New Analytical Model for Optimal Placement of Wind Turbines in Power Network under Pool and Reserve Markets Conditions

In this paper a new market based analytical model is proposed for optimal placement of Wind Turbines (WTs) in power systems. In addition to wind turbines, thermal units (THUs) and Pumped Storage Hydro Power Plants (PSHPPs) owners participate in power market. Objective function is defined as participants’ social welfare achieved from power pool and ancillary markets in yearly horizon. Wind turbines have been modeled by probability-generation tree scenarios based on statistical information. We concentrate on investment profits of WTs numbers and its generation capacity beside to PSHPPs and THUs power plants in power systems due to increase in high flexible tools for Independent system operator into the planning and operation planning time interval. For effectiveness evaluation of proposed model, simulation studies are applied on 14-Bus IEEE test power system.

A Multiple Emission Constrained Approach for Self-scheduling of GENCO Under Renewable Energy Penetration

The electric sector contributes substantially to both greenhouse gas(GHG)and non-greenhouse gas(NGHG)emissions,which means that both conventional and thermal generation companies(GENCOs)must follow certain environmental guidelines to address various emission requirements.This paper presents a methodology to investigate the feasibility of both GHG and NGHG emission reduction in a deregulated electricity market.The proposed model takes into consideration the effect of NGHG emission cost constraints in conjunction with classical GHG emission constraints for the scheduling aspects of GENCO.A profit based self-scheduling problem with conventional fossil fueled generators and renewable energy technologies(RETs)is formulated including emission penalties and avoidance costs of GHG and NGHG emissions,respectively.Thereafter,a set of pareto solutions is evaluated for different possible scheduling scenarios.A simple,effective optimality criteria is also postulated to identify the tradeoff solution.Finally,a sensitivity analysis of various technical,environmental,as well as economic aspects is presented to examine the effect of NGHG consideration and RET inclusion in scheduling.The simulation results are presented and discussed in detail to examine the effect of NGHG consideration in self-scheduling practices of GENCO in the electricity market,thus reflecting the benefits of the proposed approach over classical emission handling approaches.