Coordination of Virtual Power Plants with Conventional Plants in Bid-Based Dynamic Economic Load Dispatch Using Archimedes Optimization Algorithm
摘要
The bid-based dynamic economic load dispatch (BBDELD) problem aims to maximize the social benefits in deregulated electricity market environment by scheduling the Conventional Power Plants (CPP) and flexible loads. This chapter presents a novel approach for coordination between the Virtual Power Plant (VPP) and CPP to satisfy the flexible loads through the BBDELD solution. The problem is formulated as a nonlinear optimization problem and is solved using a recently developed Archimedes optimization algorithm (AOA). Here, the uniform Market Clearing Price (MCP) is devised through the Nash supply function equilibrium model. The proposed problem is tested on a power system with five CPP, one equivalent VPP, and two flexible loads. The effectiveness of integrating the VPP into the BBDELD problem is judged through case studies. Comparative result analysis reveals that the social profit attained the maximum value with the applied AOA when incorporating VPP in the system. Further, the statistical analysis and convergence plots exhibit the superior search capacity of AOA over other contemporary methods.