Rui Liu

Interference identification in smart grid communications

The TD-LTE wireless private network for electric power systems is an important component of smart grids, and coverage analysis and interference identification are essential in operating and optimizing of power wireless private networks. This paper presents an approach to analyzing indoor and outdoor coverage scopes of cell radio signals and recognizing locations and sources of intra-network interference in the network deployed in a dense urban environment. This approach takes scenario modeling to represent terrain and on-ground objects given by digital maps, utilizes ray tracing to track the signal propagation trajectories, and calculates strength attenuation of radio signals due to signal propagation such as direct transmission, reflection, diffraction and refraction. The uniform grid is employed as the acceleration structure to speed up tracing signal propagation paths, and drive-testing measurement data and scenario-oriented propagation model calibration are used to improve analysis accuracy. Weak coverage spots and interference defect spots are defined and used to identify interference types and sources. We applied the approach to a tentative TD-LTE power wireless private network in a southern city in China, proving that the ray-tracing-based scheme is able to make precise analysis on coverage and interference in practical networks.

Analysis on TD-LTE wireless private network capacity meeting the interaction demand of future smart grid

AbstractAlong with the usage of green energy, electricity, and the advanced innovation of energy, new power services will grow explosively, such as distributed photovoltaic, electric vehicle charging pile and so on. As a result, the interaction mode ‘source-net-load–storage’ will change. Aiming to promote the power grid operation and service level, it is required to improve the ability of distribution network control and awareness, especially the ability of real-time operating state collection in the low voltage power grid (380 kv / 220 kv). Power wireless private network based on TD-LTE is one of the most important technologies to realize the power terminal access and data collection which can solve the ‘last mile’ problem of terminal access. However, the wireless communication capacity is limited by the bandwidth, frequency, technology, etc. In this paper, we analyze the requirements of power grid basic services for TD-LTE wireless private network. And the basic services include power utilization inform...

Research on Networking Technology in the Power Wireless Network

The coverage is important for the wireless networking cost. Wide coverage means less base station and less cost. In this paper, we first describe the structure of power wireless network. Then we compared the LTE 230 MHz and 1.8 GHz. These two cellular networks cannot fulfill deep coverage requirement, so we use LoRa to solve this problem. Finally, we do some measurements with LoRa in some real environments. The measured results shows the LoRa can fulfill the deep coverage requirement. Introduction Wireless communication technology is becoming a hot spot of research of the smart grid access due to its characteristics such as flexible deployment, low cost and so on[1]. As the evolution of OFDM technology, LTE is widely used because of the high rate and coverage. The LTE is also applied to the construction of distribution automation and data collection of meter [2][3]. As shown in Figure 1, the wireless power grid communication system establishes a secure and reliable two-way communication link between the terminal device and the background host station for the bidirectional transmission of data, voice and video to realize the functions including automated power distribution, automated power metering, power load and emergency management. In general, the increase in coverage can reduce the number of base stations, thereby saving the construction cost of the wireless communication system. For the wireless power wireless network, it is very convenient when the base station coverage is large enough. That is, the base stations can be sited at the already well-established power substations as shown in Figure 1 for further cost saving. Analysis of coverage The minimum sample SNR for successful decoding is usually about -4 DB. From the link budget equation uf028 uf029 uf028 uf029 0 ( ) 4 t r s i f P N g g l uf070 uf07a uf073 uf073 uf047 uf03d uf02d uf044 uf02d uf02b uf02b uf02b uf02b uf02d uf02d uf02d uf03e uf02d , It’s clear to find the pathloss is 154.5 dBm s i uf073 uf073 uf044 uf03c uf02d uf02d , where 50mW 17dBm P uf03d uf03d is the base station transmit power for one frequency point, 44 dB Hz uf070 uf03d uf0d7 is the bandwidth of one frequency point, 7dB uf07a uf03d is the noise figure of the receiver, and 0 174dbm/Hz N uf03d uf02d is the noise power spectral density. and s i uf073 uf073 are the shadow fading margin and the interference margin, respectively. Moreover, we assume the antenna gain in base station and terminal are 8 t g dBi uf03d and 3.5 r g dBi uf03d , whereas the feeder loss is 1 f l dB uf03d .

Research on Frequency Band Selection for LTE Power Wireless Private Network Supporting IMS Services for State Grid

In this paper, we analyzed and compared the performance of LTE Power Wireless Private Network using 1.8 GHz and 230 MHz as their carrier frequency. Then, the simulation results show the comparison between 1.8GHz and 230 MHz in terms of coverage, delay and service supporting ability. The contributions of this paper are that 1.8GHz is a better choose for the PWPN and the simulation results provide guiding significance to the next modification of integration communication of fixed and mobile.

Power wireless private network in energy IoT: Challenges, opportunities and solutions

With the building of the energy Internet of Things (IoT), the establishment of a private network dedicated to the control and management of the grid to provide reliable and secure power services is attracting more and more attention. Meanwhile, owing to the rapid development of wireless wideband communication technologies, todays wireless communications are increasingly considered by power communication services as a means to serve as the supplementary method to fiber-optics to extend the smart grid services to places where the traditional wired communication technology cannot reach. Based on services demand analysis, this paper proposes a dual-band-dual-network architecture to satisfy the demands in power wireless private network (PWPN). Firstly, we introduce the structure of the PWPN in energy IoT. Then we analyze the requirements of the energy IoT on the PWPN. Finally, we propose a dual-band-dual-network architecture to fulfill most of the PWPN requirements.

Uplink interference management in power wireless private network

Same frequency networking (SFN) technology is widely used in modern wireless network to achieve high area spectrum efficiency. However, it brings the inter-cell interference to the users at the cell edge. Frequency allocation and power control is extensively used to diminish the effect of the interference. Most of the researches are focus on the downlink data transmission due to the fact that the requirement of downlink data transmission is larger than the uplink in human type communication. It is not always true in the Internet of Things communication scenario, such as the power wireless private network. In this paper, we work on the uplink interference management in power wireless private network and propose two solutions to improve the edge terminals uplink data transmission rate. One is power control based on the soft frequency reuse (SFR) and the other is based on the resource allocation. Simulation results are also provided to investigate our proposed methods.