Multi-region active power distribution system peak regulation optimization method considering power consumption demand elasticity

An active power distribution, multi-region technology, applied in power network operating system integration, AC network voltage adjustment, information technology support systems, etc. Safe operation, reduced optimization time, reduced number of effects

Active Publication Date: 2021-06-11
HEFEI UNIV OF TECH +1
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  • Claims
  • Application Information

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Problems solved by technology

[0004] However, the current research focuses more on the analysis of the overall load of the regional power grid, and less research on the load characteristics of specific industries. To a certa

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  • Multi-region active power distribution system peak regulation optimization method considering power consumption demand elasticity
  • Multi-region active power distribution system peak regulation optimization method considering power consumption demand elasticity
  • Multi-region active power distribution system peak regulation optimization method considering power consumption demand elasticity

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Embodiment Construction

[0123] In this embodiment, a dynamic scheduling optimization method for a multi-area active power distribution system is applied to such as figure 1 In the multi-area active power distribution system shown, the power elastic resources include: photovoltaic arrays, VRB energy storage devices, and multiple types of flexible loads in the area; in the process of dispatching the peak-shaving tasks to each area, the dispatch center uses various power elastic resources 1. The day-ahead forecast of peak shaving demand in each period is used as the initial input, and the scheduling plan is allocated under the consideration of the elastic range of each area, and the scheduling plan is revised on a real-time time scale.

[0124] see figure 2 , the multi-area active power distribution system scheduling optimization method is carried out as follows:

[0125] Step 1. Build a multi-area active power distribution system, including: dispatching center, industrial park dispatching area, busin...

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Abstract

The invention discloses a multi-region active power distribution system peak regulation optimization method considering power consumption demand elasticity. The method comprises the following steps: firstly, establishing a mathematical model of a photovoltaic and all-vanadium redox flow battery energy storage system and a multi-region flexible load scheduling unit in an electric power elastic environment; then, establishing a DTMDP model for the peak regulation optimization problem of a multi-region active power distribution system considering power consumption demand elasticity; and finally, solving the mathematical model in combination with reinforcement learning and an intelligent algorithm to obtain a multi-region scheduling optimization control strategy meeting peak regulation requirements. According to the invention, the hierarchical learning mechanism in the invention avoids the problem of curse of dimensionality of reinforcement learning to a certain extent, and promotes rapid solution of a scheduling strategy; the exploration capability of the algorithm is further enhanced through combination of reinforcement learning and an intelligent algorithm, and the optimal peak regulation strategy can be obtained; and potential dispatching information of the active power distribution system can be further obtained by considering electricity demand elasticity, and stable and safe operation of the system is promoted.

Description

technical field [0001] The invention belongs to the field of multi-area active power distribution system scheduling optimization, and specifically relates to a multi-area active power distribution system dynamic scheduling optimization method for the purpose of stable and economical operation of the system in consideration of the peak-shaving demand of the power grid and the elasticity of electricity demand. Background technique [0002] At present, the research focus of active power distribution system includes planning and design, hierarchical control and operation management. The research on planning mainly focuses on the optimal configuration of distributed power sources and grid planning; the research on hierarchical coordination control provides technical support for the scheduling and management of various resources. Overall optimal; research on operation management mostly focuses on reactive power compensation, scheduling optimization and other aspects. [0003] The...

Claims

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Application Information

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IPC IPC(8): H02J3/14H02J3/00
CPCH02J3/144H02J3/0075H02J2203/20Y04S20/222Y02P80/10Y02B70/3225
Inventor 唐昊曹永伦王正风吴旭李智吕凯谭琦
Owner HEFEI UNIV OF TECH
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