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作 者:周星丞 户秀琼[1] 焦建铭 熊可 ZHOU Xingcheng;HU Xiuqiong;JIAO Jianming;XIONG Ke(Electrical and Information Engineering School of Panzhihua University,Panzhihua 617000,China)
机构地区:[1]攀枝花学院电气信息工程学院,四川攀枝花617000
出 处:《电工技术》2024年第10期116-118,122,共4页Electric Engineering
基 金:大学生创新创业训练项目(编号S202311360035);攀枝花市科学技术和知识产权局指导计划项目(编号2022ZD-G-2)。
摘 要:为了实现更大范围的资源优化配置,提高光伏和风电的消纳能力,实现“双碳”目标以及在更大的市场内进行竞争,互联电网各区域间联络断面功率必须调整至指定值以满足交易功率约束。为此,针对含光伏和风电的互联电网,提出了考虑交易功率约束的概率最优潮流模型及算法。首先以网损为目标函数,考虑交易功率约束以及光伏和风电的间歇性,建立了概率最优潮流模型,然后采用随机响应面法求解概率最优潮流。针对IEEE 30节点系统改造而成的互联电网进行仿真分析,验证了所提模型和方法的正确性和有效性。For interconnected power system,in order to optimize the allocation of resources in a wider range,and improve the absorption and consumption capacity of new energy power such as photovoltaic generation and wind generation,and to achieve the"dual-carbon"goal and compete in a more extensive market,the active power of transmission interfaces between each area must be adjusted to the specified value to meet the trade power constraints.Therefore a probabilistic optimal power flow model and an algorithm are proposed considering the trade power constraints for interconnected power system integrating photovoltaic and wind sources.First a probabilistic optimal power flow model is established with active power loss as the objective function,considering the trade power constraints and the intermittency of photovoltaic power generation and wind power generation.Furthermore,the stochastic response surface method is used to solve the probabilistic optimal power flow.The simulation analysis of the interconnected power system constructed from the IEEE 30-bus system verifies correctness and effectiveness of the proposed model and method.
分 类 号:TM732[电气工程—电力系统及自动化]
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