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Unit commitment considering dual-mode combined heat and power generating units using integrated optimization technique

机译:考虑采用集成优化技术的双模式热电联产机组的机组承诺

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In this work, we have undertaken a dual-mode combined heat and power unit commitment model to address the optimum generation scheduling of the committed unit. The model formulation includes the backpressure and an extraction mode of cogeneration unit, which is having a diverse feasible operating region of operation. In backpressure mode, the energy generated from the combined heat and power unit depends on a fixed ratio of power and heat, while in extraction mode, this ratio is relatively relaxed that provides system flexibility as compared to other. Owing to the dynamic features of different generating units as well as combination of binary and continuous decision variables, the problem becomes mixed-integer nondeterministic polynomial hard optimization problem, hence an integrated optimization technique has been applied. The integrated optimization technique is a combination of binary successive approximation technique and civilized swarm optimization technique. The binary successive approximation as a local search technique is used to update the unit status, iteratively and global search technique 'civilized swarm optimization' are applied to search optimal generation schedule from the committed units. In order to measure the impact of a dual-mode combined heat and power unit on optimum generation scheduling and system flexibility, four test systems have been undertaken. It has been observed from results that total operating cost of the system during extraction mode of combined heat and power unit is less as compared to backpressure mode. It is also evident from the results, that system provides diverse flexibility in terms of power and heat capability, during the extraction and backpressure mode of operation.
机译:在这项工作中,我们采用了双模式热电联产承诺模型,以解决承诺单元的最佳发电计划。模型公式包括背压和热电联产装置的抽取模式,该热电联产装置具有多种可行的运行操作区域。在背压模式下,由热电联产装置产生的能量取决于电热的固定比例,而在抽气模式下,该比例相对宽松,与其他系统相比具有系统灵活性。由于不同发电机组的动态特性,以及二进制和连续决策变量的组合,该问题变成了混合整数不确定性多项式硬优化问题,因此应用了集成优化技术。集成优化技术是二进制逐次逼近技术和文明群体优化技术的结合。使用二进制逐次逼近作为局部搜索技术来更新单元状态,然后迭代地使用全局搜索技术“文明群优化”从提交的单元中搜索最佳发电计划。为了测量双模式热电联产机组对最佳发电计划和系统灵活性的影响,已进行了四个测试系统。从结果已经观察到,与背压模式相比,在热电联产机组的抽气模式下,系统的总运行成本更低。从结果还可以明显看出,该系统在抽气和背压运行模式下在功率和热容量方面提供了多种灵活性。

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