Coordinated Optimal Dispatch of Electricity and Heat Integrated Energy Systems Based on Fictitious Node Method

Abstract

In an electricity and heat integrated energy system, the transmission of thermal energy encounters significant delays, and the delays are often not integer multiples of the dispatch interval. This mismatch poses challenges for achieving coordinated dispatch with the electric power system. To address this problem, the fictitious node method is proposed in this paper, offering a novel approach to calculating the quasi-dynamic characteristics of the heating network. Furthermore, to enhance the local consumption capacity of wind power, the heat storage capacity of the heat supply network was taken into consideration in this study, and a combined energy supply model equipped with electric boilers, incorporating combined heat and power (CHP) units and gas turbine units, was developed. This model effectively expands the operational range of CHP units and enables the decoupling of electricity and heat operations in gas turbine units. The analysis conducted demonstrated the effectiveness of the proposed method and model in achieving the coordinated dispatch of electricity and heat. Moreover, it highlighted the positive impact on the overall economy of system operation and the promotion of wind power consumption. The optimal configuration presented in this paper resulted in an 8.2% improvement in system operating economics and a 38.3% enhancement in wind power integration.

Multi-Time-Scale Optimal Scheduling of Integrated Energy System Considering Transmission Delay and Heat Storage of Heating Network

“…Moreover, heat storage within the heating network has the potential to enhance the local consumption of renewable energy. Energy generated from renewable sources can be converted into heat energy and stored within the network during periods of high new energy output [17]. Furthermore, heat storage within the network proves The heat storage capability of the heating network, as explored in the aforementioned studies, aims to redistribute the heat energy emitted by the GT during peak-time tariff hours.…”

“…Opting for an appropriate calculation time can better strike a balance between the computational accuracy and computational burden. In [17], the selection of the calculation time is achieved through a simple experiment in advance. This involves assuming a consistent flow of water at a constant temperature into the pipe network from the starting point of the heating network.…”

“…This study of the heating network is based on the following assumptions [17]: (1) the water within the pipe is treated as an ideal fluid; (2) the focus is solely on the temperature distribution along the length of the pipe; (3) due to the significantly lower thermal conductivity along the length of the pipe compared to convective heat transfer, thermal conductivity in this direction is disregarded. This study of the heating network is based on the following assumptions [17]: (1) the water within the pipe is treated as an ideal fluid; (2) the focus is solely on the temperature distribution along the length of the pipe; (3) due to the significantly lower thermal conductivity along the length of the pipe compared to convective heat transfer, thermal conductivity in this direction is disregarded.…”

“…Moreover, it is limited to theoretical analysis and lacks experimental validation. In [17], the fictitious node method was introduced. This method effectively balances computational accuracy and the computational burden by employing the calculation time.…”