Ge Weichun

Bio: Ge Weichun is an academic researcher from Shenyang University of Technology. The author has contributed to research in topics: Wind power & Electric power system. The author has an hindex of 3, co-authored 13 publications receiving 32 citations.

Research on communication technology of power monitoring system based on medium voltage power line carrier and low power wide area network

Abstract: The Power Line Carrier (PLC) communication makes full use of the power line which has already been laid as the transmission medium, and does not require earthwork construction and communication line laying, which can achieve rapid construction. While, the wireless communication technology provides a good solution to solve the problems of high cost, poor flexibility and difficult installation and maintenance of wired communication technology. In this paper, based on the combination of medium voltage power line broadband carrier communication technology and Low-Power Wide Area Network(LP-WAN), proposes a communication technology of remote power monitoring system combined with wired and wireless, which can achieve real-time communication of power system with low cost and long distance.

Global sensitivity analysis of voltage stability in the power system with correlated renewable energy

Abstract: The high penetration of renewable energy in power systems significantly increases the difficulty of system modelling. Adequate attention should be paid to the impact of the correlation between renewable energy sources and voltage stability. In this paper, a global sensitivity analysis method is proposed to analyse the sensitivity of correlated renewable energy generation to voltage stability. The established model fully considers the uncertainty of wind speed and solar irradiance. Moreover, the simplified local voltage stability index is used to evaluate voltage stability. The global sensitivity analysis method is used to identify the sensitivity of random factors. In addition, the Monte Carlo method is proposed to calculate Pearson correlation coefficients in different distribution spaces. The Nataf inverse transform is used to sample correlated renewable energy. Finally, the global sensitivity index of renewable energy generations is obtained. Numerical results on the modified IEEE 30-bus system and modified IEEE 118-bus system show that with the enhancement of correlation between renewable energy sources, the sensitivity of renewable energy generations to voltage stability is also increasing.

Early Warning Method for Power Station Auxiliary Failure Considering Large-Scale Operating Conditions

Abstract: Large-scale deep variable load of thermal power units will increase the hidden trouble of auxiliary equipment failure. Timely detection of minor faults and early warning are conducive to the safe operation of units. With the large-scale deep variable load of units, the operating conditions of auxiliary equipment also change in a large range, and the operating parameters fluctuate in a large range, which directly affects the accuracy of fault early warning algorithm based on operation data. In order to solve this problem, this paper uses a multivariate state estimation technique (MSET) algorithm for fault early warning. Firstly, the cluster method is used to divide the operating conditions of units, and process memory matrix is constructed under different operating conditions for modeling and calculation. The simulation results show that compared with the traditional method using one process memory matrix this method significantly improves the accuracy of fault early warning.

A Coordinated Calculation Method of Abandoned Large-Scale Wind Heat Storage for Heating

Abstract: The state encourages clean heating, and electric heating is an important component. However, the cost of conventional electricity consumption is high. If the abandoning wind power is used, it not only eliminates wind power but also reduces the cost of electric heating. Taking an actual power grid as an example, this paper proposes a coordinated dispatching strategy for abandoned wind heat storage for heating by studying the total amount of abandoned wind, heat storage capacity and heating capacity. This has great practical significance for a power grid with abandoned large-scale wind power and large-scale heat storage.

Entire process accurate evaluation abandoned wind for high proportion wind power connected to large power grid

Abstract: Aiming at the randomness and volatility of the abandoned wind with high proportion wind power connected to the large power grid, this paper proposed a the entire processes accurate evaluation analysis method with multi-dimensional, multi-period and multi-type, constructed a multi-dimensional analysis system such as electricity, hours, abandonment rate and abandonment ratio, and constructed a multi-period analysis system such as the annual, heating season, monthly and hourly electricity distribution and the corresponding low valley period, it also constructed a multi-type analysis system such as peak shaving abandoned wind and grid structure abandoned wind, which provides a theoretical basis for implementing large-scale abandoned wind consumption. Combined with the actual examples, the abandoned wind analysis system established in this paper has practical significance for mastering the law of abandoning wind and selecting appropriate measures for abandoning wind consumption.

Dispatching optimization model of gas-electricity virtual power plant considering uncertainty based on robust stochastic optimization theory

Abstract: With the rapid development of renewable energy, virtual power plant technology has gradually become a key technology to solve the large-scale development of renewable energy. This paper focuses on the stochastic dispatching optimization of gas-electric virtual power plant (GVPP). Based on this, wind power plant, photovoltaic power generation and convention gas turbines are used as the power generation side of GVPP. Power-to-gas (P2G) equipment and gas storage tank can realize the conversion and storage of electricity-gas energy. Price based demand response and incentive based demand response are introduced into the terminal load side to regulate the user’s electricity consumption behavior. GVPP bilaterally connects power network and natural gas network, which realizes the bidirectional flow of electricity-gas energy. Firstly, taking the maximization of economic benefits as the objective function, combined with the constraints of power balance, system reserve and so on, a dispatching optimization model of GVPP participating in multi-energy markets is constructed to determine the operation strategy. Secondly, wind, solar and other clean energy have the characteristics of random and fluctuation, which threaten the stable operation of the system. Therefore, a stochastic dispatching optimization model of GVPP considering wind and solar uncertainty is established based on robust stochastic optimization theory. Thirdly, the evaluation indicators of GVPP operation is determined, which can comprehensively evaluate the economic benefits, environmental benefits and system operation of virtual power plant. Finally, in order to verify the validity and feasibility of the model, a virtual power plant is selected for example analysis. The results show that: (1) After the implementation of price based demand response and incentive based demand response, the system load variance changes from 0.03 to 0.013. Through the comparison of load curves, it is found that demand response can play a role of peak-shaving and valley-filling and smooth the power load curve; (2) Stochastic optimization theory can overcome the uncertainty of wind and solar by setting different robust coefficients Γ which reflects the ability of the system to withstand risks; (3) The optimization effect after introducing the P2G subsystem makes the amount of abandoned clean energy close to zero. The operation risk of system is reduced, and the carbon emissions are reduced by 370 m3 too. The market space is expanded from electricity market mainly to natural gas market and carbon trading market.

An analysis of the effects and dependency of wind power penetration on system frequency regulation

Abstract: The integration of renewable energy sources into power systems has gathered significant momentum globally because of its unlimited supply and environmental benefits. Within the portfolio of renewable energy, wind power is expected to have a soaring growth rate in the coming years. Despite its well known benefits, wind power poses several challenges in grid integration. The inherent intermittent and non-dispatchable features of wind power not only inject additional fluctuations to the already variable nature of frequency deviation, they also decrease frequency stability by reducing the inertia and the regulation capability. This paper closely examines these effects as well as the effect on tie-line flows and area control error, which causes a larger and longer frequency deviation in the integrated system. Further, the effect of wind power on frequency regulation capability at different penetration levels is also examined. The analytical and simulation results presented here provide some guidance on determining maximum wind power penetration level given a frequency deviation limit.

Software Demodulation of Weak Radio Signals using Convolutional Neural Network

Abstract: In this paper we proposed the use of JT65A radio communication protocol for data exchange in wide-area monitoring systems in electric power systems. We investigated the software demodulation of the multiple frequency shift keying weak signals transmitted with JT65A communication protocol using deep convolutional neural network. We presented the demodulation performance in form of symbol and bit error rates. We focused on the interference immunity of the protocol over an additive white Gaussian noise with average signal-to-noise ratios in the range from −30 dB to 0 dB, which was obtained for the first time. We proved that the interference immunity is about 1.5 dB less than the theoretical limit of non-coherent demodulation of orthogonal MFSK signals.

Thermal-Oxidative Aging Effects on the Dielectric Properties of Nuclear Cable Insulation

Abstract: In order to satisfy demands of cable insulation for nuclear power, a low-smoke, halogen-free flame retardant and better cryogenic property insulation was prepared. The effect of thermal-oxidative aging on the dielectric properties was researched in this paper. The changes of chemical structure and thermal-oxidative stability caused by aging were characterized by Fourier transform infrared spectroscopy and a differential scanning calorimeter. The results showed that, the oxidative-induced stability reduced as complex products accumulated during aging. The dielectric properties including polarity, conductivity and breakdown at different aging stages were measured. For comparison, tensile testing was performed. The parameters related to conductivity changed notably, and were comparable with the changes in mechanical properties.