Dynamic economic emission load dispatch of hybrid power system using bio-inspired social spider algorithm

In the face of depletion of fossil fuel and alarming concern for environmental degradation, the future energy scenario of the world is expected to lead by non-conventional distributed energy resources such as solar and wind among others. Combined heat and power is another form of distributed energy resource which produces heat as well as electrical power in a single process with an efficiency of more than 80% and also reduces emission level significantly. In this paper, a bio-inspired meta heuristic algorithm Social Spider has been used to simultaneously optimize cost of production as well as emission level of a hybrid power system consisting of wind power plant, solar power plant, combined heat and power generators, heat only unit and conventional generators so as to supply the dynamic demands of power and heat satisfying all equality and inequality constraints. Result shows that this algorithm is capable of solving such non linear multi objective optimization problem of hybrid power system.