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机构地区:[1]河海大学能源与电气学院,江苏南京211100 [2]安徽理工大学电气与信息工程学院,安徽淮南232001
出 处:《陕西电力》2016年第12期6-10,17,共6页Shanxi Electric Power
基 金:国家自然科学基金项目资助(61300001)
摘 要:随着社会经济的发展和电力需求的不断增加,以分布式风电源(DWG)为代表的可再生能源发电得到了快速发展。考虑到DWG出力的不确定性,并计及调节DWG有功出力、调节有载调压变压器抽头、调节DWG功率因数和需求侧管理4种主动管理措施,以年综合费用最小为上层目标,以DWG有功出力期望值最大为下层目标,建立了考虑主动管理的DWG双层优化配置模型。并采用改进动态惯性权重因子的粒子群算法及原对偶内点法的混合求解策略对其进行求解。最后利用我国某地区实际42节点配电网对规划模型进行了仿真计算,验证了该方法的有效性。With the development of social economy and the persistent increasing demand of electric power, the distributed wind generator (DWG), which is the representative of renewable energy power generations, has gone through a rapid development. Considering the uncertainty about the output of DWG, as well as four active management measures including regulating DWG active output, adjusting on-load voltage regulating transformer tap, regulating DWG active power factor and managing demand side, the paper establishes a DWG bi-level optimal allocation model based on the consideration of active management, with the prior aim of minimizing annual comprehensive cost and the secondalT target to maximize the expected active output value of DWG. In addition, hybrid solution strategies based on improved dynamic inertia weight factor particle swarm optimization algorithm anti primal-dual interior point method are proposed to solve it. Finally, planning model and algorithm is simulated and confirmed with an actual 42- node distribution network located at a certain area in China.
关 键 词:分布式风电源 主动管理 双层规划模型 可中断负荷
分 类 号:TM715[电气工程—电力系统及自动化]
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