利用多智能体系统优化燃料电池阵列能量管理

R. Roche, L. Idoumghar, B. Blunier, A. Miraoui
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引用次数: 11

摘要

随着最近模块化燃料电池发电厂的商业化,对固定式燃料电池的兴趣在过去几年中有所增长。这些能源的主要优点是与传统能源如燃煤和燃气发电厂相比,它们对环境的影响有限,同时,与间歇性能源相比,它们的控制能力也很好。然而,控制整个燃料电池阵列会导致类似火电厂运营商遇到的问题:如何优化这些单元的运行?本文描述了一种方法,以帮助达到更好的经济性能的燃料电池阵列,其中每个燃料电池的单独性能被考虑。该方法基于一个由多智能体系统、专家系统和优化算法组成的混合系统,以实现负荷的最优调度。通过启用存储和自动启动和停止燃料电池的能力,仿真结果表明,能源管理系统可以显着降低运行成本,并实现非常灵活的控制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimized fuel cell array energy management using multi-agent systems
With the recent commercialization of modular fuel cell power plants, the interest for stationary fuel cells has grown over the last years. The main advantages of these energy sources are their limited environmental impact compared to traditional power sources such as coal- and gas-fired power plants, and at the same time, their ability to be controlled, as opposed to intermittent energy sources. However, controlling an entire array of fuel cells causes problems similar to the ones encountered by thermal power plant operators: how can the operation of such units be optimized? This article describes a method to help reach a better economic performance for fuel cell arrays, in which the individual performance of each fuel cell is considered. The method is based on a hybrid system consisting in a multi-agent system, an expert system and an optimization algorithm for optimally dispatching the load. By enabling the use of storage and the ability to automatically start and stop fuel cells, simulation results show that the energy management system can dramatically reduce running costs, as well as enable a very flexible control.
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