부산대학교 도서관

In this paper impact study of different objectives on power bidding is done when thermal power generating companies are competing for maximum profit at minimum energy price and emission level. Those objectives are minimum fuel cost, minimum emission and maximum profit earned by participating bidders. These objectives are separately considered for bidding optimization in a preferred way to study the impact on individual bidding price of bidders, their scheduled generation, emission level and fuel cost. The effects are also studied on overall market economy in the light of overall selling price and loss. The effect is also studied on social welfare for the consumers’ and power bidders’. Those social welfares are based on the consumers’ overall fuel cost and emission level and the bidders’ overall profit gain. In this work IEEE 30 bus test system is used where six numbers of generators are conceived as six thermal power generating companies those are participating in power bidding auction. For searching optimized solution Pareto optimization approach is followed for minimization of priority based cost and emission function at maximized profit for the bidders. Game theory is applied as optimization tool. Matlab R2013a software is used for writing program code.