An expansion planning optimization method for electricity-gas-heat integrated energy system with wind power

Abstract

The invention discloses an expansion planning optimization method for electricity-gas-heat integrated energy system with wind power, comprising the following steps: (1) modelling an energy center including an energy center electric input vector and a gas input vector, CHP, PTG, an initial system, a heat pump system, a power storage system, a heat storage system and an electric, thermal and gas load; (2), carrying out refined expression on the uncertainty of the wind power according to the set time period; (3), according to the modeling in step (1) and the refined expression in step (2), establishing an IES expansion optimization planning model containing wind power, and using a two-stage planning solution strategy based on scene method to obtain the final energy system expansion result. As the couple planning of the power, the gas and the heat sources can reduce the overall planning cost, the economy of the system is greatly improved, and the expansion plan combined with the local wind power access capacity and the load level has a very critical influence on the system economy.

Description

technical field [0001] The invention relates to an IES expansion optimization planning method considering wind power uncertainty, in particular to an expansion planning optimization method of an electric-gas-heat comprehensive energy system including wind power. Background technique [0002] Integrated Energy System (IES), as an energy supply mode with deep coupling between electricity, gas, heat and other energy sources, among which CHP (Combined Heat and Power) is one of the coupling elements, because of its higher energy supply efficiency and system The flexibility of operation has attracted widespread attention, and it will surely become one of the mainstream ways of energy supply in the future. However, considering factors such as the solidification of the existing system model and the complexity of the internal coupling of the IES, the optimization planning problem for the extension of the IES faces many difficulties and further in-depth research and analysis work is u...

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Problems solved by technology

Incorporating randomly fluctuating wind power into IES for joint planning, a mixed integer linear programming model with the goal of minimizing the sum of investment, operation, power shortage and wind curtailment costs is established. At the same time, it is difficult to solve the model directly and efficiently To solve the problem, a two-stage planning solution strategy based on the scenario method is proposed to ensure the efficiency and feasibility of the model solution, so that the coupling planning of the three energy sources of electricity, gas and heat can reduce the overall planning cost and greatly improve the system efficiency. economy

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