Method and device for solving optimal power flow in power supply system, and storage medium

A device for solving an optimal power flow in a power supply system, comprising a housing, a processor, a memory, a circuit board and a power circuit, the circuit board is arranged inside a space enclosed by the housing;

• the processor and the memory are disposed on the circuit board;
• the power circuit is configured to provide power for individual circuit or component;
• the memory is configured to store a executable program code;
• and the processor, by reading the executable program code stored in the memory, is configured to run a program corresponding to executable the program code, so as to perform the followings:
• acquiring an active power of a generator connected to each node from the power supply system;
• determining a target function of an optimal model of the optimal power flow according to the active power of the generator connected to each node;
• determining a first constraint of the optimal model of the optimal power flow;
• converting the first constraint into a convex constraint based on convex functions so as to obtain a first convex optimal model, wherein the first convex optimal model comprises the target function and the first constraint;
• determining an initial value at iteration k=0, based on the first convex optimal model;
• at iteration k, performing a linearization to the convex functions, so as to obtain a linear function;
• establishing a second convex model of the optimal power flow according to the linear function, and setting a second constraint to the second convex model;
• determining a relaxation variant sum e according to the second convex model;
• and
• judging whether the relaxation variant sum e is greater than a preset threshold;
• if the relaxation variant sum e is greater than the preset threshold, adding the iteration value k by 1, and returning an act of performing the linearization to the convex functions, so as to obtain the linear function;
• and
• if the relaxation variant sum e is not greater than the preset threshold, stopping determining the optimal power flow of the power supply system.

A non-transitory computer-readable storage medium, configured to store an application for performing:

• acquiring an active power of a generator connected to each node from the power supply system;
• determining a target function of an optimal model of the optimal power flow according to the active power of the generator connected to each node;
• determining a first constraint of the optimal model of the optimal power flow;
• converting the first constraint into a convex constraint based on convex functions so as to obtain a first convex optimal model, wherein the first convex optimal model comprises the target function and the first constraint;
• determining an initial value at iteration k=0, based on the first convex optimal model;
• at iteration k, performing a linearization to the convex functions, so as to obtain a linear function;
• establishing a second convex model of the optimal power flow according to the linear function, and setting a second constraint to the second convex model;
• determining a relaxation variant sum e according to the second convex model;
• and
• judging whether the relaxation variant sum e is greater than a preset threshold;
• if the relaxation variant sum e is greater than the preset threshold, adding the iteration value k by 1, and returning an act of performing the linearization to the convex functions, so as to obtain the linear function;
• and
• if the relaxation variant sum e is not greater than the preset threshold, stopping determining the optimal power flow of the power supply system.