T/XJBX 0152-2025 Active Group standards

T/XJBX 0152-2025 Smart grid energy storage and shared energy optimization configuration regulations

Publish Date: 2026-01-23 Implement Date: 2026-02-01 For services related to genuine standard inquiry, procurement, translation, and other related services in China, please Contact Us

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Basic Information

Standard Code: T/XJBX 0152-2025

Standard Type: Group standards

Standard Status: Active

is_force_gb: no

CCS Name: -

ICS Name: The integrated transmission and distribution network

Publish Date: 2026-01-23

Implement Date: 2026-02-01

Scope

The construction of a new power system promotes the accelerated evolution of the power supply structure towards a high proportion of renewable energy. The operation of the power grid exhibits characteristics such as increased randomness, intensified volatility, bidirectional power flow, and frequent interaction between supply and demand. Power storage and shared energy, as important resources for enhancing system flexibility, play a key role in peak shaving, frequency regulation, backup support, improving the integration of new energy, alleviating grid congestion, and enhancing power supply reliability. At the same time, the diversity of storage resource types, the plurality of access levels, and the complexity of control entities, combined with factors such as power market mechanisms, time-of-use tariffs, auxiliary services, capacity compensation, and carbon management, make "how to achieve optimal allocation and coordinated control under multiple objectives, constraints, and stakeholders" the core issue of smart grid operation and planning. Common problems in engineering practice include: mismatch between the location and capacity of energy storage and the spatial-temporal characteristics of loads/new energy; unclear boundaries and profit-sharing mechanisms for shared energy; disconnect between control strategies and safety constraints; and inaccurate optimization models due to inconsistent data standards across different systems, which in turn prevent the implementation of optimization results into device-level control instructions. To improve the scientificity, executability, and evaluability of energy storage and shared energy deployment, this document proposes integrated planning and operation requirements for smart grid scenarios, emphasizing data-based foundations, model-centered approaches, constraint-driven frameworks, and evaluation-based closed-loop systems, forming a full-process technical application protocol from resource modeling, solution optimizat