Multi-Timescale Trading Strategies for the Participation of Multi-Energy Demand Response in the Consumption of Blocked New Energy Sources

doi:10.12204/j.issn.1000-7229.2023.01.001

Abstract

Abstract:

With the rapid development of new energy generation technology, the pressure of new energy consumption in the power grid is increasingly prominent. At the same time, with the development of multi-energy conversion technology, the degree of coupling between power grids and other types of energy networks is increasing. How to use the flexibility resources of different energy networks to dissipate the blocked new energy has become an urgent issue to be studied. This paper proposes a multi-timescale trading strategy that takes into account the multi-energy demand response to participate in the consumption of blocked new energy sources. First, a multi-type demand response model for cold, heat and electric loads is established with full consideration of the characteristics of integrated energy system (IES). Secondly, a price-based integrated demand response (IDR) day-ahead optimal scheduling model based on master-slave game theory is established in the day-ahead time scale, considering the equilibrium of interests of all parties in the process of new energy consumption. At the intra-day time scale, an incentive-based IDR intra-day rolling optimization scheduling model is developed to address the impact of the deviation from the new energy day-ahead forecast on system optimization.

Finally, the effectiveness of the strategy proposed in this paper is verified by case simulation. This work is supported by National Key R&D Program of China (No. 2018YFE0208400).

Key words: integrated demand response (IDR), new energy consumption, master-slave game, multi-timescale, integrated energy system (IES)

CLC Number:

TM73

ZHANG Yaoxiang, LIU Wenying, PANG Qinglun, LI Yalou, AN Ning, LI Fang. Multi-Timescale Trading Strategies for the Participation of Multi-Energy Demand Response in the Consumption of Blocked New Energy Sources[J]. ELECTRIC POWER CONSTRUCTION, 2023, 44(1): 1-11.

Figures/Tables 18

Fig.1 IES Structure Diagram

Fig.2 Segmented quotation curve of Incentive IDR

Table 1 IDR classification at different time scales

Fig.3 Multi-Time Scale IDR Scheduling Ideas for IES

Fig.4 Framework of master-slave game

Fig.A1 Solving method of master-slave game model

Fig.A2 Forecast data of various types of load and wind and photovoltaic power

Table A1 Time-of-use electricity price

Table A2 Operating parameters of various typical equipment in IES

Table A3 Incentive response subsidies at all levels

Table 2 Decision results of the game between each system operator and integrated energy users in 2:00-3:00

Fig.5 System electricity price under different schemes

Fig.6 New energy blocked power under different schemes

Fig.7 Day-ahead demand response of cooling,heating and power loads

Table 3 Day-ahead optimization results under different schemes

Fig.8 Blocked power of new energy under different schemes intra-day

Fig.9 Intra-day power load demand under different scenarios

Table 4 Intra-day optimization results under different schemes

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