Unit Commitment of Renewable Integrated Generation by Hybrid Particle Swarm Optimization Technique

Abstract

newline Adequate scheduling of available generation in context with a forecasted day-ahead newlineload demand is a challenging task. Proper scheduling of generating units results in newlinesignificant savings in operational cost. The prime objective of the Unit Commitment newlineProblem (UCP) is to minimize the operational cost. UCP is a complex non-linear newlineoptimization problem which is governed by sequential constraints. The complexity of the newlineproblem increases as the size of the power system gets increased. It is almost impossible to newlinesolve a UCP without applying proper optimization techniques. newlineHowever, with the advent of rising penetration levels of generation from newlineRenewable Energy Resources (RERs), the UCP problem needs appropriate modifications. newlineInclusion of RERs, no doubt, reduces the operating cost of thermal generators as the newlinecontribution of thermal generation gets reduced to meet the same demand. The renewable newlineresources, on the other hand, suffer from inherent weaknesses of uncertainty and newlineintermittency. This issue, to a great extent, is circumvented by inclusion of Energy Storage newlineSystems (ESSs) with RERs. newlineUCP, as such is a complex nonlinear optimization problem. Inclusion of RERs newlineand Battery Energy Storage System (BESS) to a great extent raises the complexity in newlineobtaining the generation scheduling of available resources. In order to achieve the most newlinecost-effective scheduling of thermal generators, it is imperative to design the charge/ newlinedischarge schedule of the battery in an optimized manner. While deciding the battery newlineevents, the availability of generation through RERs (non-cost involving), and accordingly newlinethe most economical generation through thermal generators (cost-involving) need to be newlineevaluated at each hour. Very effective and complex solution methodology becomes needed newlineto solve such a convoluted problem. newlineThe work in this thesis starts with formulation of thermal UCP using IEEE newlinesystems with four and ten generators. Particle Swarm Optimization with Time Varying newlineAcceleration Coefficients (PSO_TVAC), being the most s