Non-dominated sorting culture differential evolution algorithm for multi-objective optimal operation of Wind-Solar-Hydro complementary power generation system

Due to the intermittency and instability of Wind-Solar energy and easy compensation of hydropower, this study proposes a Wind-Solar-Hydro power optimal scheduling model. This model is aimed at maximizing the total system power generation and the minimum ten-day joint output. To effectively optimize the multi-objective model, a new algorithm named non-dominated sorting culture differential evolution algorithm(NSCDE) is proposed. The feasibility of NSCDE was verified through several well-known benchmark problems. It was then applied to the Jinping Wind-Solar-Hydro complementary power generation system. The results demonstrate that NSCDE can provide decision makers a series of optimized scheduling schemes.

New Maintenance Strategies for Generating Companies in Power Market

A new approach to maintenance scheduling of generating units(MSU)in competitive electricity markets was presented,which was formulated as a noncooperative game with complete information.The payoff of each generating company(Genco)was defined as the profit from the energy auction market minus maintenance cost and risk loss.The compensation fee of interruptible load was a part of the maintenance cost when the permitted maintenance capacity in the system was insufficient.Hourly energy auction was incorporated in the computation of both revenues from energy market and risk loss of maintenance strategy as a nested game.A new heuristic search algorithm for the calculation of the game equilibrium of MSU was presented,which coordinates the solutions of non-equilibrium,unique equilibrium and multiple equilibria.Numerical results for a two-Genco system and a realistic system were used to demonstrate the basic ideas and the applicability of the proposed method,as well as its computational efficiency.

A method of parsing based on improving the electricity behavior and regulating excitation system of the diesel generating set in the nuclear power plant

This paper introduces an applicable test plan for emergency diesel generator in nuclear power plant. It advances improvement approaches with problems found during field commissioning test and its trouble-shooting processes. The method is based on the integration of complementary through, the extension theory of matter-element model and neural network theory combine to overcome a neural network to learn shelters, and other defects. The purpose of this paper is to provide the better running and commissioning experience for the similar emergency generator unit.

Analysis on Operation Reliability of Generating Units in 2009

This paper presents the data on operation reliability indices and relevant analyses toward China's conventional power generating units in 2009.The units brought into the statistical analysis include 100-MW or above thermal generating units,40-MW or above hydro generating units,and all nuclear generating units.The reliability indices embodied include utilization hours,times and hours of scheduled outages,times and hours of unscheduled outages,equivalent forced outage rate and equivalent availability factor.

Hydro and Wind Power Integration: A Case Study of Dargai Station in Pakistan

Pakistan is facing acute energy crises since last few years. Due to shortage of fuel oil and its sky touching prices, it seems very uneconomical to generate electricity from fuel oil. In order to generate cheap electricity we have to rely on renewable energy resources. To address these challenges, wind power generation is among the popular options in the world which is now being considered in Pakistan as well. However unremitting change in wind speed from calm to stormy introduces real challenges. Storing wind energy in batteries during the periods of low demand seems an expensive option, especially when dealing with large scale power generation. Due to incessantly varying nature of wind speed, it is not feasible to rely only on wind power for cheap power production. Also, it is not thriftily possible to construct separate transmission line. However if we integrate wind power with hydro power, we can utilize the maximum possible transmission capacity. Existing hydro power station operating in that area or pumped storage scheme can be used. This paper is an attempt to analyze coordination of wind generation with hydro power in those areas of Pakistan where both wind and hydro power sources exist. In this paper, different issues have been analyzed taking case study of Dargai. This paper is first attempt in Pakistan about integration of wind and hydro power to draw some general conclusions and to point out some areas in which further research can be done.

Development of a Full Parameterized FE-modeling Tool for Efficient Vibration Investigations on End Windings of Turbo- and Hydro-Generators

End windings of generators are excited to vibrations due to electromagnetic forces which can cause severe damage and noise. To avoid this, it is important to predict the natural frequencies and modes of the end windings with finite elements. Due to the complex structure and unknown boundary conditions, the conventionally calculation of stator end windings has been very difficult and time consuming up to now. This paper describes the development of a full parameterized modeling tool, which allows a quick calculation of natural frequencies during the design phase of the generator. To keep the computing time low, it is important to find a way to get exact calculation results without detailed modeling of all pans. Additionally, special attention was paid to the active part, which has been replaced by spring-damper elements, and the determination of their stiffness via experimental modal analysis combined with finite element calculations.

基于改进KNN算法的新能源发电单元运行状态识别

目前识别发电单元运行状态的研究较少,数据来源以数据采集与监控系统为主,采集速度较慢。为此,提出了一种基于发电单元机端电气量数据并融合改进k近邻(KNN)算法的新能源发电单元状态识别方法,直接采集机端电气量数据用于快速判断发电单元状态。提出KNN算法的改进策略,克服了传统KNN算法准确度低、识别速度慢的缺点。利用电力系统分析综合程序获取用于状态识别的发电单元机端电气量数据,利用改进策略对数据进行预处理,并对比传统KNN算法、逐条使用改进策略的KNN算法对新能源发电单元状态识别的耗时与准确度。结果表明所提算法较传统算法的识别准确度和速度明显提升,能满足稳定控制过程中对新能源发电单元的状态感知需求。

考虑太阳能辅助碳捕集技术的综合能源生产单元随机低碳调度策略

为解决综合能源生产单元(integrated energy production unit,IEPU)中燃煤机组碳捕集过程的高能耗问题,同时应对新能源不确定性对运行调度带来的挑战,该文提出一种考虑太阳能辅助碳捕集技术的IEPU随机低碳调度策略,旨在实现IEPU的多能协同与低碳运行。首先,对含太阳能辅助碳捕集热电联产单元(combined heat and power based on solar-assisted carbon capture,CHP-SACC)的能量流动与运行机理进行分析,并构建其运行模型;其次,考虑风电不确定性带来的影响,提出一种基于条件最小二乘生成对抗网络(conditional-least squares generative adversarial networks,C-LSGANs)的可再生能源场景生成方法来提高场景的生成质量;然后,考虑异质能流耦合约束、多元设备运行约束以及能量平衡约束等,以最大化系统运行收益期望为目标构建IEPU随机低碳调度模型;最后,在算例仿真中设置不同的运行策略验证所提低碳转型方案的有效性,并分析了能源价格、设备容量等因素对系统运行收益的影响。

超高层建筑综合体消防负荷供配电系统设计

结合现行国家、行业及地方规范、标准,对超高层建筑综合体的消防负荷供配电系统、柴油发电机选择等设计方法及设计要点进行详细探讨。

大规模风电接入场景下的失步振荡中心定位方法

振荡中心的准确定位是失步保护正确动作的基础,大规模风电并网导致系统阻抗参数发生变化,使得传统基于阻抗轨迹的失步定位方法的适应性严重下降。针对该问题,提出基于节点频差的失步振荡中心定位方法。首先分析大规模风电并网对系统总阻抗的影响。进一步根据发电机功角,计算其曼哈顿距离相似度并构建启动判据。最后,通过移动平均法对广域测量频率进行平滑处理,提出基于节点频差的失步振荡中心定位方法。仿真验证表明,所提基于节点频差的失步振荡中心定位方法受噪声影响较小,不受风电渗透率的影响,能够准确定位失步振荡中心位置。

考虑避振条件的水风光互补发电系统运行经济性评估

为更加全面、准确评估水电机组在风光水互补发电系统中的经济性表现,本文将水电机组寿命损耗成本纳入机组运行成本,建立以机组运行成本最小、发电量最大、功率负荷偏差最小为目标的风光水互补发电系统经济性评估模型,充分考虑水电机组运行策略的区别,对比机组避振与不避振运行时的系统经济性特征与机组运行特点。基于NSGA-Ⅱ智能优化算法对模型求解,以国内某清洁能源基地为例分析了风光典型出力场景下系统运行经济性。研究结果表明,相比水电机组不避振运行,采用避振运行方式的水风光互补系统虽然发电量和功率与负荷偏差均值分别降低了0.09%(0.02 GWh)和2.10%(1.89 MW),但运行成本均值下降了0.24%(1.71万元)。综合来看,在发电量未有明显提升的情况下,虽然功率与负荷偏差方面不避振运行方式表现较为优越,但由于机组疲劳损耗导致的运行成本显著增加、机组安全问题突出,其综合经济性表现不如避振运行方式。该研究对于优化水风光互补系统中水电机组的运行方式,提高互补发电系统整体经济效益有一定指导意义。

槽式太阳能辅助燃煤发电系统集成方式

针对某600 MW超临界发电机组,提出3种槽式太阳能辅助燃煤机组发电(SAPG)系统的集成方式.第1种为太阳能场并联取代高压加热器,第2种为太阳能场高压串联取代高压加热器,第3种为太阳能场低压串联取代高压加热器.利用Matlab编程建立槽式太阳能辅助燃煤电厂发电的仿真模型,在功率增大模式(PB模式)下仿真计算不同的集成方式热力性能,对3种集成方式下系统的太阳能发电量、光电转换效率、标准煤耗率等指标进行对比分析.结果表明,SAPG系统的3种集成方式随着太阳法向直接辐照度EDNI的增大,太阳能引入规模达到峰值为192.37 MW,太阳能发电量为59.55 MW,光电转换效率达到20.10%,标准煤耗率最低为264.44 g/(kW·h).当EDNI≤482 W/m2时,低压串联的集成方式下太阳能发电量、光电转换效率、标准煤耗率等指标均优于高压串联及并联集成的方式;当EDNI≥482 W/m2时,并联集成方式的热力性指标均优于其他2种集成方式,高压串联的集成方式热力性能指标最低.

考虑外送输电容量限制的梯级水光互补日前鲁棒调峰调度方法

水光联合外送可促进新能源消纳,但光伏出力预测的不确定性会影响水光互补优化调度的经济性和安全性。提出一种考虑外送输电容量限制的梯级水光互补联合发电系统日前鲁棒调度方法。考虑光伏出力不确定性,构建水光互补联合发电系统的日前调峰鲁棒优化调度模型,该模型以最小化受端电网剩余负荷峰谷差为目标,计及梯级水电的上、下游水力耦合约束。采用高效线性化方法对梯级水电运行的非线性模型进行处理,并利用对偶方法实现鲁棒模型的确定性转化。算例仿真结果表明,利用所提方法制定的梯级水电发电计划能充分考虑光伏出力的不确定性,兼顾联合发电系统调峰效果和光伏消纳,实现梯级水电和光伏的互补运行。

煤电行业建设项目碳排放环境影响评价技术方法研究:以黄河流域为例

煤电行业是黄河流域内二氧化碳和大气污染物排放的主要来源,将煤电行业碳排放影响评价纳入环境影响评价体系,能够有效助推黄河流域实现减污降碳协同增效.本文以煤电行业碳排放主要影响因素为基础,设计了能够涵盖碳排放全过程的评价指标体系,并结合先进技术、标准规范要求等设定差异化评价基准,构建以约束评价为主、兼顾指导性评价的评价方法,并采用评价方法中的核心评价指标碳排放绩效,对黄河流域现役煤电机组和“十四五”期间新增煤电机组进行碳减排潜力分析.结果表明,通过优化项目设计可实现流域内现役煤电机组碳排放量下降12.7%,“十四五”期间新建煤电机组碳排放增量下降27.1%,其中新增煤电机组装机占比较高的内蒙古自治区、陕西省可实现新增煤电机组碳排放分别下降30.7%和23.0%.研究显示,黄河流域内碳减排潜力大,建议针对黄河流域内碳排放绩效水平较差的特点,从燃煤小机组淘汰、低碳清洁燃料替代等方式推动煤电行业综合治理,建立协同技术相关指标数据管理台账,出台火电行业碳排放影响评价指南,为煤电行业新增建设项目减污降碳协同增效提供有力有效的政策工具.

面向燃气机组调峰的天然气管网动态安全域

燃气机组调峰的灵活性有助于提升可再生能源消纳水平,但所造成的管道压力剧烈波动却为天然气管网引入新的安全风险。该文提出一种面向燃气机组调峰的天然气管网动态安全域,以表征满足动态管流安全的燃气机组有功调整量的集合。首先,分析以时域连续的气负荷质量流率作为注入空间的天然气管网动态安全域难以实用化的原因。为此,提出将燃气机组进气口质量流率转化为有功调整量的函数,定义以初始运行点为基准、以各燃气机组有功调整量为注入空间的天然气管网动态安全域。为兼顾计算精度和效率,基于时空正交配置法对管网连续变量进行近似离散,建立安全域边界搜索优化模型。并进一步揭示天然气管网稳态安全域可通过松弛该优化模型中部分约束条件求解得到,为动态安全域的一种退化形式。算例结果表明,所提方法克服天然气管网稳态安全域对于日内安全分析过于乐观的局限性,有助于增强电力-天然气耦合系统的协同态势感知能力。

新型双定子无刷双馈风力发电机直接功率控制

新型双定子无刷双馈发电机包括内外功率绕组和内外控制绕组,二者分别通过中间带隔磁环的背靠背笼障转子进行磁场耦合。针对该新型双定子无刷双馈风力发电机提出一种直接功率控制方法,内外功率绕组及内外控制绕组分别串联以保持各自同相绕组的电磁一致性,将功率绕组有功和无功功率滞环比较器输出值及控制绕组磁链扇区号综合,采用查找表得到控制绕组机侧变流器所需输出的电压空间矢量。通过定量对比研究12/8极50 kW样机控制系统阶跃信号作用下的特性仿真与实验结果,验证了所提双定子无刷双馈风力发电机直接功率控制在亚同步~超同步速度变化范围内变速恒频发电、最大功率跟踪、无功功率与单位功率因数控制等方面的正确性、可行性和有效性。

白鹤滩百万千瓦水轮发电机组转轮动应力特性研究

转轮是白鹤滩水电站百万千瓦水轮发电机组研发难度最大和制造难题最多的核心部件,为有效预防转轮裂纹,选择白鹤滩水电站右岸#12机组作为研究对象,探索百万千瓦水轮机转轮动应力测量方法,研究运行稳定性和转轮动应力特性,揭示机组转轮动应力真实分布规律,用于指导机组在合理运行区运行,延长叶片使用寿命,提高机组运行可靠性。白鹤滩水电站#12机组稳定性和动应力测试分析表明,机组机械部分制造和安装质量优良,运行稳定性表现优秀;转轮叶片动应力在全负荷范围内保持在较低状态,远低于材料的许用应力值,甩负荷等过渡过程产生的动应力幅值大于稳定工况动应力幅值;稳定工况下,转轮叶片动应力典型频率成分为1.785、42.84、0.45 Hz,这分别是机组转频、24倍转频和涡带频率,对应的动应力分量由蜗壳内非轴对称速度干扰叶片进口流动、活动导叶出口的不均匀流场干扰叶片进口流动和涡带尾水压力脉动引起。