Power system energy management system (EMS) is a core tool for the dispatching of power generation, transmission and distribution. Based on the supervisory control and data acquisition (SCADA) system, EMS evaluates the economy and security of the power grid operation, and supports the decision making. In order to accomplish this task, many optimization and control functions have been developed in EMS, such as optimal power flow computation considering various costs and safety constrains, automatic voltage and generation control (AVC and AGC). Due to the large scale, nonlinearities and complex dynamics of modern interconnected power system, the optimization and control in EMS are always challenging problems.
Currently, even more new challenges have been imposed by today’s Smart Grid development. High penetration of bulk renewables, demand response options, battery energy storage systems, aging assets and an aging workforce, coupled with increased operating and maintenance costs, security, increased integration with external systems and increased data processing requirements contribute to the needs of a next generation of EMS. For example, the fluctuation of wind and solar power, the uncertainties of demand responses and more flexible energy storage systems will dramatically increase the difficulties to find an optimal solution, which require more efficient and comprehensive optimization and controller design techniques. In addition, with the integration of more intelligent electronic devices (IEDs), a huge amount of field data measured in a wide area can be utilized for the online optimization and control, then some distributed methods instead of centralized ones have been researched.
In this session, besides the optimization and control methods for the traditional dispatching problems in EMS, some recent developments emphasizing the integration and operation capability of bulk renewables and battery energy storage systems will also be provided.