A home energy local area network energy optimization control method considering demand side management
A demand-side management and energy optimization technology, applied in computing, data processing applications, forecasting, etc., can solve problems such as inability to meet the flexibility of power grid dispatching and increase the difficulty of system energy control
Active Publication Date: 2019-11-05
ZHEJIANG UNIV OF TECH
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However, renewable energy sources such as wind and light have strong uncertainty and intermittency, which cannot meet the flexibility of grid dispatching. On the other hand, the large-scale access of energy storage systems and electric vehicles (plug-inelectric vehicles, PEVs), Greatly increases the energy control difficulty of the system
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[0076] The content described in the embodiments of this specification is only an enumeration of the implementation forms of the inventive concept. The protection scope of the present invention should not be regarded as limited to the specific forms stated in the embodiments. The protection scope of the present invention also includes those skilled in the art. Equivalent technical means conceivable according to the concept of the present invention.
[0077] refer to Figure 1 to Figure 7 , a household energy local area network energy optimization control method considering demand side management, the method includes the following steps:
[0078] S1: Input the user's power consumption status and demand information, the process is as follows:
[0079] Discretize the continuous 24h time of a day, and divide it into K time periods. For any kth time period, there is k∈{1,2,...,K}, and the duration of the kth time period is Δt; when the new At the beginning of the scheduling period...
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The invention discloses a residential energy local network (RELN) energy optimization control method under the consideration of demand side management. The method comprises the following steps: S1, inputting an electricity utilization state and demand information of a user; S2, forecasting a regenerable energy output; S3, recording state information of an energy storage system in an RELN; S4, dynamically optimizing the energy of the RELN; S5, in the current time period, performing specific electricity utilization, idling or discharge operation on all family electrical appliances, PEVs (plug-in electric vehicles) and the energy storage system according to an electricity utilization scheme obtained in the step S4, transmitting scheduling information by adopting an AMI (advanced measurement infrastructure); S6, receiving and updating operation time and energy consumption of residential loads as well as state of charge information of the PEVs and the energy storage system by a RELN energy management center via the AMI; S7, repeating the steps S1 to S6 until the optimization range is ended. According to the RELN energy optimization control method under the consideration of demand side management, dispatching decisions are made for all the residential electrical appliances, the PEVs and the energy storage system based on the target that the operation cost of the RELN is minimized, so that energy optimization control over the RELN is realized.
Description
technical field [0001] The invention belongs to the technical field of energy optimization management, and in particular relates to an energy optimization control method of a home energy local area network considering demand side management. Background technique [0002] The intensification of the global energy crisis has promoted the continuous progress and integration of renewable energy and information technology, and promoted the rapid development of the entire energy industry to a certain extent. However, renewable energy sources such as wind and light have strong uncertainty and intermittency, which cannot meet the flexibility of grid dispatching. On the other hand, the large-scale access of energy storage systems and electric vehicles (plug-inelectric vehicles, PEVs), It greatly increases the difficulty of energy control of the system. Therefore, American scholar Jeremy Rifkin first proposed the concept of Energy Internet based on the concept of Internet development....
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IPC IPC(8): G06Q10/04G06Q50/06
CPCG06Q10/04G06Q50/06
Inventor 张有兵杨晓东任帅杰杨捷伦翁国庆戚军周文委
Owner ZHEJIANG UNIV OF TECH