جستجوی مقالات مرتبط با کلیدواژه « الگوریتم جستجوی ملودی » در نشریات گروه « برق »

In today’s industrial world, it is indispensable to strengthen the power distribution network infrastructure against unexpected power losses and financial damages caused by earthquakes. This paper presents a new tri-level framework for multi-microgrid expansion planning (MMEP) against seismic risks stemming from the earthquake in which the lower level describes short-term corrective actions as the distribution network operator (DNO)’s reaction after the seismic risks to apply feeder reconfiguration and generation resource redispatch. The intermediate level meticulously models the destructive effects of seismic risks on the power distribution network components, such as substations, feeders, and distributed energy resources (DERs) through a well-defined seismic scenario generation method (SSGM). In the SSGM, with a new point of view, maximum horizontal ground acceleration is modeled using a reduction procedure in terms of effective seismic parameters, including soil type, seismic magnitude, occurrence depth, and surface distance. Additionally, and more importantly, the probability of complete destruction of the power distribution network components is estimated by predetermined fragility curves. Relying on maximum horizontal ground acceleration and probability of complete destruction, multiple seismic scenarios are generated by maximizing the technical-economic damage subject to structural constraints. Then, the worst-case seismic scenario is selected. In the third level, however, the resilient optimal microgrid expansion plans, as the long-term preventive actions after the seismic risks, are identified. The MMEP objectives, modeled through the third level, are the minimization of the investment and operation costs and maximization of participation profits while satisfying long- and short-term constraints over the planning horizon. A potent melody search algorithm (MSA) is widely employed to solve the proposed large-scale mixed-integer linear tri-level framework. The proposed planning framework is implemented on a standard 9-bus 33-kV test system to demonstrate the feasibility and effectiveness of the newly developed framework. The simulation results corroborate the effective performance of the proposed planning framework in improving the resilience of power distribution networks against seismic risks.

In this paper, with a new point of view, an innovative multi-objective approach is proposed for active power filters (APFs) planning. In the proposed approach, total harmonic distortion of voltage (THDV), motor load loss function (MLLF), harmonic transmission line loss (HTLL) and total current of the APFs (Iaf) are considered as the objectives of the multi-objective optimization problem; while, the individual and total harmonic distortions of voltage, and maximum permissible APFs size are taken as constraint into account. The proposed approach is a non-convex, non-linear mixed-integer optimization problem. Hence, a new melody search algorithm (MSA) is used to obtain the Pareto optimal set solutions and followed by fuzzy satisfying method (FSM) to find final optimal solution. The feasibility and effectiveness of the proposed multi-objective approach of the APFs planning are demonstrated on the IEEE 18-bus test system under several different scenarios and cases. The obtained simulation results illustrate the sufficiency and profitableness of the newly proposed approach in the APFs planning, when compared with other methods.