Community energy network reconstruction and self-healing method based on optical storage unified allocation algorithm

A technology of network reconfiguration and optical storage, applied in resources, computing, information technology support systems, etc., can solve problems such as large equipment change rates, improve self-healing ability, and realize the effect of system self-healing

CN106447179AActive Publication Date: 2017-02-22STATE GRID TIANJIN ELECTRIC POWER +2
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Publication Date
2017-02-22

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Abstract

The invention relates to a community energy network reconstruction and self-healing method based on an optical storage unified allocation algorithm. The method is technologically characterized by comprising the following steps of a first step, monitoring and acquiring operation state and electrical data of optical storage equipment based on a D5000 platform energy management system; a second step, according to the operation state and electrical data of the optical storage equipment acquired in the first step, determining a fault eliminating strategy and an equipment input strategy of the current community energy network and furthermore performing regrouping allocation on an optical storage equipment sequence after equipment state change, and dividing an allocation interval; and a third step, re-defining a photovoltaic power generation unit and an energy storage unit power instruction value controllable range of the allocation algorithm according to the allocation interval which is re-divided in the second step, thereby realizing allocation algorithm reconstruction of the photovoltaic power generation unit and an energy storage power generation unit, and further realizing community energy network power balance again. The community energy network reconstruction and self-healing method improves self-healing capability of the community energy network through controlling a sequence adaptive adjusting technique and an allocation algorithm adaptive reconstruction strategy.
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Description

technical field

[0001] The invention belongs to the technical field of power system energy dispatching, and relates to the energy dispatching of electric power systems in which the state of power equipment is uncertain and different network states coexist, in particular, a community energy network reconfiguration and self-healing method based on an optical-storage unified deployment algorithm. Background technique

[0002] In recent years, the depletion of traditional energy and the huge pollution caused by the use of traditional energy have made improving energy utilization efficiency and strengthening the use of renewable energy an inevitable choice to solve the contradictions between energy demand growth and energy shortage, energy utilization and environmental protection. As one of the cleanest and most efficient ways to utilize energy, distributed power generation technology utilizes various available dispersed energy sources for power generation and energy supply, which...

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Embodiment Construction

[0039] Embodiments of the present invention are described in further detail below in conjunction with the accompanying drawings:

[0040] The present invention provides a community energy network self-healing and reconfiguration method based on the unified deployment algorithm of photovoltaic storage that can cope with various complex working conditions and switching states of photovoltaic storage equipment, and a community energy network composed of 11 household photovoltaic systems As the test object, according to the actual power consumption data of the user within a day, implement the community energy network reconstruction and self-healing method based on the unified deployment algorithm of optical storage, such as figure 1 shown, including the following steps:

[0041] Step 1. Based on the D5000 platform energy management system, monitor and collect the operating status and electrical data of the optical storage equipment;

[0042] A schematic diagram of the community e...