3 results about "Dynamic programming" patented technology

The invention relates to a multi-target random fuzzy dynamic optimal energy flow modeling and solving method for a multi-energy coupling transmission and distribution network and belongs to the field of day-ahead scheduling plan research of electric power systems in an energy interconnection environment. The method comprises the following steps: basic data in a system scheduling period are obtained,; random fuzzy space-time sequence models for large-scale wind power, distributed power source and multi-energy loads are obtained via historical data mining; power and voltages of a power transmission network and all active distribution networks at joint nodes are used as share variables; multi-target SoS dynamic optimal energy flow models characterized by high economic performance, low carbon emission, renewable energy absorption, loss reduction and the like are built within static state security constraints; multi-energy source charge forecast can be realized through random fuzzy simulation; a Pareto solution set, an optimal compromise solution and an energy flow result can be obtained via adoption of an improved SoS layered optimizetion algorithm based on approximate dynamic programming and NSGA-11. The method can adapt to a development trend of energy interconnection, and comprehensive coordination optimization of day-ahead scheduling of transmission and distribution parties can be realized on the premise that requirements for static state safety and stabilization of systems can be satisfied.

The invention discloses an RTDS simulation resource distribution method and system based on multi-backpack problem analysis. The method comprises the following steps of dividing a power grid into a plurality of sub-networks at a cross section meeting decoupling conditions, calculating the total amount of simulation storage unit resources required by power grid modeling, wherein each RACK can storea resource calculation result, calculating the number of RACK required by the primary power grid model, abstracting the divided sub-networks as to-be-loaded objects, abstracting each RACK as a backpack, and establishing a multi-backpack problem mathematical model for RTDS simulation resource distribution, and solving a multi-backpack dynamic programming algorithm for RTDS simulation resource distribution, and carrying out RTDS simulation resource distribution. According to the method, the modeling designers can be effectively assisted to distribute the RTDS simulation resources through quantitative analysis, and the rationality of the RACK resource distribution and the stability of the simulation operation are improved.