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Robust optimization scheduling method for regional integrated energy system

An integrated energy system and optimal scheduling technology, applied in the field of robust optimal scheduling of regional integrated energy systems, can solve problems such as load loss and fitting errors, reduce risks, improve heating reliability, and improve system operation robustness Effect

Pending Publication Date: 2021-12-14
CHANGSHA UNIVERSITY OF SCIENCE AND TECHNOLOGY
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The function describing the equipment efficiency PLP is usually obtained by fitting the experimental data or the test data provided by the manufacturer, and the data fitting leads to the objective existence of fitting errors
In the prior art, linear functions and power functions are often used to fit the relationship between the heat-to-electricity ratio of gas-fired combined heat and power (CHP) units and the electrical load rate, or linear and quadratic functions are used to fit the coefficient of performance (coefficient) of chillers. ofperformance, COP) involves taking into account the fitting error of the PLP function, while ignoring this error may lead to load loss

Method used

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  • Robust optimization scheduling method for regional integrated energy system
  • Robust optimization scheduling method for regional integrated energy system
  • Robust optimization scheduling method for regional integrated energy system

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Experimental program
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Effect test

Embodiment 1

[0054] 1. Establishment of part load performance function of each energy conversion equipment efficiency

[0055] 1.1 Regional integrated energy system (regional integrated energy system, RIES) framework diagram:

[0056] Coupling regional power grids and heating networks together to achieve multi-energy complementarity and improve energy utilization. The RIES in this embodiment mainly includes energy conversion equipment such as CHP and GB, and energy storage equipment such as batteries and hot water storage tanks. The specific framework is as follows figure 1 shown.

[0057]1.2 PLP function of energy conversion equipment efficiency

[0058] Considering that in actual operation, each energy conversion equipment usually operates under partial load conditions, so the PLP of each energy conversion equipment is calculated, and the calculation formula is:

[0059]

[0060] In the formula: is the equipment efficiency; N is the equipment load rate, that is, the ratio of the ...

Embodiment 2

[0138] Taking a typical RIES as an example, this region uses electricity and natural gas as energy input, and simultaneously supplies electricity and heat loads through energy conversion equipment and transmission networks. The predicted electricity load, heat load and time-of-use electricity price in a certain day in the region are shown in image 3 and Figure 4 . Natural gas price 2 yuan / m 3 , P ELE,max Taking 1MW, the detailed parameters of each equipment in RIES and the fitting parameters of equipment efficiency PLP function are shown in Table 1 and Table 2 respectively. For the piecewise linear representation of the fitting function, considering the balance between linear approximation accuracy and computational efficiency, the number of sections d is generally between 30 and 70, so d=50 is taken.

[0139] Set uncertain parameters When r=0, the RIES scheduling problem is a deterministic optimization problem, that is, the fitting error of the equipment PLP function ...

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Abstract

The invention discloses a robust optimization scheduling method for a regional integrated energy system, and belongs to the related technical field of regional integrated energy system scheduling, and the method comprises the specific steps: constructing a partial load performance function of the efficiency of each energy conversion device; constructing a regional comprehensive energy system model; constructing constraint conditions of the regional integrated energy system; constructing an optimal scheduling model; constructing a robust optimization scheduling model, and solving the robust optimization scheduling model to obtain an optimal scheduling scheme of the regional integrated energy system; and performing optimal scheduling on the regional integrated energy system according to the optimal scheduling scheme. According to the method, the box type uncertain set is adopted to effectively describe the fitting error and the range of the partial load performance function of the equipment, the the fitting error and the range of the partial load performance function of the equipment are applied to the optimization model, the system scheduling scheme is changed, the system operation robustness is improved, and the heat supply reliability is improved.

Description

technical field [0001] The invention relates to the technical field of dispatching of regional comprehensive energy systems, and more specifically relates to a method for robust optimal dispatching of regional comprehensive energy systems. Background technique [0002] The regional integrated energy system (RIES) is one of the important physical carriers of the Energy Internet and an important way to realize multi-energy complementarity and efficient energy utilization. In actual operation, the efficiency of energy conversion equipment such as gas turbines and gas boilers (GB) has obvious part load performance (PLP), that is, when the equipment is not operating under rated conditions, its efficiency changes with the load rate. The efficiency of most energy conversion equipment decreases as the load rate decreases. For example, the power generation efficiency of a gas turbine at a low electrical load rate is only 80% or even lower than that of full-load operation. After cons...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q10/04G06Q50/06G06F17/18
CPCG06Q10/06312G06Q50/06G06Q10/04G06F17/18
Inventor 黄婧杰刘科明刘海军袁亮
Owner CHANGSHA UNIVERSITY OF SCIENCE AND TECHNOLOGY
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