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基于人工蜂群算法的微电网分布式发电的最优能量管理。

Optimal energy management of distributed generation in micro-grids using artificial bee colony algorithm.

机构信息

Department of Electrical Engineering, Jouybar Branch, Islamic Azad University, Jouybar, Iran.

Department of Electrical and Electronics Engineering, Faculty of Engineering and Architectures, Nisantasi University, Istanbul, Turkey.

出版信息

Math Biosci Eng. 2021 Aug 30;18(6):7402-7418. doi: 10.3934/mbe.2021366.

Abstract

The use of renewable energy sources in energy distribution networks as distributed generation sources for dispersed and low consumption loads in remote areas such as remote villages and islands with low population can be a proper solution for reducing economic costs, reducing environmental pollutions and increasing energy efficiency. The purpose of this paper is optimal operation management of micro-grids by considering the existing capacities in the electricity market. In fact the microgrid operator, which is responsible for the safe operation of the network, should consider a process for planning in the network that takes into account all benefits of micro-grid's components. In other words, enough reliability for generation resources in these networks should be created in order to reduce costs and environmental pollution from energy production. In this paper, the artificial bee colony (ABC) algorithm has been used to minimize the costs and environmental pollutions by providing the optimal production power of distributed generation.

摘要

在能源分配网络中使用可再生能源作为分布式发电源,为偏远地区(如人口稀少的偏远村庄和岛屿)的分散式和低能耗负荷供电,这可能是降低经济成本、减少环境污染和提高能源效率的合适解决方案。本文旨在通过考虑电力市场中的现有容量,实现微电网的优化运行管理。实际上,负责网络安全运行的微电网运营商应该考虑一个规划网络的过程,该过程应考虑微电网组件的所有效益。换句话说,应该为这些网络中的发电资源创造足够的可靠性,以降低能源生产的成本和环境污染。在本文中,通过提供分布式发电的最佳生产功率,利用人工蜂群(ABC)算法来最小化成本和环境污染。

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