电网技术
電網技術
전망기술
POWER SYSTEM TECHNOLOGY
2011年
10期
70-75
,共6页
高压配电网规划%变电站扩容%协调优化%遗传算法
高壓配電網規劃%變電站擴容%協調優化%遺傳算法
고압배전망규화%변전참확용%협조우화%유전산법
HV distribution planning%substation capacity extension%coordinated optimization%genetic algorithm （GA）
高压配电网是连接输电网和中压配电网的重要环节，其规划结果将影响城市供配电系统整体的经济性和可靠性；然而目前高压配电网规划与输电网规划之间缺乏协调，其规划模型和方法不够精细。针对该问题提出了改进的输电网与高压配电网协调规划的流程，建立了高压配电网优化规划的2阶段模型，综合考虑了220 kV变电站容量规划、110 kV高压配电网线路规划和负荷优化分区，可实现220 kV变电站、110 kV高压配电网线路扩建和网络损耗总费用的最小化。应用改进遗传算法求解该模型，在始终保持遗传算法中解的可行性前提下进行大规模寻优，提升了算法的全局搜索性能和收敛速度。针对某地区实际高压配电网络的规划结果验证了模型的合理性和算法的实用性。
高壓配電網是連接輸電網和中壓配電網的重要環節，其規劃結果將影響城市供配電繫統整體的經濟性和可靠性；然而目前高壓配電網規劃與輸電網規劃之間缺乏協調，其規劃模型和方法不夠精細。針對該問題提齣瞭改進的輸電網與高壓配電網協調規劃的流程，建立瞭高壓配電網優化規劃的2階段模型，綜閤攷慮瞭220 kV變電站容量規劃、110 kV高壓配電網線路規劃和負荷優化分區，可實現220 kV變電站、110 kV高壓配電網線路擴建和網絡損耗總費用的最小化。應用改進遺傳算法求解該模型，在始終保持遺傳算法中解的可行性前提下進行大規模尋優，提升瞭算法的全跼搜索性能和收斂速度。針對某地區實際高壓配電網絡的規劃結果驗證瞭模型的閤理性和算法的實用性。
고압배전망시련접수전망화중압배전망적중요배절，기규화결과장영향성시공배전계통정체적경제성화가고성；연이목전고압배전망규화여수전망규화지간결핍협조，기규화모형화방법불구정세。침대해문제제출료개진적수전망여고압배전망협조규화적류정，건립료고압배전망우화규화적2계단모형，종합고필료220 kV변전참용량규화、110 kV고압배전망선로규화화부하우화분구，가실현220 kV변전참、110 kV고압배전망선로확건화망락손모총비용적최소화。응용개진유전산법구해해모형，재시종보지유전산법중해적가행성전제하진행대규모심우，제승료산법적전국수색성능화수렴속도。침대모지구실제고압배전망락적규화결과험증료모형적합이성화산법적실용성。
High voltage （HV） distribution network is the key link connecting power transmission network and medium voltage distribution network, so the results of its planning have a great influence on overall economy and reliability of urban power supply and distribution system. However, at present there is lack of coordination between the planning of HV distribution network and the planning of power transmission network, and current planning model and method for HV distribution network is not perfect enough. Therefore, an improved mode to coordinate power transmission network planning with HV distribution network planning is proposed, and a two-stage model for optimal planning of HV distribution network is set up. To allow substation capacities to follow load growth, this model aims to achieve the optimal expansion of 220 kV substation capacity and 110 kV transmission lines as well as the optimal load partitioning, and to minimize the sum total of expansion investment of substations and transmission lines and operation cost mainly considering network loss. An improved Genetic Algorithm （GA） is developed to solve this complex model. The most important strategy of the algorithm is to keep the feasibility of the solution at all times by novel chromosome encoding and genetic operations, thus the global search performance and its convergence speed of the algorithm are enhanced. At last, the integrated planning model of transmission and distribution network is applied in an urban power grid. Results show that the proposed model is reasonable and the algorithm is feasible and effective.
