Abstract

For the regenerative electric heating system, on the premise of ensuring reliable heat supply to users, a day-ahead optimization scheduling method for the regenerative electric heating system considering the load imbalance is proposed. First, users' heating demand under normal working conditions and grid power rationing scenarios are calculated by estimate index method. Then, in order to match the heating demand of users and reduce the load imbalance caused by thermal storage electric heating in the distribution network, comprehensive consideration of grid constraints and the adjustable capacity of regenerative electric heating load, the operating strategy of the thermal storage electric heating system is studied. Reasonable control of heat storage and release in regenerative electric heating can not only reduce the distribution line pressure during heating period, but also maximize the accommodation of low-cost electricity such as surplus renewable energy and improve the economic benefits of the system. Taking the regenerative electric heating system in Chongli area of Zhangjiakou, Hebei Province as an example, the multi-objective optimal scheduling model is simulated and analyzed, and the feasibility and effectiveness of the proposed optimal scheduling strategy are verified.

Highlights

  • Coal-fired heating methods have led to serious environmental pollution problems in the northern region in winter

  • Direct heating electric heating equipment access to the distribution network is prone to high power consumption at the same time, large power consumption, and daily peak time overlap, the superposition effect will cause the phenomenon of ‘peak increase’, affecting the safety and stability of power system

  • When electric heating uses clean energy such as wind power and photovoltaic power for heating, as the installed scale increases, and the operating mode of ‘heat-fixed electricity’ exists for heating units[5], this further exacerbates the phenomenon of wind curtailment and solar curtailment during the heating period in winter

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Summary

Introduction

Coal-fired heating methods have led to serious environmental pollution problems in the northern region in winter. Heat storage in valley period can effectively reduce the heating cost of the system In this field, some domestic and foreign scholars have conducted a lot of research: Literature [6,7,8,9] improved the flexibility and adjustability of the combined electric-thermal system and greatly improved the consumption of renewable energy by optimizing the capacity of the heat storage device. According to the simulation results, the heat storage and release behavior of the thermal storage device under different scheduling operation conditions of the electric boiler is analyzed, and the feasibility and effectiveness of the proposed scheduling strategy are verified

Heat load demand analysis
Day-ahead optimization scheduling model
Objective function
The case parameter
Normal working condition of power grid
Electricity limiting of power grid
Conclusion
Full Text
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