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A novel Energy Management System using Ant Colony Optimization for micro-grids

机译:一种新型能源管理系统,使用蚁群优化进行微网

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Micro-grids have spread in many distribution systems worldwide. They offer safe and reliable operation for their consumers by managing the micro-grids' power generation and trading with the main grid. Furthermore, micro-grids can help in integrating and promoting for Renewable Energy Sources (RES) and reducing the environmental impacts of traditional centralized generation. This paper proposes a novel Energy Management System (EMS) in micro-grids using Ant Colony Optimization (ACO) technique to solve the generation dispatch problem. A combined cost optimization scheme is investigated to minimize both operational cost and emission levels while satisfying the micro-grid's load demand. Furthermore, the proposed EMS is used to evaluate promoting RES implementation in micro-grids despite of their high capital cost using the combined economic emission dispatch problem. The proposed EMS was implemented using MatLab and tested on two case studies with and without RES-WindTurbine (WT). The obtained results from the proposed technique are compared with those calculated using two other Techniques; Lagrange and Gradient to evaluate the proposed method. The outcomes are evaluated and discussed. Finally, conclusions are reported.
机译:微电网在全球许多分销系统中传播。通过管理微网发电和使用主电网进行交易,为消费者提供安全可靠的操作。此外,微电网可以有助于整合和促进可再生能源(RES),并降低传统集中发电的环境影响。本文提出了一种使用蚁群优化(ACO)技术的微网格中的新型能源管理系统(EMS),以解决发电派遣问题。研究了组合的成本优化方案,以最小化运营成本和排放水平,同时满足微网的负荷需求。此外,尽管使用合并的经济排放派遣问题,但拟议的EMS用于评估微电网中的促进res实施。拟议的EMS是使用MATLAB实施的,并在两种情况下进行测试,其中没有Res-Windturbine(WT)。将所得技术的获得结果与使用另外两种技术计算的结果进行比较;拉格朗日和渐变来评估所提出的方法。评估和讨论结果。最后,报告了结论。

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