power system reliability
Recently Published Documents


TOTAL DOCUMENTS

544
(FIVE YEARS 80)

H-INDEX

37
(FIVE YEARS 5)

Author(s):  
Noor Aliff Nazmi Bin Noor Azhar ◽  
Hasmaini Mohamad ◽  
Nur Ashida Salim ◽  
Zuhaila Mat Yasin

2021 ◽  
Author(s):  
Antonio Ricca ◽  
Giovanna Adinolfi ◽  
Martina Caliano ◽  
Giorgio Graditi ◽  
Maria Valenti

Author(s):  
Hejun Yang ◽  
Xinyu Zhang ◽  
Yinghao Ma ◽  
Dabo Zhang

AbstractTime-of-use (TOU) pricing strategy is an important component of demand-side management (DSM), but the cost of supplying power during critical peak periods remains high under TOU prices. This affects power system reliability. In addition, TOU prices are usually applicable to medium- and long-term load control but cannot effectively regulate short-term loads. Therefore, this paper proposes an optimization method for TOU pricing and changes the electricity consumption patterns during the critical peak periods through a critical peak rebate (CPR). This reduces generation costs and improves power system reliability. An optimization model for peak-flat-valley (PFV) period partition is established based on fuzzy clustering and an enumeration iterative technique. A TOU pricing optimization model including grid-side and customer-side benefits is then proposed, and a simulated annealing particle swarm optimization (SAPSO) algorithm is used to solve the problem. Finally, a CPR decision model is developed to further reduce critical peak loads. The effectiveness of the proposed model and algorithm is illustrated through different case studies of the Roy Billinton Test System (RBTS).


2021 ◽  
Author(s):  
Zhetao Chen ◽  
Zhimin Xi

Abstract Power systems are designed to meet power demands of the communities with high reliability. Distributed generators (DGs) could play an essential role in improving the power system reliability and resilience. To date, influence of the uncertainty of the DGs to power system reliability has not been well addressed. Consequently, placement of the DGs considering reliability constraints may not be optimally conducted. This paper proposes reliability analysis and design of power systems under time-dependent load uncertainty and wind power generation uncertainty using an efficient uncertainty quantification (UQ) method, i.e., the eigenvector dimension reduction (EDR) method. Furthermore, binary particle swarm optimization (B-PSO) is proposed to address the optimal placement of DGs considering the reliability constraint. Two case studies, including an IEEE 14-bus power system and an IEEE 57-bus power system, are used to demonstrate the effectiveness of the proposed methodology.


Sign in / Sign up

Export Citation Format

Share Document