Two-Stage Scheduling Optimization Model of Flexible Resource Aggregation in New Power System

doi:10.12204/j.issn.1000-7229.2023.02.003

Abstract

Abstract:

The construction of the new power system dominated by new energy is a key driver to achieve the goal of carbon peaking and carbon neutrality. The traditional power supply structure dominated by controllable coal-fired power installations is transformed into a new power system dominated by new energy with strong uncertainty and weak controllability, which will face challenges such as shortage of flexibility resources. In order to improve the flexibility of the new power system, a two-stage scheduling optimization model of flexible resource aggregation is proposed in this paper. The first stage model considers time-of-price demand response, and takes the minimum net load fluctuation as the goal to smooth the load curve. The second stage model considers segmented incentive-based demand-response market trading mechanism, integrates flexibility resources such as electrochemical energy storage, pumped storage, and reformed thermal power, and designs the optimal operation scheme with the objective of minimizing system operation cost. Finally, the calculation result and scenario comparison show that demand response can fully exploit the interactive ability of load following system regulation. The reformed thermal power units can reduce coal consumption level, improve regulation ability, and enhance the spatial and temporal matching with system flexibility demand. Various types of energy storage actively respond to the power system peak regulation. Taking pumped storage power station as an example, the reservoir storage capacity presents the shape of "double peaks and double valleys" in the dispatching cycle.

Key words: new power system, flexible resource, pumped storage, demand response, two-stage

CLC Number:

TM73

FAN Wei, LI Xudong, WANG Yao, LI Xiangguang, WANG Yujie, TAN Zhongfu, JU Liwei. Two-Stage Scheduling Optimization Model of Flexible Resource Aggregation in New Power System[J]. ELECTRIC POWER CONSTRUCTION, 2023, 44(2): 25-37.

Figures/Tables 23

Fig.1 Structure of flexible resource aggregation system

Fig.2 Framework of two-stage optimization

Fig.3 Scheme of IBDR subsection declaration reduction

Fig.4 System load and forecasting power of WT and PV

Table 1 Time-of-use price

Table 2 Elastic coefficient matrix

Fig.5 Original net load curve and net load curve after PBDR

Fig.6 Original load curve and load curve after PBDR

Fig.7 Startup and shutdown status of thermal power units

Fig.8 Output power of thermal power units

Fig.9 Charge and discharge power and storage capacity of electrochemical energy storage

Fig.10 Charge and discharge power of pumped storage power station

Fig.11 Water extraction, consumption and storage capacity of upper and lower reservoirs

Fig.12 Segmented incentive demand-response plan

Fig.13 Upper and lower standby capacity available from various flexible resources

Table 3 Scenario settings

Fig.14 Comparison of operating costs of various scenarios

Table 4 Startup and shutdown times and coal consumption of thermal power in each scenario

Fig.15 Upper and lower standby capacity provided by various resources in scenario III

Table A1 Parameters of thermal power unit for flexible transformation

Fig.A1 TP startup and shutdown conditions in scenario II

Fig.A2 TP startup and shutdown conditions in scenario III

Fig.A3 TP startup and shutdown conditions in scenario IV

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