DOI:10.35833/MPCE.2020.000730 Bi-level Optimal Operation Model of Mobile Energy Storage System in Coupled Transportation-power Networks Page view: 0        Net amount: 246 Author: Weiqing Sun1, Wei Liu1, Jie Zhang1, Kunpeng Tian2 Author Affiliation: 1. School of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China 2. School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China Foundation: This work was supported in part by the National Natural Science Foundation of China (No. 51777126). Abstract: The operation characteristics of energy storage can help the distribution network absorb more renewable energy while improving the safety and economy of the power system. Mobile energy storage systems (MESSs) have a broad application market compared with stationary energy storage systems and electric vehicles due to their flexible mobility and good dispatch ability. However, when urban traffic flows rise, the congested traffic environment will prolong the transit time of MESS, which will ultimately affect the operation state of the power networks and the economic benefits of MESS. This paper proposes a bi-level optimization model for the economic operation of MESS in coupled transportation-power networks, considering road congestion and the operation constraints of the power networks. The upper-level model depicts the daily operation scheme of MESS devised by the distribution network operator (DNO) in order to maximize the total revenue of the system. With fuzzy time windows and fuzzy road congestion indexes, the lower-level model optimizes the route for the transit problem of MESS. Therefore, road congestion that affects the transit time of MESS can be fully incorporated in the optimal operation scheme. Both the IEEE 33-bus distribution network and the 29-node transportation network are used to verify and examine the effectiveness of the proposed model. The simulation results demonstrate that the operation scheme of MESS will avoid the congestion period when considering road congestion. Besides, the transit energy consumption and the impact of the traffic environment on the economic benefits of MESS can be reduced. Keywords: Mobile energy storage system ; economic dispatch ; bi-level optimization model ; road congestion ; fuzzy constraint Received:October 09, 2020               Online Time:2022/11/21 View Full Text       Download reader