Optimal Operation of Integrated Energy System Based on Multi-time Scale Integrated Demand Response Strategy

doi:10.12204/j.issn.1000-7229.2022.09.006

Abstract

Abstract:

In order to fully explore the ability of various types of integrated demand response (IDR) to participate in the coordination of integrated energy system (IES) optimal operation, this paper firstly analyzes the multi-time scale characteristics of IDR, establishes various types of IDR models and formulates multi-time scale response strategy of IDR. Then, on the basis of the strategy, a multi-time scale optimization operation model of IES aimed at economic optimization is established. The model is divided into three stages: day-ahead, intra-day upper and intra-day lower stages. In the day-ahead stage, an economically optimal day-ahead scheduling plan is formulated. In the intra-day stage, the output of cooling/heat, electricity/gas related equipment is managed in different layers by dividing the long and short time scales. Finally, the analysis of a calculation example shows that the proposed model can effectively reduce the operating cost and give full play to the potential of equipment with different response capacities to participate in intra-day operation.

Key words: integrated energy system, integrated demand response, multi-time scale, optimal operation

CLC Number:

TM73

LIU Zhichun, LI Huaqiang, WANG Junxiang, LU Yang, YOU Xiang, HE Yongxiang. Optimal Operation of Integrated Energy System Based on Multi-time Scale Integrated Demand Response Strategy[J]. ELECTRIC POWER CONSTRUCTION, 2022, 43(9): 54-65.

Figures/Tables 19

Table 1 Response characteristics of IDR

Fig.1 Multi-time scale response strategy of IDR

Fig.2 Basic structure of an IES

Fig.3 Solution flow of multi-time scale optimization operation model of IES

Fig.4 Price curve of electricity/gas before and after optimization

Fig.5 Load curve of electricity and gas after PBDR

Fig.6 Optimization results of day-ahead optimal scheduling

Fig.7 Response results of IDR in the upper layer

Fig.8 Response results of facilities in the upper layer

Fig.9 Response results of IDR in the lower layer

Fig.10 Response results of facilities in the lower layer

Table 2 Operating costs of each scene

Table 3 Adjustment times of each device at different time scales and operation methods

Fig.A1 Forecast curve of wind turbine and load

Table A1 Parameters of facilities

Table A2 Basic price of electric in day-ahead stage

Table A3 Basic price of gas in day-ahead stage

Table A4 Time-of-use compensation price of IBDR I

Table A5 The level of response time of facilities

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