一种基于Bat算法的自适应修正可再生电网优化管理方法

Aliasghar Baziar, Abdollah Kavoosi-Fard, J. Zare
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引用次数: 50

摘要

在新的竞争激烈的电力市场中,对不同类型可再生能源组成的微电网进行准确的运行管理,可以为用户提供更可靠、更经济的电力供应。为此,本文提出了一种基于bat算法的新求解方法,解决了包括燃料电池(FC)、风力发电(WT)、光伏发电(PV)、微型风力发电(MT)以及存储设备在内的多个储能系统的最优能量管理问题,以满足能量不匹配。该问题被表述为一个非线性约束优化问题,以同时最小化电网和RESs的总成本。此外,该问题考虑了24小时时间间隔内MG和效用的交互影响,从优化的角度来看,这将更严重地增加问题的复杂性。所提出的优化技术是一种自适应修改方法,结合了基于bat算法的两种修改方法,实现了对总搜索空间的全局探索。通过一个典型的可再生MG作为测试系统,验证了该方法相对于其他已知算法的优越性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Novel Self Adaptive Modification Approach Based on Bat Algorithm for Optimal Management of Renewable MG
In the new competitive electricity market, the accurate operation management of Micro-Grid (MG) with various types of renewable power sources (RES) can be an effective approach to supply the electrical consumers more reliably and economically. In this regard, this paper proposes a novel solution methodology based on bat algorithm to solve the op- timal energy management of MG including several RESs with the back-up of Fuel Cell (FC), Wind Turbine (WT), Photovoltaics (PV), Micro Turbine (MT) as well as storage devices to meet the energy mismatch. The problem is formulated as a nonlinear constraint optimization problem to minimize the total cost of the grid and RESs, simultaneously. In addition, the problem considers the interactive effects of MG and utility in a 24 hour time interval which would in- crease the complexity of the problem from the optimization point of view more severely. The proposed optimization technique is consisted of a self adaptive modification method compromised of two modification methods based on bat algorithm to explore the total search space globally. The superiority of the proposed method over the other well-known algorithms is demonstrated through a typical renewable MG as the test system.
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