Electric Power ›› 2023, Vol. 56 ›› Issue (12): 31-40.DOI: 10.11930/j.issn.1004-9649.202306057
• Planning, Operation and Power Transaction of Distributed Smart Grid • Previous Articles Next Articles
					
													Donglei SUN(
), Yao WANG(
), Huiwen ZHANG(
), Rui LIU(
), Bingke SHI(
)
												  
						
						
						
					
				
Received:2023-06-17
															
							
															
							
																	Accepted:2023-09-15
															
							
																	Online:2023-12-23
															
							
							
																	Published:2023-12-28
															
							
						Supported by:Donglei SUN, Yao WANG, Huiwen ZHANG, Rui LIU, Bingke SHI. Optimal Configuration of Distributed Energy Storage in Distribution Networks Based on Moment Difference Analysis[J]. Electric Power, 2023, 56(12): 31-40.
| 储能安装位置 | 储能功率/kW | 储能容量/(kW·h) | ||
| 18节点 | 149 | 108 | 
Table 1 Minimum storage configuration to meet voltage requirement (single-branch scenario)
| 储能安装位置 | 储能功率/kW | 储能容量/(kW·h) | ||
| 18节点 | 149 | 108 | 
| 储能安装位置 | 储能功率/kW | 储能容量/(kW·h) | ||||||
| 18节点 | 33节点 | 18节点 | 33节点 | |||||
| 18、33节点 | 199 | 53 | 183 | 52 | ||||
Table 2 Minimum storage configuration to meet voltage requirements (multiple branch scenario)
| 储能安装位置 | 储能功率/kW | 储能容量/(kW·h) | ||||||
| 18节点 | 33节点 | 18节点 | 33节点 | |||||
| 18、33节点 | 199 | 53 | 183 | 52 | ||||
| 时段/  min  |  储能最小功率/  kW  |  储能容量/  (kW·h)  |  储能最优位置 | 计算时间/s | ||||||||||||
| 粒子群算法 | 本文方法 | 粒子群算法 | 本文方法 | 粒子群算法 | 本文方法 | 粒子群算法 | 本文方法 | |||||||||
| 45 | 29 | 29 | 108 | 108 | 18  节点  |  18  节点  |  2054 | 30.4 | ||||||||
| 46 | 102 | 101 | ||||||||||||||
| 47 | 149 | 149 | ||||||||||||||
| 48 | 43 | 43 | ||||||||||||||
| 49 | 79 | 79 | ||||||||||||||
| 51 | 31 | 31 | ||||||||||||||
Table 3 Comparison of single-branch overvoltage scenarios
| 时段/  min  |  储能最小功率/  kW  |  储能容量/  (kW·h)  |  储能最优位置 | 计算时间/s | ||||||||||||
| 粒子群算法 | 本文方法 | 粒子群算法 | 本文方法 | 粒子群算法 | 本文方法 | 粒子群算法 | 本文方法 | |||||||||
| 45 | 29 | 29 | 108 | 108 | 18  节点  |  18  节点  |  2054 | 30.4 | ||||||||
| 46 | 102 | 101 | ||||||||||||||
| 47 | 149 | 149 | ||||||||||||||
| 48 | 43 | 43 | ||||||||||||||
| 49 | 79 | 79 | ||||||||||||||
| 51 | 31 | 31 | ||||||||||||||
| 时段/  min  |  储能最小功率/  kW  |  储能容量/  (kW·h)  |  储能最优位置 | 计算时间/s | ||||||||||||
| 粒子群算法 | 本文方法 | 粒子群算法 | 本文方法 | 粒子群算法 | 本文方法 | 粒子群算法 | 本文方法 | |||||||||
| 46 | 68/17 | 68/17 | 183/52 | 183/52 | 18/33  节点  |  18/33  节点  |  2125 | 67 | ||||||||
| 47 | 199/53 | 199/53 | ||||||||||||||
| 48 | 147/47 | 147/47 | ||||||||||||||
| 49 | 135/37 | 135/37 | ||||||||||||||
| 50 | 89/26 | 89/26 | ||||||||||||||
| 51 | 94/31 | 94/31 | ||||||||||||||
Table 4 Comparison of multiple branch overvoltage scenario
| 时段/  min  |  储能最小功率/  kW  |  储能容量/  (kW·h)  |  储能最优位置 | 计算时间/s | ||||||||||||
| 粒子群算法 | 本文方法 | 粒子群算法 | 本文方法 | 粒子群算法 | 本文方法 | 粒子群算法 | 本文方法 | |||||||||
| 46 | 68/17 | 68/17 | 183/52 | 183/52 | 18/33  节点  |  18/33  节点  |  2125 | 67 | ||||||||
| 47 | 199/53 | 199/53 | ||||||||||||||
| 48 | 147/47 | 147/47 | ||||||||||||||
| 49 | 135/37 | 135/37 | ||||||||||||||
| 50 | 89/26 | 89/26 | ||||||||||||||
| 51 | 94/31 | 94/31 | ||||||||||||||
| 典型日场景 | 节点储能功率/kW | 节点储能容量/(kW·h) | ||||||||
| 18节点 | 33节点 | 18节点 | 33节点 | 总计 | ||||||
| 1 | 95 | 0 | 134 | 0 | 134 | |||||
| 2 | 213 | 56 | 174 | 93 | 267 | |||||
| 3 | 64 | 187 | 71 | 168 | 239 | |||||
| 4 | 0 | 105 | 0 | 152 | 152 | |||||
Table 5 Energy storage configuration result of IEEE 33-node distribution network
| 典型日场景 | 节点储能功率/kW | 节点储能容量/(kW·h) | ||||||||
| 18节点 | 33节点 | 18节点 | 33节点 | 总计 | ||||||
| 1 | 95 | 0 | 134 | 0 | 134 | |||||
| 2 | 213 | 56 | 174 | 93 | 267 | |||||
| 3 | 64 | 187 | 71 | 168 | 239 | |||||
| 4 | 0 | 105 | 0 | 152 | 152 | |||||
| 储能安装位置 | 储能功率/kW | 储能容量/(kW·h) | ||||||
| 18节点 | 33节点 | 18节点 | 33节点 | |||||
| 18、33节点 | 213 | 187 | 174 | 168 | ||||
Table 6 Minimum storage configuration to meet voltage requirements
| 储能安装位置 | 储能功率/kW | 储能容量/(kW·h) | ||||||
| 18节点 | 33节点 | 18节点 | 33节点 | |||||
| 18、33节点 | 213 | 187 | 174 | 168 | ||||
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