PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
January 31, 2020Protection and Control of Modern Power Systems172 citationsOpen Access

Multi-objective optimization strategy for distribution network considering V2G-enabled electric vehicles in building integrated energy system

View Full Paper
ZHZhao HuangBFBaling FangJDJin Chun Deng

Key Points

Key points are not available for this paper at this time.

Abstract

Abstract Based on the large-scale penetration of electric vehicles (EV) into the building cluster, a multi-objective optimal strategy considering the coordinated dispatch of EV is proposed, for improving the safe and economical operation problems of distribution network. The system power loss and node voltage excursion can be effectively reduced, by taking measures of time-of-use (TOU) price mechanism bonded with the reactive compensation of energy storage devices. Firstly, the coordinate charging/discharging load model for EV has been established, to obtain a narrowed gap between load peak and valley. Next, a multi-objective optimization model of the distribution grid is also defined, and the active power loss and node voltage fluctuation are chosen to be the objective function. For improving the efficiency of optimization process, an advanced genetic algorithm associated with elite preservation policy is used. Finally, reactive compensation capacity supplied by capacitor banks is dynamically determined according to the varying building loads. The proposed strategy is demonstrated on the IEEE 33-node test case, and the simulation results show that the power supply pressure can be obviously relieved by introducing the coordinated charging/discharging behavior of EV; in the meantime, via reasonable planning of the compensation capacitor, the remarkably lower active power loss and voltage excursion can be realized, ensuring the safe and economical operation of the distribution system.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Huang et al. (2020) studied this question.

synapsesocial.com/papers/6a5d21677d25ef04d2c51262https://doi.org/10.1186/s41601-020-0154-0
Ask AI
Helpful
Bookmark
Share
View Full Paper

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1A Methodology for Optimization of Power Systems Demand Due to Electric Vehicle Charging Load2012 · 283 citations
  2. 2Electric Vehicles Beyond Energy Storage and Modern Power Networks: Challenges and Applications2019 · 131 citations
  3. 3Integrated energy systems planning with electricity, heat and gas using particle swarm optimization2019 · 111 citations
  4. 4Distribution System Reconfiguration Considering Distributed Generators and Plug-in Electric Vehicles2013 · 11 citations
  5. 5Optimal Operation of Plug-In Electric Vehicles in Power Systems With High Wind Power Penetrations2013 · 134 citations