Optimal Configuration of Hybrid Energy Storage System Catered for Low-Carbon Smart Industrial Park

Due to the driven of green development and continuous innovation in information technology, Chinese industrial park is striving to achieve “zero emission” of pollutants through various measures such as waste exchange, recycling, integrated energy utilization, cleaner and smart production, etc. For zero-carbon operation of energy utilization in industrial park, this paper studies the optimal configuration of hybrid energy storage system (ESS) in integrated energy utilization. Firstly, the energy flowing model is analyzed to adapt to the zero-carbon development. Then, considering uncertainties of renewable resources and load, three objectives with various constraints are constructed from investment cost, peak-load shifting and annual carbon emission. Also, the improved non-dominated sorting genetic algorithm (NSGA) is employed to solve it. Simulations on IEEE 33 bus with different green energy demonstrate that the constructed optimization models can achieve the balance of the investment and environmental protection. The proposed improved solving method may raise the convergence of solving nonlinear multiobjective under constrained condition.