Linearization method and device for achieving universal station optimization based on SOS-2 constraint

Abstract

The invention provides a linearization method and device for achieving universal station optimization based on SOS-2 constraints. The method comprises the following steps: firstly, performing energy efficiency modeling on a universal energy station, approximating MIPNLP segments obtained after modeling as a mixed integer piecewise linear programming MIPLP problem, then equivalently converting theMIPLP into the mixed integer piecewise linear programming MIPLP problem based on SOS-2 constraints, and finally, performing modeling solution based on PuLp. According to the method, coupling constraints of start-stop variables and state variables of universal station equipment in each time period are considered in optimization design of the universal station. The method can analyze the operation condition of the universal station more accurately and more practically, and can be practically applied to the engineering project of the universal station on the basis of theoretical analysis, so thatproject landing of the engineering project of the universal station is realized.

Description

technical field [0001] The invention relates to the field of optimization design, in particular to a linearization method and device for realizing optimization of a multi-purpose energy station based on SOS-2 constraints. Background technique [0002] In recent years, my country has made great efforts to promote energy conservation and emission reduction and efficient use of clean energy technologies, and has promised to increase the share of renewable energy use to 15% by 2020. Supplementing the previous single coupling method with diversified technical means, multi-interactive comprehensive energy development and utilization has become an important measure for my country to reduce fossil energy consumption and control emissions. Among them, the universal energy station has become one of the important research directions of the comprehensive energy system due to its advantages of high energy efficiency and good environmental benefits. The above coupling mechanism realizes ...

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Problems solved by technology

[0005] Although the co-existing integration of electricity, heat, and gas energy coupling is conducive to the multi-energy complementarity and synergistic benefits of the system, it also brings difficulties to the comprehensive energy optimization solution. The solution difficulties caused by multi-energy coupling are mainly concentrated in the following two aspects: Aspects: (1) The input and output energy between energy units are coupled and interact with each other; (2) Since the total operating cost of the system includes operating cost, start-up cost and shutdown cost, the energy equipment has start-up and stop variables (0-1 Integer variables) and equipment operating state variables, and there is a coupling relationship between the variables; (3) The mathematical relationship between the conversion efficiency and the load rate is piecewise linear, which leads to the optimization model of the universal energy station as a mixed integer piecewise nonlinear problem

Based on this, in the existing technology, the document "Comprehensive Energy Collaborative Optimization Considering System Coupling" (Song Chenhui et al., Power System Automation, No. 10, 2018) aims at solving the difficult problems caused by energy coupling during optimization. A multi-coupling comprehensive energy collaborative optimization problem based on Lagrangian relaxation method, but it does not consider the start-stop variable of the energy unit; the literature "Research on Optimal Scheduling Theory of Multi-energy Hybrid Network" (Ge Dandan et al., Smart Grid , Vol. 7 No. 3) studied the power flow optimization problem of a hybrid network including natural gas and electric power, which was solved using the particle swarm optimization algorithm provided by the MATLAB toolbox, but the solution method based on the MATLAB toolbox cannot realize the universal energy station Project landing

[0006] Therefore, generally speaking, the optimization process of the ubiquitous energy station in the prior art mainly has the following two disadvantages: ① the existing technology does not consider enough or even considers the coupling constraints of the start-stop variables and state variables of the equipment at each time period; ② the existing Most of the technology stays in theoretical research, and lacks consideration for the practical application of engineering projects

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