电网技术
電網技術
전망기술
POWER SYSTEM TECHNOLOGY
2014年
3期
768-775
,共8页
高压配电网%供电能力%线路选型%供电路径%N-1安全校验
高壓配電網%供電能力%線路選型%供電路徑%N-1安全校驗
고압배전망%공전능력%선로선형%공전로경%N-1안전교험
HV distribution network%load supply capability%conductor selection%supplying route%N-1 contingency
为合理选择高压配电线路载流量以实现高压配电网精细化规划和集约型建设,提出一种基于供电能力分析的高压配电线路容量优化方法。首先定义供电路径矩阵和运行/转供方式向量来描述高压配电网网架信息;然后基于配电网供电能力分析,以使配电网供电能力达到极限的最小高压配电线路容量需求为目标,通过配电网高压网架正常运行分析、高压配电线路N-1校验分析以及高压网架运行/转供方式和转供方式的合环情况分析建立约束,最终形成数学模型;最后提出一种改进的遗传算法对模型进行求解。通过某城区电网实例计算证明了算法的有效性和实用性。
為閤理選擇高壓配電線路載流量以實現高壓配電網精細化規劃和集約型建設,提齣一種基于供電能力分析的高壓配電線路容量優化方法。首先定義供電路徑矩陣和運行/轉供方式嚮量來描述高壓配電網網架信息;然後基于配電網供電能力分析,以使配電網供電能力達到極限的最小高壓配電線路容量需求為目標,通過配電網高壓網架正常運行分析、高壓配電線路N-1校驗分析以及高壓網架運行/轉供方式和轉供方式的閤環情況分析建立約束,最終形成數學模型;最後提齣一種改進的遺傳算法對模型進行求解。通過某城區電網實例計算證明瞭算法的有效性和實用性。
위합리선택고압배전선로재류량이실현고압배전망정세화규화화집약형건설,제출일충기우공전능력분석적고압배전선로용량우화방법。수선정의공전로경구진화운행/전공방식향량래묘술고압배전망망가신식;연후기우배전망공전능력분석,이사배전망공전능력체도겁한적최소고압배전선로용량수구위목표,통과배전망고압망가정상운행분석、고압배전선로N-1교험분석이급고압망가운행/전공방식화전공방식적합배정황분석건립약속,최종형성수학모형;최후제출일충개진적유전산법대모형진행구해。통과모성구전망실례계산증명료산법적유효성화실용성。
To reasonably choose current-carrying capacities of HV distribution lines to implement refined planning and intensive construction to select benefiting conductors to reduce invest and increase utilization of supplying equipment, a method to optimize capacity of HV distribution line based on load supply capability analysis is proposed. Firstly, the concepts of power supplying route matrix and operation/wheeling mode vector of main transformer are defined to describe the information of the wireframe of HV distribution network; then based on the analysis of load supply capability of distribution network the minimized demand on capacity of HV distribution line, which makes the load supplying capability of distribution network reaching its limit, is taken as the objective and the constraints are determined through the analysis on normal operation of HV distribution wireframe and N-1 contingency as well as the analysis on operation/wheeling mode and the loop closing of wheeling mode, and then a mathematical model is formed;finally, a modified genetic algorithm is presented and used to solve the proposed optimization model. The effectiveness and practicality of the proposed method are verified by the calculation of a certain urban distribution network.