In this paper, a performance improvement scheme for an autonomous AC microgrid in the presence of dispatchable and renewable units, and Plug-in Hybrid Electric vehicles has been proposed. In a standalone mode of operation, a droop-control strategy is implemented at the primary control level for a communication-free accurate power-sharing among multiple dispatchable generators. For a network that is neither highly reactive nor highly resistive, active and reactive powers are coupled to both voltage magnitudes and phase angles. A mixed-droop feature is incorporated at the primary control level for autonomous power-sharing among the units for such networks. The mixed-droop feature is considered in this paper. Further, stochastic models of load demands, renewable generation, and plug-in hybrid electric vehicle charging loads are considered. Objectives are to reduce the cost of operation and minimize the emission of greenhouse gases from generation activities. The bi-objective problem is solved in the fuzzy domain. Performance improvement is achieved in two steps, first, by choosing optimal static droop constants using the particle swarm optimization, and then a further performance improvement is achieved by network reconfiguration. The proposed algorithm is tested on a thirty-three bus autonomous microgrid and gives satisfactory results.

本文提出了一种具有可调度和可再生单元的自主交流微电网的性能改进方案，并提出了插电式混合动力汽车。在独立操作模式下，在主要控制级别实施了下垂控制策略，以实现多个可调度发电机之间无通信的准确功率共享。对于既不是高电抗也不是高电阻的网络，有功和无功功率都耦合到电压幅度和相位角。在主要控制级别上并入了混合下降功能，以在此类网络的各个单元之间进行自动功率共享。本文考虑了混合下降特性。此外，考虑了负荷​​需求，可再生能源发电和插电式混合动力电动汽车充电负荷的随机模型。目标是降低运营成本，并最大程度地减少发电活动产生的温室气体排放。在模糊域中解决了双目标问题。可以通过两个步骤来实现性能改进，首先，通过使用粒子群优化选择最佳的静态下垂常数，然后通过网络重新配置来实现进一步的性能改进。该算法在33个公交自主微电网上进行了测试，结果令人满意。然后通过网络重新配置可以进一步提高性能。该算法在33个公交自主微电网上进行了测试，结果令人满意。然后通过网络重新配置可以进一步提高性能。该算法在33个公交自主微电网上进行了测试，结果令人满意。