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Method of solving robust two-layer optimization model based on wind power prediction and demand response

An optimization model, two-layer optimization technology, applied in the field of solution, can solve problems such as failure to consider

Active Publication Date: 2017-05-10
STATE GRID HEILONGJIANG ELECTRIC POWER CO LTD HARBIN POWER SUPPLY CO +2
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  • Application Information

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Problems solved by technology

But this formulation of price elasticity fails to take into account the difference between inelastic and elastic demand

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  • Method of solving robust two-layer optimization model based on wind power prediction and demand response
  • Method of solving robust two-layer optimization model based on wind power prediction and demand response
  • Method of solving robust two-layer optimization model based on wind power prediction and demand response

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Embodiment

[0282] (2) Example introduction and simulation scenario

[0283] The invention adopts an IEEE-30 node 6-machine system and is connected to a wind farm with an installed capacity of 100MW to verify the effectiveness of the robust double-layer optimization model. The system contains 6 conventional units, with a total installed capacity of 435MW. Parameter setting: load spinning reserve demand for each period is set at 10% of the load. The upstream and downstream standby demand of wind power grid connection is the difference between the upper limit and lower limit of the wind farm output range ; After the implementation of IBDR, the high price compensation rate for upstream standby is 1.5 times the real-time electricity price, and the discount rate for downstream standby electricity is 50% of the real-time electricity price; price elasticityε t The value range of, can make ε t = -1.

[0284] The present invention sets 3 simulation scenarios for comparison, and analyzes the influence o...

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Abstract

The invention provides a method of solving a robust two-layer optimization model based on wind power prediction and demand response. The robust two-layer optimization model comprises a unit combination optimization model and an economic dispatching optimization model. The method comprises steps: the unit combination optimization model is built; according to the unit combination optimization model, the economic dispatching optimization model is built; and according to the economic dispatching optimization model, the robust two-layer optimization model is built and solved. The robust two-layer optimization model provided by the invention comprises the unit combination optimization part and the economic dispatching optimization part, and considered from two aspects of a power generation side and a demand side, the method of the invention improves the wind power absorption level and solves the problem of uncertainty of wind power output.

Description

Technical field [0001] The invention relates to a solution method, in particular to a solution method of a robust two-layer optimization model based on wind power prediction and demand response. Background technique [0002] In the context of the Energy Internet, wind power as an important renewable energy has broad economic development prospects. For example, the US Department of Energy proposed that by 2030, wind power generation will reach 20% of the total domestic power generation [Document 1]. However, due to the volatility and intermittent nature of wind power, it is difficult to predict wind power output, and its anti-peak shaving characteristics have greatly restricted the simultaneous growth of wind power grid-connected capacity and installed capacity. In order to solve these problems, it can be considered from two aspects: establishing a stochastic optimal scheduling model on the power generation side and adopting Demand Response (DR) measures on the user side [Referen...

Claims

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Application Information

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IPC IPC(8): H02J3/38
CPCH02J3/386H02J2203/20Y02E10/76
Inventor 刘振艾欣王喜春张贺林刘鲁嘉
Owner STATE GRID HEILONGJIANG ELECTRIC POWER CO LTD HARBIN POWER SUPPLY CO
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