从长远规划看西北电网的调峰问题

本文从长远规划角度论述了西北电网的调峰问题，包括研究调峰时宜采用的负荷特性指标、对未来电网峰谷差的预测、电网联合调度水、火电厂峰谷差出力情况、解网运行的调峰出现的矛盾，目前调峰存在困难的原因、解决未来调峰问题的建议。透过问题的分析说明解决西北电网调峰问题的两大要素，一是加快水电建设步伐和水库的合理调度；二是加强电网建设与电网的联合调度。这两个问题处理好了，西北电网调峰问题将得到很好解决。     

福建电力发展与电网调峰运行技术经济性研究

合理结构的调峰电源对电网的安全稳定经济运行有着十分重要的影响和作用。针对未来10年福建省电力发展及其结构特点和用电负荷发展特性,分析各类电源调峰运行技术经济性,提出调峰电源合理结构及调峰运行方案和措施建议。     

三峡电站对华中电网调峰的影响分析

结合华中电网电源特点分析了电网调峰中存在的主要问题。在对三峡水电站初期到全部投产各阶段运行方式和调峰能力分析的基础上,详细分析了三峡水电站对民网调峰的影响,并提出了解决电网调峰问题的建议。     

PM浓淡燃烧器在400t/h锅炉上的应用

本文介绍水平方向浓淡燃烧器在黄岛电厂的实际应用,在燃烧贫煤时燃烧稳定,调峰能力强,适宜于电厂原有锅炉的技术改造。近年来随着电网装机容量的不断增加,电网峰谷差也越来越大,为缓和峰谷矛盾,供电部门一方面实施峰谷电价,加强用电管理,鼓励避峰用电,多用谷电;另一方面发电部门就要相应增加调峰机组。这给发电厂正常运行带来了困难。目前我省电网峰谷差已达2500MW,中小机组和燃油机组调峰和两班制运行已不能解决问题,今后将有越来越多的125MW机组和200MW机组加入调峰行列。     

西北电网中水电调峰问题

本文就电网负荷变化,存在峰谷差的必然规律,论述水电机组调峰运行的作用,分析西北水电在调峰存在的一些问题;并探索改善的措施和建议.     

关于西北电网调峰的问题

简述西北电网目前主要调峰电源、调峰方式及存在的问题。通过近期、远景系统负荷、峰谷差预测及调峰容量的平衡分析，提出解决西北电网调峰问题的措施，说明黄河上游水电开发对西北电网调峰的作用以及加快黑山峡河段水电开发的意义。     

核电厂运行与电网调峰

电网峰谷差越来越大,核电机组长期接带基本负荷运行。解决电网调峰问题,配套建设调峰电站是非常必要的。     

汽轮机组的调峰运行

采用数学规划理论,以京津唐电网调峰机组的平均供电煤耗率最低为目标函数,建立起优化数学模型,进行计算,探讨如何使汽轮机组合理地承担电网的调峰运行问题。并制订出与机组启停寿命损耗相适应的优化方案。     

电网调峰运行问题的探讨

该文分析了电网调峰问题的成因和现状;提出了调峰无重复、调峰成本最低、水电调峰优先和大机组调峰优先等原则;并论述了提高电网调峰能力可采取的措施,主要有积极推行峰谷丰枯电价政策、提高发电机组出力调节水平、加大水电站水库调度力度等;讨论了电网调峰所引发的运行和发展问题。     

风电并网下含核电受端电力系统调峰问题研究

[目的]随着风电装机规模和比重的不断提升,受风电反调峰特性的影响,含核电的受端电力系统(如广东电网)在汛期的调峰问题将更为凸显.为了保障多类型电源协调发展和电网的安全可靠运行.[方法]针对风电并网下含核电的受端电力系统调峰问题,在充分分析国内外核电机组参与调峰情况及其技术经济性的基础上,结合常规确定性调峰校核方法存在的...     

Short term and medium term power distribution load forecasting by neural networks

Load forecasting is an important subject for power distribution systems and has been studied from different points of view. In general, load forecasts should be performed over a broad spectrum of time intervals, which could be classified into short term, medium term and long term forecasts. Several research groups have proposed various techniques for either short term load forecasting or medium term load forecasting or long term load forecasting. This paper presents a neural network (NN) model for short term peak load forecasting, short term total load forecasting and medium term monthly load forecasting in power distribution systems. The NN is used to learn the relationships among past, current and future temperatures and loads. The neural network was trained to recognize the peak load of the day, total load of the day and monthly electricity consumption. The suitability of the proposed approach is illustrated through an application to real load shapes from the Turkish Electricity Distribution Corporation (TEDAS) in Nigde. The data represents the daily and monthly electricity consumption in Nigde, Turkey.     

基于LSTM神经网络与贝叶斯优化的电站风机故障预警

风机持续健康稳定运行是电站机组安全性与经济性的重要保障,故障预警技术对于提高风机运行可靠性和降低维护成本尤为重要。为此,本文提出一种基于长短期记忆(Long short-term memory,LSTM)神经网络与贝叶斯优化算法的早期故障预警方法,充分挖掘电站风机正常运行数据,采用LSTM网络挖掘多种参数的关联特性及历史数据的时序特性,建立风机运行状态预测模型。为了提高预测模型的精确度,利用贝叶斯优化算法优化并设定LSTM网络的最佳超参数组合。考虑模型预测偏离度的非平稳性和多极值特点,引入广义极值理论从正常运行工况中确定报警阈值,以实现设备的早期故障预警。最后,将所提出的算法应用于某燃煤电站引风机故障预警中。结果表明：贝叶斯优化算法优化后的LSTM神经网络不仅可以精确表征风机在正常状态下运行行为,同时能够准确地获取风机的故障信息,从而能够在故障发生前4 h发现异常,实现故障预警。     

基于贝叶斯优化的LSTM火电机组一次调频能力辨识方法

提升火电机组的一次调频能力辨识有助于辅助电网的调度,保证电网的安全稳定运行。提出一种基于贝叶斯优化算法(Bayesian optimization, BO)的长短期记忆网络(long short term memory, LSTM)一次调频能力辨识方法,实现火电机组的一次调频能力精确建模。首先对机组机理及参数之间的相关性进行分析,确立模型的输入特征变量,再利用贝叶斯算法对LSTM网络结构进行优化,得到一次调频能力辨识模型。以某600 MW燃煤火电机组为研究对象,将该模型与传统BP神经网络模型、未优化LSTM网络模型进行对比。结果表明：所提出的网络模型均方根误差分别降低了66.51%和34.83%,具有更高的模型精度。     

潘口水库蓄水运行对黄龙滩水电厂中长期发电调度的影响

堵河中下游的潘口水库正常蓄水运行后,将会对下游的黄龙滩水电厂发电调度产生较大影响。在潘口水库调度方式确定的情况下,利用有、无对比法,采用调度图和离散微分动态规划算法,研究了潘口水库正常蓄水运行后在丰、平、枯三个典型年对黄龙滩水电厂中长期发电调度的影响。结果表明,潘口水库的调蓄可明显提高平水年黄龙滩水电厂的发电量,降低其年发电耗水率;对于丰水年和枯水年,潘口水库调度期期初水位高于345 m时也可在一定程度上提高其发电效益;在潘口水库调度期期初水位低于345 m时,黄龙滩水电厂宜采用优化调度方式,并尽量提高其期初水位至245 m以上。     

Two Years of Performance Data for the World's Largest Photovoltaic Power Plant

The Carrisa Plains Photovoltaic Power Plant is the largest photovoltaic central station power plant in the world. The plant, interconnected to Pacific Gas and Electric Company's (PGandE's) transmission network, is owned and operated by ARCO Solar, Inc. This paper summarizes the plant's performance from January, 1984 to October, 1985. Performance is analyzed in terms of energy output, capacity factors, and match to PGandE's system load. The plant has been a reliable energy producer, has had high capacity factors during peak hours in the summer months, and has proven to be a good match to PGandE's peak system load.     

凝汽器泄漏问题的分析和解决方案

凝汽器是发电厂热力循环系统中的重要设备,其是否能够长期保持良好状况,将直接影响到发电设备的安全、稳定运行。介绍了凝汽器铜管产生腐蚀的原因及处理方案,以供相关专业人员参考。     

An ocean thermal energy conversion based system for district cooling,ammonia and power production

In this study, a novel Ocean Thermal Energy Conversion (OTEC) based tri-generation system that produces ammonia, cooling and power is developed and analysed. This OTEC plant operates on the naturally existing temperature difference that exists in various depths of the ocean. The OTEC plant used in this study is operated using a single-stage ammonia Rankine cycle. The discharge seawater from the condenser in the organic Rankine cycle is used to provide district cooling. Two different operation cases of the analysed system are considered, where for the first case 50% of the power produced is stored in the form of ammonia during the off-peak hours. The second case is for complete power production proposed for peak hours. For the case where 50% of the power produced (case 1) is used to produce ammonia the highest energy and exergy efficiency is found to be 1.37% and 56.17% respectively. As for the case where, only power is produced (case 2) the maximum energy and exergy efficiency of the OTEC plant is found to be 1.83% and 78.02% respectively. The corresponding maximum power production was 6612 kW and 13,224 kW for cases 1 and 2. The maximum hydrogen and ammonia production rate is found to be 94.35 kg/h and 534.7 kg/h at peak efficiency values. The cooling duty at the peak energy and exergy efficiency is found to be 64.4 MW where the condenser temperature is 11.38 °C.     

A time consistent risk averse three-stage stochastic mixed integer optimization model for power generation capacity expansion

We propose a multi-stage stochastic optimization model for the generation capacity expansion problem of a price-taker power producer. Uncertainties regarding the evolution of electricity prices and fuel costs play a major role in long term investment decisions, therefore the objective function represents a trade-off between expected profit and risk. The Conditional Value at Risk is the risk measure used and is defined by a nested formulation that guarantees time consistency in the multi-stage model. The proposed model allows one to determine a long term expansion plan which takes into account uncertainty, while the LCoE approach, currently used by decision makers, only allows one to determine which technology should be chosen for the next power plant to be built.A sensitivity analysis is performed with respect to the risk weighting factor and budget amount.     

中压配电网闭环运行的可靠性评估方法研究

鉴于中压配电网采用闭环运行可有效提高供电可靠性,在分析闭环运行的中压配电网接线模式对供电可靠性影响的基础上,通过改进最小割集法,克服传统方法无法直接获得闭环运行中压配电网主环路最小割集的问题,利用等效电源点和等效负荷点的概念对主环路分支节点求双向最小割集,从而提出一种适用于闭环运行的复杂中压配电网可靠性评估方法。通过对多种闭环运行接线模式的中压配电网算例进行可靠性评估,验证了改进的最小割集法可用于中压配电网闭环运行的可靠性评估,且对含多电源、多环及环间有联络的闭环运行的中压配电网可靠性评估具有普适性。     

对云峰水电站及其水库经济运行问题的研究

云峰水电站是中朝两国共同修建的国际电站。云峰电站及其水库的运行方式，受多种条件的制约和受多种因素的影响，存在一些国内电站所没有的特殊情况。本文通过对厂内经济运行问题和水库最优运行方式的研究，说明合理调度水库是提高水电站经济效益的主要途径。