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Stochastic optimization control method and system for inside of virtual power plant participating in gas power market

A virtual power plant and stochastic optimization technology, applied in the general control system, control/regulation system, adaptive control, etc., can solve the problems that the model is difficult to solve, and the tail risk loss cannot be quantitatively described, so as to reduce the conservatism and accuracy of scheduling Good, high economic effect

Active Publication Date: 2019-07-05
CHANGSHA UNIVERSITY OF SCIENCE AND TECHNOLOGY
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Problems solved by technology

The uncertainty of wind power, photovoltaic output and load can be described by using the chance constrained programming theory, but the chance constrained optimization theory cannot quantitatively describe the tail risk loss, and the model is not easy to solve
Conditional value at risk can effectively quantitatively describe the tail risk loss, but due to its physical concept, it has limitations in engineering applications

Method used

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  • Stochastic optimization control method and system for inside of virtual power plant participating in gas power market
  • Stochastic optimization control method and system for inside of virtual power plant participating in gas power market
  • Stochastic optimization control method and system for inside of virtual power plant participating in gas power market

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Embodiment Construction

[0046] The present invention will be further described below in conjunction with the accompanying drawings and specific preferred embodiments, but the protection scope of the present invention is not limited thereby.

[0047] The internal stochastic optimization control method of the virtual power plant participating in the gas-electricity market in this embodiment, such as figure 2 As shown, the following steps are included: S1. Construct the electric-heat-gas model of the virtual power plant, and determine the target benefit function of the electric-heat-gas model; S2. Construct a discretized solution model of superquantiles according to the target benefit function; S3. Construct an intelligent algorithm model with the discrete solution model as the fitness function, and use the pre-built control scheme as the initial input of the intelligent algorithm model to calculate and determine the optimal control scheme under the preset operation scenario.

[0048] In this embodimen...

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Abstract

The invention discloses a stochastic optimization control method and system for the inside of a virtual power plant participating in gas power market. The method comprises the steps that S1 an electric-heating-gas model of the virtual power plant is constructed, and a target benefit function of the electric-heating-gas model is determined; S2 a discretization solution model of a super-quantile isconstructed according to the target benefit function; and S3 the discretization solution model is used as a fitness function to construct an intelligent algorithm model, and a pre-built control schemeis used as the initial input of the intelligent algorithm model to calculate and determine an optimal control scheme under a preset operation scenario. The method has the advantages of strong representativeness, good accuracy and the like.

Description

technical field [0001] The invention relates to the field of optimization control of virtual power plants, in particular to a method and system for internal random optimization control of virtual power plants participating in the gas-electricity market. Background technique [0002] When a large number of distributed power sources are connected to the power grid, the fluctuation of their output power will affect the safe, economic and stable operation of the power grid. A virtual power plant (Virtual Power Plant, VPP) can aggregate various distributed resources such as generator sets, energy storage, and controllable loads in terms of electrical characteristics, and participate in grid scheduling and market operations. Coordinated optimization control can reduce the impact of renewable energy output uncertainty. [0003] At present, most domestic and foreign studies on the economic dispatch of virtual power plants focus on the optimal dispatch of electricity or the coordina...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B13/04
CPCG05B13/042
Inventor 周任军彭院院徐健李斌方绍凤吴燕榕李雪芹
Owner CHANGSHA UNIVERSITY OF SCIENCE AND TECHNOLOGY
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