Optimal Active Power Loss with Feeder Routing Collaborate Distributed Generation Allocation and Sizing in Smart Grid Distribution
The Smart Grid (SG) has widely supported the electric power from the Distributed Generation (DG).It becomes a practical standard to generate the electric power from a renewable energy into the distribution system to compensate for the power demand,especially in the peak time.However,the advancement of the SG continuing with the classical problem of active power loss as the traditional grid.This research aimsto solve the active power loss problem by analyzing the elements and study to solve,in the scope of the organization that provides the electrical power.In order to solve the problem,the solutions can be achieved by feeder routing with adjusting cost Dijkstras algorithm,afterward decided the allocation and sizing of DG by using the Evolutionary Computing (EC) which are Harmony Search (HS),Artificial Bee Colony (ABC),and Particle Swarm Optimization (PSO) algorithms.The experiment evaluates the performance of the algorithm usingpower flow analysis,Backward/ Forward Sweep Method,on the IEEE 33-bus system.From the experimental result,the PSO provides the best performance.The overall active power loss in the case 3 DGs was reduced from 202.67 to 52.29 kW,representing 74.20%reduction.
Minimal active power loss BackwardForward Sweep Method Harmony Search Algorithm Artificial Bee Colony Algorithm Particle Swarm Optimization Algorithm
Phatcharasak Phawanaphinyo Narongdech Keeratipranon Chaiyaporn Khemapatapan
College of Innovative Technology and Engineering,Dhurakij Pundit University,Bangkok,10210,Thailand
国际会议
ICEFS2017(International Conference on Economics, Finance and Statistics 2017) (2017经济、金融与统计国际会议)
香港
英文
387-392
2017-01-14（万方平台首次上网日期，不代表论文的发表时间）