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Enhancement of thermal unit commitment using immune algorithms based optimization approaches

机译：使用基于免疫算法的优化方法增强热单元的承诺

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摘要

A new approach using immune algorithms to solve thermal generation scheduling problems is proposed in this article. In the proposed scheme, the objective functions and constraints were categorized as antigens. The antibodies for the immune system were determined through the calculation of affinity. For an antibody that is perfectly combined with the antigen, this antibody is deemed the solutions to the problem. With the embodiment of affinity computation, the possibility of stagnation in the iteration process was decreased. The computational performance can be also enhanced. The proposed method was tested on a practical Taiwan Power System (Taipower) through the utility data. The test results demonstrated the feasibility of this method for unit-scheduling applications.
机译：本文提出了一种使用免疫算法解决火力发电调度问题的新方法。在提出的方案中，目标功能和约束被归类为抗原。通过计算亲和力确定免疫系统的抗体。对于与抗原完美结合的抗体，该抗体被视为解决问题的方法。通过亲和力计算的实施例，减少了迭代过程中停滞的可能性。计算性能也可以得到增强。通过实用数据，在实际的台湾电力系统（Taipower）上对提出的方法进行了测试。测试结果证明了该方法在单元调度应用中的可行性。

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