合肥工业大学学报（自然科学版）
閤肥工業大學學報（自然科學版）
합비공업대학학보（자연과학판）
JOURNAL OF HEFEI UNIVERSITY OF TECHNOLOGY(NATURAL SCIENCE)
2014年
12期
1441-1445
,共5页
配电网络%分布式电源%无功优化%多目标函数%自适应混沌粒子群算法(ACPSO)
配電網絡%分佈式電源%無功優化%多目標函數%自適應混沌粒子群算法(ACPSO)
배전망락%분포식전원%무공우화%다목표함수%자괄응혼돈입자군산법(ACPSO)
distribution network%distributed generation%reactive power optimization%multi-objective function%adaptive chaotic particle swarm optimization(ACPSO)
文章研究了含分布式电源的配电网络无功优化问题，基于无功裕度值探讨了无功补偿装置的接入位置，建立了含分布式电源配电网络多目标无功优化模型；运用自适应混沌粒子群算法（ACPSO ）进行求解，在初始化计算过程中引入混沌系统，增加粒子种群的多样性，在迭代过程中引入惯性权重线性递减法和变学习因子法，以得到更精确的全局最优解；通过含分布式电源的IEEE 33节点系统的计算，验证了所提模型和算法的正确性。研究表明对含分布式电源的配电网络进行无功优化能够达到降低成本、网损和提高电能质量的目的。
文章研究瞭含分佈式電源的配電網絡無功優化問題，基于無功裕度值探討瞭無功補償裝置的接入位置，建立瞭含分佈式電源配電網絡多目標無功優化模型；運用自適應混沌粒子群算法（ACPSO ）進行求解，在初始化計算過程中引入混沌繫統，增加粒子種群的多樣性，在迭代過程中引入慣性權重線性遞減法和變學習因子法，以得到更精確的全跼最優解；通過含分佈式電源的IEEE 33節點繫統的計算，驗證瞭所提模型和算法的正確性。研究錶明對含分佈式電源的配電網絡進行無功優化能夠達到降低成本、網損和提高電能質量的目的。
문장연구료함분포식전원적배전망락무공우화문제，기우무공유도치탐토료무공보상장치적접입위치，건립료함분포식전원배전망락다목표무공우화모형；운용자괄응혼돈입자군산법（ACPSO ）진행구해，재초시화계산과정중인입혼돈계통，증가입자충군적다양성，재질대과정중인입관성권중선성체감법화변학습인자법，이득도경정학적전국최우해；통과함분포식전원적IEEE 33절점계통적계산，험증료소제모형화산법적정학성。연구표명대함분포식전원적배전망락진행무공우화능구체도강저성본、망손화제고전능질량적목적。
The reactive power optimization problem in distribution power system with distributed gen‐eration is discussed .The access position of reactive power compensation device is investigated based on reactive power margin value ,and the reactive power optimization model is established .The adap‐tive chaotic particle swarm optimization(ACPSO) algorithm is used to solve the multi‐objective func‐tions .For enhancing the diversity of particle populations ,the chaos system is introduced into the ini‐tialization process .This algorithm adopts the adaptive inertia weight and variable learning factors in the iterative process to obtain more accurate global optimal results .Through calculating the IEEE 33‐bus system with distributed generation ,the validity of the models and algorithm is verified .It is shown that the reactive power optimization of distribution network with distributed generation can re‐duce the cost and network loss and improve the power quality .
