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Day-ahead rolling optimization method for comprehensive energy system

A comprehensive energy system, rolling optimization technology, applied in system integration technology, information technology support system, resources, etc., can solve problems such as low settlement efficiency and unreasonable calculation methods, and achieve computational science, fast efficiency, and high user comfort. Effect

Active Publication Date: 2020-04-10
GUIZHOU POWER GRID CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] The existing day-ahead power calculation meth

Method used

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  • Day-ahead rolling optimization method for comprehensive energy system
  • Day-ahead rolling optimization method for comprehensive energy system
  • Day-ahead rolling optimization method for comprehensive energy system

Examples

Experimental program
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Effect test

Embodiment 1

[0111] Embodiment 1: A day-ahead rolling optimization method for an integrated energy system, the method includes the following steps:

[0112] (1) Obtain the energy demand of electric load, cooling load and heating load;

[0113] (2) Obtain real-time electricity prices, on-grid electricity prices, and natural gas prices;

[0114] (3) Determination of user energy consumption plan, distributed power output and user load forecasting;

[0115] (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;

[0116] (5) Determine the weight of each objective function according to user preference;

[0117] (6) Fuse each objective function into a single objective function, and the single objective function after fusion is:

[0118] 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)

[0119] In the formula

[0120] lambda 1 ,λ 2 ...

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Abstract

The invention discloses a day-ahead rolling optimization method for a comprehensive energy system. The method comprises the following steps: (1) acquiring energy consumption requirements of an electric load, a cold load and a heat load; (2) acquiring a real-time electricity price, a grid-connected electricity price and a natural gas price; (3) determining a user energy consumption plan, and predicting distributed power supply output and a user load; (4) calculating the total operation cost of a user in one day, non-renewable energy consumption, carbon emission reduction and a user comfort index according to a multi-objective optimization index; (5) determining the weight of each target function according to user preferences; (6) fusing target functions into a single target function; and (7) solving through a branch and bound method to obtain an optimal energy consumption plan of the user on the same day. According to the invention, the multi-objective optimization problem of economy, environmental protection, energy conservation and comfort is considered, the MIQP solving algorithm based on a B&B algorithm and a Zoutendijk feasible direction method is adopted to solve the problem,the energy flow of a user side can be optimized according to the user preferences, and the comprehensive benefits of economy, energy conservation, environmental protection and high user comfort are achieved.

Description

technical field [0001] The invention relates to a day-ahead rolling optimization method for an integrated energy system, belonging 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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IPC IPC(8): G06Q10/04G06Q10/06G06Q50/06G06F17/11
CPCG06Q10/04G06Q10/06315G06Q50/06G06F17/11Y04S10/50Y02E40/70
Inventor 李庆生唐学用孙斌黄玉辉钟以林邓朴赵庆明高华张裕何向刚张彦刘影罗文雲
Owner GUIZHOU POWER GRID CO LTD
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