Optimization techniques based on Evolutionary Algorithms for problems of energy system management [article]

Vasilios Tsalavoutis, National Technological University Of Athens
Over the years, progress in the industry and the living standards of people have increased electricity demand. Moreover, generation from Renewable Energy Sources (RES) has been deployed to increase the sustainability of power sectors. Due to the recent developments in power systems, system operators and planners have to manage complex decision-making processes to ensure the reliability and quality of power supply at minimal costs over different time horizons. Given the complexity of the
more » ... t management of power systems, the application of advanced optimization tools has become essential for decision-makers in their effort to make optimal decisions. In this context, this dissertation focuses on developing and evaluating optimization tools, which aim at facilitating decision-making in two important problems associated with power system management. The first one is the Generation Expansion Planning (GEP) problem, in which the optimum generating capacity additions to an energy sector over a long term planning horizon are sought to meet the anticipated increase in electricity demand. The second one, is the Short-term Generation Scheduling (STGS) problem, in which the optimal operating schedule of a given set of generators in a power system is determined to efficiently meet the expected load. A model for GEP of a semi-liberalized energy market is developed. In this model electricity producers are grouped by type of generating technology. The maximization of the power system's Net Present Value (NPV) is the model's objective. The evolution of the average annual System Marginal Price (SMP) and its interaction with the structure of the power sector is simulated. Moreover, energy objectives set by policy makers to promote capacity additions in RES are modelled. The optimal annual capacity orders and the load intensity factors are estimated. The model may allow for an assessment of the impact of energy policies both on the structure of the generating mix and the evolution of the SMP, assisting policy makers during indi [...]
doi:10.26240/heal.ntua.18698 fatcat:f2hrgkuixvdtlhw2anuyyduu3e