
The system collects and integrates the data of wind farms and decentralized wind turbines, and presents each turbine's power generation, output, operation status, power generation status, fault information and other important parameters from three levels: wind farms, wind turbines and components by Web page and cell phone APP, so as to monitor the operation of wind turbines anytime and anywhere. [pdf]
Through handling large-scale plants, we have refined our remote monitoring technology to monitor equipment status and detect prediction using various sensors. Utilizing these technologies, human resources, and experience, we will develop comprehensive O&M services for offshore wind power generation facilities.
O&M (operation and maintenance) for offshore wind power generation is much more difficult than that for onshore facilities, and the impact of equipment failures will be greater and more critical. We have provided EPC and O&M services for various power generation facilities, including onshore wind power generation facilities.
Effective operation and maintenance (O&M) management is significant for enhancing the economic performance of offshore wind farms. Despite recent research progress in O&M, there remains a gap in integrating health prognostics and spare parts inventory into decision-making processes at the scale of offshore wind farms.
Moreover, in practical O&M for offshore wind farms, it is common for the original equipment manufacturer (OEM) or maintenance service provider to assume dual roles as decision-makers responsible for both maintenance planning and spare parts provision.
The O&M scheduling strategy of offshore wind farms refers to arranging appropriate maintenance tasks and power generation tasks according to the operating status, maintenance requirements, resource conditions, and other factors of wind farms, to improve the economy and reliability of wind farms.
Up to 30% of the total cost of wind energy is attributed to operation and maintenance (O&M) , , and maintenance activities and spare parts account for the largest portion (43%) of O&M for wind turbines .

This Technical Brochure provides design guidelines for substations connecting battery energy storage solutions (BESS) across the life-cycle stages from design and development through to commissioning and asset management of the substation including a method for the evaluation of the output rating and performance at the point of common coupling (PCC), installation advisory, maintenance and commissioning recommendations from recent BESS projects for conceptual understanding of the overall design. [pdf]

Utilizing convolutional neural networks to train composite energy storage parameters, introducing softmax classifiers to identify the discharge state of composite energy storage, simulating energy storage capacity, light intensity, and temperature as inputs to the convolutional neural network, and using genetic algorithms to solve the output value of composite energy storage control, achieving adaptive adjustment of composite energy storage in distribution networks. [pdf]
As multiple types of Energy Storages Systems (ESSs) are integrated into Active Distribution Networks (ADNs), their distinct physical characteristics must be individually considered. This complexity accentuates the non-convex and nonlinear of collaborative optimization dispatch for ADNs, posing challenges for traditional solution methods.
To achieve economic and safe operation of the distribution network, an active distribution network-network planning model considering the dynamic configuration of energy storage system energy storage is constructed. This model focuses on energy storage batteries with high ease of use, high modularity, and strong mobility.
After applying the DG grid planning model of ADN energy storage dynamic configuration, the reliability of residential power supply significantly improved, with an improvement rate of 23.56%. Therefore, the maximum power consumption should be considered in the planning of regional variable voltage capacity and distribution network structure.
The reliability index of electricity consumption was improved. The distribution network framework planning method that considers dynamic energy storage configuration can reduce the network construction cost of distribution network operators, while improving the economic benefits of distribution network operators.
Considering the difference of initial state of each cell, a capacity allocation method of energy storage system (ESS) for ADN considering health risk assessment is proposed in the paper.
Based on the above analysis, an ADN network planning model that considers the ESS energy storage dynamic configuration is constructed. Based on the analysis of network structure planning, this model considers the flexible configuration of energy storage in different scenarios of ADN. The role of ESS dynamic energy storage in ADN is maximized.

A communication base station, wind-solar complementary technology, applied in the field of new energy communication, can solve the problems of inability to utilize wind energy to a greater extent, inconvenience, control of fan blades, etc., so as to improve the utilization rate of wind energy, reduce the probability of damage, and increase the contact area. [pdf]
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