Study on Multi-energy Complementary Model of Coupling System of Distribution Network and Heat Pump Energy Storage

2021 ◽  
Author(s):  
Dezhi Li ◽  
Junxia Meng ◽  
Zhiwei Gao ◽  
Weizheng Kong ◽  
Zhe Liu
Keyword(s):  
Energy Storage ◽  
Heat Pump ◽  
Distribution Network ◽  
Pump Energy ◽  
Coupling System

The Experimental Study of Water Storage Performance on Small Heat-Pump Energy Storage Air-Conditioner

2012 ◽  
Vol 608-609 ◽  
pp. 1133-1136
Author(s):  
Fang Wang ◽  
Jing Yi Wang ◽  
Meng Liu ◽  
Zhen Ya Zhang
Keyword(s):  
Energy Storage ◽  
Heat Pump ◽  
Heat Storage ◽  
Storage System ◽  
Pump Energy ◽  
Inlet Temperature ◽  
Outlet Temperature ◽  
Air Conditioner ◽  
Air Conditioning System ◽  
Heating Capacity

Based on the performance of energy storage air conditioning system, a small heat pump water heat storage air conditioner was designed with some experiments in winter running. The experiments show that the heat storage system can improve inlet temperature of the refrigerating compressor effectively when proceeding heating mode, and the outlet temperature is also higher relatively; In the low-temperature heating condition, the maximum heating capacity can up to more than the rated heating capacity and the defrosting performance is better too; But the heat storage capacity of the system is quite limited for the thermal storage material is water.

Experimental Analysis of a Solar Energy Storage Heat Pump System

2021 ◽  
Author(s):  
Haifei Chen ◽  
Guiqiang Li ◽  
Yueyue Ling ◽  
Jie Fu ◽  
Yunjie Wang ◽  
...  
Keyword(s):  
Energy Storage ◽  
Solar Energy ◽  
Heat Pump ◽  
Experimental Analysis ◽  
Pump System ◽  
Heat Pump System ◽  
Solar Energy Storage

Optimal allocation of distributed energy storage in active distribution network via hybrid teaching learning and multi-objective particle swarm optimization algorithm

2021 ◽  
pp. 002072092098369
Author(s):  
Jijun Liu ◽  
Yuxin Bai ◽  
Yingfeng He
Keyword(s):  
Particle Swarm Optimization ◽  
Energy Storage ◽  
Optimal Allocation ◽  
Storage System ◽  
Distribution Network ◽  
Particle Swarm ◽  
Economic Cost ◽  
Energy Storage System ◽  
Swarm Optimization ◽  
Active Distribution Network

This work aims at solving complex problems of the optimal scheduling model of active distribution network, teaching strategies are proposed to improve the global search ability of particle swarm optimization. Moreover, based on the improved Euclidean distance cyclic crowding sorting strategy, the convergence ability of Li Zhiquan algorithm is improved. With the cost and voltage indexes of the energy storage system of the distribution network as the goal, different optimized configuration schemes are constructed, and the improved HTL-MOPSO algorithm is adopted to find the solution. The results show that compared with the traditional TV-MOPSO algorithm, the proposed algorithm has better convergence performance and optimization ability, and has a lower economic cost. In short, the algorithm proposed can provide a basis for improving the optimization of active distribution network scheduling strategies.

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