Free Quote
Welcome to inquire about our products!
Aiming at the fault modes of the AD system, a collective decision-making scheme coordinated by the AD system and the operation team is presented. The reliability of the proposed scheme is analyzed by using the
With the acceleration of supply-side renewable energy penetration rate and the increasingly diversified and complex demand-side loads, how to maintain the stable, reliable, and efficient operation of the power system has become a challenging issue requiring investigation. One of the feasible solutions is deploying the energy storage
Maintenance planning is a decision-making problem that aims at developing optimum maintenance policies and plans that help reduces maintenance costs, extend asset life, maximize their availability
This paper aims to introduce the need to incorporate information technology within the current energy storage applications for better performance and reduced costs. Artificial
As it can be seen from Fig. 6, after adopting the collective decision-making scheme proposed in the paper, the consequences of accident emergency decision-making include 3 failure (uncontrollable) modes, which are summarized and listed in Table 2, where, A ‾
To accelerate this process, this paper elaborates the research on intelligent pipeline systems from the perspective of the full life cycle of pipeline. The life cycle is divided into six stages, including exploration, feasibility study, design, construction, operation and scrap. In each stage, the related theoretical research and key
This chapter mainly focuses on these aspects and provides a general framework for optimal design and operation management of battery-based ESSs in
The innovative points are: (1) combining various new energy power generation technologies on the grid; (2) building a new energy power generation system
The research content of this paper is conducive to the aggregation of user-side scattered energy storage devices, the formation of scale effect, and ensure the
This paves the way for the development of smart Energy Management Systems (EMSs), in charge of implementing real-time decision making strategies to monitor, control and manage the MG energy flows and the connection with the grid [9].
Firstly, the current IES-IOM business process scheme is analyzed. Secondly, based on the business process optimization principle, the intelligent operation and maintenance
2.2 Construction method for power transformer maintenance knowledge graph. The construction method of a knowledge graph primarily includes knowledge-driven top-down approach, data-driven bottom-up approach, and a combination of both [] this paper, a combined approach of top-down and bottom-up is adopted, where the ontology
Results of several experiments demonstrate that the proposed decision model can construct a precise predictive policy for individual user, effectively reducing their cost and energy consumption
With the rapid development of industrial manufacturing, the operation and maintenance problems of the power system are becoming increasingly prominent, and traditional manual maintenance methods are no longer able to meet the needs. This article aims to provide better power support for manufacturing enterprises. This article
This study aims to analyze and optimize the photovoltaic-battery energy storage (PV-BES) system installed in a low-energy building in China. A novel energy
This paves the way for the development of smart Energy Management Systems (EMSs), in charge of implementing real-time decision making strategies to
The maintenance decision-making support system, MDMSS, is developed for maintenance decision-making of an aircraft fleet. As shown in Fig. 6, MDMSS covers the process of data acquisition (real-time status information of aircraft), data processing (reliability assessment of aircraft structures) and maintenance decision
The operation and maintenance costs of energy storage systems are mainly composed of three parts: energy storage construction cost, maintenance cost, and energy storage benefit. Among them, the energy storage benefits include the environmental benefits brought by the energy storage connected to the distribution
Energy efficiency performance-based prognostics for aided maintenance decision-making: application to a manufacturing platform J Clean Prod, 142 ( 2017 ), pp. 2838 - 2857, 10.1016/j.jclepro.2016.10.185
Traditional design, manufacturing and maintenance are run and managed independently under their own rules and regulations in an increasingly time-and-cost ineffective manner. A unified platform for efficient and intelligent design-manufacturing-maintenance of mechanical equipment and systems is highly needed in
During IES operation, various energy conversion and storage equipment are collaborated to achieve energy cascade utilization and complementarity, so as to satisfy the users'' multiple energy demands (Wang et al., 2017). The planning of IES, especially the reasonable configuration of the equipment, is the basis for ensuring the safe and stable
In Section 7.2, smart scheduling is described, including an overview of traditional scheduling methods, the need for smart scheduling, and prevailing techniques for smart scheduling. Predictive maintenance is discussed in Section 7.3, including an overview of maintenance strategies, focusing on time-based vs condition-based
Research on Design Method of Intelligent Operation and Maintenance System for Secondary Equipment in Intelligent Substation Honggang Kuang 1, Zongjun Hu 1, Xiaobin Li 1, Chao Feng 1, Can Gong 1, Jian Yan 1 and Chang Shu 1
Assume that there is a radial distribution network as shown in Fig. 1, and the line node K is connected to the DG.The following is a discussion of the impact of its access on the transient stability of the system. (a) The DG output P is less than the load P k at the access point K. at the access point K.
In order to verify the feasibility of the economic life intelligent maintenance decision-making method, consider a batch production line composed of 50 cutters, and use the economic lifetime decision model to carry out life maintenance, stabilize production, avoid major investment and maximize profits. 5.1. Experimental data preparation.
Intelligent operation and maintenance refers to the use of new-generation information and communication technologies (e.g., cloud computing, big data, the internet-of-things, and artificial intelligence) to achieve
Public buildings can improve the building energy efficiency through operation, maintenance, and control of energy-intensive units, such as ventilation systems (Gupta et al., 2017). While, a major task of the ventilation system is to provide the adequate ventilation rates to dilute the indoor pollutants.
4.1.1. Maintenance cost model learning The maintenance cost model at system level is learned via an ANN using the above dataset which is divided into training and validation set according to the splitting ratio of 4:1. The training hyper-parameters are presented in Table 2 and the mean squared loss is used to assess the model''s
This paper reviews the definition and composition of typical smart energy systems to provide a comprehensive and holistic understanding of smart energy
Research on Intelligent Operation and Maintenance Technology of Primary Equipment in Substation Kexin Zhang 1 under licence by IOP Publishing Ltd IOP Conference Series: Earth and Environmental Science, Volume 769, 3. Energy Technologies and 769
The bi-level model, shown in Fig. 2 consists of an upper-level wind farm station grid-connected system model and a lower-level shared energy storage model. These two models interact with each other and combined to achieve wind power grid-connected scheduling. The model incorporates load-side demand response, allowing for
In view of the current increasing new energy installed capacity and the frustration in outputting clean electricity due to limited channel capacity, the new energy intelligence operation system
With the rapid development of space technology, on-orbit service mission has attracted more and more attention in recent years [1, 2].As there are many high-value satellites in the geosynchronous earth orbit (GEO), the on-orbit service of GEO targets is strategic and important [3, 4] order to raise the efficiency of serving multiple GEO
The DT microgrid focuses on power prediction of RES generation, multi-energy complementary microgrid and source-grid-load-storage interaction for optimal
The optimization of energy storage capacity is considered from two aspects: economy and new energy utilization, taking the operation and maintenance cost and solar power curtailment of the energy storage system as the evaluation index, and the total capacity and total power of the energy storage system as the decision variables to
The current study proposes a intelligent maintenance decision-making system is as a fixed equipment maintenance strategies Gao, J., Hou, B., Wang, G. (2012). Design of Intelligent Maintenance Decision-Making System for Fixed Equipment in ) Web
Welcome to inquire about our products!