Cui Qi, Liu Feng
The College of Economics and Management, Shenyang Agricultural University, Shenyang 111000, LiaoNing, China.
Heliyon. 2024 Mar 22;10(7):e28344. doi: 10.1016/j.heliyon.2024.e28344. eCollection 2024 Apr 15.
In this study, a multi-agent system (MAS) is incorporated in a decentralized strategy to restore distribution systems while taking into account coupling neighboring microgrids (CNMGs). This provides modeling for renewable energy sources (RESs), electric vehicles (EVs), battery storage systems (BSS) and load. The desired and most favorable restoration path is found by the MAS, in which zone agents are dispersed across the distribution system. The MAS can also manage microgrids (MGs) overloaded as the unbalance operation of RESs, BSS, EVs, and load. This is realized by making a bridge between MGs and neighboring non-overloaded MGs. The suggested method adheres to voltage and power flow restrictions while operating according to expert system standards. The recommended approach is put to the test using a 33-bus radial distribution system. MATLAB calculations on agents and power flow are carried out in order to verify the validity of the choices made by agents. The proposed restoration plan is able to obtain the best power supply path with a low number of switching in the event of a fault so that the voltage magnitude is higher than 0.9 p.u. and free capacity is available for the distribution lines. The smart charging strategy of EVs reduces 93% of their turn off compared to the non-smart charging strategy. However, if the CNMG plan is established, all vehicles can be powered.
在本研究中，一个多智能体系统（MAS）被纳入一种去中心化策略，以在考虑耦合相邻微电网（CNMG）的情况下恢复配电系统。这为可再生能源（RES）、电动汽车（EV）、电池储能系统（BSS）和负荷提供了建模。MAS找到期望且最有利的恢复路径，其中区域智能体分散在配电系统中。MAS还可以管理因RES、BSS、EV和负荷的不平衡运行而过载的微电网（MG）。这是通过在MG与相邻未过载的MG之间架起一座桥梁来实现的。所提出的方法在按照专家系统标准运行时遵守电压和潮流限制。所推荐的方法在一个33节点辐射状配电系统上进行了测试。为了验证智能体所做选择的有效性，对智能体和潮流进行了MATLAB计算。所提出的恢复计划能够在故障情况下以较少的开关次数获得最佳供电路径，从而使电压幅值高于0.9标幺值，并且配电线路有可用的自由容量。与非智能充电策略相比，电动汽车的智能充电策略减少了93%的车辆停运。然而，如果制定了CNMG计划，所有车辆都可以供电。
