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The high proportion of renewable energy integration to industrial parks has become the main way for energy-intensive industrial loads to achieve low-carbon transition. The sharp and frequent power fluctuation of tie-line is the key problem of low-carbon transition for industrial parks. Therefore, an industrial park tie-line power smoothing strategy considering production safety is proposed. First, the control model of the production equipment for electrolytic aluminum and arc furnace is analyzed, the power closed-loop feedback control model of industrial load is established based on power fluctuation feedback. Then, considering the core influencing factors of industrial production, the state of temperature with energy-intensive equipment is established, a control cost model for demand response is formed, and the control objective to each industrial load is assigned based on the optimization objective for the minimum penalty cost. Finally, the MATLAB online calculation and RTDS simulation real-time interactive example is established based on Wenshan power grid in Yunnan Province. The simulation results show that the smelting temperature is updated adaptively, the influence of power regulation on production is reduced effectively, and the economic cost of tie-line is reduced by 36.4%.

Demand responsive industrial loads with high thermal inertia have potential to provide ancillary service for frequency regulation in the power market. To capture the benefit, this study proposes a new hierarchical framework to coordinate the demand responsive industrial loads with thermal power plants in an industrial park for secondary frequency control. In the proposed framework, demand responsive loads and generating resources are coordinated for optimal dispatch in two-time scales: (1) the regulation reserve of the industrial park is optimally scheduled in a day-ahead manner. The stochastic regulation signal is replaced by the specific extremely trajectories. Furthermore, the extremely trajectories are achieved by the day-ahead predicted regulation mileage. The resulting benefit is to transform the stochastic reserve scheduling problem into a deterministic optimization; (2) a model predictive control strategy is proposed to dispatch the industry park in real time with an objective to maximize the revenue. The proposed technology is tested using a real-world industrial electrolysis power system based upon Pennsylvania, Jersey, and Maryland (PJM) power market. Various scenarios are simulated to study the performance of the proposed approach to enable industry parks to provide ancillary service into the power market. The simulation results indicate that an industrial park with a capacity of 500 MW can provide up to 40 MW ancillary service for participation in the secondary frequency regulation. The proposed strategy is demonstrated to be capable of maintaining the economic and secure operation of the industrial park while satisfying performance requirements from the real world regulation market.