Optimal allocation method of community microgrid energy storage capacity considering temperature control equipment

Abstract

The present invention discloses a community micro-grid energy storage capacity optimization and configuration method considering a temperature control device. The method comprises a first step of collecting statistics about an annual load of a community level micro-grid, air speed data, environment and temperature data and parameters of all micro power supplies, and calculating an output power of a wind turbine; a second step of making a running policy of a community level single micro-grid to increase new energy consumption; a third step of establishing, based on the running policy, a community level micro-grid energy storage capacity optimization and configuration model including the temperature control device; and a fourth step of according to the data of the first step, using a genetic algorithm to resolve the optimization and configuration model. The method has the beneficial effects that the established model is more comprehensive, the considered factors are more consistent with demands of the actual micro-grid plane including the temperature control device, the algorithm is simple and can be learned and used by engineering staff easily, and the method is universal and can be widely used in temperature control device included micro-grid energy storage device capacity plane and analysis.

Description

technical field

[0001] The invention relates to the field of power system planning, in particular to a community micro-grid energy storage capacity optimization configuration method considering temperature control equipment. Background technique

[0002] With the adjustment of energy structure, in order to fully develop and utilize renewable energy and improve the clean level of terminal energy consumption, microgrids have emerged as the times require. The microgrid contains various distributed power sources, loads, energy storage equipment and control equipment. Due to the intermittent, uncertain and random characteristics of renewable energy such as wind turbines and photovoltaics, with the increasing penetration of new energy, the consumption of new energy and the suppression of power fluctuations have become research hotspots. With its fast response and strong controllability, energy storage equipment has become an effective means of absorbing new energy and suppressing...

Examples

Embodiment Construction

[0092] The specific implementation manner and working principle of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0093] From figure 1 It can be seen that a community microgrid energy storage capacity optimization configuration method considering temperature control equipment includes the following steps:

[0094] S1: Statistics of community-level microgrid annual load, wind speed data and ambient temperature data, and calculation of output power of wind turbines;

[0095] Among them, the specific content of calculating the output power of the wind turbine is as follows:

[0096] Wind turbine output power P t w with wind speed v t The relationship between can be approximately described as a piecewise function:

[0097]

[0098] In the formula, v ci is the cut-in wind speed, v co is the cut-out wind speed, v r is the rated wind speed, P r w is the rated output power of the wind turbine. When the win...

technical field

[0001] The invention relates to the field of power system planning, in particular to a community micro-grid energy storage capacity optimization configuration method considering temperature control equipment. Background technique

[0002] With the adjustment of energy structure, in order to fully develop and utilize renewable energy and improve the clean level of terminal energy consumption, microgrids have emerged as the times require. The microgrid contains various distributed power sources, loads, energy storage equipment and control equipment. Due to the intermittent, uncertain and random characteristics of renewable energy such as wind turbines and photovoltaics, with the increasing penetration of new energy, the consumption of new energy and the suppression of power fluctuations have become research hotspots. With its fast response and strong controllability, energy storage equipment has become an effective means of absorbing new energy and suppressing...

Examples

Embodiment Construction

[0092] The specific implementation manner and working principle of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0093] From figure 1 It can be seen that a community microgrid energy storage capacity optimization configuration method considering temperature control equipment includes the following steps:

[0094] S1: Statistics of community-level microgrid annual load, wind speed data and ambient temperature data, and calculation of output power of wind turbines;

[0095] Among them, the specific content of calculating the output power of the wind turbine is as follows:

[0096] Wind turbine output power P t w with wind speed v t The relationship between can be approximately described as a piecewise function:

[0097]

[0098] In the formula, v ci is the cut-in wind speed, v co is the cut-out wind speed, v r is the rated wind speed, P r w is the rated output power of the wind turbine. When the win...

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