Main Article Content

Tahirou Halidou Issoufou

Abstract

The aim of this paper is to propose a methodology for solving generation planning problem for thermal units integrated with solar, wind power systems and Pumped Hydro Energy System in Niamey (capital of Niger) city power grid. The Renewable Energy Sources (RESs) are included in this model due to their free and available sources, positive effect on environment, and their contribution in reducing the cost of running the thermal units. The system comprises of conventional sources (eight thermal units), Photovoltaic (PV) system, Wind-Turbine Generators (WTGs) and Pumped Hydro Storage (PHS) as power sources for ensuring the availability of the energy needed by the customers. The generation planning known as Unit Commitment (UC) is solved using Mixed-Integer Linear Programming (MILP). This optimization technique considered here, is utilized to minimize the operational costs which include the fuel cost and the Start Up Cost (SUC) of the thermal units, shut-down cost of each thermal unit is taken as zero. The simulation results obtained using MATLAB environment, reveal the effectiveness and robustness of the proposed scheme.

Article Details

References

[1] Samer T., John R.B., Erik L.:, A Stochastic Model for the Unit Commitment Problem, IEEE Transactions on Power Systems
[2] Abujarad S.Y.I., Mustafa M.W., Jamian J.J., Unit Commitment Problem Solution in The Presence of Solar and Wind Power Integration by an Improved Priority List
[3] Abujarad S.Y.I., Mustafa M.W., and Jamian J.J., Recent Approaches of Unit Commitment in the Presence of Intermittent Renewable energy Resources: A Review
[4] Ruey-Hsun L., Jian-Hao L., A Fuzzy-Optimization Approach for Generation Scheduling with Wind and Solar Energy Systems
[5] Kroposki B., Mooney D., Markel T., Lundstrom B., Energy Systems Integration Facilities at the National Renewable Energy Laboratory
[6] Wies, R. W., Johnson R.A., Agrawal A.N., Chubb T.J., Simulink Model for Economic Analysis and Environmental Impacts of a PV with Diesel-Battery System for Remote Villages
[7] Deshmukh M.K., Deshmukh S.S., Modeling of Hybrid Renewable Energy Systems
[8] Tina G., Gagliano S., Raiti S., Hybrid Solar/Wind Power System Probabilistic Modeling for LongTerm Performance Assessment
[9] Markvart T., Sizing of Hybrid PV-Wind Energy Systems
[10] Kumari J.S., Babu C.S., Mathematical Modeling and Simulation of Photovoltaic Cell using MatlabSimulink Environment
[11] Lindley D., The Energy Storage Problem
[12] George B., Feasibility Study of a Hybrid Wind/Hydro Power-System for Low Cost Electricity Production
[13] Caralis G., Hybrid Systems (Wind with Pumped Storage)
[14] Solomon E., Ibrahim U., Alireza M., Optimal Sizing of Wind-PV-Pumped Hydro Energy Storage Systems
[15] Gangadharayya S., Neeraj K.S., Shilpa B., Coordination and Performance Analysis of Pumped Hydro Storage System Integrated with Solar, Wind Hybrid System
[16] Nan S., Suquan Z., Xunwen S., Rongfeng y., Xianhui Z., Unit Commitment and Multi-Objective Optimal Dispatch Model for Wind-hydro-thermal Power System with Pumped Storage
[17] Mohammad M.S., Masahiro F., Mohammed E.L., Atsushi Y., Tomonobu S., Optimal Economical Sizing of Grid-Connected Hybrid Renewable Energy System
[18] Shantanu C., Tomonobu S., Ahmed Y.S., Atsushi Y., Toshihisa F., Optimal Thermal Unit Commitment Integrated with Renewable Energy Sources Using Advanced Particle Swarm Optimization
[19] Powell W.R., An Analytical Expression for the Average Output Power of a Wind Machine
[20] Kousksou T., Bruel P., Jamil A., El Rhafiki T., Zeraouli Y., Energy Storage: Applications and Challenges
[21] Tao M., Hongxing Y., Lin L., Jinqing P., Pumped Storage-Based Standalone photovoltaic Power Generation System: Modeling and Techno Economic Optimization
[22] Tao M., Hongxing Y., Lin L., Jinqing P., Technical Feasibility Study on a Standalone Hydrid SolarWind System with Pumped Hydro Storage for a Remote in Hong Kong
[23] Md. Sajid A., Matam S.K., Unit Commitment of Thermal Units in Integration with Wind and Solar Energy Considering Ancillary Service Management Using Priority List (IC) Based Genetic Algorithm
[24] Punysia K., Udom J., A Comparative Study of Mixed-Integer Linear Programming and Genetic Algorithms for Solving Binary Problems