CAJ | 학술논문

分布式电源接入点位置和容量的大小直接影响电网的安全性和经济性。文中建立了1个使配电网有功损耗最小的分布式电源选址定容优化模型。模型中考虑了电源接入容量和接入点对系统潮流、节点电压、线路负载及网络损耗的影响，并进行了相应的约束，以保证电网的安全稳定运行。采用拟态物理学优化( APO)方法对其求解，将接入容量、接入点、节点电压等拟态为物理学中的个体质量，每个个体根据自己的质量、速度及其他个体的引/(斥)力作用不断调整自己的运动和位置，通过全局最好、最差和自身适应值不断更新其质量，最终整个群体所经历的最好位置即为全局最优解，从而得到分布式电源的最佳接入位置和容量。最后采用标准IEEE-33辐射配电系统进行计算分析，并与粒子群( PSO)算法进行比较。 APO算法的有功损耗减少更为显著，其平均电压和最低电压均好于粒子群算法的，验证了所提出的模型和方法是可行和有效的。
분포식전원접입점위치화용량적대소직접영향전망적안전성화경제성。문중건립료1개사배전망유공손모최소적분포식전원선지정용우화모형。모형중고필료전원접입용량화접입점대계통조류、절점전압、선로부재급망락손모적영향，병진행료상응적약속，이보증전망적안전은정운행。채용의태물이학우화( APO)방법대기구해，장접입용량、접입점、절점전압등의태위물이학중적개체질량，매개개체근거자기적질량、속도급기타개체적인/(척)력작용불단조정자기적운동화위치，통과전국최호、최차화자신괄응치불단경신기질량，최종정개군체소경력적최호위치즉위전국최우해，종이득도분포식전원적최가접입위치화용량。최후채용표준IEEE-33복사배전계통진행계산분석，병여입자군( PSO)산법진행비교。 APO산법적유공손모감소경위현저，기평균전압화최저전압균호우입자군산법적，험증료소제출적모형화방법시가행화유효적。
The locating and sizing of distributed generation ( DG ) have a great impact on security and economy of distributed power system. An optimization model with the minimum power loss of distributed system as the target function for the locating and sizing of distributed generations is mod-eled. The impacts due to the DG connected, not only with influence of power loss, but also with the power flow equations, node voltage and the transmission capacity of wires, are considered. Mean-while, the algorithm of artificial physics optimization ( APO) is proposed to solve the problem. The concrete methods are: translate the variables, node voltage, capacity and node connected of the DG, into the quality of individual particle on artificial physics;change the trajectory and positions of the individual particle according to its quality, speed and the attraction(or repulsion) from other particles;update the quality of the individual particle according to the best, the worst or itself adap-tive value;recalculate until the best position come out;obtain the best locating and sizing of DG fi-nally. The result tested by the IEEE-33 bus radial distribution network shows that, power loss is lower, and average and minimum voltage are higher than that of the particle swarm optimization ( PSO) algorithm, so the proposed optimization model and APO algorithm are feasible and effective.