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首页> 外文会议>ASME(American Society of Mechanical Engineers) International Mechanical Engineering Congress: Advanced Energy Systems Division; 20031115-20031121; Washington,DC; US >OPTIMUM MANAGEMENT OF COGENERATION POWER PLANTS WITH THERMAL STORAGE IN DAY-AHEAD ELECTRICITY MARKETS
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OPTIMUM MANAGEMENT OF COGENERATION POWER PLANTS WITH THERMAL STORAGE IN DAY-AHEAD ELECTRICITY MARKETS

机译：日前市场中具有热存储的热电厂的优化管理

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摘要

The development of proper tools for power plants production planning is becoming crucial to profitably compete in a deregulated market scenario. Two numerical techniques, the former based on the dynamic programming, the latter on an original real-coded genetic algorithm, are suggested in this paper to optimize the management of cogeneration power plants with thermal storage. Detailed mathematical models are required to simulate plant part-load performance in order to evaluate possible operation plans profitability. Electricity price trends, forecasted from market analyses, are used as input data. Technical constraints and those derived from the market characteristics are included in the optimization problem. The suggested approaches are applied to some possible market situations, typical of different seasons and competition intensities. Results obtained are compared in terms of accuracy and resolution time. Iterative analyses are also performed to assess possible management flexibility improvements resulting from different design choices of the cogeneration system.
机译：为电厂生产计划开发合适的工具，对于在放松管制的市场环境中赢利竞争至关重要。本文提出了两种数值技术，前者基于动态规划，后者基于原始的实数编码遗传算法，以优化带蓄热的热电联产电厂的管理。需要详细的数学模型来模拟工厂的部分负荷性能，以便评估可能的运营计划的盈利能力。根据市场分析预测的电价趋势被用作输入数据。优化问题中包括技术约束和源自市场特征的约束。建议的方法适用于某些可能的市场情况，通常是不同季节和竞争强度的情况。比较获得的结果的准确性和解决时间。还进行迭代分析，以评估由于热电联产系统的不同设计选择而可能带来的管理灵活性的提高。

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