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Day-ahead scheduling decision-making method considering source-load uncertainty under limited energy storage

A technology of uncertainty and decision-making method, applied in the field of low-carbon economic dispatch of power system, day-ahead dispatch decision-making, and can solve problems such as less attention

Inactive Publication Date: 2021-03-16
ELECTRIC POWER SCI & RES INST OF STATE GRID TIANJIN ELECTRIC POWER CO +2
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Problems solved by technology

[0004] The research in the above literature mainly focuses on considering the impact of volatility and intermittency of large-scale renewable energy generation on power dispatching, but less attention is paid to the uncertainty of demand response on the user side and the joint dispatching of multiple energy sources

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  • Day-ahead scheduling decision-making method considering source-load uncertainty under limited energy storage
  • Day-ahead scheduling decision-making method considering source-load uncertainty under limited energy storage
  • Day-ahead scheduling decision-making method considering source-load uncertainty under limited energy storage

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Embodiment Construction

[0111] The present invention will be described in further detail below in conjunction with the drawings and specific examples. The following examples are only descriptive, not restrictive, and cannot limit the protection scope of the present invention.

[0112] A day-ahead scheduling decision-making method considering source-load uncertainty under limited energy storage, see Figure 1-4 , the invention point is that the method comprises the following steps:

[0113] Step 1: According to the user's load characteristics, establish a system load uncertainty model considering demand side management; specifically include the following steps:

[0114] Step 1.1: Collect the dispatchable electricity price demand response in a certain area into a virtual unit for scheduling, and establish the uncertainty model of electricity price demand response virtual response unit based on the electricity price elasticity coefficient, specifically:

[0115] Electricity-price-based demand response ...

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Abstract

The invention relates to a day-ahead scheduling decision-making method considering source load uncertainty under limited energy storage, and the method comprises the steps: 1, building a system load uncertainty model considering demand side management according to the load characteristics of a user; 2, predicting next-day data according to historical data and a system load uncertainty model basedon electricity price, wherein the next-day data comprises wind speed, wind power plant output, outdoor temperature, photovoltaic power station output, system load and electricity price fluctuation; 3,establishing a day-ahead low-carbon economic dispatching model by taking low-carbon economy as a target and considering a deep peak regulation working condition and a normal operation working condition of the thermal power generating unit; and 4, carrying out random sampling by using a Monte Carlo method. A day-ahead low-carbon economic dispatching model is solved based on an improved bat algorithm, and the unit output, the electricity price of each time period and the price type demand response quantity are determined. According to the method, the low-carbon economic dispatch of the power system is realized, the local optimum under the high-dimensional condition is avoided, and the globally optimal solution is quickly obtained.

Description

technical field [0001] The invention belongs to the technical field of electric power systems and automation thereof, relates to low-carbon economic dispatching of electric power systems, and specifically relates to a day-ahead dispatching decision-making method considering source-load uncertainty under limited energy storage. Background technique [0002] At this stage, with the vigorous promotion of the construction of the strong smart grid and the ubiquitous power Internet of Things, a high proportion of renewable energy is connected to the grid, and artificial intelligence, sensors, and advanced communication technologies obtain comprehensive new energy, energy storage and load. The data is applied to the optimal dispatching of the power system. At the same time, the impact of the global greenhouse effect on the ecosystem is increasing, and CO2 emission reduction in the power industry plays a key role in reducing greenhouse gas emissions. Under the strategy of "three ty...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q30/02G06Q50/06G06N3/00G06N7/02
CPCG06Q10/04G06Q30/0201G06Q30/0206G06Q50/06G06N3/006G06N7/02Y04S10/50Y04S50/14Y02E40/70
Inventor 李树鹏李国栋霍现旭尚学军李振斌郑骁麟吴磊余庆红孔祥玉吴彬全淑萍于光耀邢楠楠陈培育于天一王峥马世乾刘亚丽刘云崇志强
Owner ELECTRIC POWER SCI & RES INST OF STATE GRID TIANJIN ELECTRIC POWER CO
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