Zhao Huang, Baling Fang, Jin Deng. Multi-Objective Optimization Strategy for Distribution Network Considering V2G-Enabled Electric Vehicles in Building Integrated Energy System[J]. 现代电力系统保护与控制(英文), 2020,5(1):1-8.
Zhao Huang, Baling Fang, Jin Deng. Multi-objective optimization strategy fordistribution network considering V2Genabledelectric vehicles in buildingintegrated energy system[J]. Protection and Control of Modern Power Systems, 2020, 5(1): 1-8.
Zhao Huang, Baling Fang, Jin Deng. Multi-Objective Optimization Strategy for Distribution Network Considering V2G-Enabled Electric Vehicles in Building Integrated Energy System[J]. 现代电力系统保护与控制(英文), 2020,5(1):1-8.DOI: 10.1186/s41601-020-0154-0.
Zhao Huang, Baling Fang, Jin Deng. Multi-objective optimization strategy fordistribution network considering V2Genabledelectric vehicles in buildingintegrated energy system[J]. Protection and Control of Modern Power Systems, 2020, 5(1): 1-8.DOI: 10.1186/s41601-020-0154-0.
Multi-Objective Optimization Strategy for Distribution Network Considering V2G-Enabled Electric Vehicles in Building Integrated Energy System
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.
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.