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首页> 外文期刊>Reliability Engineering & System Safety >A multistage framework for reliability-based distribution expansion planning considering distributed generations by a self-adaptive global-based harmony search algorithm
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A multistage framework for reliability-based distribution expansion planning considering distributed generations by a self-adaptive global-based harmony search algorithm

机译：基于自适应全局全局和谐搜索算法的考虑分布式发电的基于可靠性的配电扩展规划的多阶段框架

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In this paper, the authors present a new multistage framework for reliability-based Distribution Expansion Planning (DEP) in which expansion options are a reinforcement and/or installation of substations, feeders, and Distributed Generations (DGs). The proposed framework takes into account not only costs associated with investment, maintenance, and operation, but also expected customer interruption cost in the optimization as four problem objectives. At the same time, operational restrictions, Kirchhoffs laws, radial structure limitation, voltage limits, and capital expenditure budget restriction are considered as problem constraints. The proposed model is a non-convex optimization problem having a non-linear, mixed-integer nature. Hence, a hybrid Self-adaptive Global-based Harmony Search Algorithm (SGHSA) and Optimal Power Flow (OPF) were used and followed by a fuzzy satisfying method in order to obtain the final optimal solution. The SGHSA is a recently developed optimization algorithm which imitates the music improvisation process. In this process, the harmonists improvise their instrument pitches, searching for the perfect state of harmony. The planning methodology was demonstrated on the 27-node, 13.8-kV test system in order to demonstrate the feasibility and capability of the proposed model. Simulation results illustrated the sufficiency and profitableness of the newly developed framework, when compared with other methods. (C) 2015 Elsevier Ltd. All rights reserved.
机译：在本文中，作者提出了一个新的基于可靠性的配电扩展计划（DEP）的多阶段框架，其中扩展选项是对变电站，馈线和分布式发电（DG）进行加固和/或安装。拟议的框架不仅考虑了与投资，维护和运营相关的成本，而且还将优化中的预期客户中断成本作为四个问题目标。同时，操作限制，基尔霍夫定律，径向结构限制，电压限制和资本支出预算限制被视为问题限制。所提出的模型是具有非线性混合整数性质的非凸优化问题。因此，使用了一种混合的基于全局的自适应谐波搜索算法（SGHSA）和最优潮流（OPF），然后采用一种模糊满足的方法来获得最终的最优解。 SGHSA是最近开发的优化算法，它模仿了音乐即兴创作过程。在此过程中，和声演奏者即兴演奏其乐器的音高，以寻求完美的和声状态。为了证明所提出模型的可行性和能力，在27节点13.8kV测试系统上演示了该规划方法。仿真结果说明了与其他方法相比，新开发框架的充分性和可盈利性。 （C）2015 Elsevier Ltd.保留所有权利。

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