Optimal planning of flood defence system reinforcements using a greedy search algorithm

Climate change and deterioration require a continuous effort to reinforce flood defences and meet reliability requirements. To efficiently upgrade flood defence systems, insight in costs and benefits of measures at a system level is required throughout the process of planning and design. Due to the size of flood defence systems the number of...

Investment planning for flexibility sources and transmission lines in the presence of renewable generation

Environmental and political factors determine long-term development for renewable generation around the world. The rapid growth of renewable generation requires timely changes in power systems operation planning, investments in additional flexible assets and transmission capacity. The development trends of restructured power systems suggest that...

Influence of Monitoring on Investment Planning of Flood Defence Systems

Many flood defences in the Netherlands will have to be reinforced in the coming decades. Many dikes do not fulfill the safety standard due to geotechnical failure modes, largely due to epistemic, reducible uncertainties. . The Value of Information is a measure to indicate beforehand whether an investment towards reducing epistemic uncertainty is...

Designing a monitoring system to detect signals to adapt to uncertain climate change

Adaptive plans aim to anticipate uncertain future changes by combining low-regret short-term actions with long-term options to adapt, if necessary. Monitoring and timely detection of relevant changes, and critical transitions or tipping points is crucial to ensure successful and timely implementation and reassessment of the plan. Although...

Optimal Placement and Sizing of Distributed Generation

In this thesis work we solve the problem of optimal placement and sizing of distributed generation by using an original Fuzzy Adaptive Particle Swarm Optimization algorithm and a Mixed Integer Linear Programming formulation of the problem. The goal of integrating Fuzzy Logic in Particle Swarm Optimization is to be able to overcome some of the...