Multi-time-scale grid-source-load-storage coordinated control method

A multi-time scale, coordinated control technology, applied in the field of intelligent distribution network, can solve the problems of ignoring the reactive power adjustment capacity of distribution network operation performance, less research on active distribution network optimization scheduling, etc., and achieve the effect of low operating cost

Active Publication Date: 2017-12-29
NARI TECH CO LTD +2
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Problems solved by technology

At present, there are many studies on the dispatching of power systems including wind power generation and the optimal dispatching of microgrids, but less research on the optimal dispatching of active distribution networks
Moreover, in the research on optimal dispatching of active dist

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Embodiment Construction

[0024] In order to make the technical means, creative features, goals and effects achieved by the present invention easy to understand, the present invention will be further described below in conjunction with specific embodiments.

[0025] A multi-time scale network source-load-storage coordinated control method, which specifically includes the following steps: (1) Analyze the adjustable resources and control ranges in the distribution network at different time scales; (2) Establish a day-ahead optimization model, (3 ) According to the day-ahead optimization model and day-ahead prediction information, the particle swarm optimization algorithm is used to optimize the distributed power generation, energy storage, and flexible loads under the active distribution network to ensure that the total operating cost in the optimization period is the smallest; (4) establish Intraday optimization model, on the basis of the previous optimization results, performs intraday quasi-real-time r...

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Abstract

The invention discloses a multi-time-scale grid-source-load-storage coordinated control method comprising the following steps that (1) the adjustable resources existing in a power distribution network and the adjustment scope under different time scales are analyzed; (2) a day-ahead optimization model is established; (3) day-ahead optimization is performed on the distributed power supplies, energy storage and flexible load under the active power distribution network by using a particle swarm algorithm according to the day-ahead optimization model and day-ahead forecasting information so as to ensure the total operation cost to be minimal within the optimization period; (4) an intra-day optimization model is established; and (5) rolling correction is performed on the operation state of the distributed power supplies, energy storage and the flexible load and the operation mode of the power distribution network of the current period of time according to the power flow distribution situation of the current power distribution network, the node voltage situation, the operation state of the distributed energy and the charge and discharge situation of energy storage with combination of ultrashort-term load forecasting and power generation forecasting. The effect of multiple adjustable and controllable resources in operation of the active power distribution network can be fully exerted so as to guarantee effective consumption and efficient utilization of the distributed power supplies.

Description

technical field [0001] The invention relates to a multi-time-scale coordinated control method of network source, load and storage, and belongs to the technical field of intelligent distribution network. Background technique [0002] The penetration rate of distributed power in the distribution network is showing an upward trend. Due to the randomness and volatility of distributed power, especially renewable distributed new energy, the traditional optimal dispatching method of the distribution network can no longer meet the requirements. Realistic demand for large-scale distributed power access. [0003] Active distribution network is an effective solution to realize large-scale intermittent new energy grid-connected operation and control. At present, there are many studies on the dispatching of power systems including wind power generation and optimal dispatching of microgrids, but less research on the optimal dispatching of active distribution networks. Moreover, in the r...

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Application Information

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IPC IPC(8): H02J3/38H02J3/28
CPCH02J3/003H02J3/28H02J3/382H02J2203/20
Inventor 黄素娟陈雷韩韬王丙文谭志军刘爱华宋英华吴雪琼王必恒亢洁张晓青肖徐兵谢琳
Owner NARI TECH CO LTD
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