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Power distribution network source network load storage collaborative optimization scheduling model and method considering carbon emission

A technology of collaborative optimization and scheduling method, applied in the direction of electrical components, circuit devices, AC network circuits, etc., can solve the problems of distribution network synchronization inertia reduction, overvoltage, etc.

Pending Publication Date: 2021-09-10
STATE GRID FUJIAN ELECTRIC POWER CO LTD +1
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Problems solved by technology

The large-scale access of clean energy will cause problems such as the reduction of synchronous inertia of the distribution network and local overvoltage, which will bring major challenges to the safe and stable operation of the distribution network.

Method used

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  • Power distribution network source network load storage collaborative optimization scheduling model and method considering carbon emission
  • Power distribution network source network load storage collaborative optimization scheduling model and method considering carbon emission
  • Power distribution network source network load storage collaborative optimization scheduling model and method considering carbon emission

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Embodiment

[0254] In this embodiment, the improved IEEE 33 node system is used for simulation, and the topology diagram is as attached Image 6 shown. Among them, branch 1 to branch 32 are ordinary branches, and branch 33 to branch 37 are tie line branches.

[0255] Since branch 1 does not constitute a loop, it is always closed. There are five basic loops in this system, and the numbers of the branches included in the loop are shown in Table 1.

[0256] Table 1 Encoding method of closed loop

[0257]

[0258] Since the grid variables are special and need to satisfy radial constraints, the traditional binary update iteration method will inevitably produce a large number of infeasible solutions. Therefore, in the population update process, the constraints are added as follows, taking loop 1 and loop 2 as examples . Binary variable 1 indicates that the branch is disconnected, binary variable 0 indicates that the branch is closed, and the loop 1 contains 10 branches in total. When ther...

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Abstract

The invention provides a power distribution network source network load storage collaborative optimization scheduling model and method considering carbon emission, which are used for collaborative scheduling of a load part and an energy storage part of a power distribution network. The method comprises the following steps: S1, selecting a load storage element of a load storage collaborative scheduling model by taking an optimized carbon emission level as a standard; s2, taking the carbon emission level of the power distribution network, the scheduling operation cost and the voltage stability as optimization objectives, and taking the active output of the distributed power supply, the reactive output of the distributed power supply, the input level of a switchable capacitor, the tap adjustment of an on-load tap-changing transformer and the network frame of the power distribution network as decision variables, establishing a power distribution network source network load storage collaborative optimization scheduling model considering carbon emission; s3, solving the scheduling model established in the step S2 by using a multi-target particle swarm algorithm with elite strategy rapid non-dominated sorting; and carrying out scheduling according to a solving result; The method can effectively reduce the carbon emission level of the power distribution network, improves the operation economy of the power distribution network, and improves the voltage stability of the system.

Description

technical field [0001] The invention relates to the technical field of distribution network security and dispatching, in particular to a distribution network source network load-storage collaborative optimization dispatching model and method considering carbon emissions. Background technique [0002] With the continuous development of the power system, the power grid will transform into an electricity-centric energy Internet. In order to achieve the goal of "carbon peaking and carbon neutrality", the energy structure will accelerate the transition to clean energy, and the distribution network will become an important platform for distributed clean energy. The large-scale access of clean energy will cause problems such as the reduction of synchronous inertia of the distribution network and local overvoltage, which will bring major challenges to the safe and stable operation of the distribution network. Active management is an important feature of the future distribution netw...

Claims

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Application Information

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IPC IPC(8): G06F17/11H02J3/00
CPCG06F17/11H02J3/00H02J2203/20Y02A90/10
Inventor 倪识远张林垚吴桂联郑洁云林婷婷
Owner STATE GRID FUJIAN ELECTRIC POWER CO LTD
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