Optimal Configuration and Scheduling Model of a Multi-Park Integrated Energy System Based on Sustainable Development

Abstract

To maximize the utilization of renewable energy (RE) as much as possible in cold areas while reducing traditional energy use and carbon dioxide emissions, a three-layer configuration optimization and scheduling model considering a multi-park integrated energy system (MPIES), a shared energy storage power station (SESPS), and a hydrogen refueling station (HRS) cooperation based on the Wasserstein generative adversarial networks, the simultaneous backward reduction technique, and the Quantity-Contour (WGAN-SBR_QC) method is proposed. Firstly, the WGAN-SBR_QC method is used to generate typical scenarios of RE output. Secondly, a three-layer configuration and schedule optimization model is constructed using MPIES, SESPS, and HRS. Finally, the model’s validity is investigated by selecting a multi-park in Eastern Mongolia. The results show that: (1) the typical scenario of RE output improved the overall robustness of the system. (2) The profits of the MPIES and HRS increased by 1.84% and 52.68%, respectively, and the SESPS profit increased considerably. (3) The proposed approach increased RE utilization to 99.47% while reducing carbon emissions by 32.67%. Thus, this model is a reference for complex energy system configuration and scheduling, as well as a means of encouraging RE use.

Multi-Time Interval Dynamic Optimization Model of New Energy Output Based on Multi-Energy Storage Coordination

“…However, using the dynamic optimization algorithm proposed in this article allows multi-energy systems to still provide sufficient load reserve and temporary stable reserve even when traditional power generation units use smaller start-up methods, reducing the system's peak-shaving pressure. (3) In terms of peak-shaving costs, the method proposed in this article can suppress the uncertainty of new energy output at a lower cost and improve the operational economy of multi-energy systems. In terms of peak-shaving cost, it can be seen from the comparison between Figures 9 and 12 that due to the high additional cost coefficient of traditional power generation units, multi-energy storage devices that can suppress the uncertainty of new energy output at a lower cost can produce better economic results.…”

“…On the one hand, the access scale of new energy represented by wind and light is constantly increasing. On the other hand, the proportion of multi-energy loads dominated by traditional loads and new forms of loads such as heat and hydrogen are gradually increasing [2][3][4][5]. Therefore, the power and energy balance of multi-energy power systems at different spatial and temporal scales will be affected by the fluctuation of new energy power output and load, and will have a huge and extensive impact on the safe, stable, and economic operation of the multi-energy power system.…”

Vulnerable Area Identification of Islanded Combined Electrical and Heat Networks Based on Static Sensitivity Analysis

“…Traditional fossil fuels are facing the problems of depletion and environmental pollution, and to alleviate this problem, the integrated energy system (IES) can improve the utilization of energy by unified planning, design, and operation optimization of multiple energy sources such as electricity, gas, and heat [1][2][3]. Therefore, IESs have been rapidly developed in various countries and regions in recent years and are one of the popular research areas at the intersection of electrical engineering, energy, thermal, and low carbon economy [4][5][6][7]. However, due to the integration of multiple energy systems in the IES, disturbances in one subsystem have the potential to be transmitted to other subsystems via the coupling elements, thereby resulting in an impact on this system.…”