首页 | 本学科首页   官方微博 | 高级检索  
相似文献
 共查询到20条相似文献,搜索用时 109 毫秒
1.
为合理评估大型流域梯级水电站群发电运行对水资源的消耗,以金沙江中游梯级水电站群为例,提出了不同调度模式下梯级水电站群发电运行的水足迹研究方法,基于负荷曲线单独运行、负荷曲线联合运行、发电量最大联合运行三种调度模式下的短期优化调度结果,分别计算获得运行阶段的水足迹,并分析了不同调度模式对水足迹的影响。结果表明,水足迹能直观地反映梯级水电站群发电运行对水资源的消耗,梯级水电站群可改变调度模式来降低其发电运行的水足迹。  相似文献   

2.
根据华中区域大规模电站群跨省电力输送运行实际,针对水电站群优化调度需兼顾多电网调峰需求、电站出力计划编制复杂问题,提出了一种多级协同模式(MLCM)下大规模水电站群跨网调峰调度方法。以各受端省级电网余荷均方差最小为目标建立电站群联合跨网调峰调度模型,通过流域梯级电站群层级排序获得电站优化次序,简化电站间复杂耦合关系,将约束处理耦合至电站出力网间二次分配过程中,逐步迭代调整各受电网受电计划,获得满足多电网调峰需求的电站出力计划与电网受电过程。所提方法通过华中区域三葛梯级、清江梯级、沅水梯级水电站群调度模拟得到验证,应用结果显示电站出力计划在兼顾多电网调峰需求的同时充分发挥了水电站群联合调峰容量效益,具有工程实用价值。  相似文献   

3.
贵州电网梯级水电站群联合调度运行方式研究   总被引:3,自引:0,他引:3  
基于传统电站调度图,构建了系统蓄能与系统总出力的关系,以贵州电网梯级水电站群历史流量数据为例,并分别以多年平均发电量最大、系统不蓄能期望最大为优化调度方式、负荷优化分配对调度规则各变量进行整体寻优,获得了水电站群联合调度方式.检验结果表明,该运行方式可确保电网和水电系统安全高效运行,可供借鉴.  相似文献   

4.
立足电网水电站群短期优化调度的业务特点及应用需求,提出电网水电系统短期优化调度的多模型转化机制及其运用准则,为水电站群的日计划方案编制提供决策支撑;以水电能源的高效利用和电力系统的电力电量平衡为基础,建立了相互关联的短期优化模型体系,重点阐述了电网水电站群可用水量与水电负荷需求的协调关系。国网直调水电系统的计算结果表明,多模型转化机制能准确体现电网的不同调度意图,并获得对应的水电站群负荷控制策略。  相似文献   

5.
针对传统梯级水电站群联合优化调度中未考虑梯级送电负荷与所送电网负荷趋势相匹配的问题,考虑多电网负荷趋势,提出了一种基于逐步优化算法的多电网负荷过程拟合误差最小与中长期发电量最大的耦合模型。实例计算结果表明,该模型对梯级发电量及其与多电网负荷趋势的拟合均取得了较好的效果,可提高梯级水电站发电计划的实用性。  相似文献   

6.
针对黄河龙羊峡光伏电站与水电站联合运行短期调度的可行性问题,建立调峰能力最大数学模型,提出基于模拟优化思想的模型求解方法。通过反推机组的最大技术出力论证水光互补对系统调峰能力以及水电站群短期水量调度的影响。实例研究表明:水-光电联合运行短期内可进一步提高系统的调峰能力,且对下游梯级水电站群的日水量调度基本无影响。  相似文献   

7.
鉴于梯级水电站优化运行的高复杂度、强非线性、多约束等特点,构建了基于峰谷分时电价下的梯级水电站日最大发电效益模型。针对遗传算法(GA)等传统智能算法对复杂模型求解易陷入局部最优的问题,提出一种水循环算法(WCA)与水位廊道约束耦合、降低约束复杂度、规范寻优空间的方法,并以湖北某梯级短期优化调度为背景进行建模仿真,将计算结果分别与GA和粒子群算法(PSO)所得结果进行比较。实例研究表明,WCA计算的总效益在丰、平、枯典型日分别比GA和PSO计算值约高5.65%、3.15%、0.80%,迭代收敛速度更快,求解能力更强,为解决梯级水电站优化调度问题提供了新思路。  相似文献   

8.
计及不确定因素的梯级水电站短期优化调度   总被引:1,自引:0,他引:1  
以一定时期内期望发电效益最大化为目标。采用马尔可夫链对梯级水电站机组未来调度时段的预想故障及上网电价进行概率预测。构建了一种新的梯级水电站短期概率优化调度的模型。并且采用服从正态分布的负荷波动来分析时变负荷对优化调度的影响。该模型全面考虑了梯级水电站蓄水量、弃水量、水位、发电引用流量等约束条件,实现了机组运行状态概率预测与优化调度决策的密切结合。利用微分进化算法鲁棒性强、搜索效率高的特点。与蒙特卡洛方法对模型进行求解。以一梯级水电站系统为例进行计算分析,表明所提出的模型合理和有效。  相似文献   

9.
大规模水电站群联合优化调度运行对于水电厂自身和电网安全稳定运行至关重要,需制定高效实用的水电站短期发电计划指导其运行。因此,该系统研发了一套基于B/S模式的短期水电优化调度系统,阐述了该系统的总体功能设计和关键实现技术。系统应用表明,该系统具有友好的人机交互界面、良好的健壮性和可扩展性,为制定短期水电系统联合优化发电计划提供了便利。  相似文献   

10.
流域水电站群短期优化调度的均匀用水最小模型   总被引:2,自引:0,他引:2  
根据流域水情及电网调度特点,提出了水电站群短期优化调度的均匀用水最小目标函数,并在考虑实际运行的各种约束因素的情况下,建立了相应的优化调度模型和提出了优化算法,实践表明,该模型优化效益显著。  相似文献   

11.
针对风光并网会降低系统惯量、削弱系统调频能力的问题,综合考虑水电机组同步惯量、风电场和光伏电站的虚拟惯量和下垂控制作用,提出含风光水的多机系统动态频率响应模型,推导系统频率变化率约束、最低点频率偏差约束和准稳态频率偏差约束。基于此,为实现清洁能源利用最大化,以弃风、弃光、弃水最小及水库调度期末蓄能最大为目标,兼顾梯级水电、风电、光伏和发电系统的多种运行约束,构建风光水互补发电系统短期优化调度模型,并使用混合整数线性规划方法进行求解。最后通过算例仿真验证所提模型的有效性和适用性。  相似文献   

12.
To analyze the challenge of large-scale integration of renewables during the next decades, we present a conceptual power system model that bridges the gap between long term investment allocation and short-term system operation decisions. It integrates dynamic investments in generation, transmission and storage capacities as well as short-term variability and spatial distribution of supply and demand in a single intertemporal optimization framework. Large-scale grid topology, power flow distributions and storage requirements are determined endogenously. Results obtained with a three region model application indicate that adequate and timely investments in transmission and storage capacities are of great importance. Delaying these investments, which are less costly than investments in generation capacities, leads to system-wide indirect effects, such as non-optimal siting of renewable generation capacities, decreasing generation shares of renewables, increasing residual emissions and hence higher overall costs.  相似文献   

13.
Global warming is one of the most alarming phenomena facing our planet today. There is a consensus among scientists that human-induced greenhouse gases (GHGs) should be regulated to slow down the heating of the Earth's oceans and atmosphere. As a major GHG producer, the electricity industry's emissions should be considered in any global emission regulation policy initiative. This paper develops an original equilibrium model for a cap-and-trade emission regulation scheme (CAT) applied to an oligopolistic electricity market. The model accounts for the strategic behavior of power companies under emission regulation and explicitly illustrates how this behavior is influenced by the scheme design. The model respects the electricity sector's emission targets over a commitment interval while accounting for the effect of these targets on the hourly operation of electricity markets, given hourly variations in system demand. Simulation results over different demand levels show that the model of the proposed policy is successful in meeting short-term emission targets by dispatching generation based on privately owned power generating companies' (Gencos') generation costs and emission intensities. The results signify the importance of accounting for the effects of hourly permit trading on hourly market clearing and hourly gaming strategies when studying the allocation of commitment interval permits among Gencos.  相似文献   

14.
Hybrid energy storage systems (HESSs) help mitigating the fluctuations and variable availability of certain renewable sources, such as wind power, as they can provide support in different time scales. Therefore, regulating their state-of-charge (SOC) becomes crucial to ensure that the hybrid system complies with generation commitments agreed in time-ahead markets despite subsequent unexpected wind speed variations. So far, research has been mainly targeted at avoiding extreme SOC situations in the storage devices, whereas the regulation of this parameter to specific values has often been disregarded. A novel approach is proposed in this work, where model predictive control (MPC) is used to regulate the SOC of a HESS under variable wind and grid demand scenarios. The MPC-based supervisory controller developed for the hybrid system has been implemented and simulated under different situations. This controller monitors the future variation of the SOC with the aim of having the HESS available to develop its assigned functions successfully. The results show that a proper regulation of the SOC in the HESS increases the capacity to manage the active power supplied to the grid by the hybrid system based on wind power, as well as the level of compliance with generation commitments established time ahead.  相似文献   

15.
针对光伏发电功率时间序列随机性和波动性强的特点,提出一种基于Kmeans和完备总体经验模态分解(CEEMD)、排列熵(PE)、长短期记忆(LSTM)神经网络结合的短期光伏功率预测模型。先通过Kmeans算法选出预测日的相似日;然后采用CEEMD将发电功率和影响因素数据的原始序列分解为多个固有模态分量,并用排列熵算法对模态分量进行重构;最后对重构后的子序列分别进行LSTM建模预测,再将子序列预测结果叠加起来确定光伏发电功率预测值。试验结果表明,所提预测模型与单独的LSTM预测模型和EMD-PE-LSTM预测模型相比,功率预测精度明显提高,为电网调度提供了一定参考。  相似文献   

16.
This paper explores the trends in the deployment and integration of distributed generation in Germany, Denmark and Sweden. The study concentrates on the regulation of renewable energy generation with a focus on grid access and connection mechanisms. The high rate of distributed generation penetration is mainly based on the early support that these countries gave to the expansion of renewable energy generation – mainly wind and solar – within their respective national policies. Germany and Denmark are the ones with the most sophisticated support schemes, which have shown a dynamic design over time. In terms of connections, Germany has the most favorable connection regime which provides not only priority connection but also priority grid access for generation units that produce electricity from renewable energy sources. Sweden guarantees equal treatment among different technologies (i.e. a non-discrimination principle). High connection costs have been observed specially in Germany and Denmark. The costs of network upgrades are usually socialised across demand customers. However, integration issues should be taken into consideration in order to avoid expansion of distributed generation in a way which unnecessarily raises total system costs, via high connection costs.  相似文献   

17.
针对大规模间歇式能源的接入对系统调频控制带来的困难,利用MATLAB/Simulink建立了适用于大规模间歇式能源接入的互联电网调频仿真模型,对传统的调频模式调整了一次调频参数,采用了人工智能算法AGC的PI控制器和动态AGC机组的发电分配系数,并将间歇式能源预测误差计入区域控制误差中。仿真算例结果表明,改进的调频模型在系统功率大范围随机波动下的调节效果优于传统模型,更有利于系统吸纳间歇式能源,为间歇式能源接入容量和系统备用容量的选取提供了频率动态响应上的依据。  相似文献   

18.
This paper examines reports on work carried out for the European Commission to devise a methodology for estimating the potential impact of smart grids on carbon emissions. It first identifies functionalities that enable carbon benefits to be realised. Each functionality on the demand side is assumed to be mirrored on the supply side, as when dynamic peak shifting ‘replaces’ flexible peak generation. Metrics are developed to describe the state of markets and to estimate customer response to demand response initiatives. Quantitative analysis identifies where the greatest scope for emissions reduction lies, while qualitative assessment indicates where to expect more or less impact from smart grid deployment. The impact of smart grid functionalities by 2020 is then modelled for six representative EU markets (Austria, France, Germany, Great Britain, Portugal and Spain), using a detailed pan-European market model and also a high-level ancillary services model. Three scenarios are developed: baseline, in which no smart grid rollout is assumed; feasible, based on what could be achievable in the light of technology developments and with supportive legislation; and an intermediate expected scenario, in which new technologies are introduced but nothing else changes. The findings indicate the potential for emissions reductions by 2020. They also show that the potential is very unlikely to be reached without regulatory support for user engagement in demand response and demand reduction, along with enabling technology and programmes. Development of regulatory frameworks that allow full advantage to be taken of the new technologies emerges as a challenge for smart grid development.  相似文献   

19.
鉴于不同类型分布式电源接入配电网的位置及注入容量对系统潮流分布的影响,主要体现在能源的梯级利用率、电网规划成本、供电可靠性和电能质量等方面,在配电网规划建设期间建立各种分布式电源(DG)的出力模型,综合考虑需求侧的经济利益,建立以用户侧的投资运行成本和网络损耗费用最小为优化目标的函数,采用蚁群算法对函数进行求解得到优化的位置和容量。算例分析表明,该方法可以得到较为合理的方案,并可有效降低系统网损、节点电压偏差,提高需求侧的经济效益和电能质量。  相似文献   

20.
Demand response is considered to be a realistic and comparatively inexpensive solution aimed at increasing the penetration of renewable generations into the bulk electricity systems. The work in this paper highlights the demand response in conjunction with the optimal capacity of installed wind energy resources allocation. Authors proposed a total annual system cost model to minimize the cost of allocating wind power generating assets. This model contains capacity expansion, production, uncertainty, wind variability, emissions, and elasticity in demand to find out cost per hour to deliver electricity. A large‐scale electric grid (25 GW) is used to apply this model. Authors discovered that demand response based on interhourly system is not as much helpful as demand response grounded on intrahourly system. According to results, 32% wind generation share will provide the least cost. It is also worth noting that optimal amount of wind generation is much sensitive to installation cost as well as carbon tax.  相似文献   

设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号