A Configuration and Scheduling Optimization Method for Integrated Energy Systems Considering Massive Flexible Load Resources

Zihao Wang ¹ Shenhua Wang ^2* Hanwen Ni ¹ Junyin Wang ¹ Jun Zhang ¹

• ¹ College of Electrical Engineering and New Energy, China Three Gorges University, Yichang, China
• ² State Grid Zhejiang Wuyi County Power Supply, Jinhua, Zhejiang Province, China

To improve the economic and environmental performance of integrated energy systems, this paper proposes a configuration and scheduling optimization method that addresses the challenges posed by flexible multi-energy load regulation and the uncertainty of renewable energy integration. A system model encompassing multiple energy supply such as electricity, heat, cooling, and gas as well as conversion equipment is constructed in this paper, incorporating controllable loads, shiftable loads, and replaceable loads to improve system flexibility, adaptability, and responsiveness to complex operating environments. To address the uncertainties in wind and photovoltaic power generation, Weibull and Beta distributions are used for modeling, respectively. K-means clustering and Monte Carlo methods are combined to generate typical scenarios, providing accurate data support for the optimization of configuration and scheduling. The optimization model comprehensively considers annual investment costs, operation and maintenance costs, and the costs of curtailed wind and solar power, and constructs a scheduling objective function aimed at balancing economic and environmental performance. An enhanced Kepler Optimization Algorithm is proposed, which improves the population initialization and search mechanism to accelerate convergence and ensure global optimality of solutions. Simulation results show that this proposed method significantly improves system operation efficiency and renewable energy utilization under typical scenarios while effectively reducing economic and environmental costs, validating the effectiveness of the model and algorithm. Under the condition where the wind and solar penalty price is 50% of the time-of-use electricity price, the operating mode of the hydrogen equipment in integrated energy systems, which simultaneously converts natural gas and generates electricity, has the highest investment cost but the lowest operating cost, resulting in the best overall economic performance. Compared with other operation modes of hydrogen, the daily average cost is reduced by 12.92%, and external electricity purchases are reduced by an average of 20.2 MW.h/day.