JOINT OPTIMIZATION OF DAY-AHEAD ENERGY AND PEAK REGULATION CONSIDERING MULTI TYPE MARKET ENTITIES
In new electric power systems,wind power penetration level is increasing continuously,thus requiring more peak-regulation capacities.It is necessary to encourage multi type market entities to actively provide peak-regulation services by joint clear of day-ahead energy and peak regulation markets for a purpose of supporting large-scale wind power consumption.This paper firstly analyzes peak-regulation capacities and bid rules of multi type market entities,such as coal-fired generators,wind farms and energy storage systems.On this basis,a joint optimization of day-ahead energy and peak regulation is developed,which simultaneously considers deep and start-stop peak-regulations of coal-fired generators,wind power curtailment peak-regulation of wind farms and charging peak-regulation of energy storage systems.The optimization attempts to minimize total purchase costs of energy and peak-regulation services subject to technology and bid constraints on market entities,together with constraints on power flow,which is a large-scale mixed integer linear programming(MILP),and can be solved by the CPLEX solver.The simulation experiments based on improved IEEE 14-bus systems validate the proposed joint optimization of day-ahead energy and peak regulation and its solving algorithm.In addition,benefits of multi type market entities resulting from providing peak-regulation services are analyzed based on the simulation experiments.
energy storagewind powerelectricity marketspeak-regulation servicejoint optimization
万方数据
维普
