Abstract: A method and an apparatus for collecting data related to a status of an electrical power system, wherein data is continuously acquired from the electrical power system and is stored, at least temporarily, in a first volatile memory. Upon the occurrence of an event, the data stored in the first volatile memory is copied and permanently stored in a second non-volatile memory.

Abstract: A method and an apparatus for collecting data related to a status of an electrical power system, wherein data is continuously acquired from the electrical power system and is stored, at least temporarily, in a first volatile memory. Upon the occurrence of an event, the data stored in the first volatile memory is copied and permanently stored in a second non-volatile memory.

Abstract: An optimized dispatch plan generator for generating an optimized dispatch plan for distributed resources in electrical power systems is based on economic and engineering considerations. The dispatch plan generator comprises several subsystems preferably including an energy management subsystem, an energy trading subsystem, an asset management subsystem, a reliability subsystem and a network analysis subsystem integrated with multiple artificial intelligence agents in one embodiment and with a module employing probabilistic techniques in another embodiment. The dispatch plan generator generates one or more solutions identifying the optimal mix and use of distributed resources and also generates a set of reports and graphs for the optimized solution plan.

Abstract: Dispatching schemes for distributed resources involve decisions made at a central location and control orders are transmitted to one or more distributed resources by a communications network. Distributed resources include demand and supply side resources that can be deployed within a distribution and sub-transmission system. Demand side resources include demand side or load management or energy efficiency options while supply side resources include generation sources, including photovoltaics, reciprocating engines, micro turbines, fuel cells, etc.

Abstract: Dispatching schemes for distributed resources involve decisions made locally with respect to a distributed resource. A distributed resource preferably has an intelligent component associated with it. The intelligent component associated with the distributed resource is preferably pre-programmed with one or more dispatching scenarios. Distributed resources include demand and supply side resources that can be deployed within a distribution and sub-transmission system. Demand side resources include demand side or load management or energy efficiency options while supply side resources include generation sources, including photovoltaics, reciprocating engines, micro turbines, fuel cells, etc.

Abstract: Dispatching schemes for distributed resources involve decisions made both at a central location and at the local level with respect to a distributed resource. To handle cases in which a decision made at the central location and a decision made at the local level conflict, a set of rules preferably determines the priority of control. A distributed resource preferably has an intelligent component associated with it. The intelligent component associated with the distributed resource is preferably pre-programmed with one or more dispatching scenarios. Distributed resources include demand and supply side resources that can be deployed within a distribution and sub-transmission system. Demand side resources include demand side or load management or energy efficiency options while supply side resources include generation sources, including photovoltaics, reciprocating engines, micro turbines, fuel cells, etc.