A multiple environment dispatch problem solution using ant colony optimization for micro-grids

I. Trivedi, Dhaval K. Thesiya, A. Esmat, Pradeep Jangir
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引用次数: 36

Abstract

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 multiple environment dispatch problem solution 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 multiple environment dispatch problem solution 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 multiple environment dispatch solution was implemented using MatLab and tested on two case studies with and without RES-Wind Turbine-Solar (WT-PV). The obtained results from the proposed technique are compared with those calculated using other Techniques; Gradient to evaluate the proposed method. The outcomes are evaluated and discussed. Finally, conclusions are reported.
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基于蚁群优化的微电网多环境调度问题求解
微电网已经在世界范围内的许多配电系统中广泛应用。他们通过管理微电网的发电和与主电网的交易,为用户提供安全可靠的运行。此外,微电网可以帮助整合和促进可再生能源(RES),减少传统集中式发电对环境的影响。本文提出了一种利用蚁群优化技术求解微电网多环境调度问题的方法。在满足微网负荷需求的前提下,提出了一种综合成本优化方案。在此基础上,利用提出的多环境调度问题方案,结合经济排放调度问题,对微电网在高投资成本条件下促进可再生能源的实施进行了评估。提出的多环境调度解决方案在MatLab中实现,并在两个案例研究中测试了有无RES-Wind - turne - solar (WT-PV)。将该方法的计算结果与其他方法的计算结果进行了比较;提出了梯度评价方法。评估和讨论结果。最后,报告了结论。
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