Virtual power plant combined heat and power scheduling robust optimization model

Abstract

The invention provides a virtual power plant combined heat and power scheduling robust optimization model. A model aggregation unit comprises a distributed generating set, a wind turbine generator set, a photovoltaic set, a combined heat and power (CHP) set, a boiler, electric energy storage, heat energy storage, an electric load and a heat load. Participation of the CHP set in the SRM (Spinning Reserve Market) situation is considered. Aiming at the facing uncertain problem of a virtual power plant (VPP) and resulting risks, robust optimization (RO) is utilized to process uncertainty of the EM electricity price, the SRM electricity price, the wind power capacity, the photovoltaic capacity, the electric load and the heat load, and risk quantification indexes are established, and thus robustness and economical efficiency of a RO model are balanced. The model provided by the invention well solves the existing combined heat and power scheduling optimization model establishment problem of the VPP when participating EM and SRM at the same time, and improves flexibility of decision making, and thus the profit of the VPP is increased. Meanwhile, the introduction of the RO model effectively reduces system risks, and thus the effective reference is provided for a decision maker to select a proper robust factor.

Description

technical field [0001] The invention belongs to the field of power supply dispatching in electric power systems, in particular to a robust optimization model for joint thermoelectric dispatching of a virtual power plant. Background technique [0002] In recent years, combined heat and power (CHP) units have flourished with the advantages of energy conservation and environmental protection, but their close connection between power generation and heat supply reduces their flexibility. Therefore, how to effectively manage them has become an urgent problem The problem. The virtual power plant (VPP) technology provides a new idea to solve this problem. Aggregating CHP units in the form of VPP and controlling their operation through the energy management system can realize the dispatch optimization of CHP units and even VPP as a whole. [0003] During the scheduling process, VPP faces many uncertain factors such as electricity price, renewable energy output and load fluctuation,...

AI Technical Summary

Problems solved by technology

[0004] Purpose of the invention: To provide a robust optimization model for combined heat and power scheduling of a virtual power plant to solve the problem of establishing an optimal model for VPP day-ahead combined heat and power scheduling when participating in the energy market (EM) and the spinning reserve market (SRM) at the same time

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