Least cost generation expansion planning in the presence of renewable energy sources using correction matrix method with indicators-based discrete water cycle algorithm

• DOI: 10.1063/1.5094540
• Publication Date: 2019-10-10T13:38:54Z
• Authors: Muhammad Mansoor ...; Tahir Nadeem Malik
• Keywords: Time horizon

Generation expansion planning (GEP) is a vital step in power system after load forecast. It highly constrained, dynamic, combinatorial, and discrete optimization problem. Mathematically, it modeled as mixed-integer nonlinear programming problem with high dimensionality stochastic characteristics. The integration of renewable energy sources makes the GEP complicated task less reliable due to its intermittent nature. Meta-heuristic approaches are considered potential solution methodologies optimize least cost This paper presents novel framework pursue achieving certain reliability level according forecasted demand for horizon. proposed correction matrix method an indicator-based water cycle algorithm (DWCA-CMMI). In DWCA-CMMI, new parallel constraint handling approach, called indicators (CMMI), has been developed. DWCA-CMMI requires smaller number iterations search agents minimize total compared penalty factor-based metaheuristic approaches. Hence, CMMI enhances convergence speed algorithm, avoids trapping local optima, improves both exploration particularly exploitation. applied constrained emission problems (test systems) from literature. shows promising results terms runtime given by recent presented applicability approach also evaluated applying real case study Pakistan's devise feasible generation plan.