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Method For Estimating Optimal Power Flows In Power Grids Using Consensus-based Distributed Processing

An optimal power flow and consistency technology, applied in the power grid field, can solve problems such as the inability to ensure the feasible point of the OPF problem

Active Publication Date: 2016-03-16
MITSUBISHI ELECTRIC CORP
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

This method also uses SDP relaxation, and then uses the dual algorithm for distributed optimization, which cannot ensure the feasible point of the OPF problem
[0010] Also, the methods described only consider the case where the grid is modeled as a tree, and both of those methods use maximal clique decomposition

Method used

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  • Method For Estimating Optimal Power Flows In Power Grids Using Consensus-based Distributed Processing
  • Method For Estimating Optimal Power Flows In Power Grids Using Consensus-based Distributed Processing
  • Method For Estimating Optimal Power Flows In Power Grids Using Consensus-based Distributed Processing

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Embodiment Construction

[0025] Embodiments of the present invention provide a method for optimal power flow (OPF) in a power grid using consensus-based distributed processing.

[0026] grid representation

[0027] Such as Figure 1B As shown, we model the grid as a graph 50, where the vertex set Including all buses in the grid, the links ε between vertices are the elevated or underground transmission lines connecting the buses.

[0028] Each bus Can be connected to generator or load. The set of buses connected to the generator is represented as For convenience, the bus connected to the generator is referred to as the generator bus. A bus without any generators is called a loaded bus. We use i~j to denote that bus i is connected to bus j.

[0029] The active and reactive generated power at bus i is expressed as with The power demand at bus i is expressed as The complex voltage at bus i is denoted as V i = e i +jf i , where e i is the real part (Re) of the voltage, f i is the ima...

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Abstract

The invention provides a Method for estimating optimal power flows in power grids using consensus-based distributed processing. The method estimates an optimal power flows (OPF) in a power grid, which is represented as a graph partitioned into virtual sub-graphs, each including at least one bus, and associated with agents that measure local variables and updates consensus variables (CV). The consensus variables of adjacent virtual sub-graphs are exchanged and updated using the agents. An OPF problem is solved for the virtual sub-graphs using the agents based on the CV and the local variables. The exchanging and the solving are iterated until a termination condition is satisfied, when the optimal OPF is outputted for each virtual sub-graph.

Description

technical field [0001] The present invention relates generally to power grids, and more particularly to estimating power flows in power grids using distributed processing. Background technique [0002] The power grid distributes electricity from generators to consumers (loads) via transmission lines and substations. Optimal power flow (OPF) is a key problem to be solved in power grid operation. Under the constraints of generation constraints, voltage constraints, and transmission line thermal constraints, the solution to the OPF problem estimates active and reactive power generation as well as voltages of the buses in the grid to minimize generation costs. OPF is critical to the reliable operation of the grid. [0003] OPF is difficult to solve because the problem is non-convex and nonlinear. In general, non-convexity makes it difficult to ensure a globally optimal solution due to the quadratic relationship between the voltages of adjacent buses. OPF is a large-scale opt...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/00
CPCG06F13/00H02J3/38H02J3/46H02J2203/20Y02E40/70Y02E60/00Y04S10/50Y04S40/20Y04S20/222Y02B70/3225H02J3/0075
Inventor M·本诺斯曼刘杰A·拉格胡娜汉
Owner MITSUBISHI ELECTRIC CORP
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