Why Journal ICON

A Bi-Monthly and Multidisciplinary Journal, High Quality Papers, Peer Review process, Open access policy, Fast Publication, Full Archive for life time

Why Journal ICON

A Bi-Monthly and Multidisciplinary Journal, High Quality Papers, Peer Review process, Open access policy, Fast Publication, Full Archive for life time

Why Journal ICON

A Bi-Monthly and Multidisciplinary Journal, High Quality Papers, Peer Review process, Open access policy, Fast Publication, Full Archive for life time

Why Journal ICON

A Bi-Monthly and Multidisciplinary Journal, High Quality Papers, Peer Review process, Open access policy, Fast Publication, Full Archive for life time

Why Journal ICON

A Bi-Monthly and Multidisciplinary Journal, High Quality Papers, Peer Review process, Open access policy, Fast Publication, Full Archive for life time

Friday, January 12, 2018

A Simulated Annealing MPPT Approach For Partially Shaded PV System

Journal ICON
Year: 2018 | Volume: 3 | Issue: 1 | Paper ID: ICON030118003
A Simulated Annealing MPPT Approach For Partially Shaded PV System

A.Sumee Jasmine, R.Banumathi, Mr. J.Daniel Sathyaraj and Dr. A. Gnana Saravanan

Abstract: Solar energy is one of the most abundant renewable energy sources, capable of producing electricity with the help of a PV cell. PV cell exhibits a non linear power-voltage (P-V) characteristics leading to a unique point referred as maximum power point(MPP). This MPP varies depending on environmental conditions. This project proposes a Simulated Annealing based Global Maximum Power Point Tracking (GMPPT)

WDO Based Security Constrained Unit Commitment with Flexible Set for Variable Wind Power

Journal ICON
Year: 2018 | Volume: 3 | Issue: 1 | Paper ID: ICON030118002
WDO Based Security Constrained Unit Commitment with Flexible Set for Variable Wind Power

M.Sumathy, Mrs.A.Amala Manuela, Mr.S.Murugan and Dr. A. Gnana Saravanan

Abstract: Power system operation has witnessed great challenges due to the large-scale integration of wind power. In this project, a two-stage robust security constrained unit commitment (SCUC) model is proposed for managing the wind power uncertainty in the hourly power system scheduling. Different from most existing works on robust SCUC, the flexible uncertainty set for wind power is taken into account, rather than the predefined deterministic one. The proposed method does not only pay attention to the feasible and economic operations within the flexible sets but also consider the risk in wind spillage or load curtailment out of them. It makes a better trade-off between wind power absorption and the economic grid operation, as well as obtaining feasible dispatch schedules. The proposed model and the corresponding solution method have been verified by several case studies in the modified IEEE systems. The results demonstrate the merits of the proposed solution method for managing large variations in the available wind power and lowering the overall cost of power system operations in an uncertain environment. The influence factors are also discussed such as the flexible resource and transmission capacity.

Fuzzy Energy and Reserve Co-optimization with High Penetration of Renewable Energy

Journal ICON
Year: 2018 | Volume: 3 | Issue: 1 | Paper ID: ICON030118001
Fuzzy Energy and Reserve Co-optimization with High Penetration of Renewable Energy

M.Suresh, Mr.Aravindh, Dr. P.Pannapandi and Dr. A. Gnana Saravanan

Abstract: In this paper, we propose an ANFIS-based energy and reserve co-optimization model with consideration of high penetration of renewable energy. Under the assumption of a fixed uncertainty set of renewable, a two-stage robust model is proposed for clearing energy and reserves in the first stage and checking the feasibility and robustness of re-dispatches in the second stage. ANFIS functions are introduced into the optimization model to represent the satisfaction degree of the variable uncertainty sets. The lower bound of the uncertainty set is expressed as membership functions. The solutions are obtained by transforming the mathematical programming formulation into traditional optimization problems. The new method is applied to a case study of the IEEE 30 -bus power system to verify the effectiveness of the proposed model and algorithm. The generated solution provides unit commitment as well as energy and reserve schedules. It is demonstrated that the ANFIS model can provide a trade-off solution between the system operating risks and total scheduling cost.