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在阐述了广东省安排的小火电机组关停规模及分布的基础上,结合目前电源和电网建设及运行情况,从满足安全供电的角度,对“十一五”后三年规划电网的适应性及电源调峰能力进行分析,研究小火电机组关停对广东电网安全稳定运行的影响,并提出相应的措施和建议。 相似文献
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加快关停小火电机组对实现"十一·五"时期降低能源消耗和减少主要污染物排放的目标至关重要。根据安徽省关停小火电机组方案,2007年将关停机组容量1160MW,此时省内电力平衡将出现阶段性短缺,对安徽电网的安全稳定运行产生极大影响,需要结合实际情况进行研究分析。特别是关停机组均属运行年限较长的老机组,部分电厂还存在110kV供电线路,改造后是否会出现局部受电等问题值得进行研究。 相似文献
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针对我国目前大容量机组的投产和小容量机组的关停,漳泽发电厂由原来的基荷电厂改为调峰电厂.为适应网间潮流要求,机组运行工况发生了很大变化,产生了许多问题.着重对苏制215 MW燃煤机组在网间潮流调峰过程中如何选择最佳调峰方式,使变负荷调峰的参数达到优化、运行方式进行了较深入的分析,结合电网情况,确定了最佳调峰运行方式,对机组出现的若干问题给出了有建设性的结论. 相似文献
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基于电网现状进行潮流计算,对漳泽电厂机组关停引发的一系列问题进行分析,提出长治北部电网运行方式(包括检修方式)调整方案及应对措施,为电网规划提供依据。 相似文献
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对江油电厂老机组关停后的电网供电方案、无功配置情况和无功潮流运行情况进行了分析,提出解决无功平衡问题的技术措施和管理措施。 相似文献
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葛南直流控制保护系统在运行15年后进行了全面改造,无功控制有较大改进,根据优先级原则,防止部分交流滤波器组因故被切除后造成运行中的其它交流滤波器谐波过负荷,通过无功控制保证系统与换流站之间交换的无功功率在现有电网允许的范围内,通过投/切交流滤波器维持稳态交流电压在过压保护动作的水平以下,大大提高了交、直流输电系统的可靠性。 相似文献
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无功控制在南桥换流站的应用 总被引:2,自引:0,他引:2
葛南直流控制保护系统在运行15年后进行了全面改造,无功控制有较大改进,根据优先级原则,防止部分交流滤波器组因故被切除后造成运行中的其它交流滤波器谐波过负荷,通过无功控制保证系统与换流站之间交换的无功功率在现有电网允许的范围内,通过投/切交流滤波器维持稳态交流电压在过压保护动作的水平以下,大大提高了交、直流输电系统的可靠性。 相似文献
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基于变频保护功能的单片DC/DC变换芯片 总被引:1,自引:0,他引:1
设计并推出了一种具有变频保护功能的降压型单片DC/DC开关电源芯片。该芯片具有独特的过热、限流和短路保护功能,只需外接3只元件就可构成一个高性能的DC/DC开关电源。芯片的限流和短路保护功能分为两级:一级为降压限流,二级为降频截流。当输出短路时.占空比和工作频率同时变小.大大减小了短路电流和短路损耗,保证了用户系统的安全。当芯片工作温度过高时,芯片的过热保护电路将关断功率开关管,确保芯片安全可靠工作。仿真和应用实例证明了该芯片的可行性。 相似文献
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在深入发电企业调查的基础上,认真总结电力工业五年来发展的经验和教训,结合山西省实际,围绕制定《山西省“十一五”燃煤发电机组“关小上大”工作方案》,认真研究“加大关停小火电机组力度、着力电力工业结构调整”的技术经济政策,旨在为科学决策电力工业结构调整提供依据。 相似文献
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Hiroshi Sasaki Tomoki Yamamoto Junji Kubokawa Takeshi Nagata Hideki Fujita 《Electrical Engineering in Japan》2003,144(3):36-45
Unit commitment problem is an optimization problem to determine the start‐up and shut‐down schedule of thermal units while satisfying various constraints, for example, generation‐demand balance, unit minimum up/down time, system reserve, and so on. Since this problem involves a large number of 0–1 type variables that represent up/down status of the unit and continuous variables expressing generation output, it is a difficult combinatorial optimization problem to solve. The study at present concerns the method for requiring the suboptimum solution efficiently. Unit commitment method widely used solves the problem without consideration of voltage, reactive power, and transmission constraints. In this paper, we will propose a solution of unit commitment with voltage and transmission constraints, based on the unit decommitment procedure (UDP) method, heuristic method, and optimal power flow (OPF). In this method, initial unit status will be determined from random numbers and the feasibility will be checked for minimum start‐up/shut‐down time and demand‐generation balance. If the solution is infeasible, the initial solution will be regenerated until a feasible solution can be found. Next, OPF is applied for each time period with the temporary unit status. Then, the units that have less contribution to the cost are detected and will be shut down based on the unit decommitment rules. This process will be repeated until suboptimal solution is obtained. The proposed method has been applied to the IEEE 118‐bus test system with 36 generating units with successful result. © 2003 Wiley Periodicals, Inc. Electr Eng Jpn, 144(3): 36–45, 2003; Published online in Wiley InterScience ( www.interscience.wiley.com ). DOI 10.1002/eej.10187 相似文献
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Hiroshi Sasaki Yuuji Fujii Masahiro Watanabe Junji Kubokawa Naoto Yorino 《Electrical Engineering in Japan》1992,112(7):55-62
This paper studies the feasibility of applying the Hopfield-type neural network to unit commitment problems in a large power system. The unit commitment problem is to determine an optimal schedule of what thermal generation units must be started or shut off to meet the anticipated demand; it can be formulated as a complicated mixed integer programming problem with a number of equality and inequality constraints. In our approach, the neural network gives the on/off states of thermal units at each period and then the output power of each unit is adjusted to meet the total demand. Another feature of our approach is that an ad hoc neural network is installed to satisfy inequality constraints which take into account standby reserve constraints and minimum up/down time constraints. The proposed neural network approach has been applied to solve a generator scheduling problem involving 30 units and 24 time periods; results obtained were close to those obtained using the Lagrange relaxation method. 相似文献