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This study proposes a load prediction method for multi‐type electric vehicle charging stations based on secondary decomposition and feature selection. First, the original load sequence of an electric vehicle charging station is decomposed into relatively simple components using variational mode decomposition (VMD). The residual term after the decomposition carries rich information; therefore, this...
The electric vehicle (EV) replacing the traditional fuel vehicle has become an inevitable trend of the development of low carbon economy because of its characteristics of green environmental protection, energy saving and high elïïciency. With the popularization of electric vehicles, random charging of scale electric vehicles in time will increase the influence of uncertain factors in power grid operation,...
In today's energy shortage and environmental pollution, governments are actively developing new and renewable clean energy, wind energy as an outstanding representative of clean energy has been rapid development in recent years. However, with the increasing proportion of wind power, the problem of abandoned wind is becoming more and more serious in our country, especially in the northern region during...
IEEE 802.11b WLAN is widely used to implement Wi-Fi based Time Difference of Arrival (TDoA) indoor localization. This paper presents a novel IEEE 802.11b baseband receiver and the corresponding localization system. Frame detector and phase recovery block are dedicated to frame reception and frequency offset compensation. Baker code re-correlator is specially designed to improve anti-noise performance...
Received Signal Strength Indicator (RSSI) is simplest among various indoor localization methods. The main drawback is requiring a training phase to build fingerprints database, which is time consuming and sensitive to changes of test environment. Time based approaches such as Time of Arrival (ToA) and Time Difference of Arrival (TDoA) achieve better performance with some hardware expenditure, while...
According to the wind speed prediction appeared in data acquisition difficulties, so as to the poor forecast accuracy, this paper proposed the history data of near BP-ANN wind short-term forecast model, with emphasis on BP model of input layer and hidden layer parameters are estimated. In the certain scope, enumerated input layer and hidden layer parameters, and use a large number of data simulation,...
The study was done in order to overcome the disadvantages of classical optimization algorithm for reservoir optimal operation, such as curse of dimensionality and early maturity. Particle swarm optimization algorithm based on the niche, crossover and selection operators (NCSPSO), which carry out diversification treatment with history best position of particle in the process of optimization, was presented...
Indoor positioning has wide prospects in emergency positioning, public safety, and exhibition services and has become a research focus. This paper presents a 2D indoor positioning system based on Wi-Fi and TDOA on USRP platform. Meanwhile, the sending and receiving of Wi-Fi signal are implemented for measurement and the algorithm of frequency offset estimation, initial phase estimation and the cross...
Reactive power optimization of power system is a complicated multi-objective, multi-constraint combination optimization problem, particle swarm optimization (PSO) algorithm is the most commonly used algorithm to solve this problem. Aiming at the disadvantages of PSO algorithm, this paper came up with an improved particle swarm optimization (IPSO) algorithm. Firstly, it improved the particle population...
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