Double-layer bidding optimization method for pumped storage unit in day-ahead electric power spot market

A technology of pumped storage unit and optimization method, which is applied in the application field of strategic bidding model, and can solve problems such as reactive power optimization

Active Publication Date: 2020-04-21
CHINA SOUTHERN POWER GRID COMPANY
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

But at present, genetic algorithm is mainly used in reactive power optimization problem in power system.

Method used

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  • Double-layer bidding optimization method for pumped storage unit in day-ahead electric power spot market
  • Double-layer bidding optimization method for pumped storage unit in day-ahead electric power spot market
  • Double-layer bidding optimization method for pumped storage unit in day-ahead electric power spot market

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Embodiment Construction

[0095] The present invention will be described in detail below in conjunction with the accompanying drawings and embodiments.

[0096] The present invention proposes a double-layer bidding model for pumped storage units in the day-ahead electric power spot market, and studies how the pumped storage units can achieve optimal allocation of resources and obtain maximum benefits through strategic quotations in the electricity market environment.

[0097] The scene in the present invention selects a market model in which the electric energy market and the auxiliary service market are jointly cleared. Without loss of generality, the following assumptions are made on the model:

[0098] 1) This model considers the joint optimization of the frequency regulation market and the electric energy market;

[0099] 2) This model defaults that other units or power plants are quoted at marginal cost (estimated);

[0100] 3) In this model, the electric energy market adopts the node marginal p...

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Abstract

The invention discloses a double-layer bidding optimization method for a pumped storage unit in a day-ahead electric power spot market. The method comprises the steps of firstly randomly generating Wgroups of new quoted prices in a quoted price range; then calling a gurobi optimizer to solve the market clearing model, and optimizing related parameters of the pumped storage unit under the target of minimum total power generation cost of the whole system; and with the goal of obtaining the maximum income of the pumped storage unit in the electric power spot market, optimizing the iterative process through a genetic algorithm until the optimal quotation and capacity optimization result of the pumped storage unit is output. According to the method, reasonable arrangement of the capacity of the pumped storage unit and optimization of resource allocation can be realized, and meanwhile, higher income is obtained, so that the competitiveness of the pumped storage power station in the market is improved.

Description

technical field [0001] The invention belongs to the field of market-oriented application of pumped storage units, and in particular relates to the application of a strategic bidding model of pumped storage units in the day-ahead electric power spot market. Background technique [0002] Pumped storage unit is a form of power supply with fast response and flexible operation mode. Because it has multiple functions such as energy storage, peak regulation and frequency regulation, it plays an important auxiliary role in the development of intermittent energy. At present, the installed capacity of pumped storage power stations in the world has reached 150 million kilowatts. With the transformation of the global energy structure and the revolution in energy consumption, pumped storage units will play an increasingly important role in ensuring the security of the power grid, providing flexible system adjustments, and promoting new energy consumption. more important role. [0003] W...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/06G06Q30/08G06Q50/06G06N3/12
CPCG06Q10/04G06Q10/067G06Q30/08G06Q50/06G06N3/126
Inventor 徐克强李泽文张勇别朝红王科周浩然聂涌泉刘凡何越刘起兴
Owner CHINA SOUTHERN POWER GRID COMPANY
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