3.1 STATUS MONITORING AND OPTIMIZATION CONTROL OF THE RENEWABLE ENERGY GENERATION PROCESS
The research is designed to establish date-based status monitoring theory and network-based wide area monitoring information system for wind, solar, biomass energies and other renewable energy sources-based generation equipments, units and stations. In practical terms, multi-objective optimization control strategies considering the wind energy capture efficiency, fatigue load and output power level are presented for the use of wind turbine system; multi-mode switching control methods are presented for the solar power system. For the large-capacity thermal power unit, the research is designed to present methods and technologies regarding boiler combustion control under a wide range of varying load conditions, energy saving optimization control and the unit-network coordination operation control respectively. Last but not least, multi-objective and multi-constraints operation optimization control theory and technology which can meet the grid demand, adaptive to the operation environment and unit characteristics are established.
THE NETWORK TOPOLOGY STRUCTURE OF DATA AND SIMULATION SYSTEM
THE CABINET LAYOUT OF DATA AND SIMULATION SYSTEM THE EXHIBITION OF DATA AND SIMULATION SYSTEM
THE NETWORK TOPOLOGY STRUCTURE OF 1000MW WHOLE INCENTIVE SIMULATOR
THE WIND FARM SIMULATOR SYSTEM
THE EXPERIMENT PLATFORM OF WIND POWER DISPATCHING OPTIMIZATION
HISTORICAL DATABASES FOR DATA CENTER FUNCTIONS OF THE DATA SIMULATION SYSTEM
3.2 MULTI-OBJECTIVE SELF-OPTIMIZING OPERATION CONTROL OF ALTERNATE ELECTRIC POWER SYSTEMS
This research is designed to investigate a novel control mode for power systems based on economy incentive and load management mechanisms. By studying multi-time-scale multi-objective optimization theory and multi-level coordinated control theory for complex power systems, multi-level coordinated active and reactive power optimization control strategies with respect to plant-level, region-level and big district-level are presented, in order to realize the large-scale use of renewable energy power including the wind and the solar. High-performance parallel computing and distributed computing theory for complex power systems are considered, and high-performance parallel algorithm for full network integration calculations and a distributed computing method for multi-control-centers are proposed respectively. The ultimate goal is to achieve multi-objective self-optimizing operation of power systems by maximizing the use of renewable energy sources and minimizing the coal consumption in thermal power plants.
3.3 PROTECTION OF INTERCONNECTED POWER GRID BASED ON THE WIDE AREA INFORMATION
Faced upon the fast time-varying topology structure of the alternate electric power system, a new protection framework for the complex interconnected power grid is presented. Through the study of the fault mechanism of alternate electric power system, new principles of relay protection that can adapt to the integration of the renewable generators are put forward. Besides, targeting on safe operation of power system, the wide area protection and stabilization control theory based on the multiple information sources will be proposed. In addition, adaptive and optimal power system islanding principles are put forward as well. Moreover, studies on acquisition testing and assessment methods of the wide area information will be carried out, with a view to establishing information reliability model, and to developing the robust control theory which considers uncertain information. The research is expected to provide technical support for power system protection and system control.
SUBSTATION AUTOMATION SYSTEM
THE RTDS SIMULATION SYSTEM THE GENERAL CONVERSION CONTROL AND PROTECTION SYSTEM WHICH ADAPT
TO THE INTEGRATION OF THE LARGE-SCALE WIND POWER
GENERAL WIDE AREA PROTECTION AND CONTROL SYSTEM
STATIC AND DYNAMIC AUTOMATIC TEST SYSTEM FOR PMU
