Load demand response-based grid-connected micro power grid reliability assessment method

A technology of load demand and micro-grid, applied in AC network circuits, load forecasting and calculation in AC network, etc., can solve the problems of less research on reliability impact, and achieve the effect of comprehensive consideration of factors

Inactive Publication Date: 2017-04-19
CHONGQING UNIV
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Problems solved by technology

However, the proposed reliability evaluation algorithm mostly studies the influence of microgrid grid structure and new energy on the reliability of m

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  • Load demand response-based grid-connected micro power grid reliability assessment method
  • Load demand response-based grid-connected micro power grid reliability assessment method
  • Load demand response-based grid-connected micro power grid reliability assessment method

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Embodiment Construction

[0052] The present invention will be further described in detail below in conjunction with specific embodiments.

[0053] A grid-connected microgrid reliability evaluation method considering load demand response, which includes the following steps:

[0054] S1. Confirm the annual output curve of the micro-power supply in the micro-grid;

[0055] S2. Formulate time-of-use electricity prices in the microgrid island, and establish a response electricity price model for microgrid users;

[0056] S3. According to the micro-grid micro-power output and load power, confirm the micro-grid new energy to load satisfaction index ML s ;

[0057] S4. Establish a load demand response model based on the four constraints of load electricity, electricity price, power, and user satisfaction after changing their consumption habits. The objective function is min(1-ML S ), the variable is the variation Δp of the electricity price in each period, and the particle swarm optimization algorithm is u...

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Abstract

The invention discloses a load demand response-based grid-connected micro power grid reliability assessment method comprising the following steps: an annual output curve of a micro power source in a micro power grid is determined; time-of-use electricity prices are made in a micro power grid island, and a response electricity price model for micro power grid users is built; a load satisfaction index MLs of new energy of the micro power grid can be determined according to output of the micro power source of the micro power grid and load power; a load demand response model is built based on four constraining factors that are electricity quantities of loads, electricity prices, power and user satisfaction over consumption habit change; an object function is min(1-MLS), a variable is a variable quantity [delta]p of electricity price at each time segment, a particle swarm algorithm is used for solving the load demand response model, a corrected load curve is obtained, and corrected load curve-based grid-connected micro power grid reliability can be determined based on a combined output mode of a micro power grid rack structure, energy storage equipment and a distributed power source. The grid-connected micro power grid reliability assessment method can help overcome defects of a conventional micro power grid reliability assessment algorithm and is suitable for micro power grid reliability assessment under load demand response strategies.

Description

technical field [0001] The invention relates to a power system reliability evaluation method, in particular to a grid-connected micro-grid reliability evaluation method considering load demand response, and belongs to the technical field of electrical engineering. Background technique [0002] In the late 20th century, with the emergence of the energy crisis, people paid more and more attention to renewable energy. Distributed power generation in microgrid is an effective way for renewable energy to connect to the grid, but the intermittent and randomness of renewable energy output increases the difficulty of microgrid control. The dispatching method of the traditional power system only considers the impact of the power supply side on the system, but the demand response strategy based on user consumer psychology enables the grid manager to optimize the operation of the power system from the user side. The integration of renewable energy in microgrids and the implementation ...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q50/06H02J3/38
CPCG06Q10/06393G06Q50/06H02J3/003H02J3/38H02J3/383H02J2203/20Y02E10/56
Inventor 胡博谢开贵陈子元李昌林徐星旻姚森李江山
Owner CHONGQING UNIV
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