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Multicriteria optimization of the investment in the auxiliary services of thermal power plants: A case study

机译：火电厂辅助服务投资的多准则优化：案例研究

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Thermal power plants have traditionally operated at rated power as base load, but nowadays they operate at partial loads because of the new situation of the electricity market. These plants have raised their auxiliary services consumption because, in most of the cases, the auxiliaries were not designed to efficiently operate at partial loads. This paper presents a multiple criteria study about the efficiency improvement of the auxiliary services. We consider the economic investment and the net present value, as economic criteria, together with the energy saving criterion. In the multiobjective model proposed, the energy model is validated using several measures taken in a 1100 megawatts coal power plant. Besides, the multiobjective problem associated to the case study considered is solved using evolutionary multiobjective optimization and considering preference information. The results obtained conclude that a significant efficiency improvement of the auxiliary services can be achieved by means of the improvement strategies considered. Indeed, the high net present values reached indicate that the investments required by the different solutions are really profitable from the economic perspective. Therefore, investing money in the efficiency improvement of the auxiliary services represents a very profitable option for improving the operation of power plants at partial loads. (C) 2015 Elsevier Ltd. All rights reserved.
机译：传统上，火力发电厂以额定功率作为基本负荷运行，但如今，由于电力市场的新形势，它们以部分负荷运行。这些工厂增加了辅助服务的消耗，因为在大多数情况下，辅助设备的设计不能有效地部分负荷运行。本文提出了关于辅助服务效率提高的多准则研究。我们将经济投资和净现值视为经济标准，同时考虑节能标准。在提出的多目标模型中，使用在1100兆瓦燃煤电厂中采取的几种措施对能源模型进行了验证。此外，使用进化多目标优化并考虑偏好信息来解决与所考虑的案例研究相关的多目标问题。获得的结果得出结论，可以通过考虑改进策略来实现辅助服务的显着效率改进。确实，达到的高净现值表明，从经济角度来看，不同解决方案所需的投资确实是可获利的。因此，将钱投资于辅助服务的效率改善是改善电厂部分负荷运行的非常有利的选择。 （C）2015 Elsevier Ltd.保留所有权利。

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