A Novel Method for Economic Dispatch with Across Neighborhood Search: A Case Study in a Provincial Power Grid, China

Table 2

Comparison of simulation results ($/h) for 13-generator system (Case III).

Method	Min.	Max.	Mean	Std Dev
FCASO-SQP [1]	17964.08	NA	18001.96	NA
TSARGA [4]	17963.94	18089.61	17974.31	3.18
DE [10]	17963.83	17975.36	17965.48	NA
ABC [11]	17963.86	17995.11	17987.22	NA
IHSWM [14]	17963.83	18041.3456	17976.4750	25.6079
aBBOmDE [20]	17963.8521	17975.0552	17967.3560	NA
TLBO [24]	18115	NA	NA	NA
CTLBO [25]	17972.81	18159.34	18013.38	43.2
FA [26]	17963.83	18168.80	18029.16	148.542
CBA [29]	17963.8339	17995.2256	17965.4889	6.8473
GWO [30]	18051.11	NA	NA	NA
GA–PS–QSP [44]	17964	NA	18199	NA
HMAPSO [48]	17969.31	17969.31	17969.31	NA
CE-SQP [54]	17963.85	NA	17965.97	NA
ANS-SDP [68]	17964	17985	17973	NA
BFO [69]	17974.48	17997.12	18018.75	NA
RTO [70]	17969.8024	18204.6303	18056.9358	NA
CMSFLA [71]	18294.9953	18297.3126	18295.7308	NA
OIWO [72]	17963.83	NA	NA	NA
IA_EDA [73]	17961.4331	18052.3155	17980.1898	21.6666
NSS [74]	17976.9512	17976.9512	17976.9512	NA
MSOS [75]	17963.8292	17963.8292	17963.8292	6.80E-12
QOSLTLBO [76]	18421.1718	NA	NA	NA
BBO	17973.1883	18090.6042	17993.9942	27.0827
CSO	17972.8619	18136.4236	18073.9003	56.1710
DE	17972.8105	18075.5913	17993.5153	38.8380
PSO	17981.3621	18312.9831	18127.7452	85.8468
ANS	17963.9031	17973.4437	17969.1487	3.0015

NA means not available in the corresponding literature.