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Distributed wind storage system optimization method considering source-network-load multi-party interests

A system optimization and decentralized technology, applied in the direction of system integration technology, information technology support system, resources, etc., can solve the problem that the reactive capacity of wind turbines cannot be effectively utilized

Active Publication Date: 2019-03-19
ELECTRIC POWER RESEARCH INSTITUTE OF STATE GRID SHANDONG ELECTRIC POWER COMPANY
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Problems solved by technology

In fact, wind turbine converters and energy storage power control systems (PCS) both have reactive power output capabilities. In view of the lack of relevant mandatory regulations in the country, the reactive power capacity of most wind turbines in my country cannot be effectively utilized, especially for The distributed grid-connected wind storage system can meet the system voltage requirements by using the reactive power adjustment capability of the wind turbine converter and energy storage PCS

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  • Distributed wind storage system optimization method considering source-network-load multi-party interests
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  • Distributed wind storage system optimization method considering source-network-load multi-party interests

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Embodiment

[0116] The structure diagram of 10kV distribution network system in a certain area is as follows figure 1 As shown in the figure, nodes #6, #32, #39, #24, and #17 are candidate nodes of the wind storage system, which are respectively marked as candidate nodes #1-5, and we will select three of them to configure different capacities of distributed wind storage system. The local maximum load is 20.0043MW, increasing at a rate of 2%, and the power factor is 0.9875. The physical and economic parameters of wind turbines and energy storage units are shown in Table 1 and Table 2, the time-of-use electricity price information is shown in Table 3, and the load transfer agreement between distribution network operators and distributed power investors is shown in Table 4 Show. The planning period is 10 years, and the simulation step is 1 hour. In order to avoid falling into a local optimum in the NSGA-II solution process, the crossover factor, variation factor and genetic algebra of the...

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Abstract

The invention discloses a distributed wind storage system optimization method considering source-network-load multi-party interests. The method comprises the following steps of: taking a maximum operation cost difference value of a power distribution network operator before and after grid connection of a wind storage system as an optimization target; taking the maximum internal return rate of thedistributed power supply investor as the target; taking the maximum revenue of the user after performing the demand side response as the target; based on a multi-objective optimization planning modelof three interest subjects of a power distribution network operator, a distributed power supply investor and a user, a distributed wind storage system scheduling strategy is adopted, and the interestsof the power distribution network operator, the distributed power supply investor and the user are optimized under the condition that the reactive power regulation capability of the wind storage system is fully considered. In the distributed power supply planning process, considering the source-network-load three-party interest plan, the project has more practical engineering significance, the benefits of the distributed power supply investors can be improved, and the utilization rate of renewable energy sources is increased.

Description

technical field [0001] The invention relates to a distributed wind storage system optimization method considering the multi-party interests of source, network and load. Background technique [0002] With the access of distributed power sources and diverse loads, the distribution network has changed from "passive" to "active", and the power flow has changed from "one-way" to "multi-directional", showing an increasingly complex "multi-source" "Characteristics, through the optimal planning and regulation of distributed generation (DG) and energy storage unit (ESS), the coordinated operation of source-network-load in the distribution network can be realized, and renewable energy can be fully absorbed. In recent years, my country's centralized wind power has exploded and grown, and the problems of "abandoned wind power rationing" and "subsidy gap" have become increasingly acute. Distributed wind power is considered to be a supplement to the wind power industry and has gradually a...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/06G06Q50/06
CPCG06Q10/04G06Q10/06315G06Q50/06Y04S10/50Y02E40/70
Inventor 王楠程艳孙树敏王玥娇张兴友李山周宁魏大钧王士柏于芃滕玮李广磊
Owner ELECTRIC POWER RESEARCH INSTITUTE OF STATE GRID SHANDONG ELECTRIC POWER COMPANY
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