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首页> 外文期刊>Smart Grid, IEEE Transactions on >Optimal Power Scheduling for Smart Grids Considering Controllable Loads and High Penetration of Photovoltaic Generation
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Optimal Power Scheduling for Smart Grids Considering Controllable Loads and High Penetration of Photovoltaic Generation

机译:考虑可控负载和高光伏发电能力的智能电网最优功率调度

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摘要

The distributed generator (DG) has a huge economical and environmental potential, especially if it is based on renewable energy sources (RESs). It is very important for the future development of smart grids. However, high penetration of DGs into distribution systems can cause voltage deviations beyond the statutory range, and reverse power flow toward the substation transformer. Consequently, it can increase the distribution system losses if it is not well supervised. Thus, in order to meet smart grid objectives, DGs have to be controlled in coordination with other power resources existing in the distribution system. Controllable loads (CLs) can also help in promoting smart grids through demand response (DR) application. Therefore, this paper proposes a decision technique of an optimal reference schedule for DGs, battery energy storage system (BESS), CLs, and tap changing transformers. The main objective of the proposed optimization problem is to achieve loss reduction in the distribution system. However, other aims such as voltage control and power flow smoothing have been achieved. The optimization is performed based on predicted values of load demand and DG generation. Simulations are conducted for one operation day to illustrate the optimality of the proposed scheduling method and to assess the impact of CLs in smart grids.
机译:分布式发电机(DG)具有巨大的经济和环境潜力,尤其是如果它基于可再生能源(RESs)。这对于智能电网的未来发展非常重要。但是,DG高度渗透到配电系统中可能会导致电压偏差超出法定范围,并使反向电流流向变电站变压器。因此,如果管理不当,可能会增加配电系统的损失。因此,为了达到智能电网的目标,必须与配电系统中现有的其他电力资源协调来控制DG。可控负载(CL)还可以通过需求响应(DR)应用程序来帮助提升智能电网。因此,本文提出了一种针对DG,电池储能系统(BESS),CL和抽头变换变压器的最佳参考计划的决策技术。所提出的优化问题的主要目的是实现配电系统中的损耗减少。但是,已经实现了其他目标,例如电压控制和功率流平滑。基于负载需求和DG生成的预测值执行优化。通过对一个工作日进行仿真,以说明该调度方法的最优性,并评估智能电网中CL的影响。

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