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Full-Text Articles in Engineering
Bi-Level Optimization Considering Uncertainties Of Wind Power And Demand Response, Xin Fang
Bi-Level Optimization Considering Uncertainties Of Wind Power And Demand Response, Xin Fang
Doctoral Dissertations
Recently, world-wide power systems have been undergone a paradigm change with increasing penetration of renewable energy. The renewable energy is clean with low operation cost while subject to significant variability and uncertainty. Therefore, integration of renewables presents various challenges in power systems. Meanwhile, to offset the uncertainty from renewables, demand response (DR) has gained considerable research interests because of DR’s flexibility to mitigate the uncertainty from renewables. In this dissertation, various power system problems using bi-level optimization are investigated considering the uncertainties from wind power and demand response.
In power system planning, reactive power planning (RPP) under high-penetration wind power …
High Order Contingency Selection Using Particle Swarm Optimization And Tabu Search, Ashwini Chegu
High Order Contingency Selection Using Particle Swarm Optimization And Tabu Search, Ashwini Chegu
Masters Theses
There is a growing interest in investigating the high order contingency events that may result in large blackouts, which have been a great concern for power grid secure operation. The actual number of high order contingency is too huge for operators and planner to apply a brute-force enumerative analysis. This thesis presents a heuristic searching method based on particle swarm optimization (PSO) and tabu search to select severe high order contingencies. The original PSO algorithm gives an intelligent strategy to search the feasible solution space, but tends to find the best solution only. The proposed method combines the original PSO …