CAJ | 학술논문

分布式电源接入配电网时，其接入位置和容量会对电网的运行和规划产生很大影响。在分布式电源个数、位置和单个容量等影响因数下，以配电网网损、电压偏移及静态电压稳定裕度为目标，借鉴遗传算法中采用并行机制避免收敛于局部最优解的思想，建立了多种群免疫算法。并对配电网33节点接入2个DG进行选址和定容优化，结果说明了DG并网使各目标都得到优化。与普通免疫算法相比较，多种群免疫算法具有更好的寻优能力。采用该方法对DG选址定容进行研究，对配电网的经济、安全运行具有重要意义。
분포식전원접입배전망시，기접입위치화용량회대전망적운행화규화산생흔대영향。재분포식전원개수、위치화단개용량등영향인수하，이배전망망손、전압편이급정태전압은정유도위목표，차감유전산법중채용병행궤제피면수렴우국부최우해적사상，건립료다충군면역산법。병대배전망33절점접입2개DG진행선지화정용우화，결과설명료DG병망사각목표도득도우화。여보통면역산법상비교，다충군면역산법구유경호적심우능력。채용해방법대DG선지정용진행연구，대배전망적경제、안전운행구유중요의의。
When distribution generation (DG) is connected to distribution network, its location and capacity will have a significant impact on the planning and operation of the power grid. Based on the factors of DG number, location and individual capacity, the multi-population immune algorithm is established, which sets the distribution network loss, voltage deviation and stability margin of the static voltage as the goals and uses parallel mechanism in genetic algorithm to avoid convergence to local minima. Sitting and sizing of the distribution in which 33 nodes of the distributed network are connected to two DGs is optimized, and the results show that all the objectives are optimized when DG grid is connected to the network. Compared with normal immune algorithm, the multi-population immune algorithm has better searching ability. Studying the locating and sizing of the DG using this method has great significance for the economic and safe operation of the distribution network.