Synergistic optimal operation for a combined cooling, heating and power system with hybrid energy storage

2018 ◽  
Vol 61 (11) ◽  
Author(s):  
Yi Yan ◽  
Chenghui Zhang ◽  
Ke Li ◽  
Xiaopeng Hai
2021 ◽  
pp. 1-9
Author(s):  
Ahmad N Abdalla ◽  
Muhammad Shahzad Nazir ◽  
Tiezhu Zhu ◽  
Mohit Bajaj ◽  
Sanjeevikumar Padmanaban ◽  
...  

Abstract With the rapid development of clean energy, the Combined Cooling and Heating Power (CCHP) and Hybrid Energy Storage System (HESS) have become matured significantly. However, further optimizing the configuration of the energy supply system and adjusting the output of distributed micro-sources and energy storage units are still attractive issues. This paper focuses on the two-stage optimization strategy of the Microgrid system, including CCHP and HESS. The details of the operating characteristics and mathematical models of distributed micro-sources in the system are presented. The energy storage architecture is used for mathematical modelling, and the optimization model is analyzed from the two perspectives of energy supply and demand, which explores the feasibility of improving the economic operation of the micro-energy system. The two-stage optimization model which the first-stage is to determine the optimal installation capacity of various equipment and the second stage determines the optimal operation plan of the system by obtaining the system's capacity configuration. The simulation results show that the CCHP system can reduce the operation cost by 4.61 % and 6.48% for winter and summer respectively, also reduce fuel cost consumption by 3.01% and 3.68% for winter and summer.


Energies ◽  
2020 ◽  
Vol 13 (12) ◽  
pp. 3268
Author(s):  
Mehdi Dhifli ◽  
Abderezak Lashab ◽  
Josep M. Guerrero ◽  
Abdullah Abusorrah ◽  
Yusuf A. Al-Turki ◽  
...  

This paper proposes an enhanced energy management system (EEMS) for a residential AC microgrid. The renewable energy-based AC microgrid with hybrid energy storage is broken down into three distinct parts: a photovoltaic (PV) array as a green energy source, a battery (BT) and a supercapacitor (SC) as a hybrid energy storage system (HESS), and apartments and electric vehicles, given that the system is for residential areas. The developed EEMS ensures the optimal use of the PV arrays’ production, aiming to decrease electricity bills while reducing fast power changes in the battery, which increases the reliability of the system, since the battery undergoes fewer charging/discharging cycles. The proposed EEMS is a hybrid control strategy, which is composed of two stages: a state machine (SM) control to ensure the optimal operation of the battery, and an operating mode (OM) for the best operation of the SC. The obtained results show that the EEMS successfully involves SC during fast load and PV generation changes by decreasing the number of BT charging/discharging cycles, which significantly increases the system’s life span. Moreover, power loss is decreased during passing clouds phases by decreasing the power error between the extracted power by the sources and the required equivalent; the improvement in efficiency reaches 9.5%.


2013 ◽  
Vol 397-400 ◽  
pp. 1923-1929
Author(s):  
Xin Zhi Wang ◽  
Li Xia ◽  
Chao Zhang

Based on new ship isolated power system, the models of power station, loads and hybrid energy storage system (HESS) are built. Fuzzy control theory is adopted to control different energy storage modules (ESM) coordinately, effectively level the fluctuation of loads and improve system stability. Simulations in Matlab/Simulink investigate the impact of different control filter parameters on compensation effect of HESS, and the impact of ESMs performance on HESS compensation.


Energy ◽  
2017 ◽  
Vol 140 ◽  
pp. 198-208 ◽  
Author(s):  
Shuli Wen ◽  
Hai Lan ◽  
David. C. Yu ◽  
Qiang Fu ◽  
Ying-Yi Hong ◽  
...  

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