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Coordinated Voltage Control of a Wind Farm Based on Model Predictive Control
This paper presents an autonomous wind farm voltage controller based on model predictive control. The reactive power compensation and voltage regulation devices of the wind farm include static Var
Distribution Locational Marginal Pricing Through Quadratic Programming for Congestion Management in Distribution Networks
This paper presents the distribution locational marginal pricing (DLMP) method through quadratic programming (QP) designed to alleviate the congestion that might occur in a distribution network with
Combined Active and Reactive Power Control of Wind Farms Based on Model Predictive Control
This paper proposes a combined wind farm controller based on Model Predictive Control (MPC). Compared with the conventional decoupled active and reactive power controls, the proposed control scheme
Participation of an Energy Hub in Electricity and Heat Distribution Markets: An MPEC Approach
A mathematic program with equilibrium constraints (MPEC) model is proposed to study the strategic behaviors of a profit-driven EH in the electricity and heating markets under the background of energy system integration.
Distribution Locational Marginal Pricing for Optimal Electric Vehicle Charging Management
This paper presents an integrated distribution locational marginal pricing (DLMP) method designed to alleviate congestion induced by electric vehicle (EV) loads in future power systems. In the
A Sufficient Condition on Convex Relaxation of AC Optimal Power Flow in Distribution Networks
This paper proposes a sufficient condition for the convex relaxation of ac optimal power flow (OPF) in radial distribution networks as a second order cone program (SOCP) to be exact. The condition
Average behavior of battery-electric vehicles for distributed energy studies
An average behavior of battery-EVs is obtained in relation to a number of variables such as current rates for charging and discharging, temperature, depth-of-discharge and number of cycles to show that battery- EVs are nonlinear time-variant systems which however can be modeled with good approximation if time, geographical location and battery use conditions are known.
Optimal Day-Ahead Charging Scheduling of Electric Vehicles Through an Aggregative Game Model
A day-ahead EV charging scheduling based on an aggregative game model based on the pure strategy Nash equilibrium is proposed and an optimization method is developed to calculate the equilibrium of the game model through quadratic programming.