Emergency Dispatch Approach for Power Systems with Hybrid Energy Considering Thermal Power Unit Ramping

Buxiang Zhou, Jiale Wu, Tianlei Zang (), Yating Cai, Binjie Sun and Yiwei Qiu
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Buxiang Zhou: College of Electrical Engineering, Sichuan University, Chengdu 610065, China
Jiale Wu: College of Electrical Engineering, Sichuan University, Chengdu 610065, China
Tianlei Zang: College of Electrical Engineering, Sichuan University, Chengdu 610065, China
Yating Cai: College of Electrical Engineering, Sichuan University, Chengdu 610065, China
Binjie Sun: College of Electrical Engineering, Sichuan University, Chengdu 610065, China
Yiwei Qiu: College of Electrical Engineering, Sichuan University, Chengdu 610065, China

Energies, 2023, vol. 16, issue 10, 1-25

Abstract: Future power systems will face more extreme operating condition scenarios, and system emergency dispatch will face more severe challenges. The use of distributed control is a well-designed way to handle this. It enables multi-energy complementation by means of autonomous communication, which greatly improves the flexibility of the grid. First, in the context of global energy conservation and emission reduction, this paper adopts the energy usage method of “renewable energy is the main source of energy, supplemented by thermal power and energy storage” to reduce the system abandoned wind (light) rate while supplementing the energy storage capacity. Second, a consensus algorithm is added to the system while considering the coordination between thermal units and energy storage. An “interface” for autonomous communication between thermal units and energy storage is created using the incremental cost of each agent. To address the recurring issue of power imbalance during emergency dispatch of the system, the consensus algorithm is enhanced so that the communication interval varies with the unit rate. This is based on the climbing characteristics of each thermal power unit. Finally, the effectiveness of the proposed method is verified in an IEEE-30 bus system.

Keywords: hybrid-energy power system; cyber-physical system; consensus algorithm; ramp rate; energy storage; emergency dispatch (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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