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机构地区:[1]天津大学智能电网教育部重点实验室,天津300072
出 处:《天津大学学报(自然科学与工程技术版)》2016年第5期443-449,共7页Journal of Tianjin University:Science and Technology
基 金:国家高技术研究发展计划(863计划)资助项目(2015AA050403)
摘 要:离网运行的光伏与储能系统的投资,即所需安装的光伏和储能的容量,不仅取决于用户负荷需求的大小,而且与用户对供电可靠性的要求以及系统的控制策略密切相关.为合理计及可靠性成本,通过用户停电损失指标把可靠性货币化,不仅可以通过该指标确定负荷的供电优先级,而且便于以总成本最小为目标进行优化规划.提出了一种具有时间前瞻性的控制策略,该策略的特点是:在储能充电阶段进行前瞻性充电,以保证储能可以在放电阶段向供电优先级高的负荷供电,使用户总成本最小;通过嵌套全生命周期Monte Carlo模拟的广度优先搜索策略,迅速锁定最优规划方案.通过算例证明了所提控制策略的优势和规划方法的有效性.The investment in standalone photovoltaic and energy storage system,or the required installation capacity of photovoltaic and energy storage,is affected by many factors.Customer's demand size is an obvious factor,while the power supply reliability requirement and system control strategy are also important but easily overlooked factors.Firstly,to account for the reliability cost reasonably,customer outage cost is selected to monetize reliability index in the paper.In this way,the load priority is decided naturally,hence laying a solid foundation for the optimal planning whose target is minimizing the total cost.Then,a novel control strategy with prospective timing is put forward.With the strategy,storage system is charged prospectively during the charging stage to ensure that the high priority load can be supplied.In doing so,customer's total cost is minimized.Lastly,breadth-first search nested by life-cycle Monte Carlo simulation is used to pick up the best planning scheme.A case study is conducted to verify the effectiveness of planning method and the advantage of control strategy.
关 键 词:离网光伏与储能系统 用户停电损失 优先级 时间前瞻性 全生命周期Monte CARLO模拟 优化规划
分 类 号:TM914.4[电气工程—电力电子与电力传动]
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