Robust Generation and Transmission Expansion Planning Model Considering Incentive-Based Demand Response

doi:10.12204/j.issn.1000-7229.2022.07.007

Abstract

Abstract:

The extensive access of the large-scale renewable energy, such as wind power, to power systems will be one of the important directions for the development of the new-type power systems. The power demands of customers can be adjusted by employing the demand response mechanism to improve the flexibility of power system operation and promote the consumption of wind power. In this context, a generation and transmission expansion planning model is proposed taking the incentive-based demand response into account. Firstly, the incentive-based demand response mechanism is introduced, and a demand response model based on the segmented price incentive is proposed. Secondly, a robust generation and transmission expansion planning model based on the information gap decision theory is proposed considering incentive-based demand response, and formulated as a mixed integer linear model. Finally, the Garver 6-bus system and the improved IEEE 118-bus system are served for demonstrating the feasibility and validity of the proposed method.

Key words: generation and transmission expansion planning, demand response, wind power, information gap decision theory, mixed integer linear programming

CLC Number:

TM715

SUN Lei, WANG Yijun, DING Jiang, DING Ming, WANG Peng. Robust Generation and Transmission Expansion Planning Model Considering Incentive-Based Demand Response[J]. ELECTRIC POWER CONSTRUCTION, 2022, 43(7): 63-72.

Figures/Tables 13

Fig.1 Cost for per responsive power when customers participate in DR

Fig.2 Topology of the Garver 6-bus system

Fig.3 Predicted power generation of wind turbines in each scenario

Table 1 Parameters of candidate units in Garver 6-bus system

Table 2 Parameters of candidate lines in Garver 6-bus system

Fig.4 Planning scheme of the Garver 6-bus system

Table 3 DR results in partial selected scenarios

Table 4 Comparison of generation and transmission expansion planning schemes with and without DR in case 1

Table 5 Comparison of generation and transmission expansion planning schemes with segmented and fixed price incentive.

Table 6 The impact of cost changes of per responsive power on transmission system planning solutions

Table 7 The effect of changes of budget threshold on the maximum fluctuation of wind power

Table 8 Parameters of candidate units in the IEEE 118-bus power system

Table 9 Comparison of generation and transmission expansion planning schemes with and without DR in the IEEE 118-bus power system

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