公开(公告)号：US20110144772A1

公开(公告)日：2011-06-16

申请号：US12965548

申请日：2010-12-10

申请人： Jeffrey J. Grott ,  Jeffery J. Williams ,  Konrad Swirski ,  Tomasz Chomiak ,  Konrad Wojdan

发明人： Jeffrey J. Grott ,  Jeffery J. Williams ,  Konrad Swirski ,  Tomasz Chomiak ,  Konrad Wojdan

IPC分类号： G05B11/01

CPC分类号： G05B13/024 ,  G05B13/021 ,  G05B13/041 ,  G06N3/126 ,  Y02E40/76 ,  Y04S10/545

摘要： An integrated optimization and control technique performs process control and optimization using stochastic optimization similar to the manner in which biological immune systems work, and thus without the use of historical process models that must be created prior to placing the control and optimization routine in operation within a plant. An integrated optimization and control technique collects various indications of process control states during the on-line operation of the process, and attempts to optimize the process operation by developing a series of sets of process control inputs to be provided to the process, wherein the control inputs may be developed from the stored process control states using an objective function that defines a particular optimality criteria to be used in optimizing the operation of the process. The technique responds to a significant change in the current process state by determining anew set of process control inputs to be provided to the process based on one or more of the stored process control states.

摘要翻译： 综合优化和控制技术使用与生物免疫系统工作方式类似的随机优化来执行过程控制和优化，从而不使用在将控制和优化程序置于运行中之前必须创建的历史过程模型 厂。 集成优化和控制技术在过程的在线操作期间收集过程控制状态的各种指示，并尝试通过开发一系列要提供给过程的过程控制输入来优化过程操作，其中控制 可以使用定义用于优化过程的操作的特定最优性标准的目标函数从存储的过程控制状态开发输入。 该技术通过基于存储的过程控制状态中的一个或多个确定要提供给过程的一组过程控制输入来响应当前进程状态的重大变化。

公开(公告)号：US20080125881A1

公开(公告)日：2008-05-29

申请号：US11497839

申请日：2006-08-02

申请人： Jeffrey J. Grott ,  Jeffery J. Williams ,  Konrad Swirski ,  Tomasz Chomiak ,  Konrad Wojdan

发明人： Jeffrey J. Grott ,  Jeffery J. Williams ,  Konrad Swirski ,  Tomasz Chomiak ,  Konrad Wojdan

IPC分类号： G05B13/04

CPC分类号： G05B13/024 ,  G05B13/021 ,  G05B13/041 ,  G06N3/126 ,  Y02E40/76 ,  Y04S10/545

摘要： An integrated optimization and control technique performs process control and optimization using stochastic optimization similar to the manner in which biological immune systems work, and thus without the use of historical process models that must be created prior to placing the control and optimization routine in operation within a plant. In particular, an integrated optimization and control technique collects various indications of process control states during the on-line operation of the process, and stores these process control states within a memory. During steady-state operation of the process, the integrated optimization and control technique attempts to optimize the process operation by developing a series of sets of process control inputs to be provided to the process, wherein the series of process control inputs may be developed from the stored process control states using an objective function that defines a particular optimality criteria to be used in optimizing the operation of the process. Moreover, the integrated optimization and control technique may respond to a significant change in the current process state by determining a new set of process control inputs to be provide to the process based on one or more of the stored process control states. In this case, the optimization and control technique compares the disturbance inputs of the current process control operating condition, after one or more of these disturbance inputs experiences a significant change, to the disturbance inputs of at least some of the stored process control states to determine the one or more of the stored process control states that is/are closest to the new process operating condition. The integrated optimization and control technique then develops the new set of control inputs to be delivered to the process based on the control inputs associated with the one or more stored process control states determined to be closest to the new process operating condition.

公开(公告)号：US08200369B2

公开(公告)日：2012-06-12

申请号：US12047217

申请日：2008-03-12

申请人： Xu Cheng ,  Frederick C. Huff ,  Peter N. Francino ,  Konrad Swirski

发明人： Xu Cheng ,  Frederick C. Huff ,  Peter N. Francino ,  Konrad Swirski

IPC分类号： G06F1/26

CPC分类号： F23N5/242 ,  F23N2023/44 ,  F23N2025/24 ,  F23N2037/10 ,  G05B23/021 ,  G05B23/024 ,  G05B23/0294 ,  Y02P80/114

摘要： A technique of implementing performance monitoring in a power plant is appropriate to control operating parameters and factors connected with the efficiency of the energy production process in an energy marketplace that is more complex than in the past, and that takes variable costs besides the cost of fuel into account, e.g., environmental credits, equipment degradation and repair costs, electrical energy trade market factors like ramp rate, LMP (Locational Marginal Pricing) factors, the ability to deliver contracted power levels and spot transactions, etc. The technique applies a statistical analysis to collected power plant data to determine the factors that are best controlled or changed to affect (increase) the efficiency or other primary performance indication of the plant, as well as to establish baseline or best-possible operational constraints to be used to control the plant in the future.

摘要翻译： 在电厂中实施性能监测的技术适用于控制运行参数和与能源生产过程效率相关的因素，该能源市场比以往更为复杂，并且除了燃料成本之外还需要可变成本 考虑到环境信贷，设备退化和维修成本，电能贸易市场因素如斜率，LMP（位置边际定价）因素，承诺能力水平和现货交易能力等。该技术应用统计分析 收集发电厂数据，以确定最佳控制或改变以影响（增加）工厂的效率或其他主要性能指标的因素，以及建立用于控制工厂的基准或最佳可能的操作限制 在将来。

公开(公告)号：US08509924B2

公开(公告)日：2013-08-13

申请号：US12965548

申请日：2010-12-10

申请人： Jeffrey J. Grott ,  Jeffery J. Williams ,  Konrad Swirski ,  Tomasz Chomiak ,  Konrad Wojdan

发明人： Jeffrey J. Grott ,  Jeffery J. Williams ,  Konrad Swirski ,  Tomasz Chomiak ,  Konrad Wojdan

IPC分类号： G05B13/02 ,  G05B13/00 ,  C12N11/00 ,  C12N5/00 ,  C12N1/00

CPC分类号： G05B13/024 ,  G05B13/021 ,  G05B13/041 ,  G06N3/126 ,  Y02E40/76 ,  Y04S10/545

摘要： An integrated optimization and control technique performs process control and optimization using stochastic optimization similar to the manner in which biological immune systems work, and thus without the use of historical process models that must be created prior to placing the control and optimization routine in operation within a plant. An integrated optimization and control technique collects various indications of process control states during the on-line operation of the process, and attempts to optimize the process operation by developing a series of sets of process control inputs to be provided to the process, wherein the control inputs may be developed from the stored process control states using an objective function that defines a particular optimality criteria to be used in optimizing the operation of the process. The technique responds to a significant change in the current process state by determining anew set of process control inputs to be provided to the process based on one or more of the stored process control states.

摘要翻译： 综合优化和控制技术使用与生物免疫系统工作方式类似的随机优化来执行过程控制和优化，从而不使用在将控制和优化程序置于运行中之前必须创建的历史过程模型 厂。 集成优化和控制技术在过程的在线操作期间收集过程控制状态的各种指示，并尝试通过开发一系列要提供给过程的过程控制输入来优化过程操作，其中控制 可以使用定义用于优化过程的操作的特定最优性标准的目标函数从存储的过程控制状态开发输入。 该技术通过基于存储的过程控制状态中的一个或多个确定要提供给过程的一组过程控制输入来响应当前进程状态的重大变化。

公开(公告)号：US20090012653A1

公开(公告)日：2009-01-08

申请号：US12047217

申请日：2008-03-12

申请人： Xu Cheng ,  Frederick C. Huff ,  Peter N. Francino ,  Konrad Swirski

发明人： Xu Cheng ,  Frederick C. Huff ,  Peter N. Francino ,  Konrad Swirski

IPC分类号： G06F1/26

CPC分类号： F23N5/242 ,  F23N2023/44 ,  F23N2025/24 ,  F23N2037/10 ,  G05B23/021 ,  G05B23/024 ,  G05B23/0294 ,  Y02P80/114

摘要： A technique of implementing performance monitoring in a power plant is appropriate to control operating parameters and factors connected with the efficiency of the energy production process in an energy marketplace that is more complex than in the past, and that takes into account more than just the cost of fuel. In particular, this method works well when the real costs of production are dependent on other variable costs besides the cost of fuel, such as environmental credits, equipment degradation and repair costs, as well as electrical energy trade market factors like ramp rate, LMP factors, and the ability to deliver contracted power levels and spot transactions. The power plant performance monitoring technique applies a statistical analysis to collected power plant data to determine the factors that are best controlled or changed to affect (increase) the efficiency or other primary performance indication of the plant, in whatever state or operating level the plant is run. Because heat rate calculation applications are typically performed on-line, it is possible to analyze collected plant data in detail and to apply for example, principal component analysis (PCA) and linear and nonlinear regression analysis to the data, which enables the performance method to obtain a more accurate detection of the influence of the principal process parameters that affect heat rate deviation (efficiency), as well as to establish baseline or best-possible operational constraints to be used to control the plant in the future. This performance based control methodology will allow for near optimum performance of power plants by constantly allowing for refinement and best practices and control to be realized.

摘要翻译： 在电厂中实施性能监测的技术适用于控制与能源市场中能源生产过程效率相关的运行参数和因素，这些能源市场比以往更复杂，并且不仅考虑到成本 的燃料。 特别是，当生产的实际成本取决于其他可变成本，除了燃料成本（如环境信贷，设备退化和维修成本）以及电能贸易市场因素如升温速率，LMP因素 ，以及提供合同权力水平和现货交易的能力。 电厂性能监测技术对收集的电厂数据进行统计分析，以确定最佳控制或改变的因素，以影响（增加）工厂的效率或其他主要性能指标，无论工厂的任何状态或操作级别 跑。 由于热速率计算应用通常在线进行，因此可以详细分析采集的工厂数据，并将主成分分析（PCA）和线性和非线性回归分析应用于数据，这使得性能方法能够 更准确地检测影响热耗率偏差（效率）的主要工艺参数的影响，以及建立将来用于控制工厂的基准或最佳可能的操作限制。 这种基于性能的控制方法将通过不断允许精细化和最佳实践和控制来实现发电厂的近似最佳性能。