Cryogenic-Energy-Storage-Based Optimized Green Growth of an Integrated and Sustainable Energy System

Abstract

The advancement of using the cryogenic energy storage (CES) system has enabled efficient utilization of abandoned wind and solar energy, and the system can be dispatched in the peak hours of regional power load demand to release energy. It can fill the demand gap, which is conducive to the peak regulation of the power system and can further promote the rapid development of new energy. This study optimizes the various types of energy complementary to the CES system using hybrid gravitational search algorithm-local search optimization (hGSA-LS). First, the mathematical model of the energy storage system (ESS) including the CES system is briefly described. Second, an economic scheduling optimization model of the IES is constructed by minimizing the operating cost of the system. Third, the hGSA-LS methods to solve the optimization problem are proposed. Simulations show that the hGSA-LS methodology is more efficient. The simulation results verify the feasibility of CES compared with traditional systems in terms of economic benefits, new energy consumption rate, primary energy saving rate, and carbon emissions under different fluctuations in energy prices. Optimization of the system operation using the proposed hGSA-LS algorithm takes 5.87 s; however, the GA, PSO, and GSA require 12.56, 10.33, and 7.95 s, respectively. Thus, the hGSA-LS algorithm shows a comparatively better performance than GA, PSO, and GSA in terms of time.

Application of Fuzzy Control and Neural Network Control in the Commercial Development of Sustainable Energy System

“…However, the uncertainty and fluctuation of these energy sources bring new challenges to the operation and management of energy systems [8]. In this context, optimizing the control system becomes paramount becomes very important to ensure that the SES can achieve efficient, stable, and sustainable operation under changing conditions [9][10][11]. With the wide application of renewable energy technology, people have witnessed the vigorous development of solar photovoltaic and wind power generation [12,13].…”

An Energy Storage Assessment: Using Frequency Modulation Approach to Capture Optimal Coordination

“…The characteristics of large synchronous motor impedance and large inertia can thus guarantee the stable operation of the power system. A new control method of inverter synchronverter control is proposed to improve the stability of power grid operation [7,8]. The excellent technical characteristics, such as fast output and stable operation, of the ESS are utilized to compensate for the uncontrollable shortcomings of wind turbines and to support the frequency of the system in a stable state in time [9].…”

Toward a Design Framework for Mathematical Modeling Activities: An Analysis of Official Exemplars in Hong Kong Mathematics Education

“…It is a cyclical process (i.e., a modeling cycle) in which a real-world model is transformed into a mathematical model, and then the formulated model is validated and iteratively adjusted based on the real-life situation [2]. Mathematical modeling is widely applied in the field of sustainable development across STEM (Science, Technology, Engineering, and Technology) disciplines, such as monitoring water quality [3], waste treatment infrastructure planning [4], sustainable energy systems [5], financial risk assessment [6], and pandemic control strategy [7]. Accordingly, mathematical modeling is considered a bridge to STEM education [1].…”