Power Grid Market Research Articles

Analysis and Prospect of the Application of Wireless Sensor Networks in Ubiquitous Power Internet of Things.

With the rapid development of the economy and society, the low efficiency and high loss of the traditional power grid can no longer meet the growing social demand, and the power grid market is facing a reform. Smart grid, as a next-generation power system, it can effectively improve the performance of traditional power grids. The ubiquitous power Internet of Things (UPIOT) replaces the traditional grids with efficient, safe, reliable, and flexible new grids, improves the utilization efficiency of the grid, reduces the loss of the power grid in the transmission process, and can meet the needs of different types of markets and users. As an advanced information acquisition and processing technology, wireless sensor networks have been widely used in medical, industrial, agricultural, commercial, and public management fields. It is an important means to promote future economic development and build a harmonious society. In the power system, wireless sensor network technology can be widely used in many fields such as line fault location, real-time monitoring, smart meter reading, and relay protection. In this paper, the basic concepts and overall architecture of ubiquitous power Internet of Things are summarized. Then, we summarize the research status of the wireless sensor network in smart grid, including power equipment, line monitoring, smart grid wireless automatic meter reading, distribution network relay protection, power assets life-cycle management, power grid fault location, and power grid fault diagnosis. In view of the technical characteristics of wireless sensor networks, combined with the production links of power systems, the application framework of wireless sensor network technology in the power systems is constructed. The application of wireless sensor networks is prospected from the aspects of network development of relay protection, application research of smart substation, application research of power grid catastrophe, security protection of power system, and deep-seated ubiquitous power Internet of Things.

Interpretable wind speed prediction with multivariate time series and temporal fusion transformers

Wind power has been utilized well in power systems, so steady and successful wind speed forecasting is crucial to security management power grid market economy. To date, most researchers have often discounted the interpretability of prediction models, leading to obscure forecasts. This study puts forward a unique forecasting methodology that incorporates notable decomposition techniques, multifactor interpretable forecasting models, and optimization algorithms. In the proposed model, variational mode decomposition is employed to break down the raw wind speed sequence into a set of intrinsic mode functions. Adaptive differential evolution is then used for optimizing several parameters of temporal fusion transformers (TFT) to achieve satisfactory forecasting performance. TFT is a new attention-based deep learning model that puts together high-performance multi-horizon prediction and interpretable insights into temporal dynamics. Empirical studies using eight real-world 1-h wind speed data sets in Albert, Canada, and Five Points, USA demonstrate that the system using the proposed model outperforms those employing other comparable models in nearly all performance metrics. Examples of TFT's interpretable outputs are the importance ranking of the decomposed wind speed sub-sequences and meteorological data and attention analysis of different step lengths. The findings signify substantial progress for wind speed prediction and aid policymakers.

Research on the Control Method of Short-term Transmission and Distribution Price Level

In order to ensure the orderly competition in the power market, through a variety of measures to reduce the electricity cost of enterprises and users, and improve the service quality of power enterprises, this paper puts forward the research on the control method of the total level of short-term transmission and distribution price. Combined with the principle of “three sets and five big”, the power grid marketing system is established, the main responsibilities of customer service center are assigned, and the main factors affecting pricing are extracted by bird swarm algorithm. Combining the rate of return on investment with the price cap regulation mode, a growth type short-term total level regulation mode of transmission and distribution electricity price is constructed. Simulation results show that the proposed control method has high accuracy in forecasting electricity demand and can give full play to the role of market price regulation.

Day-Ahead Residential Electricity Demand Response Model Based on Deep Neural Networks for Peak Demand Reduction in the Jordanian Power Sector

In this paper, a comprehensive demand response model for the residential sector in the Jordanian electricity market is introduced, considering the interaction between the power generators (PGs), grid operators (GOs), and service providers (SPs). An accurate day-ahead hourly short-term load forecasting is conducted, using deep neural networks (DNNs) trained on four-year data collected from the National Electric Power Company (NEPCO) in Jordan. The customer behavior is modeled by developing a precise price elasticity matrix of demand (PEMD) based on recent research on the short-term price elasticity of Jordan’s residential and the analysis of the different types of electrical appliances and their daily operational hours according to the latest surveys. First, the DNNs are fine-tuned with a detailed feature analysis to predict the day-ahead hourly electrical demand and achieved a mean absolute percentage error (MAPE) of 1.365% and 1.411% on the validation and test datasets receptively. Then the predictions are used as input to a detailed model of the Jordanian power grid market, where a day-ahead peak-time demand response policy for the residential sector is applied to the three distribution power companies in Jordan. Based on different PEMD analyses for the Jordanian residential sector, the results suggest a reduction potential of 5.4% in peak demand accompanied by a cost reduction of USD 154,505 per day for the Jordanian power sector.

Design of Multi-mode Heterogeneous Fusion Terminal for Power System

With the increasing demand of users and power supply quality in the power grid market, this puts forward higher requirements on the power system. However, the traditional power system has many limitations. People need to be able to upgrade on the basis of the traditional power grid to adapt to changing requirements. The purpose of this paper is to study the design of multi-mode heterogeneous fusion terminal in power system. This article is based on two wireless network technology solutions, GPRS wireless public network and LTE-230 wireless private network, a hardware development platform with STM32F107VCT6 microprocessor as the core, and a μ C/OS-III embedded real-time operating system software development platform, has designed the multi-mode heterogeneous fusion terminal of the electricity information collection system. This article deeply analyzes the demand for multi-mode heterogeneous fusion terminals of the electricity consumption information collection system, which is mainly used for the collection of electricity consumption information and the marketing and distribution automation management of power services; then it analyzes the work of the GPRS network and the LTE-230 network Principle and network system structure. This article designs the communication driver and application program, and analyzes the software architecture in detail. According to the logic processing structure of the internal data of the multi-mode heterogeneous fusion terminal, this article designs the data forwarding process in detail. In this paper, protocol conversion test, interface test and communication test are carried out on multi-mode heterogeneous fusion terminal. The test results show that when the system buffer K is 2 or 4, that is, if the average size of each message in the system is 100 Bytes, and the buffer is set to 800 Bytes, the system loss rate will approach zero.

Some aspects of the problem of energy efficiency and energy saving in Russia

The article is devoted to the analysis of the current state of the Russian energy sector in the context of the gradual reform of the industry. The authors focused their attention on topical issues of energy efficiency and energy saving, using the methodology of space-time and comparative approaches to study. The following are highlighted as topical study tasks: 1) identification of trends and factors of changes in energy consumption of traditional and renewable energy sources, achievement of energy efficiency in Russia and abroad; 2) determination of the potential for investment attractiveness of traditional and renewable Russian energy; 3) substantiation of directions for increasing the level of energy efficiency and energy saving by reducing investment risks in the industry, improving the policy of tariff regulation, gradually eliminating cross-subsidizing, completing the consolidation processes in the power grid market, creating conditions for development of small-scale energy. In accordance with the tasks set, domestic and foreign scientific study in the field of energy conservation and energy efficiency, data from industry statistics, Rosstat are summarized. The results obtained are an intermediate stage in the study of the raised problem and may require clarification.

STUDY ON OPERATION AND MAINTENANCE RESOURCE SCHEDULING METHOD OF POWER GRID MARKETING SYSTEM BASED ON SENSITIVITY CLUSTERING

Aiming at the problem of low precision in operation and maintenance resource scheduling of traditional power grid marketing system, a method of operation and maintenance resource scheduling of power grid marketing system based on sensitivity clustering is proposed. Use operation and maintenance technology to collect key data of power grid, application operation state and online data of operation supporting environment, and integrate resources. On this basis, resource scheduling processing is carried out after analyzing resource scheduling requirements. The resource table and corresponding resource fields are selected to obtain the operation and maintenance resource scheduling set of the power grid marketing system, so as to realize the operation and maintenance resource scheduling of the power grid marketing system. The experimental results show that this method is more accurate than the traditional one and has practical application significance.

基于数据图谱技术的电网营销数据图谱构建研究

基于数据图谱技术的电网营销数据图谱构建研究

DEA Based Research on Investment Efficiency of Power Grid Marketing Project

This paper combines DEA analysis method with screening index to evaluate the input and output efficiency of power grid marketing project, as well as making empirical analysis on the investment efficiency of power grid marketing project of 11 power companies in a province. The analysis results can be used for performance evaluation of each company, and supporting their management decision on capital allocation.

Application scenario analysis of Power Grid Marketing Large Data

In recent years, large data has become an important strategic asset in the commercial economy, and its efficient management and application has become the focus of government, enterprise and academia. Power grid marketing data covers real data of electricity and other energy consumption and consumption costs and so on, which is closely related to each customer and the overall economic operation. Fully tap the inherent value of marketing data is of great significance for power grid company to make rapid and efficient response to the market demand and improve service level. The development of large data technology provides a new technical scheme for the development of marketing business under the new situation. Based on the study on current situation of marketing business, marketing information system and marketing data, this paper puts forward the application direction of marketing data and designed typical scenes for internal and external applications.

Research on Bill of Engineering Quantity and Calculation Standard for Power Grid Marketing Project

As a construction project tender and valuation method, the bill of engineering quantity has been widely used at home and abroad. According to the relevant requirements of Power Grid Corp, in this paper, the bill of the engineering quantity of power grid marketing project and its calculation specification were studied and discussed. Coding rules, item name, item future, units, engineering quantity calculation rules and work content of Power Grid marketing project were mainly researched, compilation method of the bill of quantity was formulated, and the specification of engineering quantity for marketing project was formed. The paper provides standard and basis for the bid invitation and settlement review.

Summary of the Stability Chanllenges and Safe Operation of Power Systems in View of Dispatching

The Internet and the gradual implementation of the continuous power grid market in recent years make the power system more complex under different operating environment. Safe and stable operation of power grids have become increasingly important . With the rapidf development of the grid and constant innovation, safe and stable operation also has a new requirement , because the rapid development of the power system brings more This paper analyzes the causes of blackouts and reviews security of the power system stability problems related to measures on the security and stability of the power system operation .

PHEV 시장 형성 시 전력망에 미치는 영향 및 최적 충전 제어 전략에 관한 연구

Plug-in hybrid electric vehicle (PHEV) with capability of being recharged from the power-grid will reduce oil consumption. Also, the PHEV will affect the utility operations by adding additional electricity demand for charging. In this research, the power-grid impact by demand of PHEV charging is presented and the optimal charging control strategy for utility operators is proposed with simulated data. The penetration of PHEV is assumed to be 50% in the circumstances of Korean passenger car market and Korean power-grid market limitedly. To obtain smooth load shape and utilize the surplus electricity in power-grid at midnight and dawn, the peak of charging demand should be controlled to be located before 4:00 a.m., and the time slot which can supply the electricity power to PHEV should be allowed between 1:00 a.m.7:00 a.m.