数据挖掘技术在火电厂优化运行中的应用

火电机组运行优化目标值的合理确定是实施机组性能诊断和优化运行的前提和基础，是电站运行优化的关键。采用传统方法确定的优化目标值往往不能正确反映机组的实际运行状态。充分利用火电厂生产运行的大量历史数据，提出了数据挖掘的火电机组运行优化方法，将模糊关联规则应用于火电厂运行优化目标值的确定。以某300MW机组历史数据为基础，运用这一方法得到各典型工况下的最优值以指导实际运行。试验结果表明，基于数据挖掘的火电厂运行优化目标值确定方法可以提高机组运行效率，降低污染物排放。     

锅炉给水泵优化运行的探讨

对电厂锅炉给水泵优化运行进行分析比较,建立一套优化运行系统,用以指导给水泵运行,从而达到降低厂用电量的目的。     

机组经济运行管理系统在电厂的应用

针对某发电厂实施的机组经济运行管理系统项目,总结了实施的重要阶段,详细介绍了机组经济运行管理系统,可为此类项目在国内的实施提供经验借鉴。     

Design exploration of three-dimensional transverse jet in a supersonic crossflow based on data mining and multi-objective design optimization approaches

The information in the three-dimensional transverse injection flow field is very important for the design of a scramjet combustor, and it should be explored by using the data mining and multi-objective design optimization methods. In the current study, the three-dimensional Reynolds-averaged Navier–Stokes (RANS) equations coupled with the two equation SST k-ω turbulence model has been utilized to simulation the transverse injection flow field with a freestream Mach number 3.75, and the influence of the turbulence model on the flow field properties has been evaluated as well. At the same time, three grid scales have been employed to perform the grid independency analysis, and the predicted results have been compared with the available experimental data in the open literature in order to carry out the code validation process. Further, the effect of the injector geometric configuration on the mixing efficiency of the transverse injection flow field has been investigated, and four different configurations have been considered in the current study, namely the square port, the diamond port, the equilateral triangular port and the circular port. The obtained results show that the case with the square injection port can obtain the largest mixing efficiency, and it can offer the rapidest near-field mixing between the injectant and the air. At last, the transverse injection flow field with the square injection port has been optimized by the surrogate-based evolutionary algorithm, and the relationships between the design variables and the objective functions have been explored by the variance analysis method. It is shown that the jet-to-crossflow pressure ratio has a high remarkable impact on the total pressure recovery efficiency, as well as the number of the injection ports on the drag force performance. The drag force increases with the increase of the number of the injection ports due to the deeper penetration of the rear jets.     

锅炉经济性分析及最优氧量的确定

在锅炉送风及炉膛压力控制系统中,氧量设定值的改变会导致锅炉热损失及送风机电耗的改变,从而影响电站经济性.针对机组运行状态发生改变后的氧量最优值更新问题,提出了改进的增量式模糊数值型关联规则挖掘算法,并以 1 台300 MW 机组为例进行了分析.结果表明:这种新的挖掘算法与传统的数据挖掘方法相比,具有良好的快速性,效率可提高4～16倍,大大减少了候选项集的数目,因而大量减少了重复计算的费用.该方法确定的氧量最优值可有效降低机组供电煤耗效率,并可提高机组运行经济性.     

自适应预报方法在时间序列数据挖掘中的应用

介绍了用于工业月产值的时变参数自适应多步预报两种方法,是处理一类时间序列数据挖掘的实用较好方法,具有一定的推广应用价值。     

电站锅炉运行参数对经济性的影响

本文针对某电站锅炉,进行了燃烧调整试验,分析了运行参数对锅炉效率的影响,提出了合理的运行工况。为电站锅炉经济运行提供参考。     

安康水电站水轮机运行性能优化途径

安康水电站近年水轮机过流部件损坏严重,影响电站安全运行。分析其原因,主要是运行工况欠佳、水轮机补气效果不好等原因所致。应采取改善运行工况,改进补气措施、提高检修水平等技术措施,以达到优化水轮机运行性能的目的。     

A new self-scheduling strategy for integrated operation of wind and pumped-storage power plants in power markets

Competitive structure of power markets causes various challenges for wind resources to participate in these markets. Indeed, production uncertainty is the main cause of their low income. Thus, they are usually supported by system operators, which is in contrast with the competitive paradigm of power markets. In this paper, a new strategy for increasing the profits of wind resources is proposed. In the suggested strategy, a Generation Company (GenCo), who owns both wind and pumped-storage plants, self-schedules the integrated operation of them regarding the uncertainty of wind power generation. For presenting an integrated self-schedule and obtaining a real added value of the strategy, participation of the GenCo in energy and ancillary service markets is modeled. The self-scheduling strategy is based on stochastic programming techniques. Outputs of the problem include generation offers in day-ahead energy market and ancillary service markets, including spinning and regulation reserve markets. A Neural Network (NN) based technique is used for modeling the uncertainty of wind power production. The proposed strategy is tested on a real wind farm in mainland, Spain. Moreover, added value of the strategy is presented in different conditions of the market.     

电站运行优化决策支持系统及优化值的确定

在电站运行优化的目标分析的基础上，依照决策支持系统(DSS)的结构及其设计思想，对电站运行优化决策支持系统(OODSS)的结构进行探讨，重点对运行优化的关键性难题——优化目标值的确定问题进行深入研究，在传统方法的基础上提出基于数据开采技术的新方法，并利用决策支持系统解决半结构化问题的优势提出进一步的综合性解决方案。图2表2参5     

基于分布式发电的10kV电网无功优化关键算法的研究与实践

阐述了无功优化理论,介绍了无功优化的数学模型,提出了采用粒子群优化算法对含分布式发电的配电网进行无功优化的研究思路,并用算例进行仿真分析,得到了最终的优化方案。     

万丰热电厂厂区水煤浆系统的优化与运行

介绍了万丰热电厂220t／h油炉改烧水煤浆的卸、储、运系统设计特点及设备选型和系统运行情况,同时针对水煤浆的特点和该锅炉运行要求,对系统中的管路布置、储罐局部设计、回流系统和运行方法等进行了优化设计和改进,应用证明这些改造方法对提高系统的安全可靠运行是十分有效的。     

考虑风储多维运行边界的调峰资源优化配置模型

近年来,风储联合发电系统取得了一定的发展,但在网络约束下的储能系统储放范围与风电渗透率之间存在着制约的关系,导致原有调峰资源的配置方案会对储能系统的储放空间及运行效率产生一定的影响。为解决该问题,文章引入风储联合系统接入配网后的多维运行边界并将其转化为调峰资源优化配置过程中的约束条件,建立综合考虑风储容量与调峰资源经济性的优化配置模型并进行求解。仿真算例验证结果表明,文章提出的考虑风储多维运行边界下调峰优化配置模型可实现风电与储能利用最大化及调峰资源配置经济性最优。     

An operation support expert system based on on-line dynamicssimulation and fuzzy reasoning for startup schedule optimization infossil power plants

An expert system which can support operators of fossil power plants in creating the optimum startup schedule and executing it accurately is described. The optimum turbine speed-up and load-up pattern is obtained through an iterative manner which is based on fuzzy reasoning using quantitative calculations as plant dynamics models and qualitative knowledge as schedule optimization rules with fuzziness. The rules represent relationships between stress margins and modification rates of the schedule parameters. Simulation analysis proves that the system provides quick and accurate plant startups     

An MCFC operation optimization strategy based on PID auto-tuning control

Molten Carbonate Fuel Cell (MCFC) has been emerging as a promising renewable power system. It is still challenging to operate the MCFC to meet its varying demands because of its nonlinearity and complex dynamics. This paper proposes a novel MCFC operation framework based on PID auto-tuning control. A case study is presented to illustrate the applicability of the strategy with some comments.     

Parallel operation characteristics of PEM fuel cell and microturbine power plants

This paper reports on the dynamic behavior of a 250 kW proton exchange membrane fuel cell power plant (PEM FCPP) and a 250 kW microturbine (MT) when operating in parallel. A load sharing control scheme is used to distribute the load equally between the PEM FCPP and the MT. For stand alone operation of a PEM FCPP, a set of batteries or ultracapacitors are needed in order to satisfy the power mismatch during transient periods. Using MT in parallel with the PEM FCPP helps in eliminating the need for storage devices. Models for the PEM FCPP and the MT with power, voltage and speed controls are used to determine the dynamic response of the system to a step change in the load. Simulation results indicate viability of parallel operation of the PEM FCPP and the MT. These results are obtained using MATLAB^®, Simulink^®, and SimPowerSystems^®.     

基于组态软件火电厂实时监测系统的开发

利用SQL数据库访问技术,构建了组态王的开发环境,开发了火电厂实时监测系统。系统具有趋势曲线、报警、业绩考核及报表等功能,实现了机组运行状况和机组经济性能的实时监测。系统的开发有利于电厂的节能降耗与管理。     

Dynamic optimization of cryogenic distillation operation for hydrogen isotope separation in fusion power plant

Stable operation of a hydrogen isotope separation system is one of the most important issues in the sustainable operation of fusion power plants. Owing to the present limitation in retention time of fusion reaction, fusion reactors are run in repeated batch operations, causing large fluctuating flows in the system. Hence, to reliably produce required products, counteractive operational strategies must be devised. To this end, we perform dynamic optimization in this paper to derive an optimal control policy that can minimize the tritium inventory and satisfy the product quality specifications. In addition, a rigorous dynamic model for packed columns is developed to simulate realistic behaviors of cryogenic distillation. We demonstrate that the optimization results yield vital operational strategies, such as operation mode switching, without any expertise provided.     

Sensor value validation based on implicit sensor redundancy for reliable operation of power plants

This paper presents an innovative sensor value validation technique that can systematically explore the embedded sensor redundancies in power plants and utilize them in validating sensor values. The proposed technique uses the relationships existing among the sensor values, which is called causal relations (CRs) in this paper. A data structure called a sensor redundancy graph (SRG) is formulated to explore systematically the sensor redundancies existing throughout the plants. In the SRG, CRs are represented as nodes and two CRs having a common sensor are connected with an edge. The criteria are also provided for testing whether a given sensor relationship expressed as a CR holds with the actual measurement values. If the relationship holds, the necessary condition for the validities of the sensors participated in the CR is satisfied. A technique that can examine the compatibility of the precisions among the sensors in a CR for testing the usability of the given CR is also developed based on sensor precision indices and statistical inference. The proposed technique is applied to flow meter data provided from an actual super critical steam power plant and its application potential is demonstrated.