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Regret avoidance-based user-level comprehensive energy system optimization method

A technology that integrates energy systems and optimization methods, applied in the field of energy system optimization, can solve problems affecting system operating costs, deviations between planning schemes and economic optimal schemes, etc., and achieve the effect of improving results, accuracy and rationality

Pending Publication Date: 2021-02-26
WENZHOU ELECTRIC POWER BUREAU +1
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Problems solved by technology

[0004] Aiming at the problem that the price change of natural gas at the energy supply end of the user-side integrated energy system affects the system operating cost, resulting in deviations between the planning scheme and the economically optimal scheme, the present invention adopts the regret avoidance method to optimize the traditional system with the goal of optimizing the expected cost of the system The extended planning model of

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  • Regret avoidance-based user-level comprehensive energy system optimization method
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  • Regret avoidance-based user-level comprehensive energy system optimization method

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Embodiment Construction

[0102] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0103]The present invention plans and solves the user-level comprehensive energy system, and the implementation method flow is as follows figure 1 shown. The specific description is as follows:

[0104] Step 1: Use the method of stage scenario tree to deal with the uncertain factors of natural gas price, and set the planning scenario.

[0105] The user-level integrated energy system needs to purchase energy from external systems to meet the supply and demand balance of various energy sources within the system. At present, the overall price of electricity in my country does not change much, while the price of natural gas and steam heat energy has relatively large uncertainties in the space-time dimension, which is mainly affected by factors such as international trade and domestic supply and demand. The present invention adopts the stage scene tree method t...

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Abstract

The invention relates to a regret avoidance-based user-level comprehensive energy system optimization method. According to the method, a regret avoidance method is adopted to optimize a traditional extended planning model taking optimal system expected cost as a target. A natural gas price change scene of a user-level comprehensive energy system and operation characteristics of energy coupling equipment and energy storage equipment in the natural gas price change scene are deeply analyzed; based on a system comprehensive total cost net present value in a planning period, an extended planning model taking minimum system comprehensive regret value as an objective function and taking system operation and equipment output characteristics as constraint conditions is constructed, the uncertaintyof natural gas price is fully considered by the model, the obtained planning result is the optimal construction scheme of the system; and compared with a traditional method, the method has the advantages that the result, accuracy and rationality are improved.

Description

technical field [0001] The invention relates to the field of comprehensive energy system planning, in particular to an energy system optimization method. Background technique [0002] The user-level comprehensive energy system is an intensive area of ​​energy consumption, mainly including specific forms such as parks, commercial areas, residential communities, hospitals, and universities, and has a large demand for electricity, gas, cold, heat, coal, crude oil, etc. and reliable energy supply The characteristics of high performance requirements are the specific manifestations of the construction and implementation of comprehensive energy systems. At present, the dispatching and control of various energy systems on the user side belong to different departments, and the planning, construction, operation, and maintenance of the internal equipment of the energy system are carried out independently, which leads to the low energy utilization rate and low investment in the energy s...

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Application Information

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IPC IPC(8): G06F30/20G06Q10/04G06Q10/06G06Q50/06G06F111/10G06F119/06G06F119/08
CPCG06F30/20G06Q10/04G06Q10/06313G06Q50/06G06F2111/10G06F2119/08G06F2119/06
Inventor 赵璞林群高建宇潘乐真郑思源姬旭东李大任朱海立谢浩铠刘文琳
Owner WENZHOU ELECTRIC POWER BUREAU
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