Distributed economic dispatching method and system for regional power system under non-ideal communication

Abstract

The invention discloses a distributed economic dispatching method and system for a regional power system under non-ideal communication. The method comprises the steps: constructing a communication graph of distributed economic dispatching, and enabling the communication graph to achieve the bidirectional communication connection between a universal node and a generator node; on the basis of the communication graph, establishing a distributed optimization scheduling model by taking global power balance as a constraint and taking the minimum operating cost of a generator set as a target; describing the distributed optimization scheduling model by using a Lagrange primitive dual; obtaining all load power; and inputting the load power into the Lagrange primal dual description for solving to obtain the generating capacity of each generator. An economic dispatching problem is decomposed into a plurality of parallel sub-problems by using a prime-dual principle, the calculation problem of the supply and demand balance of the distributed regional power system is solved, and the load can be reasonably distributed to the generator set to realize optimal dispatching on the premise of ensuring the consistency of the tiny-increasing-rate.

Description

technical field [0001] The invention relates to the technical field of economic dispatching of regional power systems in the electric power industry, in particular to a distributed economic dispatching method and system for regional power systems under non-ideal communication. Background technique [0002] The statements in this section merely provide background information related to the present disclosure and do not necessarily constitute prior art. [0003] With the increasing popularity of distributed energy resources, the flexibility and scalability of the power system are necessary conditions to ensure the reliable operation of the regional power system. An appropriate scheduling strategy must allow the system to scale and be robust to topological perturbations. In addition, the renewal / expansion fee should be slashed to meet the increasing load demand and the increasing number of distributed renewable energy sources. In recent years, a great deal of research has bee...

AI Technical Summary

Problems solved by technology

Second, due to latency and server capacity constraints, it is difficult to achieve satisfactory tracking performance with rolling corrections for centralized scheduling strategies

Third, centralized management lacks protection for the privacy of generators and users

But the existing distributed economic scheduling has the following limitations: 1) It is difficult for participants to obtain some global information through neighbor communication, without this information, it will be impossible to solve the global optimization problem

2) Some key information needs to be shared, which cannot effectively protect user privacy

3) It is difficult to meet the global constraints of supply and demand balance of agents in each region in real time

4) The start-stop status of the unit is not considered in the distributed economic dispatch, which may lead to the problem that there is no feasible solution under extreme operating conditions

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