
Organized by the China Electricity Council and Adsale Exhibition Services Ltd., the 32nd International Exhibition on Electric Power Equipment and Technology (EP Shanghai 2025) , along with the International Exhibition on Energy Storage Technology and Application (ES Shanghai 2025) and Hydrogen Energy Expo, will take place on November 18–20, 2025, at Shanghai New International Expo Centre (Hall N1–N5 & W5) . [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.

Superconducting energy storage systems utilize superconducting magnets to convert electrical energy into electromagnetic energy for storage once charged via the converter from the grid, magnetic fields form within each coil that is then utilized by superconductors as magnets and returned through power converters for use elsewhere when required – like back into grid power or loads via power converters that manage the exchange. [pdf]

This comprehensive paper, based on political, economic, sociocultural, and technological analysis, investigates the transition toward electricity systems with a large capacity for renewable energy sources combined with energy storage systems (ESS), along with a comprehensive overview of energy storage technologies; the role of AI in the development of ESS is also presented. [pdf]
However, the expansion of energy storage systems is not easy, and acceptance of them requires essential factors such as adjustments in use, price, technology (renewable), correct policies, etc. . Therefore, strategic planning and appropriate actions at the provincial, national, and local levels are vital .
As the essential systems for energy storage are heat pumps and batteries, the development and improvement of these technologies should be taken into account. However, government authorities, national governments, and local officials can contribute positively to promoting energy storage expansion through their influence.
Innovative solutions play an essential role in supporting the transition to a new energy-saving system by expanding energy storage systems. The growth and development of energy storage systems should be central to planning infrastructure, public transport, new homes, and job creation.
Here we conduct an extensive review of literature on the representation of energy storage in capacity expansion modelling. We identify challenges related to enhancing modelling capabilities to inform decarbonization policies and electricity system investments, and to improve societal outcomes throughout the clean energy transition.
Using PEST analysis, we demonstrated that governments, national officials, and people have key roles in expanding energy storage systems for renewable power integration. Figure 1 shows the framework of the methodology of this paper. It implies that a collaboration between officials and people is necessary to expand energy storage.
As a result, scientific and efficient storage expansion planning (SEP) has become a critical task in promoting the energy transition. Although numerous studies have thoroughly explored the advancements of energy storage technologies, a comprehensive and systematic review of SEP is still remains underexplored.
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