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Robust optimal energy management strategy based on response data

A technology of energy management and response data, which is applied in the direction of AC network with energy trade/energy transmission authority, energy storage, AC network load balancing, etc., and can solve the problems of randomness and volatility of renewable energy generation that are difficult to accurately predict, To achieve the effect of suppressing uncertainty and volatility

Pending Publication Date: 2020-07-31
CHINA ELECTRIC POWER RES INST
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Problems solved by technology

Due to the randomness and volatility of renewable energy power generation, it is difficult to predict accurately, which leads to great challenges for the stable and economic operation of the power grid under the access of new energy.
In the case of uncertainty in new energy power generation, due to the deviation between the predicted value and the actual value of the power generation, the traditional deterministic optimization algorithm will no longer be applicable

Method used

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  • Robust optimal energy management strategy based on response data
  • Robust optimal energy management strategy based on response data
  • Robust optimal energy management strategy based on response data

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Embodiment Construction

[0061] The technical solution of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0062] A robust optimal energy management strategy based on response data, including the following steps:

[0063] Step 1. Establish the energy management model of the photovoltaic grid-connected power generation system. The energy management model includes optimization objectives and constraints.

[0064]The principle of photovoltaic power generation is to convert solar energy directly into electricity. The power output of photovoltaic modules is usually adjusted to the standard test conditions, the solar radiation intensity reaches 100W / m2, and the battery output is 25°C, as shown in the following formula:

[0065]

[0066] In the formula, P PV (t) is the actual output of photovoltaic output at time t, G ING (t) is the actual radiation intensity at time t, STC is the standard test condition, where G STC is the solar radiatio...

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Abstract

The invention discloses a robust optimal energy management strategy based on response data, and belongs to the technical field of electric power system automation. According to the invention, a robustenergy management strategy of a power grid with photovoltaic uncertainty is researched; a stable operation optimization function with minimized power grid cost is established; in order to eliminate the influence of photovoltaic uncertainty, an optimization problem with uncertainty constraints is converted into a new optimization problem only with determinacy constraints by utilizing a box-type theory, and the new converted optimization problem is solved by utilizing a particle swarm optimization (PSO) method; and the established model can enable an operation scheme to have good robustness when processing various photovoltaic output curves in practical application.

Description

technical field [0001] The invention belongs to the technical field of power system automation, and in particular relates to a robust optimal energy management strategy based on response data. Background technique [0002] Due to the increasing shortage of fossil energy and the deterioration of the environment caused by fossil energy, countries all over the world are committed to the development and utilization of renewable energy, and through relevant policy support, they have vigorously promoted the rapid development of new energy power generation technologies. Due to the randomness and volatility of renewable energy power generation, it is difficult to predict accurately, which leads to great challenges in the stable and economic operation of the power grid under the access of new energy. In the case of uncertainty in new energy power generation, due to the deviation between the predicted value and the actual value of power generation, the traditional deterministic optimi...

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Application Information

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IPC IPC(8): H02J3/38H02J3/32H02J3/00
CPCH02J3/008H02J3/32Y02E10/56Y02E70/30
Inventor 孙华东徐式蕴赵兵吕晨郭强毕经天吴萍
Owner CHINA ELECTRIC POWER RES INST