Integrated Energy System Optimization Considering Thermal Inertia and CSP Station

doi:10.12204/j.issn.1000-7229.2023.01.013

Abstract

Abstract:

The operation mode of gas turbine (GT) in the traditional combined heat and power dispatching greatly limits the peak-shaving capability of the system. A method for optimal dispatch of concentrating solar power (CSP) station participation in heating is proposed. The thermal inertia of the heating network and heating area in the scheduling process is considered. First, a model for the CSP station to participate in the electric heating combined system regulation is built to enhance the peak-regulation capability of the source-side gas turbine unit. Secondly, the thermal inertia model of the heating network and building clusters is constructed, the potential of virtual energy storage is tapped, and the coordinated and optimized operation of the two types of thermal inertia and the CSP station is realized under the conditions of satisfying various constraints. Five comparison scenarios are constructed in the simulation analysis to verify the effectiveness of the coordination between the thermal inertia of the heating network and heating area and the heat storage system of the CSP station in improving the operating economy of the system, improving the efficiency of wind power and reducing the carbon emissions of the system.

This work is supported by National Natural Science Foundation of China (No. 52007103).

Key words: solar thermal power generation, combined heat and power, electric-thermal energy system, thermal inertia, wind absorption and abandonment, low-carbon benefit

CLC Number:

TM732

ZHANG Tao, LIU Kang, TAO Ran, WANG Qingchuan, HUANG Mingjuan. Integrated Energy System Optimization Considering Thermal Inertia and CSP Station[J]. ELECTRIC POWER CONSTRUCTION, 2023, 44(1): 109-117.

Figures/Tables 16

Fig.1 Simplified internal structure of a CSP station

Fig.2 Frame of electric-thermal energy system with CSP station

Fig.3 Electric heating load and forecast values of wind power

Table 1 Parameters of the CSP station

Table 2 Operating parameters of thermal power units and gas turbine units

Table 3 Other model parameters

Fig.4 6-node thermal system structure

Table 4 Five typical scenarios

Table 5 System operation results in various scenarios

Fig.5 Power supply ratio and carbon dioxide emission curve of conventional units in each scenario

Table 6 Comparison of adjustment capabilities of gas turbine units in five scenarios

Fig.6 The maximum remaining capacity of heat storage system in each scenario

Fig.7 Comparison of wind power abandonment in scenario 1 and scenario 2

Fig.8 The heat change curve of the heat storage system at each time in scenario 5

Fig.9 Electric power optimization results of electric-thermal energy system in scenario 5

Fig.10 Thermal power optimization result of electric-thermal energy system in scenario 5

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