| 引用本文: | 石 铖,安 锐,高红均,等.基于柔性多状态开关和动态重构的配电网灵活运行方法[J].电力系统保护与控制,2023,51(22):133-144.[点击复制] |
| SHI Cheng,AN Rui,GAO Hongjun,et al.Flexible operation method for a distribution network based on flexible multi-state switching and dynamic reconfiguration[J].Power System Protection and Control,2023,51(22):133-144[点击复制] |
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| 摘要: |
| 未来电动汽车(electric vehicle, EV)以及光伏(photovoltaic, PV)在配电网中的接入比例逐渐增高，这不仅带来了复杂的不确定性问题，而且导致了配电网净负荷时空分布的不均衡，从而产生了弃光、失负荷以及潮流分布不均匀的问题。基于此，考虑电动汽车充电负荷以及光伏的不确定性，提出了一种基于柔性多状态开关(flexible multi-state switch, FMS)和动态重构的含高比例电动汽车-光伏配电网灵活运行方法。首先，基于FMS灵活功率调控和网络动态重构，构建了支撑高比例电动汽车-光伏接入的配电网灵活运行框架。其次，利用蒙特卡洛随机模拟法对各类电动汽车充电负荷以及光伏出力进行不确定性建模，建立了基于场景集以及场景缩减法的随机规划模型。然后，建立了以弃光、失负荷、FMS损耗、网损成本最小和负荷均衡度最优为目标的配电网灵活运行模型。最后，在158节点系统上通过算例验证了所提方法的有效性。 |
| 关键词: 柔性多状态开关 光伏 电动汽车 灵活运行 随机规划 |
| DOI：10.19783/j.cnki.pspc.230133 |
| 投稿时间：2023-02-10修订日期：2023-05-12 |
| 基金项目:国家自然科学基金项目资助(52077146) |
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| Flexible operation method for a distribution network based on flexible multi-state switching and dynamic reconfiguration |
| SHI Cheng,AN Rui,GAO Hongjun,JIANG Siyuan,HE Shuaijia,LIU Junyong |
| (College of Electrical Engineering, Sichuan University, Chengdu 610065, China) |
| Abstract: |
| The increasing proportion of electric vehicles (EV) and photovoltaics (PV) in the distribution network in the future not only brings complex uncertainty problems, but also leads to uneven distribution of net load in the distribution network in time and space. This will result in light abandonment, load loss, and uneven tide distribution. Thus this paper proposes a flexible operation method for an EV-PV distribution network with high ratio based on flexible multi-state switching and dynamic reconfiguration. It considers the uncertainty of electric vehicle charging load as well as PV. First, based on flexible multi-state switch (FMS) flexible power regulation and network dynamic reconfiguration, a framework for flexible operation with a high proportion of EV-PV access is constructed. Second, the Monte Carlo stochastic simulation method is used to model the uncertainty of various EV charging loads and PV output. A scenario set and reduction method are established based on scenario set as well as the stochastic planning model. Then, a distribution grid flexible operation model with the objectives of light abandonment, load loss, FMS loss, network loss cost minimization, and load balance optimization is established. Finally, the effectiveness of the proposed method is verified on the 158-node system. |
| Key words: flexible multi-state switching photovoltaics electric vehicles flexible operation stochastic planning |
