Optimal Scheduling of Coordinated Wind-Pumped Storage-Thermal System Considering Environmental Emission Based on GA Based Heuristic Optimization Algorithm
الموضوعات : مهندسی هوشمند برق
Mohammad Esmaeil Nazari
1
(Department of Electrical Engineering, Golpaygan University of Technology)
Morteza Mohammad Ardehali
2
(Energy System Laboratory, Center of Excellence on Power Systems, Department of Electrical Engineering, Amirkabir University of Technology, Tehran, Iran)
الکلمات المفتاحية: Genetic Algorithm, Coordinated wind-pumped storage-thermal, energy and spinning reserve markets, environmntal emission, wind uncertainty,
ملخص المقالة :
The integration of renewable wind and pumped storage with thermal power generation allows for dispatch of wind energy by generation companies (GENCOs) interested in participation in energy and ancillary services markets. However, to realize the maximum economic profit, optimal coordination and accounting for reduction in cost for environmental emission is necessary. The goal of this study is to develop a simulation model for maximizing economic profit from coordination of renewable wind and pumped storage with thermal power generation for a GENCO with participation in energy and ancillary services markets with considerations for environmental emission and uncertainty associated with wind power based on a newly developed GA-based heuristic optimization algorithm. It is determined that for a GENCO with 13 MW wind farm capacity and 1662 MW thermal units, for meeting an average demand of 1129 MW, the utilization of 120 MW pumped storage in a coordinated wind-pumped storage-thermal system results in reduction of environmental emission by 13.54%, which leads to an increase in profit by 2.10%, as compared with operation with no pumped storage unit.
