
Based on time-of-use electricity price in the user side, the capacity optimization model of the shared energy storage was constructed with minimizing the daily operating cost of the user group with the configuration of the shared energy storage as the objective, including the investment and operation and maintenance cost of energy storage, the electricity cost of the user side, and the service cost of the shared energy storage. [pdf]

The basic base station equipment for digital mobile communications systems consists of amplifiers (AMP) to amplify the transmission and reception signals to desired levels, modems (MDE) to convert base band signals to high-frequency signals, speech processors (SPE) to convert voice signals to digital code strings, base station control equipment (BCE) that allocates radio channels and switches over channels with adjacent base stations, and the base station antennas (ANT). [pdf]

This article takes four renewable energy sources (solar energy, wind resources, hydro energy, and energy storage) as the research basis, optimizes the energy storage configuration of their comprehensive energy bases, constructs an energy storage configuration optimization model, and verifies the feasibility of the model and algorithm through case analysis, providing positive impetus for sustainable energy development. [pdf]
Based on the actual data of wind-solar-storage power station, the energy storage capacity optimization configuration is simulated by using the above maximum net income model, and the optimal planning value of energy storage capacity is obtained, and the sensitivity analysis of scheduling deviation assessment cost is carried out.
New energy power plants can implement energy storage configurations through commercial modes such as self-built, leased, and shared. In these three modes, the entities involved can be classified into two categories: the actual owner of the energy storage and the user of the energy storage.
Energy storage configuration models were developed for different modes, including self-built, leased, and shared options. Each mode has its own tailored energy storage configuration strategy, providing theoretical support for energy storage planning in various commercial contexts.
In the context of increasing renewable energy penetration, energy storage configuration plays a critical role in mitigating output volatility, enhancing absorption rates, and ensuring the stable operation of power systems.
This paper proposes tailored energy storage configuration schemes for new energy power plants based on these three commercial modes.
It also studies the control method of energy storage system to improve the friendliness of wind and solar power generation, based on the control strategies such as smoothing new energy output fluctuations, tracking planned power generation, peak shaving and valley filling, and participation in system frequency modulation.

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 .
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