Optimal control method for multi-region electric-thermal integrated energy system considering quantitative heat storage

Abstract

The invention discloses a multi-regional electric-thermal integrated energy system optimization control method considering quantitative heat storage. The heat supply pipe network model is used to establish a virtual heat storage tank model of the heat supply pipe network; based on the virtual heat storage tank model, a heat storage quantification index is established, which is used to quantify the heat storage level of the primary pipe network and establish the heat storage of the pipe network. Quantitative regulation index; use the quantitative regulation index to construct the regulation target penalty term for heat storage in the pipe network; build a multi-region IPHS optimal scheduling model combined with the 1-bin unit combination model, and use the mixed integer quadratic programming solver to solve, get the IPHS Optimal control results of unit combination and economic dispatch. The invention improves the calculation efficiency and realizes the coordinated optimization of the heat storage in the heating pipe network in the IPHS scheduling.

Description

technical field [0001] The invention relates to the field of electric-thermal integrated energy systems, in particular to an optimal control method for a multi-region electric-thermal integrated energy system considering quantitative heat storage. Background technique [0002] With the continuous advancement of urbanization, industrialization and modernization, the contradiction between the growth of social energy demand and energy shortage and environmental pollution has become increasingly prominent. Breaking through the industry barriers of various energy subsystems and exploring multi-energy complementary advantages have gradually become the focus of the energy field. [1] . The Integrated Power and Heating System (IPHS) considers the coupling of the power system and the heating system, and is one of the most common multi-energy flow systems. Electric energy is easy to transmit and difficult to store, while thermal energy is easy to store and difficult to transmit. There...

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Problems solved by technology

First, the current unit combination model based on [12] The multi-area IPHS dispatching method only considers the economics of the unit, and it is difficult to actively regulate the heat storage of the pipe network in the multi-area heating system. The flexible dispatch of the cogeneration unit will lead to fluctuations in the water temperature of the pipe network, resulting in increased heat loss and accelerated pipe network aging. [13] ;Secondly, the upper and lower limits of pipe network temperature, pipe network capacity, and pipe network heat storage upper and lower limits may be different for different heating systems, and the lack of quantitative control indicators for heat storage in multi-regional heating pipe networks increases the difficulty of regulation [14] ; Finally, in the multi-region IPHS scenario, a large number of nodes and pipeline constraints will bring a lot of computing costs [15] , the heating system models widely used in regional-level IPHS scheduling, such as the node method, are difficult to meet the computational efficiency requirements of multi-regional IPHS scheduling

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