10 results about "Power system topology" patented technology

The application discloses a novel power system dynamic simulation method and system based on an improved inverter model, relates to the technical field of novel power system stability analysis, and comprises the following steps: acquiring power system topology information, a control type of an inverter installed in the power system and an installation node, and constructing a node admittance matrix of an alternating current side system; according to the control type of the inverter, adding an adaptive bus model to the installation node of the inverter, and constructing an inverter state space model containing complete control links; performing power flow calculation on the alternating current side system by adopting a Newton-Raphson polar coordinate method, and taking the power flow calculation result as an initial value of electromechanical transient simulation calculation; respectively setting time domain simulation calculation methods of the alternating current side system electromechanical transient and the inverter side model, unifying simulation time and a step length, performing cyclic iteration solving of the alternating current side system and the inverter side model based on the initial value, and outputting a high-precision dynamic simulation calculation result of key parameters of the inverter until the simulation time ends.

This invention belongs to the field of power system analysis technology, and discloses a method, system, equipment, and medium for phased state estimation of power systems. The method includes: calculating the node admittance matrix based on the power system topology and branch parameters; configuring SCADA and PMU at the corresponding nodes of the power system to construct a measurement-state Jacobian matrix H; acquiring SCADA and PMU measurement data and performing time synchronization processing on the two types of measurement data; using a GM estimator to perform nonlinear robust state estimation on the SCADA measurement data to obtain a first estimation result; combining the first estimation result with the PMU measurement data, and performing linear robust state estimation on the combined data to obtain the power system state estimation result. By performing phased and differentiated processing on the two types of measurement data, the complementary advantages of SCADA's wide-area coverage and PMU's high-precision measurement are fully utilized, significantly improving the accuracy and reliability of state estimation in mixed measurement environments.

The application relates to a unit power generation plan determination method and device, computer equipment and a storage medium. The method comprises the following steps: acquiring multi-source power operation data and a power system topology graph, constructing a graph structured data set, constructing a plurality of independent information flow channels based on the graph structured data set, performing space-time joint coding on each information flow channel to obtain node level feature representation of each information flow channel, performing weighted fusion on each node level feature representation through a preset gating fusion mechanism to obtain a node fusion embedding vector, coupling the node fusion embedding vector and a preset historical output baseline through a preset double-gating residual operator to generate a regional energy power generation power scheme, performing parallel level reasoning on the regional energy power generation power scheme to obtain a unit power generation plan, and performing feasibility checking on the unit power generation plan to obtain a target unit power generation plan to be executed. The method can obtain a more accurate and reliable unit power generation plan, which is beneficial to power dispatching.

This invention discloses a method for locating generator units based on low-frequency oscillation mode correlation in a power system. It constructs a generator unit location model guided by modal information and combines it with a phased training strategy to achieve coordinated optimization of low-frequency oscillation mode identification and related generator unit location. Specifically, in the first phase, the first branch of the model is trained using generator operation measurement data and power system topology information. In the second phase, the second branch is trained based on the low-frequency oscillation mode parameters output from the first phase and the generator power angle time series. During generator unit location, the two types of features are fused through feature mapping and weight allocation mechanisms, allowing oscillation mode information to participate in the weight calculation of generator time series features, thereby obtaining the correlation prediction results of each generator under different oscillation modes.

The application discloses a power system transmission section transmission power limit and fault analysis method. A system topology undirected graph capable of representing the topology structure of a power system is constructed, a transmission section parameter model of a standardized operation mode is established, and the sending end and the receiving end of the transmission section are determined. A power system transmission section sending end unit automatic search model based on a topology analysis method is further constructed, and fault cards for transient stability analysis of different elements and fault types are generated in batches. A transmission section transmission power analysis model is constructed based on GRPO, and a transmission section transient stability transmission limit calculation model is constructed by adopting a repeated power flow strategy to determine the transient stability transmission limit of the target transmission section. A transmission section fault identification model considering transient stability constraints is constructed to identify the key fault restricting the transmission capacity of the target transmission section.

The application discloses a power grid leading instability mode identification method considering feature engineering and image dimensionality, comprising the following steps: acquiring initial electrical quantity features and power grid fault sample input time series curves; constructing an operation state feature supplement sequence considering static features and dynamic features in the operation state; constructing a power system topology structure feature supplement sequence; constructing a fusion feature index; acquiring power grid fault sample input time series curves considering feature engineering; constructing a dynamic fluctuation weight index measuring the dynamic fluctuation degree of the curve; screening the power grid fault sample input time series curves considering feature engineering; encoding the screened input time series curves into two-dimensional images; inputting the two-dimensional images into a pre-trained power grid leading instability mode intelligent identification model to obtain leading instability mode identification results. The application further improves the application value of the power grid leading instability mode identification based on the data-driven method.

This invention discloses a method for optimizing the configuration of an integrated power system for multi-energy hybrid ships. The method involves obtaining the propulsion power demand and daily load power demand of the target ship, determining the DC main grid voltage and AC distribution grid voltage, and designing the integrated power system topology. Based on the propulsion power demand and daily load power demand, the methods calculate the capacity of the propulsion inverter, daily inverter, and converter. A multi-objective optimization model for generator configuration is established and solved under constraints to determine the rated power and number of generators. The load curve is analyzed, and energy storage capacity boundaries and load threshold boundaries are set. Based on energy management strategies and a life-cycle cost model, the capacity and number of energy storage systems are determined. Finally, the method outputs the configuration scheme of the integrated power system. This invention enables efficient, economical, and safe operation of the integrated power system for multi-energy hybrid ships, fully leveraging the complementary advantages of generator sets and energy storage systems, and reducing fuel consumption and emissions.

The application provides a method and device for determining the operation state of a power system, wherein the method comprises: acquiring a power system topology structure and a voltage amplitude vector of the power system at each time section; calculating a state evaluation index value based on the power system topology structure and the voltage amplitude vector; and determining the operation state of the power system according to the state evaluation index value; wherein the state evaluation index value comprises a first state evaluation index value and a second state evaluation index value. The method can overcome the defects of the prior art, such as slow analysis speed and low accuracy of the analysis result, by acquiring real-time synchronous phasor measurement data, combining the topology structure of the power system, and calculating the state evaluation index value, so that the steady-state operation or transient operation of the power system can be determined quickly and accurately.

The application discloses a power system flexible resource scheduling control method and system based on a graph database, relates to the technical field of resource scheduling control, and comprises the following steps: constructing a power system topology graph model based on a graph database, and dividing an initial section boundary region through a shortest path algorithm; constructing a dynamic boundary model, and identifying an abnormal section region in combination with a preset power flow equation; acquiring a candidate capacity boundary set; under a plurality of preset disturbance scales, filtering and disturbing the candidate capacity boundary set to obtain a plurality of capacity response values, and determining an optimal credible capacity boundary; updating the optimal credible capacity boundary to the graph database and generating a core flexible resource scheduling instruction to perform resource scheduling. The application solves the problem that, in traditional scheduling, a closed-loop mechanism from capacity boundary analysis to graph database updating and scheduling instruction generation is not established, so that capacity boundary information cannot effectively guide scheduling decisions.

The application relates to the field of power system topology wiring analysis, and provides a main wiring type identification method and device based on interval topology, equipment and a medium, the method comprises the following steps: formulating the structure type and classification principle of a switch interval, including 6 types of circuit breaker intervals and 2 types of disconnector intervals; dividing switch equipment into corresponding interval types, constructing an interval topology relationship from the switch interval and the connected equipment; based on the interval topology relationship, preprocessing the wiring to be processed to obtain each switch interval type set of the wiring to be processed; based on the wiring characteristics of various wirings, wiring identification is performed in combination with each switch interval type set to determine the main wiring type of the wiring to be processed. The main wiring type identification method based on the interval topology provided in the application embodiment improves the accuracy of main wiring type identification and provides accurate static data for the error prevention rule judgment of a transformer substation.