The system provides a solid basis for load forecasting and fault repairing, but there are inevitable intermittent delays. For instance, the authors in have built a system to acquire the remote electrical signals from distribution transformers such as voltage, current, power, and temperature and send these values to a monitoring node via SMS. Besides, most of the wireless communication applications of the power grid are based on the Short Messaging Service (SMS ) transmission protocol.
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However, the systems and methods proposed in the above references are all running on local servers, subject to geographical factors and hardware and software architectures, so these systems and methods are difficult to adapt to the future development needs of the smart grid. And in, a rigorous anomaly detection scheme and a method to design the alarm deadband width are proposed. In, the specific alarm system is adopted to the wind turbine and the UHV DC transmission. In, an online intelligent alarm-processing system is developed which could determine not only the fault or disturbance cause but also the missing or false alarms as well as the causes of the false alarms. The function of the analysis module is to find out what events cause the reported alarms and to estimate when these events happen and identify abnormal or missing alarms. Based on the temporal constraint network, a new analytic model is developed for alarm processing with temporal information being taken into account in. In, abductive temporal reasoning algorithms are used for rapid identification and classification of the alarm information such as break alarms, exception alarms, and missing alarms, which have achieved good results. In, the fuzzy matching method, single-event reasoning, and multievent reasoning methods are used for reasoning and judging the alarm information.
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Given the above problems, relevant scholars have carried out a series of studies. The existing PGAS is challenging to cope with the increasingly complex power grid in terms of real-time transmission and reliability in the future. However, with the increasing amount of the information in the power grid and the continuous popularization of mobile technology, the operation and monitoring of the power grid is developing towards informatization. Moreover, the operators that run the controlled process can utilize the provided information to make corrective actions. As an essential part of the smart grid, the power grid alarm system (PGAS) is used as advice to system operators relating to problematic operating conditions. IntroductionĬurrently, the smart grid has become the future development direction of the power industry. More than one year of stable operation indicates that the proposed system is safe, reliable, flexible, and convenient with a bright prospect for future applications. The proposed system has been implemented in the Lipu power system in Guangxi, China.
On the contrary, the reliability of the proposed system is as high as 99.9971%, and the annual failure time is 15.24 minutes, which is 380 times lower than 96.51 hours of the SMSAS. Compared with SMSAS, our simulation shows that the time from sending to receiving the information in the proposed system is reduced from 4.9 seconds to 172 milliseconds, with the latency reduced by 28 times. Combined with virtual private cloud technology, the hardware resources are virtualized, and the proposed system has strong disaster recovery capability, which significantly improves the flexibility and reliability of the system. For WMAS, the WeChat mini program (WMP) is adopted, and it has the dedicated data channel using the Https protocol, which is set up in the WMP and the web API to encrypt the data content to ensure the integrity of the data. For solving these problems, this paper proposes a WeChat-based system under the virtual private cloud environment to achieve real-time monitoring and alarming for the power grid operation status (WMAS).
The existing power grid alarm system using SMS (SMSAS) is complex and suffers some problems such as high latency in data transmission, low reliability, and poor economy.
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