Unit Commitment Problem and Intermittent Renewable Energy resources

Abstract

This traditional Unit Commitment (UC) problem of the current power networks has taken a new dimension of the growing intrusion of intermittent alternative power resources. Wind and solar power are not predictable and stable, and this aspect does not allow planning, reserve allocation, and cost minimization. This thesis discusses the effect of the intermittent renewable materials on the unit commitment, as well as optimization strategies that may be employed to solve these issues. The advantages and disadvantages of the classical, heuristic and meta-heuristic optimization strategies in renewable integrated energy networks are talked about. To generate and test the proposed integrated energy network of hydro-thermal wind energy in MATLAB with the YALMIP toolkit, the developed advanced wind penetration energy network in Denmark is taken as a reference position. The findings can be modified to the renewable energy system in place in Uganda. The structure of the research is a full UC structure whose functional constraints are speed of ramping, required min up or down time, necessity of safeguards and regenerative intermittency. The MILP and PSO outputs on value precision, mathematical efficacy and restraint acceptance are compared when to deal with three experimental cases of instances with different wind infiltration and cost frameworks. Findings suggest that MILP has better constraint management and solution precision whereas PSO has more flexibility in addressing stochastic renewable variability. The results indicate that proper UC needs effective strategies to incorporate renewables in a sustainable manner and offer effective advice to help in planning power systems in the emerging markets like Uganda. Keywords: unit commitment, renewable energy, optimisation, mixed integer linear programming, power systems, Intermittent