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机构地区:[1]三峡大学经济与管理学院,湖北宜昌443002 [2]国网江西省电力公司南昌市青山湖区供电分公司,江西南昌330029 [3]三峡大学电气与新能源学院,湖北宜昌443002 [4]国网能源研究院,北京102206
出 处:《中国电力》2017年第5期101-106,125,共7页Electric Power
基 金:国网华中电网物资中心科技项目(SDHS2017001)~~
摘 要:针对风光能源并网面临的容量配比、并网点选择和电力市场利益博弈问题,利用经典牛拉法和二次规划方法,以系统功率平衡、物理约束、动态无功支撑能力、频率和电压特性为约束条件,构建计及发电成本、网损、风力和光伏收益的多目标函数。以IEEE30、IEEE57节点为例进行仿真,得出了风光互补的优化规划方案,实际计算结果验证了本规划模型有效性。仿真计算结果表明,在负荷较大的节点并网且风光出力配比在其单位成本比值附近,可以实现利益均衡和目标函数最大化。In view of the problems of capacity ratio, point selection of grid-connection and electricity market interest game, this paper, by taking the system power balance, physical constraints, dynamic reactive power support capability and the frequency and voltage characteristics as constraint conditions, uses the classical Newton-Raphson method and quadratic programming method to develop a multi-objective function which takes into account of power generation cost, grid loss, and the benefit of wind power and PV yield. By taking IEEE30, IEEE57 nodes as an example, the optimization planning scheme of wind-solar complementary is obtained by simulation. The calculation result proves the validity of the proposed model. It is proved that the balance of interests and the maximization of objective function can be achieved in the scenario of grid-connection at the large load node and wind-solar power ratio closing to its unit cost ratio.
分 类 号:TM715[电气工程—电力系统及自动化]
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