A novel quasi-oppositional harmony search algorithm for AGC optimization of three-area multi-unit power system after deregulation

The present work addresses a decentralized, well tested three-area multi-unit power system for its automatic generation control (AGC) after deregulation which is characterized by price-based market operation. To match with the actual deregulated environment, as prevailing in the real one, the market structure is kept generic enough enabling to capture all possibilities occurring in real-time day-to-day power environment. In accordance to the modifications, as done in the investigated three-area power system model, the concerned objective is to intensify the deregulated AGC operation followed by load disturbances. At the present platform, three different classes of case study results are postulated for the studied test system. The first two illustrate the behavior of unilateral and bilateral based power contract transactions while the third one considers the contract violation case as it exists in present time. The contractual agreement, instituted by DISCO participation matrix, is initialized to address the power transaction contracts. In this work, a novel quasi-oppositional harmony search (QOHS) algorithm is explored and presented its significances in deregulated AGC operation. In the second phase of investigation, fast acting Sugeno fuzzy logic technique is explored for on-line, off-nominal operating conditions. For analysis purpose, both the qualitative and the quantitative aspects of the proposed QOHS are presented in reference to genetic algorithm (GA). Additionally, the sensitivity analysis is also performed to evaluate the performance of the proposed QOHS based controller. Simulation work reveals that the proposed QOHS may be, effectively, worked out to order to improve the deregulated AGC performance. It is also being observed that the proposed QOHS outperforms the GA in sense of deregulated AGC operation of power system.