Substation Dynamic Expansion Planning Method Considering Distributed Power Penetration Changes
A distributed power, dynamic expansion technology, applied in computing, resources, data processing applications, etc., can solve problems such as complex impact
Active Publication Date: 2020-07-07
TIANJIN UNIV
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However, due to its fluctuation characteristics, the impact of DG on the load demand of traditional distribution network is more complicated. At present, only a few substation planning studies have considered the impact of DG. The impact of demand, ignoring the impact of load demand changes on the power supply range of substations in space
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[0128] Taking a certain area to cover an area of 63.08km 2 As a calculation example, according to the land use plan, it is divided into 368 sub-districts for spatial load prediction. The planning period is 20 years. The total annual load of the saturated load is 744.5MW, and the power factor is 0.9. The predicted target annual rated capacity of photovoltaic power generation in the planning area is 250.5MW, and the rated capacity of wind power generation is 126.5MW. According to the degree of load development in the planning area, it is divided into the old city, the new city built in the first year and the new city built in the tenth year. There are three types of load characteristics: Residential, Commercial and Industrial. Table 1 shows the substation site and capacity results of the target year without considering distributed power and considering distributed power.
[0129] According to the solution process, it can be seen that the result of dynamic expansion planning ...
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The invention discloses a transformer substation dynamic expansion planning method considering distributed power supply permeability variation. The transformer substation dynamic expansion planning method comprises the steps of: establishing a transformer substation dynamic expansion planning model considering distributed power supplies, wherein the establishment is implemented by establishing a target function and providing a model constraint condition; proposing a transformer substation range partitioning method based on an improved weighted Voronoi diagram algorithm, including penalty function improvement of a weighted Voronoi diagram, concavity and convexity improvement of the weighted Voronoi diagram and directivity improvement of the weighted Voronoi diagram; and solving the transformer substation dynamic expansion planning model based on a genetic algorithm and a heuristic algorithm, wherein the solution is implemented by performing encoding of the genetic algorithm and then solving the transformer substation dynamic expansion planning model. The transformer substation dynamic expansion planning method plans the locating and sizing of a transformer substation in middle years on the basis of improving a target year transformer substation locating and sizing method, fully considers the dynamic expansion planning process within the transformer substation planning years, and realizes the minimization of costs in the transformer substation locating and construction process.
Description
technical field [0001] The invention relates to a method for dynamic expansion planning of a substation. In particular, it relates to a dynamic expansion planning method for substations that takes into account changes in the penetration rate of distributed power sources. Background technique [0002] Substation planning problems can be divided into static planning to meet the load demand in the planning target year and dynamic expansion planning to meet the continuously increasing load demand in each development stage. According to the advanced planning concepts at home and abroad, first realize the cross-sectional power grid planning in the long-term target year, and then combine the current situation of the power grid to gradually realize the dynamic expansion planning of the power grid in each intermediate year in the near and mid-term. Combining with this planning idea, the present invention takes the year of load saturation as the long-term target year, and based on th...
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IPC IPC(8): G06Q10/06G06Q50/06
CPCG06Q10/06315G06Q50/06Y04S10/50
Inventor 刘洪王博葛少云郑楠郭力
Owner TIANJIN UNIV