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Power distribution network self-healing scheme optimization method, device and equipment and storage medium
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An optimization method and technology of distribution network, applied in the field of distribution network, can solve problems such as low accuracy
Inactive Publication Date: 2020-08-07
POWER DISPATCHING CONTROL CENT OF GUANGDONG POWER GRID CO LTD
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[0004] This application provides an optimization method, device, equipment and storage medium for a distribution network self-healing scheme, which solves the technical problem of low accuracy in the existing distribution network fault location method
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[0071] The above is the first embodiment of the method for optimizing the distribution network self-healing scheme provided by the embodiment of the present application, and the following is the second embodiment of the method for optimizing the distribution network self-healing scheme provided by the embodiment of the present application.
[0072] see figure 2 , a schematicflowchart of a second embodiment of a method for optimizing a distribution network self-healing scheme in an embodiment of the present application, including:
[0073] Step 201, based on the switch position, load self-healing amount and network constraints of the faulty distribution network, establish a self-healing model to be optimized.
[0074] It should be noted that the self-healing model to be optimized includes:
[0075]
[0076] In the formula, min f is the self-healing model to be optimized, K(k) is whether the kth switch is activated, if it is activated, K(k)=1, otherwise K(k)=0, M is the no...
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Abstract
The invention discloses a power distribution network self-healing scheme optimization method, device and equipment and a storage medium, and the method comprises the steps: S1, building a to-be-optimized self-healing model based on the switching position, load self-healing quantity and network constraint of a fault power distribution network; s2, constructing an initial particle swarm by using N particles, wherein the position Xi of the particle i is i = 1, 2,..., N, the position Xi is the on-off state of a switch k in the particle i, and d is the on-off number of the fault power distributionnetwork; s3, carrying out the t-th iteration of the initial particle swarm, and calculating the t-th position of the particle i after iteration; s4, based on a Metropolis criterion, updating the current position of the corresponding particle i according to the t-th position; s5, judging whether the current position of the particle i meets the convergence condition of the to-be-optimized self-healing model or not, if so, stopping iteration and outputting the current position, and if not, taking t + 1 as a new t, and returning to the step S3; and S6, when t is the preset number of iterations, outputting the tth position of the particle i with the optimal fitness from all the particles.
Description
technical field [0001] The present application relates to the field of distribution network technology, and in particular to an optimization method, device, equipment and storage medium for a distribution network self-healing scheme. Background technique [0002] With the development and application of distributed power, the distribution network has gradually become a comprehensive energy system integrating source, network and load. Distribution network fault self-healing means that when a fault occurs in the distribution network, the topology of the distribution network can be changed by adjusting the position of the section switch and the contact switch, and the non-fault outage area can be quickly self-healed. Due to comprehensive consideration of switch position, load self-healing amount, network constraints and other factors, the power supply self-healing of distribution network is a multi-objective, multi-combination, multi-constraint nonlinear combinatorial optimizati...
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