Universal station mixed integer piecewise nonlinear optimization method and device

Abstract

The invention relates to a universal station mixed integer piecewise nonlinear optimization method and device. The method comprises the following steps: abstracting a universal station, and describingthe energy consumption condition of each device in detail; establishing an energy efficiency model based on linearized model conversion of a special ordered set constraint; and solving the model to meet the power and heat requirements under the supply and demand balance and operation constraint conditions of the universal station. Coupling constraints of start-stop variables and state variables of all equipment of the universal energy station in all time periods are fully considered, the electricity and heat requirements of the universal energy station under the supply and demand balance andoperation constraint conditions are met, and energy consumption optimization is achieved.

Description

technical field [0001] The invention relates to the field of energy technology, in particular to a mixed integer segmented nonlinear optimization method and device for a universal energy station. 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. ENN tailor-made according to customer needs, using the coupling mechanism of different forms of energy such as electricity, gas, cold, heat, etc. in space and time, to achieve multi-energy complementarity, such an efficient distributed energy system, ENN Group calls it pan-...

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Problems solved by technology

[0005] 1. The input and output energy between energy units are coupled and affect each other;

[0006] 2. Since the total operating cost of the system includes operating cost, start-up cost and shutdown cost, 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;

[0007] 3. The mathematical relationship between conversion efficiency and load rate is piecewise linear, which leads to the optimization model of the multi-energy station as a mixed integer piecewise nonlinear problem

[0008] In the literature "Comprehensive Energy Collaborative Optimization Considering System Coupling" Aiming at the problem of solving difficulties caused by energy coupling during optimization, a Lagrangian relaxation method is proposed to solve the multi-coupling comprehensive energy collaborative optimization problem, but it does not consider Start-stop variables for energy units

The literature "Research on Optimal Scheduling Theory of Multi-energy Hybrid Network" studies the power flow optimization problem of a hybrid network including natural gas and electric power. It uses the particle swarm optimization algorithm provided by the MATLAB toolbox to solve it, but the solution method based on the MATLAB toolbox cannot be realized. The project landing of the multi-purpose energy station project

In the existing technology, the coupling constraints of the start-stop variables and state variables of the equipment at each time period are insufficiently considered or even not considered; most of them stay in theoretical research, and lack of consideration for the practical aspects of engineering projects

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