Optimal Allocation of Renewable Energy Resources Considering Uncertainty in Load Demand and Generation

Author(s):  
Ashraf Ramadan ◽  
Mohamed Ebeed ◽  
Salah Kamel ◽  
Loai Nasrat
2016 ◽  
Vol 17 (3) ◽  
pp. 287-300 ◽  
Author(s):  
James A. Momoh ◽  
Surender Reddy Salkuti

Abstract This paper proposes a stochastic optimization technique for solving the Voltage/VAr control problem including the load demand and Renewable Energy Resources (RERs) variation. The RERs often take along some inputs like stochastic behavior. One of the important challenges i. e., Voltage/VAr control is a prime source for handling power system complexity and reliability, hence it is the fundamental requirement for all the utility companies. There is a need for the robust and efficient Voltage/VAr optimization technique to meet the peak demand and reduction of system losses. The voltages beyond the limit may damage costly sub-station devices and equipments at consumer end as well. Especially, the RERs introduces more disturbances and some of the RERs are not even capable enough to meet the VAr demand. Therefore, there is a strong need for the Voltage/VAr control in RERs environment. This paper aims at the development of optimal scheme for Voltage/VAr control involving RERs. In this paper, Latin Hypercube Sampling (LHS) method is used to cover full range of variables by maximally satisfying the marginal distribution. Here, backward scenario reduction technique is used to reduce the number of scenarios effectively and maximally retain the fitting accuracy of samples. The developed optimization scheme is tested on IEEE 24 bus Reliability Test System (RTS) considering the load demand and RERs variation.


2019 ◽  
Vol 8 (2S11) ◽  
pp. 2484-2488

The integration of considerable renewable energy resources in power grids has imposed high variability in the net load demand to be seen by conventional generating stations. The real-time economic dispatch (RTED) of modern power systems must consider minute-to-minute variability in the net load demand on the station during a scheduling interval of 5-15 min. The existing methods therefore may not explicitly handle economic implications of power system. This paper proposes a new method for RTED while fully addressing variability in power generation from renewable energy resources and load demand. The method suggests mean PFs for committed generators by conducting (off-line) economic dispatch for each subinterval of 1 min. Mean PFs are evaluated only once, that is just at the beginning of scheduling interval and will continued throughout the interval. This reduces complexity and dimensionality of the proposed method. The simulation results on a standard test bench validate economic competence of proposed approach over that conventional one.


Power sector is one of the factors that play an eminent role in the economic progress of a country and India has got a distinguished power sector with sources of power generation from feasible renewable energy resources to non-renewable energy resources. Owing to the fact of increasing day to day demand in power sector, integration of renewable energy sources, increased usage of non linear loads etc. results in voltage fluctuations, which in turn affects most of the customer’s load and their electricity bills too. If these voltage problems are not treated properly it may lead to serious conditions like voltage instability. Hence firstly in order to meet the increase in demand either new transmission line should be opted or the existing transmission line should be analyzed whether it is capable of handling increased load or not. Secondly to resolve Voltage fluctuation issues compensating devices should be used. Hence in this paper an effort is made to address both of the aforementioned issues, a 10-bus system is checked for existing transmission line performance under normal condition then for increased load condition , followed by an effort to shed light on the voltage profile improvement and loss reduction using SVC and also enlightens about the optimal allocation of SVC based on FVSI in a compact form.


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