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Design of Direct Torque Controller for DFIG Based Wind Turbine Using SVM 基于支持向量机的DFIG风力机直接转矩控制器设计
Pub Date : 2022-02-01 DOI: 10.52293/1.1.6172
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引用次数: 0
Optimal Energy Demand Forecasting for Systems by Improved Manta Ray Foraging Optimizer: A Case Study in Taiwan 基于改进蝠鲼觅食优化器的系统最优能量需求预测:以台湾为例
Pub Date : 2022-02-01 DOI: 10.52293/1.1.3045
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引用次数: 0
Optimal Planning of Intelligent Parking IoT Using Interval Particle Swarm Optimization Algorithm in the Presence of Fuel cell and Electrolyzer as Hydrogen Storage System 基于区间粒子群算法的燃料电池和电解槽储氢系统下智能停车物联网优化规划
Pub Date : 2022-02-01 DOI: 10.52293/se.1.1.114
Recently, the application of the intelligent parking lot (IPL) in the power market has been exponentially increasing to decrease the greenhouse gasses, the pollution, and to decrease the deviation cost of the energy production based on electric vehicles (EV). IPLs uses charge and discharge features of EVs to exchange the energy in the upstream grid. This paper study on a new interval-analysis based optimal solution of an IPL by considering the interval uncertainties for the price of upstream gird value. The method based on using an interval-based particle swarm optimization algorithm to optimize an interval objective function with lower and upper limitations with a single-valued output. Simulation results of the presented procedure are compared with a deterministic mixed-integer linear programming to show its superiority. The results show that deviation cost has been decreased up to 10.74% while average cost has been raised into 5.17% which demonstrates the methods high performance in decreasing the average cost of IPL and the reliability of the intelligent parking lot in the presence of uncertainties derived from the upstream grid.
近年来,智能停车场(IPL)在电力市场的应用呈指数级增长,以减少温室气体排放和污染,降低基于电动汽车(EV)的能源生产的偏差成本。ipl利用电动汽车的充放电特性在上游电网中进行能量交换。考虑上游电网价格的区间不确定性,研究了一种新的基于区间分析的IPL优化解。该方法采用基于区间的粒子群优化算法,对具有上下限的区间目标函数进行单值输出优化。仿真结果与确定性混合整数线性规划方法进行了比较,证明了该方法的优越性。结果表明,偏差成本降低了10.74%,平均成本提高了5.17%,表明该方法在降低IPL平均成本和上游电网不确定性下智能停车场的可靠性方面具有较好的效果。
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引用次数: 0
Electric vehicles uncertainties in smart grid through demand response, PV, fuel cell, wind power and emission 智能电网中的电动汽车不确定性包括需求响应、光伏、燃料电池、风力发电和排放
Pub Date : 2022-02-01 DOI: 10.52293/se.1.1.73104
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引用次数: 0
Determining an Optimum Size Level of Gas Turbine for a Hybrid SOFC-Gas Turbine System Based on a New Improved Bio-inspired Technique 基于新型改进仿生技术的sofc -燃气轮机混合系统燃气轮机最佳尺寸水平的确定
Pub Date : 2022-02-01 DOI: 10.52293/se.1.1.1529
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引用次数: 0
Improved Convolutional Neural Network based on Modified Search and Rescue Optimizer for Predicting Iron Ore Price Volatility 基于改进搜索救援优化器的改进卷积神经网络预测铁矿石价格波动
Pub Date : 2022-02-01 DOI: 10.52293/se.1.1.4660
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引用次数: 0
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Journal of Smart Systems and Stable Energy
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