Intelligent Economic Operation of Smart-Grid Facilitating Fuzzy Advanced Quantum Evolutionary Method
Intelligent Economic Operation of Smart-Grid Facilitating Fuzzy Advanced Quantum Evolutionary Method
复制标题
DOI：
10.1109/tste.2013.2256377
复制
发表时间：
2013-09
影响因子：
8.8
通讯作者：
S. Chakraborty;Takayuki Ito;T. Senjyu;A. Saber
中科院分区：
文献类型：
--
作者：
S. Chakraborty;Takayuki Ito;T. Senjyu;A. Saber
本文提出了一种智能电网环境下的智能经济运行促进先进的量子进化方法。所提出的方法模型的风力发电（WG）和光伏（PV）发电作为可再生能源发电源作为全球变暖效应的措施。该模型中包括了热发电机（TG），以提供最大量的能量来满足消费者的需求。另一方面，插电式混合动力电动汽车（PHEV）能够减少CO2，NOx，并逐渐成为智能电网基础设施的一个组成部分。这种集成引入了系统的不确定性，解决了模糊逻辑为基础的配方。所需的负载，风速，太阳辐射，和所涉及的PHEV的数量下模糊配方。提出了一种智能量子进化算法（IQEA），并将其应用于该模型中，实现了涉及TG、WG、PV和PHEV的智能经济调度问题。IQEA具有智能运营商，如复杂的旋转运营商，微分运营商等，该方法是在一个假设的电力系统与10个热单位，等效数量的PHEV，等效的太阳能和风力发电场进行测试。仿真结果将显示IQEA的有效性，提供了良好的运营资源调度，同时降低了生产成本和排放。
This paper presents an intelligent economic operation of smart grid environment facilitating an advanced quantum evolutionary method. The proposed method models the wind generation (WG) and photovoltaic (PV) generation as renewable power generation sources as a measure of global warming effect. Thermal generators (TGs) are included in this model to provide the maximum amount of energy to meet consumers' demand. On the other hand, plug-in hybrid electric vehicles (PHEVs) are capable of reducing CO 2, NO x, and gradually becoming an integral part of smart-grid infrastructure. Such integration introduces uncertainties into the system that are addressed by fuzzy-logic-based formulations. Demanded load, wind speed, solar radiation, and number of involved PHEVs are taken under fuzzy formulations. An intelligent quantum inspired evolutionary algorithm (IQEA) is proposed and applied in this model to perform the intelligent economic scheduling operation concerning scheduling and dispatching TG, WG, PV, and PHEV. IQEA features intelligent operators such as sophisticated rotation operator, differential operator, etc. The method is tested on a hypothetical power system with 10 thermal units, equivalent number of PHEVs, equivalent solar and wind farm. The simulation results will show the effectiveness of IQEA that provides excellent operational resource scheduling while reducing the production cost and emission.