Wind storage combined heat supply system optimization scheduling strategy considering electric heat demand response
A demand response and heating system technology, applied in heating systems, power network operating system integration, household heating, etc., can solve problems such as less consideration of demand-side heat load schedulability, so as to improve the level of wind power consumption, Improving energy utilization efficiency and improving environmental benefits
Inactive Publication Date: 2021-12-28
SHANGHAI MUNICIPAL ELECTRIC POWER CO
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Problems solved by technology
At this stage, in the research on the optimal scheduling of wind power heating systems, less consideration is given to the dispatchability of heat loads on the demand side, and the combination of the supply side and the demand side is rarely involved.
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[0075] In order to better understand the technical solution of the present invention, the following will be described in detail through specific examples:
[0076] The optimal scheduling flow chart of the wind-storage combined heating system provided by the present invention is as follows: figure 1 As shown, the technical solution includes the following steps:
[0077] Step 1. Based on the peak-valley time-of-use electricity price, build a demand-side electricity price response model to study electricity load price-based demand response.
[0078] Step 1, the construction process of the demand-side electricity price response model is as follows:
[0079] Select peak-valley time of use (TOU) as the research object, first assume that the user category is fixed in the heating area studied, and the voltage level of the transmission line is constant, and the line loss rate is constant. It is obtained that before the implementation of TOU, the user's electricity demand at each time...
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The invention discloses a wind storage combined heat supply system optimization scheduling strategy considering electric heat comprehensive demand response, comprising the following steps of 1) constructing a demand side electricity price response model based on peak-valley time-of-use electricity price, and researching power load price type demand response, (2) modeling thermal load demand response by considering the characteristic of resident heating comfort fuzziness, and (3) considering electric heat comprehensive demand response, considering heat storage and electricity storage on a supply side, introducing a heat storage type electric boiler and a lithium battery for energy storage, constructing an optimal dispatching model of the wind storage combined heat supply system, and deciding real-time output of the wind turbine generator, the heat storage type electric boiler and the lithium battery for energy storage by taking the maximum wind power absorption amount of the system as a target. The optimal scheduling strategy provided by the invention is beneficial to optimization of load distribution on the demand side of the heat supply system, the peak-valley difference of the system load is reduced, the capacity of the system for absorbing wind power in the valley period is improved, and the economic benefit and the environmental benefit of the heat supply system are improved.
Description
technical field [0001] The invention belongs to the technical field of comprehensive demand response, and in particular relates to an optimal scheduling strategy for an air-storage combined heating system for electric-heat comprehensive demand response. Background technique [0002] Due to the volatility and randomness of wind power output, and the mismatch of source and load often occurs in the heating system, there is insufficient space for wind power to be connected to the grid, resulting in wind curtailment. On the supply side, introducing thermal storage electric boilers to accommodate wind power heating is one of the effective ways to solve the problem of abandoned wind. It can store heat energy during the period of low electricity price and release heat energy during the peak period of electricity price, which alleviates the contradiction between heating and power supply of the unit to a certain extent, and improves its ability to participate in peak regulation; at th...
Claims
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IPC IPC(8): H02J3/46H02J3/14F24D19/10
CPCH02J3/004H02J3/008H02J3/0075H02J3/46H02J3/144F24D19/1096H02J2203/20H02J2300/28H02J2300/40Y02E10/76Y02B10/70Y02B30/70Y02B70/30Y02B70/3225Y04S20/222Y04S20/244
Inventor 卫思明窦真兰李越
Owner SHANGHAI MUNICIPAL ELECTRIC POWER CO