Optimal operation of distributed generation in power systems considering uncertainty effects through probabilistic load flow

2014 ◽  
Vol 27 (3) ◽  
pp. 1479-1485 ◽  
Author(s):  
Aghil Seyed Sadeghi Namin ◽  
Alireza Abunasri ◽  
Farzaneh Kavousi-Fard
2012 ◽  
Vol 614-615 ◽  
pp. 1693-1699
Author(s):  
Qi Yang ◽  
Meng Cong Liu ◽  
Ying Chen ◽  
Yun Xiao Bai

With constrains imposed by natural conditions, the power generated from wind power, solar power and other intermittent energy system has great randomness and volatility. Thus, the impact from the intermittent energy to the system voltage and power flow is uncertainty. In view of this problem, this paper studies the characteristics of these double random variables and correlation. By using the typical probabilistic load flow and Monte Carlo simulation method, this paper poses the probability load flow adapted to the intermittent distributed generation. Finally, taking IEEE33 distribution system for example, this paper obtains the mutual relationship between the power from the intermittent distributed generation and the probability distribution of the node voltage, current distribution of each branch.


Author(s):  
V. VIJAY VENU ◽  
A. K. VERMA

By adapting the emerging conceptualization of reliability network equivalents, originally developed to obtain reliability indices in the restructured scenario, a suitable framework encapsulating relatively independent modularity could be evolved that shall enable the application of joint deterministic- probabilistic well being-analysis for the composite restructured power systems. Reliability management forms the core component of successful transition from vertical integration of power systems to their deregulation. Timely reinforcements to the resource adequacy will ensure reliably operating power systems. Redundancy apportioning without pessimistic appraisals or exceedingly optimistic estimates is a vital ingredient for the success of restructured systems. With these goals in mind, this paper puts forward a philosophical modeling paradigm that investigates the feasibility of extending the hybrid approach of well-being analysis to a composite bilateral contracts market structure, a potential indicator of generation reinforcements to gear up for. Probabilistic load flow studies as a means to justify transmission reinforcements is also brought forward. Also presented is an overview of the reliability cost-worth methods, information from which forms an integral part of the reinforcement strategies.


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