Determining the Pareto front of distributed generator and static VAR compensator units placement in distribution networks

Abstract

<span>The integration of distributed generators (DGs), which are based on renewable energy sources, energy storage systems, and static VAR compensators (SVCs), requires considering more challenging operational cases due to the variability of DG production contributed by different characteristics for different time sequences. The size, quantity, technology, and location of DG units have major effects on the system to benefit from the integration. All these aspects create a multi-objective scope; therefore, it is considered a multi-objective mixed-integer optimization problem. This paper presents an improved multi-objective salp swarm optimization algorithm (MOSSA) to obtain multiple Pareto efficient solutions for the optimal number, location, and capacity of DGs and the controlling strategy of SVC a radial distribution system. MOSSA is a bio-inspired optimizer based on swarm intelligence techniques and it is used in finding the optimal solution for a global optimization problem. Two sets of objective functions have been formulated minimizing DGs and SVC cost, voltage violation, energy losses, and system emission cost. The usefulness of the proposed MOSSA has been tested with the 33-bus and 141-bus radial distribution systems and the qualitative comparisons against two well-known algorithms, multiple objective evolutionary algorithms based on decomposition (MOEA/D), and multiple objective particle swarm optimization (MOPSO) algorithm.</span>

Research on fault adaptive fault tolerant control of distributed wind solar hybrid generator

“…The major difference between the differential gearbox front-end speed regulation wind turbine and the traditional dynamics modelling is introducing the differential gearbox speed regulation mechanism in the drive chain [37]. Therefore, establishing the dynamic model of the new front-end variable speed wind turbine is the basis and prerequisite for the subsequent control system design and performance analysis, and the laboratory team members have made some attempts in the early stage.…”