The intermittency of wind and solar power generation brings risks to the safety stability system. In order maximize utilization renewables, optimal control dispatch methods Distributed Energy Resources including generators, energy storage flexible demand are necessary be researched. This paper proposes an optimization model aggregation in facilitate integration renewables while considering bene...

This paper presents an innovative active power filter design method to simultaneously compensate the current harmonics and reactive power of a nonlinear load. The power filter integrates a passive power filter which is a RL low-pass filter placed in series with the load, and an active power filter which comprises an RL in series with an IGBT based voltage source converter. The filter is assumed...

In recent years, renewable energy sources such as wind energy have been used as one of the most effective ways to reduce pollution emissions. In this paper, a summation based multi-objective differential evolution (SMODE) algorithm is used to optimize the economic emission dispatch problem with stochastic wind power. The Weibull probability distribution function is used to model the stochastic ...

This paper develops an energy management approach for a multi-microgrid (MMG) taking into account multiple objectives involving plug-in electric vehicle (PEV), photovoltaic (PV) power, and a distribution static compensator (DSTATCOM) to improve power provision sharing. In the proposed approach, there is a pool of fuzzy microgrids granules that they compete with each other to prolong their lives...

This paper presents a Simulated Annealing (SA) algorithm for solving the Environmental/Economic Dispatch Problem (EED). This problem is formulated as a multi-objective one with two competing functions, namely economic cost and emission functions, subject to different constraints. The inequality constraints considered are maximum and minimum limits of power generation while the equality constrai...

As social and environmental issues become increasingly serious, both fuel costs impacts should be considered in the cogeneration process. In recent years, combined heat power economic emission dispatch (CHPEED) has a crucial optimization problem system management. this paper, novel reinforcement-learning-based multi-objective differential evolution (RLMODE) algorithm is suggested to deal with C...