Abstract
Virtual power plant (VPP) interconnects distributed generation (DG) units, microgrids, and energy storage systems (ESSs) of an electrical power system. This article presents a linear programming cost minimization model of VPP for the design and commitments of DG, ESS, and microgrid. Using a set of renewable energy resources, the proposed model creates a reliable, cost-effective, and environmentally friendly distribution system. Accurately, it illustrates the schedule of the VPP to operate autonomously. The proposed model is applied to a set of United States commercial load profiles to determine the investment benefit of implementing DGs in the power system. Analysis of results concerning variation in energy price illustrates feasible solutions. VPP decision-makers can select the best reasonable solution based on their specific project budget for feature electricity generation. Moreover, results show the need for the proposed method in VPP decision making.
Highlights
Improving distributed generation (DG) in all aspects such as renewable technologies, financial-economic, and power quality causes the end-users to be keen on generating power electricity, individually
DG units independently operate with different owners that can be implemented on -grid or offshore [1]
VIRTUAL POWER PLANT MODEL virtual power plant (VPP) is defined as a combination of DGs, energy storage systems (ESSs), loads, and microgrids participating in the power market as an independent power plant for specific objective trading the generated the electrical energy for minimizing the cost
Summary
Improving distributed generation (DG) in all aspects such as renewable technologies, financial-economic, and power quality causes the end-users to be keen on generating power electricity, individually. The problem is determining the feasible and optimized solutions of a VPP contains different DGs, ESSs, loads, and microgrids for minimizing the cost. A. VIRTUAL POWER PLANT MODEL VPP is defined as a combination of DGs, ESSs, loads, and microgrids participating in the power market as an independent power plant for specific objective trading the generated the electrical energy for minimizing the cost. D. MATHEMATICAL FORMULATION The operational schedule of DGs is optimized, usually with the objective function of maximizing the profit or minimizing the cost of generating electricity by different optimization algorithms [23], [34], [35]. Charge/discharge rate restrictions for each storage unit and ramp limits for each generator
Sign-in/Register to view highlights & summary 
Published Version (
Free)
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call