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Electricity-gas joint market centralized clearing method based on sequential linear programming

A sequential linear programming and nonlinear programming technology, applied in the direction of instruments, data processing applications, resources, etc., can solve problems such as calculation errors, ignoring the impact of storage, and inapplicability of centralized clearing

Active Publication Date: 2020-01-24
XI AN JIAOTONG UNIV
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Problems solved by technology

However, most of the existing research on electrical-gas interconnection systems ignores the impact of storage on system operation or only considers the approximate storage of storage after linearization.
[0004] The centralized clearing of the electricity-gas joint market mainly solves the problem of system optimization at the day-to-day level, and has high requirements for calculation efficiency and accuracy. However, the steady-state airflow equation of the gas pipeline is a quadratic equation, which leads to the failure of the electricity-gas interconnection system. The optimization problem is a non-convex nonlinear mixed integer programming problem, which is difficult to solve directly
The calculation accuracy of the piecewise linearization method depends largely on the number of segments, so it is difficult to guarantee the calculation accuracy and calculation efficiency at the same time
It can be seen that the piecewise linearization method is not suitable for solving the centralized clearing problem of the electricity-gas joint market
The second-order cone relaxation method has inevitable calculation errors and cannot be applied to deal with nonlinear storage equations, so the second-order cone relaxation method is also not suitable for centralized clearing of the electric-gas joint market
[0005] In the modeling of the centralized clearing of the electricity-gas joint market, there have been no reports that consider the complex operating characteristics of the natural gas system, such as the nonlinear refinement equation of pipeline storage, and obtain the market clearing results considering the nonlinear natural gas pipeline storage. , therefore, to establish a centralized clearing model of the electric-gas joint market considering the nonlinear transmission characteristics of natural gas, and to achieve a feasible and efficient solution is an urgent problem to be solved in optimizing the resource allocation of the electric-gas interconnection system

Method used

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  • Electricity-gas joint market centralized clearing method based on sequential linear programming
  • Electricity-gas joint market centralized clearing method based on sequential linear programming
  • Electricity-gas joint market centralized clearing method based on sequential linear programming

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Embodiment Construction

[0071] The present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the embodiments described here are only used to explain the present invention, but not to limit the protection scope of the present invention.

[0072] see figure 1 , the centralized clearing method of electricity-gas joint market based on sequence linear programming provided by the present invention comprises the following steps:

[0073] Step 1: Obtain the system data and quotation information required for centralized clearing in the electricity-gas joint market.

[0074] by figure 2 The electricity-gas interconnection system shown is taken as an example, and the simulation analysis of the centralized clearing of the electricity-gas joint market is carried out. The electricity-gas interconnection system consists of an IEEE 39-node power system and a 20-node natural gas system, including 6 coal-fired units, 4 ga...

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Abstract

The invention discloses an electricity-gas joint market centralized clearing method based on sequential linear programming. The method comprises steps of taking minimum total cost of all-day electricenergy and natural gas as a target; considering constraint conditions of a power system, constraint conditions of a natural gas system and coupling constraints of the power system and the natural gassystem, and performing first-order Taylor expansion on the steady-state gas flow equation and the nonlinear pipe storage equation of the gas pipeline to obtain a centralized clearing sequential linearprogramming model of the electricity-gas joint market; solving the sequence linear programming model to obtain a day-ahead scheduling scheme of the electricity-gas joint market, and calculating nodemarginal electricity price and node marginal gas price. According to the method, the influence of complex operation characteristics of natural gas systems such as nonlinear pipe storage on centralizedclearing of the electricity-gas joint market is considered, and optimal scheduling and market clearing of the electricity-gas interconnection system on the day-ahead level are achieved.

Description

technical field [0001] The invention relates to a centralized clearing method for an electric-gas joint market, in particular to a centralized clearing method for an electric-gas joint market based on sequential linear programming. Background technique [0002] The energy crisis, climate warming and environmental degradation are becoming more and more serious. In order to further promote the large-scale utilization of new energy and improve the efficiency of comprehensive energy utilization, a new energy utilization system "Energy Internet" was born. The Energy Internet is an integrated energy system that uses various energy networks such as electricity, gas, and heat as the carrier, and is characterized by the deep integration of energy technology and information technology to achieve mutual complementarity and efficient utilization of energy. A major feature of the Energy Internet is the comprehensive utilization of multiple types of energy, but different types of energy h...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/06
CPCG06Q10/06312G06Q50/06
Inventor 别朝红刘凡王旭寇宇马晓伟陈天恩
Owner XI AN JIAOTONG UNIV
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