Sustainable Development Strategies in Power Systems: Day-Ahead Stochastic Scheduling with Multi-Sources and Customer Directrix Load Demand Response

Jiacheng Liu, Shan Huang (), Qiang Shuai, Tingyun Gu and Houyi Zhang
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Jiacheng Liu: School of Electrical Engineering, Sichuan University, Chengdu 610065, China
Shan Huang: School of Electrical Engineering, Sichuan University, Chengdu 610065, China
Qiang Shuai: School of Electrical Engineering, Sichuan University, Chengdu 610065, China
Tingyun Gu: Electric Power Research Institute of Guizhou Power Grid, Guiyang 550007, China
Houyi Zhang: Electric Power Research Institute of Guizhou Power Grid, Guiyang 550007, China

Sustainability, 2024, vol. 16, issue 6, 1-21

Abstract: Increasing the installed capacity of renewable energy sources (RESs) in the power system is significant for advancing sustainable development. As the proportion of RESs rapidly increases in power systems, the inherent stochasticity and variability of renewable energies significantly reduce the regulatory capacity of generation resources. To compensate for the lack of power system flexibility, it is necessary to coordinate the participation of load-side resources in demand response (DR). Therefore, this paper proposes a solution to the diminished flexibility of power systems. It introduces a day-ahead stochastic scheduling model for an integrated thermal-hydro-wind-solar system. This model relies on customer directrix load (CDL) to efficiently absorb RES output. CDL represents an ideal load profile shape. Firstly, the stochastic scenario sets of RES output were modeled using Monte Carlo simulations, and the complementary characteristics between wind and solar output are considered using Copula theory. Then, CDL is introduced into day-ahead scheduling model, which considers relevant demand-side responsive load constraints. Secondly, customer-side DR effectiveness model is proposed to obtain the shaping load profile after DR, based on quantitative customer response effectiveness evaluation metrics. Lastly, system-side stochastic scheduling model of high-proportion RES power system is proposed based on the shaping load profile. Case studies were conducted on a modified IEEE-6 bus system. These studies show that the model effectively addresses the uncertainty of RES. It improves the power system’s regulation capability. Additionally, it promotes the absorption of RES.

Keywords: sustainability; day-ahead scheduling; customer directrix load; demand response; renewable energy sources (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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