[Objective] Inner Mongolia is actively promoting the development of clean energy heating to achieve environmentally friendly and sustainable winter heating goals. However

the uncertainty of wind and solar power output

coupled with fluctuations in heating demand driven by temperature variations

leads to supply-demand mismatches and challenges in power supply reliability and security. These issues have become critical bottlenecks restricting the development of clean energy heating. To enhance the economic viability and feasibility of clean heating

this paper proposes an optimal dispatch method for a new energy heating system that integrates green power direct supply security constraints with the collaborative dynamic planning of supply

usage

and storage. [Methods] First

the K-means clustering method is employed to consolidate historical data from the heating season in Inner Mongolia into typical energy supply and demand scenarios

with the optimal number of clusters determined comprehensively. Second

constrained by voltage deviation

time-series power flow simulations are conducted to determine the hourly charging/discharging schemes for energy storage batteries

capacity configurations

and forecasted wind and PV output values under different scenarios. On this basis

leveraging the green power consumption strategy of the clean heating system

a multi-scenario integrated electricity and heat energy system is constructed. Electric boilers are selected as the core equipment for electro-thermal conversion

primarily powered by supporting wind and PV stations

with gas boilers configured as a backup heat source. Finally

using the distribution network simulation results as boundary conditions

an economic optimization dispatch model is solved

aiming to minimize operational and environmental costs. [Results] A case study validates the feasibility and effectiveness of the proposed collaborative heating optimization model

which integrates time-series simulation with economic dispatch. For a high-proportion new energy system with a penetration rate of 134%

and under the established grid structure and energy flow direction

the model achieves optimized electrochemical energy storage configuration and refined collaborative operation of electro-thermal equipment. A multi-scenario energy storage configuration scheme and operation strategy are proposed

with storage capacity accounting for 10.88% to 43.52% of the installed capacity of the wind and PV stations. Ultimately

a safe and stable heating strategy based on an unstable power supply is formulated. [Conclusion] The proposed method can effectively suppress voltage violations

reduce voltage fluctuations

and replace traditional CHP units with a combination of “wind power/photovoltaics

electric heating

and electro-thermal hybrid storage”. This significantly enhances renewable energy consumption capacity

voltage stability control

and the system's economic and environmentally friendly operational performance.