Self-adaptive virtual power plant distributed architecture and economic dispatching method thereof

Abstract

The invention relates to the technical field of electrical engineering and automation thereof. The distributed economic dispatching method provided by the invention has self-adaptability and can adapt to the characteristics of mass and variability of distributed resources in a virtual power plant; the decoupling property and the layered distributed architecture of the step length calculation method can adapt to the dispersive characteristic of distributed resources, plug and play of the distributed resources can be achieved, the method has reliable convergence due to existence of a step length upper bound theoretical value, and meanwhile, the problem of economic dispatching of massive distributed resources can be effectively solved through the self-adaptability of the method; the calculation and communication pressure of the system is dispersed through the lightweight design, and the operation efficiency and the adjusting speed of the virtual power plant are remarkably improved; a hosting processing method when a coordinator has a single-point fault is provided, and the whole method has relatively high fault tolerance in combination with the characteristic of supporting plug and play of distributed resources; and the parameter information of the distributed resources is protected by the updating characteristics of the parameters and the layered architecture, and the privacy is realized.

Description

technical field [0001] The invention relates to the technical field of electrical engineering and automation thereof, in particular to a distributed architecture of an adaptive virtual power plant and an economic scheduling method thereof. Background technique [0002] With the expansion of the grid scale and the increasing penetration of distributed energy resources (Distributed Energy Resource, DER), the safe and reliable regulation and economic operation of the power system are becoming more and more important. Reasonable and efficient management of DER and its participation in power The economical operation of the system has become one of the key points and difficulties in the field of electric power research. A virtual power plant (Virtual Power Plant, VPP) is an ideal configuration form for aggregating DER with the help of advanced control, metering, communication and other technologies and management mechanisms. [0003] The existing economic scheduling methods mainl...

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Problems solved by technology

[0003] The existing economic scheduling methods mainly have the following deficiencies: (1) The centralized scheduling method requires the underlying DER unit (DERU) to upload its own parameters and constraints, and the central controller will solve them in a unified manner, and send the scheduling to each unit after obtaining the optimal solution. instruction

Therefore, in practical applications, it is necessary to verify the connectivity of the system during initialization and when the agent exits to avoid information islands, which will increase the additional workload of the system, which is not conducive to the plug-and-play of distributed resources and the online fault tolerance of the system. sex

In addition, because the convergence speed of the distributed scheduling algorithm depends heavily on the connectivity of the communication topology, and the number of iterations to achieve convergence increases significantly with the expansion of the DER scale, the application in the context of massive distributed resources is limited.

(3) For the method of forming a strongly connected graph that does not depend on all DERU communications, the existing literature proposes a distributed algorithm based on the Alternating Direction Multiplier Method (ADMM), which does not need to exchange information between agents, effectively avoiding the need for information However, the penalty coefficient in the algorithm has a great influence on the convergence, and it is not easy to analyze its influence with certainty. The penalty coefficient is generally obtained by trial and error, which limits its application

In addition, all the above methods rely on the cost function of DERU to be a quadratic function of output power, which limits the universality of the method

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