Peak load adjustment method considering time-of-use electricity price and excitation compensation

A time-of-use electricity price and peak load technology, applied in complex mathematical operations, forecasting, resources, etc.

Active Publication Date: 2021-01-29
HEFEI UNIV OF TECH
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  • Claims
  • Application Information

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Problems solved by technology

However, the development of the domestic electricity market is still in a semi-open stage,

Method used

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  • Peak load adjustment method considering time-of-use electricity price and excitation compensation
  • Peak load adjustment method considering time-of-use electricity price and excitation compensation
  • Peak load adjustment method considering time-of-use electricity price and excitation compensation

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Embodiment Construction

[0095] In this example, if figure 1 As shown, a peak load adjustment method considering time-of-use electricity price and incentive compensation is firstly to solve the optimal time-of-use electricity price based on the time-of-use electricity price optimization model considering the interests of the grid side and the user side, and solve the time-of-use electricity price through the third-order elasticity matrix The load curve under the electricity price; secondly, the time period of the load under the time-of-use electricity price is re-divided by the fuzzy clustering method, and the peak period is divided; finally, the peak load adjustment measures are determined based on the proportional allocation principle, and the user power shortage cost is determined. The peak incentive price can provide technical support for the actual peak load demand side management; specifically, it is carried out according to the following steps:

[0096] Step 1. Establish a time-of-use electrici...

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Abstract

The invention discloses a peak load adjustment method considering time-of-use electricity price and excitation compensation, and the method comprises the steps: 1, building a time-of-use electricity price model considering target functions of a power grid side and a user side, and solving the optimal time-of-use electricity price; 2, performing time period division again based on the load under the time-of-use electricity price, and further dividing a peak time period through fuzzy clustering; 3, determining a peak load adjustment strategy based on a proportional allocation principle; 4, solving a load transfer rate through the price elasticity matrix and a load curve under the time-of-use electricity price; and 5, calculating a peak excitation price based on the power shortage cost of theuser. By researching the influence of different demand side response strategies on the user load, the peak load adjustment model is established on the basis of the time-of-use electricity price, andthe peak load is further reduced on the premise of ensuring satisfaction of the user, so that the system reliability is improved.

Description

technical field [0001] The invention relates to the field of power system demand side response, in particular to a peak load adjustment method considering time-of-use electricity price and incentive compensation. Background technique [0002] Demand response refers to the behavior of electricity users to shift or reduce load in response to electricity prices or incentive signals. Time-of-use tariff (TOU) is an important part of the demand response strategy. The implementation of the TOU tariff strategy can not only delay the investment in the power grid but also improve the stability of the system operation, it is widely used in the electricity market. However, for special time periods, even if the peak-valley time-of-use electricity price is implemented, the peak-time load (that is, peak load) in the peak time period is still relatively high. The existence of peak load not only reduces the utilization rate of power equipment, but also has an adverse effect on the safe and ...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q10/06G06Q30/02G06Q50/06G06F17/11
CPCG06Q10/04G06Q10/0637G06Q30/0283G06Q50/06G06F17/11Y04S50/14
Inventor 杨贺钧张新宇马英浩张大波吴红斌
Owner HEFEI UNIV OF TECH
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