Power grid economic operation domain generation method and system considering source-load double-side uncertainty
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A technology of uncertainty and operation domain, which is applied in power network operating system integration, single-network parallel feeding arrangement, information technology support system, etc. the effect of the ability
Active Publication Date: 2022-04-12
ELECTRIC POWER RES INST OF STATE GRID ZHEJIANG ELECTRIC POWER COMAPNY +2
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[0004]
However, although most of the existing studies have considered the impact of uncertainty on scheduling plans, the...
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Embodiment 1
[0070] This embodiment provides a method for generating an economic operation domain of a power grid that takes into account uncertainties on both sides of the source and load, which includes the following steps:
[0071] Step (1): Based on t Location-scale distribution, Latin hypercube sampling and K-medoids clustering, obtain typical wind power output scenarios and their corresponding probabilities. figure 1 A schematic diagram of Latin hypercube sampling is given, figure 2 The flow chart of K-medoids clustering is given. The steps are as follows:
[0072] (1.1) Use tLocation-scale distribution to fit historical data of wind power forecast error:
[0073]
[0074] In the formula, x is a random variable, here is wind power prediction error, Γ is a gamma function, μ is a position parameter, σ is a scale parameter, and ν is a shape parameter;
[0075] (1.2) Use Latin hypercube sampling to obtain discrete wind power output scenarios: assuming a random scalar X k The cumu...
Embodiment 2
[0121] This embodiment provides a power grid economic operation domain generation system that takes into account the uncertainties on both sides of the source and load, which includes:
[0122] Typical wind power output scenarios and their corresponding probability acquisition unit: based on t Location-scale distribution, Latin hypercube sampling and K-medoids clustering, to obtain typical wind power output scenarios and their corresponding probabilities;
[0123] Demand side response model establishment unit: according to price type demand side response rules, establish a demand side response model;
[0124] Power grid economic operation domain generation model establishment unit: According to the definition of economic operation domain, as well as the typical wind power output scenarios and their corresponding probabilities and demand-side response models obtained in the previous two units, the economic operation of the power grid that takes into account the uncertainty of bo...
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Abstract
The invention discloses a power grid economic operation domain generation method and system considering source-load double-side uncertainty. Most of the current power system scheduling methods give out a unit output plan curve, which is difficult to reflect the influence of uncertainty on a power grid scheduling plan. The method comprises the following steps: acquiring a typical wind power output scene and a corresponding probability thereof based on tLocation-scale distribution, Latin hypercube sampling and K-medoids clustering; establishing a demand side response model according to the price type demand side response rule; and on the basis, according to the definition of the economic operation domain, establishing a power grid economic operation domain generation model considering the uncertainty of both sides of the source and the load, and directly solving through a commercial solver. According to the method, the economic operation domain concept and power system dispatching are combined, the economic operation output interval of the unit is generated, the requirement for dispatching operation of the power system is met and further improved, and the influence of uncertainty on a power grid dispatching plan can be quantitatively described.
Description
technical field [0001] The invention belongs to the field of uncertain optimal dispatching of a large power grid, and in particular relates to a method and system for generating an economical operation domain of a power grid taking into account the uncertainty of both sources and loads. Background technique [0002] In recent years, renewable energy represented by wind power has developed rapidly, and China has now become the country with the largest installed capacity of wind power in the world. However, at the current level of technology, the accuracy of wind power forecasting is far lower than that of traditional power system load forecasting, and the randomness and volatility of wind power output pose challenges to traditional deterministic dispatching methods. [0003] Many scholars have carried out a lot of research on power system dispatching under wind power uncertainty. From the modeling form of optimization problems, they can be divided into two categories: stochas...
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