Hydrothermal Dynamic Optimal Power Flow Of Power System Connected With Electric Vehicle

Under the pressure of the energy scarcity and low-carbon economy, governments of countries all pay transcendent attention to the development of electric vehicle (EV), and take the view that EV is the effective approach to improve energy efficiency and energy-saving and emission reduction. Against this background, with the continuous development of battery technology and smart grid, EV is starting to spread and applied in the worldwide scope, and then EV’s share of the market will increase quite rapidly. But large-scale application of Evs will have a negative impact to power grid, when charging and discharging arbitrarily. Hence, reasonable control and optimization of the charging and discharging EVs is necessary, and the bidirectional complementary coordinating problem considering fleets of EVs on powert grid need to be researched.Hydropower can save consumption energy and can bring immeasurable economic benefits. The thesis particularly analyzes the charging EVs would have a negative effect on power system under the2-period pattern. Based on dynamic optimal power flow(DOPF), hydrothermal DOPF considering Evs under the2-period pattern is solved. It constructs three test system On the basis of the market system JAES6, IEEE14, IEEE30. The numerical results show that the charging Evs may lead to the overlap peak of system load, enlarge the peak-valley gap,and have direct impact on the capacity of the system. Thus it can provide the foundation for presenting a model of hydrothermal DOPF considering Evs under the optimal charging and discharging pattern.Due to the characteristics of charging and discharging of Ev, it is available for power system dispatching. Based on the charging EV under the2-period pattern, this paper presents a model of hydrothermal DOPF considering Evs under the optimal charging and discharging pattern. According to the feature of the model, the complementary modern interior point method is derived. hydrothermal DOPF considering Evs under the optimal charging pattern is analyzed, and compared with the charging Evs under the2-period pattern.Using the complementary modern interior point method, hydrothermal DOPF considering Evs under the optimal charging and discharging pattern is solved for three testing systems. The numerical results show that reasonable control and optimization of the charging and discharging Evs would be beneficial to smooth the peak-valley gap, change the load characteristics of power system,and make the power system stable operation. Fixed-head hydro power plant can quickly response the variations of to load, and smooth the output of thermal power unit. Consequently it is verified that the model is rational, and the algorithm is stability with good convergence.