| With the rapid development of the global economy and the depletion of fossil fuels,the energy shortage and environmental pollution problems faced by human society have becoming increasingly serious.The new energy represented by photovoltaic and wind cannot be absorbed in large quantities due to its high volatility and randomness.At the same time,most of the various energy supply systems are designed separately and the energy utilization rate is low.In response to the above-mentioned challenges in energy supply,energy environment,and energy efficiency,many countries have proposed many new energy utilization methods.One of the most effective methods is to build a comprehensive energy system with complementary utilization of multiple energies.The integrated energy system is a complex multi-energy coupling system.It is the key to realize its multi-energy coordination and safe economic operation by establishing an accurate model and performing reasonable optimization scheduling.Therefore,this article carries out related research on this,the main work is as follows:(1)Constructed an overall energy framework system for the integrated energy system of a battery production industrial park,and established a mathematical model of each distributed energy unit in the system,and at the same time modeled and analyzed the park’s unique productive energy storage,To provide support for the later optimization scheduling research.(2)Aiming at the optimal scheduling of the off-grid operation of the integrated energy system,a load recovery strategy considering the uncertainty and complementarity of the source load is proposed.Based on the Markov chain multiscenario technology,the uncertainty of wind and new energy output and load power is analyzed,and the source-load discrete combination optimization scenario set is obtained.On this basis,the source-load complementary index and load importance index are introduced,and the entropy weight method is used.Construct a comprehensive optimal index,and construct a load recovery strategy based on the comprehensive optimal index.The simulation results show that the proposed strategy can well take into account the energy utilization rate and the system safety margin,effectively cope with the impact of source load uncertainty,ensure the efficient execution of the original recovery plan,make full use of the limited energy of the system off-grid,and significantly increase the load.Recovery amount.(3)Aiming at the optimal dispatch of the integrated energy system’s grid-connected operation,a "day-ahead-day" multi-time-scale optimal dispatch strategy considering demand response and source load uncertainty is proposed.In the day-ahead scheduling stage,based on the discrete combination optimization scenario set,the electric vehicle and productive energy storage demand response mechanism is introduced,and the dayahead scheduling model is established with the goal of minimizing the overall expected daily operating cost of the system,and the day-ahead scheduling scheme is obtained by improving the particle swarm algorithm.In the intra-day rolling optimization phase,an intra-day scheduling plan based on the output of the day-ahead plan as a reference and the goal of the smallest adjustment amount is constructed,and the day-ahead plan is rolling revised based on the ultra-short-term load forecast.The simulation results show that the proposed scheme can effectively reduce the peak power load demand of the park,reduce the cost of electricity purchase,reduce the adjustment pressure of intraday scheduling,and ensure the better implementation of the day-ahead scheduling plan,thereby ensuring the economic and safe operation of the integrated energy system. |
