Integrated Energy System Optimization Based on Standardized Matrix Modeling Method
Source abstract
Abstract
Aiming at the optimization of an integrated energy system, a standardized matrix modeling method and optimization method for an integrated energy system is proposed. Firstly, from the perspective of system engineering, the energy flow between energy conversion devices is used as a state variable to deal with nonlinear problems caused by the introduction of scheduling factors, and a standardized matrix model of the integrated energy system is constructed. Secondly, based on the proposed model, the structural optimization (i.e., energy flow structure and equipment type), design optimization (i.e., equipment capacity and quantity), and operation optimization for the integrated energy system can be achieved. The simulation case studies have shown that the proposed integrated energy system standardized matrix modeling method and optimization method are both simple and efficient, and can be effectively used to decide the system components and their interconnections, and the technical characteristics and daily operating strategy of the system components.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Integrated Energy Systems Optimization · Hybrid Renewable Energy Systems · Microgrid Control and Optimization
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
College of Electronic and Information Engineering, Shanghai Dianji University, Shanghai 201306, China
School of Energy and Mechanical Engineering, Shanghai University of Electric Power, Shanghai 200090, China
Zhejiang Huayun Info Technology Co., Ltd., Hangzhou 310052, China
Funding
the National Natural Science Foundation of China
References (18)
Show source-provided references
1. Li, J., Niu, D., Wu, M., Wang, Y., Li, F., and Dong, H. (2018). Research on Battery Energy Storage as Backup Power in the Operation Optimization of a Regional Integrated Energy System. Energies, 11.10.3390/en11112990 ↗
2. Progress and prospect of multi-energy cooperative energy system demonstration project
3. Techno-economic assessment of hybrid energy off-grid system—A case study for Masirah island in Oman
4. Hammami, M., Torretti, S., Grimaccia, F., and Grandi, G. (2017). Thermal and Performance Analysis of a Photovoltaic Module with an Integrated Energy Storage System. Appl. Sci., 7.10.3390/app7111107 ↗
5. Ge, S., Li, J., Liu, H., Sun, H., and Wang, Y. (2018). Research on Operation–Planning Double-Layer Optimization Design Method for Multi-Energy Microgrid Considering Reliability. Appl. Sci., 8.10.3390/app8112062 ↗
6. Optimial operation of a micro-combined cooling, heating and power system
7. A detailed MILP optimization model for combined cooling, heat and power system operation planning10.1016/j.energy.2014.02.042 ↗
8. Optimization of CHCP (combined heat power and cooling) systems operation strategy using dynamic programming10.1016/j.energy.2013.12.069 ↗
9. Energy efficiency level of multi-complement distributed energy system and its influencing factors
10. Study on design optimization of distributed cogeneration system
11. An engineering approach to the optimal design of distributed energy systems in China10.1016/j.applthermaleng.2012.01.067 ↗
12. Load curve smoothing strategy based on unified state model of different demand side resources10.1007/s40565-017-0358-0 ↗
13. Matrix modelling of small-scale trigeneration systems and application to operational optimization10.1016/j.energy.2008.09.011 ↗
14. Almassalkhi, M.R., and Towle, A. (2016, January 20–24). Enabling City-scale Multi-energy Optimal Dispatch with Energy Hubs. Proceedings of the Power Systems Computation Conference (PSCC), Genoa, Italy.10.1109/PSCC.2016.7540981 ↗
15. Chui, K.T., Lytras, M.D., and Visvizi, A. (2018). Energy Sustainability in Smart Cities: Artificial Intelligence, Smart Monitoring, and Optimization of Energy Consumption. Energies, 11.10.3390/en11112869 ↗
16. Nonlinear steady-state model based gas turbine health status estimation approach with improved particle swarm optimization algorithm10.1155/2015/940757 ↗
17. Nonlinear multiple points gas turbine off-design performance adaptation using a genetic algorithm10.1115/1.4002620 ↗
18. Wang, Y., Kang, C., and Yang, J. (2018). Standardized Matrix Modeling of Multiple Energy Systems. IEEE Trans. Smart Grid, in press.10.1109/TSG.2017.2737662 ↗