The increasing uncertainty and volatility of net load caused by the high penetration of renewable energy leads to higher demand tariffs for industrial park and
Shared energy storage (SES) enables users to withdraw electrical energy from shared . This paper proposes a P2P energy trading model combined with SES and studies a
A simulation analysis is conducted using a shared hydrogen energy storage - park cluster system. Different dispatch models are constructed for comparison, including decentralized and
However, the high cost has become an obstacle to hydrogen energy storage systems. The shared hydrogen energy storage (SHES) for multiple renewable energy power
In order to achieve digital and intelligent upgrading of traditional industrial parks, and support high-quality regional development and renewable energy consumption, there is an urgent need for
Building upon the cooperative operation of shared hydrogen energy storage and park cluster, a quantitative model for assessing multiple values is introduced to accurately
First, a joint planning model for park-level integrated energy systems with shared energy storage is established to minimize the total investment and operation costs of the grand
First, a joint planning model for park-level integrated energy systems with shared energy storage is established to minimize the total investment and operation costs of the grand
Then, a comprehensive life-cycle cost-income analysis framework and a two-stage SES optimization configuration model is developed. The proposed model is solved by
With the gradual exposure of the shortcomings of the independent ESS(energy storage system) and the further development of the sharing economy, SES(shared energy storage) has begun
In recent years, the energy consumption of data centers (DCs) has shown a sharp upward trend. Given the high investment cost of energy storage, this study introduces
However, this leads to challenges such as high investment costs and extended payback periods. This paper presents a multi-microgrid energy storage sharing (SES) model.
The shared economy as an emerging commercial model has attracted much attention and is widely applied in smart grids. This paper is focused on the state of the art of
The authors in Ref. [19] developed a tri-level programing model for the optimal shared energy storage allocation, comparing profits between shared and nonshared storage
Finally, the simulation analysis is carried out. The simulation results show that the addition of joint demand response and shared energy storage can guide the scheduling
Therefore, this paper proposes two CHP-SES design modes involving shared electrical energy storage and shared thermal energy storage, including three system
To solve the problems of a single mode of energy supply and high energy cost in the park, the investment strategy of power and heat hybrid
The growing integration of renewable energy and electric vehicle loads in parks has intensified the intermittency of photovoltaic (PV) output and demand-side uncertainty,
Abstract The emergence of the shared energy storage mode provides a solution for promoting renewable energy utilization. However, how establishing a multi‐agent optimal operation model
Hence, considering the various scenarios and electric vehicles'' uncertainties, this paper develops a three-layer planning and scheduling model for the electric vehicle
The energy sector''s long-term sustainability increasingly relies on widespread renewable energy generation. Shared energy storage embodies sharing economy principles
A optimization scheduling model for multi-park integrated energy systems considering shared energy storage and uncertainty of demand response is proposed.
As a new paradigm of energy storage industry under the sharing economy, shared energy storage (SES) can effectively improve the comprehensive regulation ability and
Integrated energy systems within communities play a pivotal role in addressing the diverse energy requirements of the system, emerging as a central focus in contemporary
Applying shared energy storage within a microgrid cluster offers innovative insights for enhancing energy management efficiency. This investigation tackles the financial
With the rapid development of integrated energy systems in industrial parks and the gradual maturation of shared energy storage business models, the optimal dispatch of shared energy
In summary, the shared energy storage model can be outlined as follows: SESO and MMG form a shared network through negotiation, determining storage capacity and
The high uncertainty of power generation in photovoltaic microgrids and the high cost of energy storage allocation limit the development
A double-layer robust optimization method for capacity configuration of shared energy storage considering cluster leasing of wind
However, the reassignment of computing tasks among DCs leads to different energy demands of different DCs. Given that the investment cost of energy storage is high, this
The energy sector''s long-term sustainability increasingly relies on widespread renewable energy generation. Shared energy storage
Shared energy storage services are particularly important in the emerging economic model, as they help overcome many of the problems faced
A optimization scheduling model for multi-park integrated energy systems considering shared energy storage and uncertainty of demand response is proposed. The uncertainty model of demand response is constructed by interval Type-2 fuzzy theory. A distributionally robust optimization approach is proposed to handle the uncertainty of demand response.
In summary, this study introduces shared energy storage systems and demand response, effectively smoothing the load curve and improving system economics and renewable energy integration rates. When considering uncertainty in demand response, the electric energy rotational reserve constraint enhances the system's reliability but increases costs.
During the period from 10:00 to 18:00, when renewable energy output is high, in addition to supplying power to Parks 1 and 2, there is an abundance of electricity available. To avoid wind and solar curtailment penalties, the shared energy storage system operates at or near full load.
Through simulation analysis, the following conclusions can be drawn: Compared to not considering shared energy storage systems, introducing SES can reduce the total system cost by 4.86 % and lower the penalty cost for curtailed wind and solar power by 84.94 %.
Compared to single-application scenarios, shared energy storage participating in grid ancillary services across multiple applications offer advantages such as more efficient scheduling and operation, greater controllability over safety and quality, and more prominent economic benefits .
One is during the off-peak electricity and natural gas price period from 00:00 to 10:00, during which the multi-park integrated energy system mainly relies on external electricity and gas purchases.
