Background Of Energy Internet Research Articles

An energy router based on multi-hybrid energy storage system with energy coordinated management strategy in island operation mode

With the high penetration of renewable energy, its intermittency and volatility also bring challenges to traditional power system such as maintaining reliable operation of system and improving the utilization of renewable energy. Under the background of Energy Internet (EI), energy router (ER) emerges as the times require. Aiming to improve the ability of support of energy storage units to DC buses and suppressing power shocks both inside and outside the ER, in this paper, an ER based on multi-hybrid energy storage system (MHESS) is proposed. As the principle of maximizing the utilization of renewable energy, a corresponding energy coordinated management strategy is proposed. Charging/discharging timespan optimization model is established to ensure MHESS as available as possible. The reference power of MHESS is allocated based on the proposed optimization model. Simulation analysis of different working conditions in 4 operation scenarios are carried out and the results show that the power oscillation on different buses of ER can be dampened within 0.1s and the bus voltages fluctuate within 2% while operation scenarios are switched, which verifies the feasibility and effectiveness of the proposed energy coordinated management strategy.

Energy management method of integrated energy system based on collaborative optimization of distributed flexible resources

Under the background of energy internet and low-carbon power, integrated energy system (IES) has become an important carrier of energy conservation and emission reduction. The IES utilizes innovative energy management mode to coordinate various energy sources such as natural gas, electric energy and heat energy. It is composed of energy production, conversion, storage and consumption subsystems, which emphasizes breaking the isolation of energy subsystems through reasonable scheduling, realizing energy cascade utilization and improving energy utilization efficiency. In this paper, an energy management model with two-stage scheduling before day and in real time is proposed aiming at the collaborative optimization of generator-load-storage of IES. Firstly, the first stage is the day-ahead economic dispatch, which aims to realize the power distribution of units in the system. The day-ahead economic dispatching model takes the maximization of economic benefits, the maximization of exergy efficiency and the minimization of carbon emission cost as the optimization objectives, so as to make the day-ahead global optimal dispatching decision. Secondly, the second stage is real-time optimal scheduling, which aims at real-time power adjustment of the previous scheduling plan. The real-time optimal scheduling model takes the minimum interactive power deviation punishment cost, wind abandonment punishment cost and user satisfaction loss cost as optimization objectives, so as to balance the energy supply and load demand deviation between planned output and actual output. Thirdly, according to the characteristics of the model, Non-dominated Sorting Genetic Algorithm-II (NSGA-II) is used to solve the first-stage day-ahead economic scheduling, and YALMIP toolbox is used to solve the real-time optimal scheduling model. Finally, based on the established model, a typical IES is selected for case simulation, which verifies that the proposed method can effectively improve the economy of system operation.

Adaptive Photovoltaic Power Computer Prediction Technology Using Deep Learning and LSSVM

Under the background of energy Internet, the effective prediction of renewable energy output by digital means is a key link in the realization of energy Internet technology. To solve this problem, an adaptive ultra-short-term PV power prediction method is proposed. The probability density distribution of the error under different weather conditions is analysed in detail. The difference model is used to predict the PV power in different application scenarios. The decision tree algorithm is used to classify different weather conditions, and the input characteristics under different weather conditions are used differently. For sunny and rainy weather conditions, shallow LSSVM and deep confidence network models are used to predict PV output in the future. Finally, the actual PV data of a place in Henan Province is used to verify that the prediction algorithm combined with deep learning and shallow model can effectively deal with the different prediction scenarios.

Research on Reserve Services of the Power Grid Under the Background of Energy Internet

Research on Reserve Services of the Power Grid Under the Background of Energy Internet

Integrated energy service business operation model and key issues research and prospects

At the present stage, China is faced with the problems of unreasonable energy consumption structure, difficult coordination of energy utilization and imbalance of energy supply and demand. Under the background of energy Internet, the commercial operation of comprehensive energy services will have a favorable impact on solving the problem of comprehensive utilization of energy in China and stabilizing the balance between energy supply and demand. This paper reviews the current research on the business operation mode of integrated energy service, summarizes the key problems in the business operation process of integrated energy service, and finally draws relevant conclusions based on the above content, and puts forward the improvement of the business operation mode of integrated energy service at the current stage.

Research on Virtual Power Plant’s Participation in Power Market under the Background of Energy Internet in China

Under the background of energy internet, a large influx of market entities participates in the interaction of “source network and load storage” and becomes an important resource for system regulation through the electricity marketization. Among them, the virtual power plant involves several market participators such as the distributed generation, demand side adjustable resources, distributed energy storage. The research of the operation mechanism and market-oriented trading organization for the virtual power plant becomes a popular topic in recent years. This paper proposes a novel mechanism for virtual power plants to participate in the electricity trading market, including the trading categories and auxiliary service which can be provided by the virtual power plant.

Research on development status and index system of electricity sales industry under the background of energy Internet

Energy development has entered the era of energy Internet. As the core link of power system, the development of power sales industry is affected by energy Internet. This paper first interpreted the connotation and architecture of energy Internet, then analysed the current situation of power sales industry and the changes in the context of energy Internet. On this basis, this paper constructed the development index system of power sales industry from four aspects of national society, power sales market, power users and innovation development, which provided a method for the development of power sales industry. Finally, it pointed out the challenges faced by the electricity sales industry and the government under the background of energy Internet, and put forward some suggestions.

Power Internet of Things card and infrastructure resources security supervision business model and platform construction under the background of energy Internet

In response to the national call to strengthen the construction of new infrastructure, State Grid Corporation takes the acceleration of new digital infrastructure as an important basis for transformation and upgrading and the realization of strategic objectives. With the surge in the number of power Internet of Things terminals and the demand for data processing, the development of Internet of Things card and infrastructure resource operation business has become the focus of the industry. This paper investigates and clarifies the business background, business positioning and research theory of the business platform, explains the basic framework, basic functions and implementation plan of the platform construction, and analyzes the market status quo and business model of the platform operation. This paper provides theoretical basis and case reference for the new digital infrastructure construction of State Grid Corporation, and has certain theoretical inspiration and practical significance for the construction of mutually beneficial, sharing and co-construction energy Internet ecology.

Technical System Construction in the Market Trading System for Demand Response Based on the Energy Internet

With the explosive growth of variable renewable energy, the balance between the supply and demand of the power grid is faced with new challenges. Based on the development experience from typical countries and the state quo in China, this paper further analyzes the system architecture and development trend of demand response under the background of Energy Internet. Five dimensions are considered: Energy Internet platform, demand response application scenarios, system architecture, information technology system construction, and demand response development trend. The results show that the application of the Energy Internet platform can effectively solve the problems of data acquisition and processing, “terminal-edge-network-cloud” cooperation of demand response, etc. The system architecture of the demand response platform that supports user resource management, user information access, control instruction receiving, control strategy issuing, and response process monitoring is proposed in this paper. It is also helpful to provide a feasible technical choice for expanding the application services of Energy Internet towards government and society.

Intelligent Detection and Recovery of Missing Electric Load Data Based on Cascaded Convolutional Autoencoders

Under the background of Energy Internet, the ever-growing scale of the electric power system has brought new challenges and opportunities. Numerous categories of measurement data, as the cornerstone of communication, play a crucial role in the security and stability of the system. However, the present sampling and transmission equipment inevitably suffers from data missing, which seriously degrades the stable operation and state estimation. Therefore, in this paper, we consider the load data as an example and first develop a missing detection algorithm in terms of the absolute difference sequence (ADS) and linear correlation to detect any potential missing data. Then, based on the detected results, we put forward a missing recovery model named cascaded convolutional autoencoders (CCAE), to recover those missing data. Innovatively, a special preprocessing method has been adopted to reshape the one-dimensional load data as a two-dimensional matrix, and hence, the image inpainting technologies can be conducted to address the problem. Also, CCAE is designed to reconstruct the missing data grade by grade due to its priority strategy, which enhances the robustness upon extreme missing situations. The numerical results on the load data of the Belgium grid validate the promising performance and effectiveness of the proposed solutions.

Fuzzy Evaluation Method of Integrated Energy System Based on D-S Evidence Theory under the Background of Energy Internet

With the popularization and application of technologies in the energy and power industry, the Energy Internet has shown more open and inclusive characteristics. In this paper, combined with the characteristics of integrated energy system evaluation, from the three dimensions of energy production, transmission and distribution, and consumption, established the corresponding evaluation index system. At the same time, determining the index weight based on the AHP-entropy method, and using the statistical evidence theory fusion cycle multiple evaluation results, avoids the influence of the transient and steady state conditions such as to improve the reliability of the evaluation results, forms a integrated energy system evaluation method based on evidence theory. Finally, this paper takes a park as an object to evaluate the operation level of the integrated energy system in this area.

Review of Mathematical Methodology for Electric Power Optimization Problems

Electric power system is a physical energy system consisting of power generation, substations, transmission, distribution, and consumption. The objective of power system optimization is to improve power system security, economy, and reliability. This paper summarizes the classical mathematical optimization methods and modeling techniques of power system optimization associated with system planning, operation, and control. Along with the development of electric power industry, the concept of Energy Internet is addressed, which consists of power network, gas network, and transportation network. Under such new environments, electric power optimization faces some challenging with respect to the cooperation of multi-energy networks. According to the design structure and operational characteristics of the Energy Internet, some research areas of electric power optimization are presented from the view of mathematical optimization modeling and calculation. The aim is to provide some optimization methodology to solve the optimal issues of power system under the background of Energy Internet.

Research on the Medium and Long Term Development Framework of Smart Grid under the Background of Energy Internet

Abstract This paper focuses on the development of smart grid in the trends of the energy Internet, analyze the development situation of smart grid and studies the requirements for the construction of major advanced smart grid demonstration areas in China. Under this background, this paper proposes medium and long term China smart grid development strategies, key tasks, technical routes and implementation plans. And planning practices in typical regions are carried out to support the implementation of major national strategic decision-making deployments.

Electricity–gas‐integrated energy planning based on reward and penalty ladder‐type carbon trading cost

Given the background of energy Internet and low-carbon electricity, the integrated energy system has become an important carrier of energy conservation and emission reduction. This study establishes an electric–gas-integrated energy system planning model that considers carbon trading. First, carbon trading is introduced into the planning model. A reward and punishment ladder-type carbon trading cost model is proposed, and its restriction on carbon emission is analysed. On this basis, a planning model is established, to minimise the total costs including the investment cost, operation cost, and carbon trading cost. Finally, the discrete bacterial colony chemotaxis algorithm is applied to solve this model. The simulation results of the three planning models are compared and analysed by simulation examples, which verify the effectiveness of the proposed model in balancing the low carbon and economic efficiency of the system. The impact of carbon trading price on system planning and operation is analysed.

Research on Distributed Energy Storage Operation Mode and Technical Economy under the Background of Energy Internet

Energy storage subverts the traditional concept of source-network-load, breaks the inherent property of power supply and consumption at the same time. Distributed energy storage plays an important role in the energy internet. The paper introduces the technical characteristics of distributed energy storage, builds typical application scenes under the energy internet environment. Given this background, two typical operation modes of customer-side distributed energy storage are proposed based on different operational objectives and constraints. After studying the basic strategy of the operating model and evaluating the distributed energy storage economy from the perspective of users and electricity retailers, it can be concluded that distributed energy storage is able to effectively improve system flexibility and energy utilization. Its economy is determined by various factors such as technical route, configuration capacity, and electricity price. A reasonable operation mode can promote the sustainable development of distributed energy storage.

A Renewable Energy Assessment Model Considering the Effect of Frequency Regulation

Under the background of energy Internet, a high proportion of renewable energy is connected to the power system, and its volatility and randomness make the flexibility of the power system itself increasingly important in dealing with the fluctuation of net load. In order to evaluate the limit capacity of renewable energy consumption under the given power structure and the future absorption prospect of regional power grid, a renewable energy evaluation model considering the effect of frequency regulation is proposed in this paper. This method fully considers the role of frequency regulation in dealing with the uncertainty of renewable energy, establishes the absorption index from the perspective of absorption capacity and absorption efficiency, and comprehensively evaluates the absorption capacity of renewable energy from the perspective of frequency modulation, slope climbing and other time scales. Finally, the model is verified by a ten-machine system.

Design and development of a new-type terminal for smart electricity use in the energy USB system

With the in-depth development of energy Internet, the requirements for smart electricity use (SEU) in a comprehensive energy system is higher. Aiming at the current smart electricity controllers that can only realize the monitoring of voltage, current, power and electricity consumption, while neglecting the impact of environmental quality on electricity use behaviours, this paper designs and develops a new type of terminal for SEU in the energy universal service bus system (USB), based on the techniques of digital signal processing, wireless communication and intelligent sensing. A detailed modular hardware design is given for the terminal, as well as the software design, apart from the basic functions, the terminal can complete harmonic analysis, wireless communication, on-off controlling, data display, etc. in addition, take the user perception into account through collecting the ambient temperature and humidity, as well as detecting indoor environment comfort, so that promoting home electricity use optimization. The terminal developed can play an important role in the energy USB system under the background of energy Internet, and the paper ends by giving the testing results which verify the effectiveness, intelligence and practicability of the terminal.