A Cvar-based Modeling Method for Optimal Scheduling of Virtual Power Plant

Abstract

The present invention proposes a VPP optimal scheduling modeling method based on conditional value-at-risk (CVaR), and uses the theory of risk to discuss the VPP scheduling optimization problem. VPP contains a large amount of renewable energy such as wind and solar, and its output is different from conventional energy, and has a strong Therefore, the optimal scheduling problem of VPP is a problem with uncertainty, so that scheduling VPP may face risks, and the use of CVaR theory can accurately measure the risk of VPP in scheduling operation, so as to weigh the economic and risk. In the objective function of the traditional VPP scheduling operation, the present invention adds the CVaR item for measuring risk, so that the objective function of the mathematical model of the problem not only considers the minimum total cost, but also considers the minimum risk, and adds CVaR to the objective function by multiplying a weight coefficient , thus transforming the multi-objective problem into a single-objective problem. The invention also classifies operators with different risk preferences, and provides instructive solutions for VPP operators with different risk preferences.

Description

technical field [0001] The invention belongs to the technical field of power system operation and scheduling, in particular to a CVaR-based virtual power plant optimization scheduling modeling method. Background technique [0002] The environmental pollution caused by traditional power generation and the concept of sustainable development in today's world have prompted the rapid development of renewable energy including wind power and photovoltaic power generation. However, renewable energy power generation is highly random and uncontrollable, and the separate grid connection of wind power and photovoltaics will affect the safe operation of the power system. In order to overcome the above shortcomings, scholars at home and abroad put forward the concept of virtual power plant (virtual power plant, VPP) [3-4]. [0003] Through the organic aggregation of various distributed generators (Distributed Generator, DG), controllable load (dispatchable load, DL) and distributed energ...

AI Technical Summary

Problems solved by technology

[0004] However, during the scheduling operation of virtual power plants, due to the intermittent and random nature of the distributed power generation, the income of VPP operators is fluctuating. How to reasonably allocate the power generation of each distributed power generation will not only affect the income and cost, etc. Economic issues also have a profound impact on whether resources can be fully utilized, environmental issues, etc.

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