Day-to-day rolling optimization method for comprehensive energy system

A comprehensive energy system and rolling optimization technology, applied in the direction of instruments, data processing applications, forecasting, etc., can solve problems such as low settlement efficiency and unreasonable calculation methods for daily and Chinese electricity, and achieve scientific calculation, fast efficiency, and high user comfort Effect

Active Publication Date: 2020-04-21
GUIZHOU POWER GRID CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The existing day-to-day electricity calculation method is unreasonable and the settlement efficiency is low

Method used

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  • Day-to-day rolling optimization method for comprehensive energy system
  • Day-to-day rolling optimization method for comprehensive energy system
  • Day-to-day rolling optimization method for comprehensive energy system

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Embodiment 1

[0101] Embodiment 1: A method for mid-day rolling optimization of an integrated energy system, the method comprising the following steps:

[0102] (1) Obtain the energy demand of electric load, cooling load and heating load;

[0103] (2) Obtain real-time electricity prices, on-grid electricity prices, and natural gas prices;

[0104] (3) Determination of user energy consumption plan, distributed power output and user load forecasting;

[0105] (4) Calculate the user's total operating cost, non-renewable energy consumption, carbon emission reduction, and user comfort index for one day according to the multi-objective optimization index;

[0106] (5) Determine the weight of each objective function according to user preference;

[0107] (6) Fuse each objective function into a single objective function, and the single objective function after fusion is:

[0108] min g=λ 1 f 1 +λ 2 φ c f 2 +λ 3 φ e f 3 -λ 4 φ u f 4 (1)

[0109] In the formula

[0110] lambda 1 ,λ ...

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Abstract

The invention discloses a day-to-day rolling optimization method for a comprehensive energy system. The method comprises the following steps: considering that a user can adjust an energy demand on thesame day, shortening an optimization time domain to [t, t + H), and because an indoor temperature, a hot water temperature, an energy storage electric quantity and an electric vehicle electric quantity have a time accumulation effect, obtaining a current state set of a system before optimization, and calculating a target function; calculating a time domain [t, t]; t + H), the output magnitude ofthe cooling, heating and power load equipment and an equipment operation state optimization control target value; only the optimal control target value Ct of the time period t is taken as the equipment control set value of the time period t, in the next time period t + 1, Ct + 1 is recalculated in the time domain [t + 1, t + 1 + H), the process is repeated, and the whole optimization interval rolls forwards along with time; according to the electricity price day-to-day rolling optimization method, the energy flow of the user side can be optimized according to user preferences, comprehensive benefits of economy, energy conservation, environmental protection and high user comfort are achieved, calculation is more scientific, and efficiency is higher.

Description

technical field [0001] The invention relates to a daily rolling optimization method for an integrated energy system, which belongs to the technical field of integrated energy systems. Background technique [0002] The comprehensive energy system integrates different types of energy such as electricity, heat, cold, and gas, and provides the possibility to realize the optimal and complementary operation of multiple energy sources. Using Internet technology, multiple energy sources based on electric power resources are interconnected to realize horizontal multi-energy complementarity and vertical demand response joint optimization in the comprehensive energy system, enabling two-way interaction between energy production and consumption. Realizing energy collaborative optimization from both the source end and the load end, and the best matching of flexible loads have important practical significance for the user's energy economy and the stable and optimized operation of the enti...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/06
CPCG06Q10/04G06Q50/06
Inventor 李庆生刘振铭唐学用赵庆明黄玉辉何向刚张裕刘金森邓朴卢嗣斌陈巨龙蒋泽甫王斌
Owner GUIZHOU POWER GRID CO LTD
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