Intelligent Park Load Scheduling Optimization Method Considering Heat-Power Linkage

Aiming at the problem that the load peak-to-valley difference of the power system distribution network is high and the load volatility is large, this paper proposes an intelligent park demand response (DR) day-to-day scheduling strategy considering hybrid heating mode of heat-power linkage (HPL). Firstly, based on the analysis of the original load classification of the intelligent park, the intelligent park user load demand is divided into load replaced by heat (LRH) and load irreplaceable by heat (LIRH), and the energy consumption mode with flexible scale thermoelectric ratio is proposed. Then the minimum variance of the side load curve of the distribution network is taken as the goal, and the optimization model of the intelligent park load scheduling considering the HPL is constructed. The DR strategy considering the HPL is proposed. Finally, the rationality of the proposed scheme is illustrated by the calculation example. The results show that the load peak-to-valley difference and volatility are reduced, and the side load flexibility of the distribution network is enhanced.