due to the change in the performance parameters of the component is determined.
  • the determination may be performed by the unit analysis engine 102.
  • the unit analysis engine 102 can utilize the equation (14) to determine the change in the heat rate of the power generation unit 202.
  • the methods and systems of the present subject matter provides an efficient technique for analyzing performance of fleets of power plants, power plants, and units of power plants.
  • the techniques eliminate the dependence on the skilled personnel to analyze the performance of the power plants.
  • performance parameters of components of a unit are used to determine the performance parameters of the unit, and performance parameters of the unit are used to determine the performance parameters of the plant
  • the present subject matter provides a systematic approach to translate component level performance to unit level and plant level performance. For instance, the present subject matter enables a drilling down from performance parameters of a fleet of power plants to performance parameters of one of the power plants, and then to one unit of the power plant, and so on.

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  • Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Automation & Control Theory (AREA)
  • Artificial Intelligence (AREA)
  • Evolutionary Computation (AREA)
  • Mathematical Physics (AREA)
  • Testing And Monitoring For Control Systems (AREA)

Abstract

L'invention concerne des techniques d'analyse des performances de centrales électriques. Une centrale électrique comprend une ou plusieurs unités (202, 258) et chaque unité comprend des composants (204, 206, 208) impliqués dans la production de vapeur d'eau ou de puissance électrique de sortie. Une topologie (200, 250) d'une unité (202, 258) de la centrale électrique est reçue. La topologie (200, 250) est analysée pour déterminer les composants (204, 206, 208) de l'unité (202, 258) et les connexions entre les composants (204, 206, 208). Des paramètres de performances des composants (204, 206, 208) sont reçus. Ensuite, les paramètres de performances de l'unité (202, 258) sont déduits sur la base des composants de l'unité (202, 258), des connexions entre les composants (204, 206, 208) et des paramètres de performances des composants (204, 206, 208).
PCT/IB2018/055457 2017-07-28 2018-07-23 Procédé et système de détermination des performances de centrales électriques WO2019021151A1 (fr)

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Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20100332187A1 (en) * 2009-06-24 2010-12-30 Michael Jay Gross Systems and method for power plant performance reconciliation
US20130311139A1 (en) * 2012-05-18 2013-11-21 General Electric Company System and method for controlling and diagnosing a combined cycle power plant
EP2728426A2 (fr) * 2012-11-05 2014-05-07 Rockwell Automation Technologies, Inc. Modèles sécurisés d'optimisation et de commande sur la base d'un modèle
EP3026510A1 (fr) * 2014-11-26 2016-06-01 General Electric Company Procédés et systèmes permettant d'améliorer la commande d'unités de génération de puissance d'une centrale électrique

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20100332187A1 (en) * 2009-06-24 2010-12-30 Michael Jay Gross Systems and method for power plant performance reconciliation
US20130311139A1 (en) * 2012-05-18 2013-11-21 General Electric Company System and method for controlling and diagnosing a combined cycle power plant
EP2728426A2 (fr) * 2012-11-05 2014-05-07 Rockwell Automation Technologies, Inc. Modèles sécurisés d'optimisation et de commande sur la base d'un modèle
EP3026510A1 (fr) * 2014-11-26 2016-06-01 General Electric Company Procédés et systèmes permettant d'améliorer la commande d'unités de génération de puissance d'une centrale électrique

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