Abstract: A dispatching method for an electric-hydrogen energy system considering flexible hydrogen demand includes establishing an electric load flexibility equation, a power purchase and sale constraint equation, a renewable energy output constraint equation, a hydrogen load flexibility equation, an electricity-to-hydrogen production safety operation constraint equation and an electric power balance constraint equation, establishing an electric-hydrogen energy system dispatching model with the lowest operating cost of the electric-hydrogen energy system within the dispatching cycle as an objective function, and solving the electric-hydrogen energy system dispatching model to obtain an optimal dispatching result. As compared with the prior art, the present invention can effectively solve the problem of coordination between electric and hydrogen energy flows, while taking into account the flexibility of electric and hydrogen loads, further providing additional flexibility to the operation of the system.

Abstract: A dispatching method for an electric-hydrogen energy system considering flexible hydrogen demand includes establishing an electric load flexibility equation, a power purchase and sale constraint equation, a renewable energy output constraint equation, a hydrogen load flexibility equation, an electricity-to-hydrogen production safety operation constraint equation and an electric power balance constraint equation, establishing an electric-hydrogen energy system dispatching model with the lowest operating cost of the electric-hydrogen energy system within the dispatching cycle as an objective function, and solving the electric-hydrogen energy system dispatching model to obtain an optimal dispatching result. As compared with the prior art, the present invention can effectively solve the problem of coordination between electric and hydrogen energy flows, while taking into account the flexibility of electric and hydrogen loads, further providing additional flexibility to the operation of the system.

Abstract: A method for predicting the operation state of a power distribution network based on scene analysis is provided, comprising the following steps of step 10) obtaining the network structure and historical operation information of a power distribution system; step 20) extracting representative scene sequence fragments of output of the DGs according to historical output sequences of the DGs; step 30) obtaining a multi-scene prediction result of a future single-time section T0 through matching the historical similar scenes; step 40) establishing a future multi-time section operation scene tree; and step 50) deeply traversing all scenes in the future multi-time section operation scene tree, performing power distribution network load flow analysis for each scene, calculating the line current out-of-limit risk and the busbar voltage out-of-limit risk of the power distribution network, and obtaining a future operation state variation tendency of the power distribution network with the DGs.

Abstract: Disclosed is an integrated energy system operational optimization method considering thermal inertia of district heating networks and buildings, comprising the following steps. Step 10: respectively establish a district heating network model considering transmission delay and heat loss and a building model considering thermal storage capacity. Step 20: establish an integrated energy system optimization model consisting of a combined cooling, heat and power system model, the district heating network model and the building model. Step 30: solve the integrated energy system optimization model to obtain an optimal scheduling plan, control outputs of a gas turbine and a gas boiler per hour according to the optimal scheduling plan, and purchase electricity from a power grid and a wind power. According to the method, both the district heating network and buildings are included in a scheduling scope, so that the load adjustment with multiple degrees of freedom can be achieved.

Abstract: A CHP optimal dispatching model is a mixed integer programming model and is used for a district heating system (DHS) comprising a heat source, a heating network and a heat load, and the heating network comprises a heat transmission network and a heat distribution network. A plurality of heating areas is divided, and one day is divided into a plurality of time periods; the heat transmission loss of the heat distribution network is omitted, and a heat transmission network model taking transmission time delay of the heating network into consideration is established according to the heat transmission network; a terminal heat consumer model capable of reflecting indoor temperature is established; and a combined optimal dispatching model comprising conventional generators, wind power units, CHP units, electric boilers and heat storage tanks is established.

Abstract: A decentralized voltage control method for a microgrid based on nonlinear state observers, comprising the steps of step 10), establishing a large-signal model of distributed generations, a connection network and impedance-type loads in the microgrid; step 20), establishing a Luenberger-like nonlinear state observer for each distributed generation; step 30), estimating the dynamic characteristics of other distributed generations in real time based on the local measured values of each distributed generation; and step 40), implementing the decentralized voltage control based on the control requirements of reactive power sharing and voltage restoration. The control method realizes the voltage control of microgrid based on the decentralized state observers, which does not rely on communication transmission or remote measurement and avoids the adverse effects of communication latency and data drop-out on the control performance.

Abstract: A method for predicting the operation state of a power distribution network based on scene analysis is provided, comprising the following steps of step 10) obtaining the network structure and historical operation information of a power distribution system; step 20) extracting representative scene sequence fragments of output of the DGs according to historical output sequences of the DGs; step 30) obtaining a multi-scene prediction result of a future single-time section T0 through matching the real time scene with historical similar scenes; step 40) establishing a future multi-time section operation scene tree; and step 50) deeply traversing all scenes in the future multi-time section operation scene tree, performing power distribution network load flow analysis for each scene, calculating the line current out-of-limit risk and the busbar voltage out-of-limit risk of the power distribution network, and obtaining a future operation state variation tendency of the power distribution network with the DGs.

Abstract: The invention discloses a general distributed control method for multi-microgrids with both PQ controlled and droop controlled distributed generators, which comprises the following steps of: step 10) conducting primary control to maintain the power balance of the multi-microgrids; step 20) determining predefined group consensus values of pinned agents; step 30) seeking group consensus among other agents and the pinned agents through communication coupling; and step 40) adjusting output powers to complete secondary control. Based on pinning control, the control method which adopts hierarchical control is a distributed control method for distributed power supply clusters with two control modes comprising PQ control and droop control.

Abstract: Disclosed is an integrated energy system operational optimization method considering thermal inertia of district heating networks and buildings, comprising the following steps. Step 10: respectively establish a district heating network model considering transmission delay and heat loss and a building model considering thermal storage capacity. Step 20: establish an integrated energy system optimization model consisting of a combined cooling, heat and power system model, the district heating network model and the building model. Step 30: solve the integrated energy system optimization model to obtain an optimal scheduling plan, control outputs of a gas turbine and a gas boiler per hour according to the optimal scheduling plan, and purchase electricity from a power grid and a wind power. According to the method, both the district heating network and buildings are included in a scheduling scope, so that the load adjustment with multiple degrees of freedom can be achieved.

Abstract: The invention discloses a general distributed control method for multi-microgrids with both PQ controlled and droop controlled distributed generators, which comprises the following steps of: step 10) conducting primary control to maintain the power balance of the multi-microgrids; step 20) determining predefined group consensus values of pinned agents; step 30) seeking group consensus among other agents and the pinned agents through communication coupling; and step 40) adjusting output powers to complete secondary control. Based on pinning control, the control method which adopts hierarchical control is a distributed control method for distributed power supply clusters with two control modes comprising PQ control and droop control.

Abstract: A decentralized voltage control method for a microgrid based on nonlinear state observers, comprising the steps of step 10), establishing a large-signal model of distributed generations, a connection network and impedance-type loads in the microgrid; step 20), establishing a Luenberger-like nonlinear state observer for each distributed generation; step 30), estimating the dynamic characteristics of other distributed generations in real time based on the local measured values of each distributed generation; and step 40), implementing the decentralized voltage control based on the control requirements of reactive power sharing and voltage restoration. The control method realizes the voltage control of microgrid based on the decentralized state observers, which does not rely on communication transmission or remote measurement and avoids the adverse effects of communication latency and data drop-out on the control performance.

Abstract: A CHP optimal dispatching model is a mixed integer programming model and is used for a district heating system (DHS) comprising a heat source, a heating network and a heat load, and the heating network comprises a heat transmission network and a heat distribution network. A plurality of heating areas is divided, and one day is divided into a plurality of time periods; the heat transmission loss of the heat distribution network is omitted, and a heat transmission network model taking transmission time delay of the heating network into consideration is established according to the heat transmission network; a terminal heat consumer model capable of reflecting indoor temperature is established; and a combined optimal dispatching model comprising conventional generators, wind power units, CHP units, electric boilers and heat storage tanks is established.