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机构地区:[1]福州大学电气工程与自动化学院,福建福州350108 [2]国网福建省电力有限公司,福建福州350003
出 处:《可再生能源》2017年第4期528-534,共7页Renewable Energy Resources
基 金:福建省自然科学基金项目(2013J01176)
摘 要:随着新能源发电快速发展,新能源电力的消纳问题日益凸显。售电侧实施峰谷电价能激发需求侧调峰潜力,增大省级电网接纳新能源的能力,推动省际新能源购售电交易。考虑省级电网调峰、备用等约束,建立了峰谷电价下省级电网公司参与省际新能源购电效益最大化模型,并通过量子粒子群算法求解。算例表明,制定合理的外购电计划,不仅能够减少省外能源基地的弃风,以清洁的风电置换高耗能火电,获取节能减排效益,还有利于降低省级电网的购电费用,增大购电效益。通过比较多种购电方案及省外风电不同报价对省际交易的影响,证明了所提模型的有效性。With the rapid development of new energy power generation, the consumptive problem has become increasingly prominent. The peak-valley price can stimulate the demand side peak potential, increase the capacity of new energy acceptance in a provincial power grid, and promote external clean electric energy transactions. In consideration of the peak regulation and reserve constraint in provincial power grid,inter provincial electricity purchasing optimization model which aims at maximizing economic benefit under peak-valley price was established. The model was solved by means of quantum behaved particle swarm optimization. Numerical examples show that reasonable external power purchase scheme can not only reduce abandoned wind in large energy base, replace high consumption power with wind power so as to reduce carbon emission and save energy, but can reduce the cost of the provincial power grid, increase economic benefits. The influence on external power transaction of different purchase schemes and prices of external power were compared to demonstrate the effectiveness of the proposed model.
关 键 词:峰谷电价 省际购电优化 新能源 量子粒子群优化算法
分 类 号:TK89[动力工程及工程热物理—流体机械及工程] TM92[电气工程—电力电子与电力传动]
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