Based on Deep Regulation of Electric Heating Loads for Distributed Photovoltaic Consumption

With the advancement of China's "Carbon Peak, Carbon Neutrality" strategic goals, the proportion of electric heating loads in northern regions during winter has been steadily increasing, alongside the growing prevalence of distributed photovoltaic (PV) systems in rural areas. This paper proposes an optimization operation strategy for electric heating and PV integration based on the adjustable potential of electric heating loads. By employing thermodynamic modeling to quantify the adjustability of electric heating loads and aiming to maximize PV consumption, a joint optimization model is established. The study validates this approach using a 10kV distribution line with distributed PV systems in a suburban area of Beijing. Results show that this strategy significantly enhances PV consumption while ensuring user comfort, alleviating transmission congestion in distribution networks. It provides theoretical support and a technical pathway for achieving efficient energy management and green transformation.