电器与能效管理技术 ›› 2020, Vol. 0 ›› Issue (12): 89-98.doi: 10.16628/j.cnki.2095-8188.2020.12.016

• 配网技术与系统 • 上一篇    下一篇

计及多种需求侧资源协同参与的配电网扩展规划

储琳琳1, 宗明1, 李轶立1, 王经纬1, 朱夏1, 史越奇2, 顾洁2   

  1. 1.国网上海市电力公司 市南供电公司,上海 200233
    2.上海交通大学 电子信息与电气工程学院,上海 200240
  • 收稿日期:2020-09-27 出版日期:2020-12-30 发布日期:2021-01-05
  • 作者简介:储琳琳(1978—),女,高级工程师,主要从事负荷预测和电网规划研究。|宗 明(1970—),男,高级工程师,主要从事电网规划与运行研究。|李轶立(1984—),男,工程师,主要从事电网规划研究。
  • 基金资助:
    * 国家电网公司科技项目资助(SGSHSN00ZSJS1802299)

Planning of Distribution Network Expansion Considering Multi-Type Distributed Energy Resources

CHU Linlin1, ZONG Ming1, LI Yili1, WANG Jingwei1, ZHU Xia1, SHI Yueqi2, GU Jie2   

  1. 1. Shanghai Shinan Electric Power Corporation of State Grid,Shanghai 200233,China
    2. School of Electronic Information and Electrical Engineering,Shanghai Jiaotong University,Shanghai 200240,China
  • Received:2020-09-27 Online:2020-12-30 Published:2021-01-05

摘要:

需求侧资源的接入会对配电网产生诸多影响,为了进一步优化配电网规划方案的经济性和可行性,亟需在规划过程中考虑配电网与多种需求侧资源的协同交互。提出了计及可中断负荷、分布式光伏和电动汽车充电设施的配电网扩展双层规划模型。上层模型对配电网扩容和需求侧资源接入方案进行规划,下层模型优化需求侧资源的运行策略,并且采用基于蒙特卡洛模拟的机会约束方法处理多重不确定性。IEEE33节点算例验证表明,所提规划方案能够充分发挥需求侧资源的经济和环境效益,降低配电网扩容的成本,实现了多种需求侧资源与配电网的协同规划。

关键词: 需求侧资源, 配电网规划, 随机规划, 机会约束, 蒙特卡洛模拟

Abstract:

Based on stochastic programming and chance constraint theory,this paper established a bi-level planning model for distribution network expansion that takes into account with multi-type DERs,which include interruptible loads,distributed photovoltaic and electric vehicle charging stations.The upper model optimizes the expansion of distribution network and the access of DERs,and the lower model optimizes the operation strategy of DERs.The model uses a probabilistic power flow algorithm based on Monte Carlo simulation to deal with the uncertainty of load and DERs.Taking the IEEE 33-node test system as an example,the result shows that the distribution system expansion planning model established in this paper can give full play to the role of DERs in economical and environmental improvement,reduce the cost of distribution network expansion,and thus realize a variety of DERs coordinated planning with distribution networks.

Key words: distributed energy resource, distribution system planning, stochastic programming, chance constraint theory, Monte Carlo simulation

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