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Minimization of load shedding by sequential use of linear programming and particle swarm optimization

机译:通过顺序使用线性编程和粒子群优化来最大程度地减少甩负荷

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Minimization of load shedding during contingency conditionsis solved as an optimization problem. As a new topic, instead oflocal load shedding, total load shedding of a large power system isconsidered. Power generation rescheduling is considered to minimizethe load shedding, as well. Different importance factors for busesare also considered. The linear programming method (LP) is used tosolve this problem in a short period of time without considering somepower system constraints. Particle swarm optimization (PSO) is alsoused to solve the problem by considering all power system constraints,but with a longer solving time. Finally, a new method, the sequentialuse of LP and PSO, is proposed, which is faster than PSO and considersall constraints. The IEEE 14 bus test system is used to compare theperformance of the mentioned methods and a comparison of the proposedalgorithm and genetic algorithm is accomplished.
机译:解决了应急情况下的甩负荷最小化问题,这是一个优化问题。作为一个新的话题,代替了局部减载,而是考虑了大型电力系统的总减载。还考虑重新安排发电计划,以最大程度地减少负载减少。还考虑了公共汽车的不同重要因素。线性规划方法(LP)用于在短时间内解决此问题,而无需考虑某些电源系统约束。粒子群优化(PSO)也可通过考虑所有电力系统约束来解决问题,但求解时间更长。最后,提出了一种新的方法,即LP和PSO的顺序使用,它比PSO快并且考虑了所有约束。 IEEE 14总线测试系统用于比较上述方法的性能,并完成了算法和遗传算法的比较。

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