摘要
发展主动配电网是提高配电网对间歇性可再生能源发电接纳能力、支撑低碳经济发展的一种重要手段。提出一种考虑碳排放成本和需求侧管理的主动配电网双层规划模型,在上层规划中,以包含碳排放成本的配电网规划年综合费用最小为优化目标;在下层规划中,以需求侧管理和主动管理模式下分布式电源(distributed generation,DG)出力削减量和可中断负荷中断量最小为优化目标,采用二进制量子粒子群算法结合原对偶内点法进行求解。针对风速、光照强度和负荷的不确定性问题,建立相应的概率模型,并采用拉丁超立方抽样技术生成DG出力和负荷全年序列场景。以一个待扩展的25节点配电网络作为算例进行仿真,结果表明,所提模型与算法能够有效降低碳排放成本和提高配电网对DG的接纳能力,考虑需求侧管理进一步优化了主动配电网规划方案,使年综合费用更小。
The development of active distribution network is an important means to improve the distribution network's ability to accept intermittent renewable energy generation and support the development of low-carbon economy.This paper proposes a bi-level planning model for active distribution networks that take into account carbon emissions costs and demand-side management.In the upper-level plan,the minimum annual comprehensive cost of the distribution network that includes the cost of carbon emissions is the optimization goal.In the lower-level plan,the amount of distributed generation(DG)output reduction and interruptible load interruption under the demand-side management and active management modes are minimized.The binary quantum particle swarm optimization combined with the original dual interior point method is used to solve the model.Aiming at the uncertainties of wind speed,light intensity and load,a corresponding probability model is established,and the Latin hypercube sampling technique is used to generate DG output and load year-round sequence scenarios.Taking a 25-node distribution network to be expanded as an example,the simulation results show that the proposed model and algorithm can effectively reduce the cost of carbon emissions and improve the ability of the distribution network to accept DG.Considering the demand-side management,the active distribution network planning scheme is further optimized,and the annual comprehensive cost is smaller.
作者
杨东俊
涂智福
徐敬友
丁坚勇
杨洁
肖彦娟
YANG Dongjun;TU Zhifu;XU Jingyou;DING Jianyong;YANG Jie;XIAO Yanjuan(Hubei Electric Power Economy&Technology Research Institute of State Grid Corporation of China,Wuhan 430063,China;Central Southern China Electric Power Design Institute,Wuhan 430071,China;School of Electrical Engineering and Automation,Wuhan University,Wuhan 430072,China)
出处
《武汉大学学报（工学版）》
CAS
CSCD
北大核心
2022年第7期709-715,共7页
Engineering Journal of Wuhan University
基金
国网湖北省电力公司科技项目(编号:52153818001F)。
关键词
配电网规划
需求侧管理
可中断负荷
碳排放成本
二进制量子粒子群算法
distribution network planning
demand side management
interruptible load
carbon emission cost
binary quantum particle swarm optimization
