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A particle swarm optimization based power dispatch algorithm with roulette wheel re-distribution mechanism for equality constraint

机译:等式约束的基于粒子群优化和轮盘再分配机制的功率分配算法

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In this paper, a particle swarm optimization (PSO)-based power dispatch algorithm is proposed to deal with the energy management problem of the hybrid generation system (HGS). For conventional PSO method, the search space is only defined by inequality constraints. However, as for power dispatch problems, it is vital to maintain power balance, which can be represented as an equality constraint. To address this issue, a roulette wheel re-distribution mechanism is proposed. With this re-distribution mechanism, unbalanced power can be reallocated to more superior element and the searching diversity can be preserved. In addition, the effect of depth of discharge on the life cycle of the battery bank is also taken into account by developing a penalty mechanism. The proposed method is then applied to a HGS consisting of photovoltaic array, wind turbine, microturbine, battery banks, utility grid and residential load. To validate the effectiveness and correctness of the proposed method, simulation results for a whole day will also be provided. Comparing with three other power dispatching methods, the proposed method can achieve the lowest accumulated cost. (C) 2015 Elsevier Ltd. All rights reserved.
机译:针对混合发电系统(HGS)的能源管理问题,提出了一种基于粒子群优化(PSO)的电力调度算法。对于传统的PSO方法,搜索空间仅由不等式约束定义。但是,对于功率分配问题,至关重要的是保持功率平衡,这可以表示为相等约束。为了解决这个问题,提出了轮盘重新分配机制。通过这种重新分配机制,可以将不平衡的功率重新分配给更高级的元素,并可以保留搜索多样性。此外,还通过开发惩罚机制来考虑放电深度对电池组寿命的影响。然后,将所提出的方法应用于由光伏阵列,风力涡轮机,微型涡轮机,电池组,公用电网和居民负荷组成的HGS。为了验证所提出方法的有效性和正确性,还将提供一整天的仿真结果。与其他三种电力分配方法相比,该方法可以实现最低的累计成本。 (C)2015 Elsevier Ltd.保留所有权利。

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