Carbon Trading Based Low-carbon Economic Dispatching For Power Grid Integrated With Wind Power System

As one of the main source of carbon emissions, power industry has huge potentialand obvious optimization space to reduce emissions, the development of low-carbonelectricity has important meaning for the implementation of the low carbon economy andsustainable development of the electric power. The implementation of carbon emissionstrading mechanism, through which encourages the power generation enterprises to executethe energy conservation and emissions reduction policy actively. Carbon tradingmechanism has a positive impact on low carbon emissions of power system economicoperation. In the other hand, as one of the most competitive clean energy, the wind powergeneration promotes the development course of low-carbon electricity, but the charactersof stochastic and controllable of wind power output have increased the difficulty of powersystem scheduling integrated with wind power. Based on the above analysis, the problemof carbon trading based low-carbon economic dispatching for power grid integrated withwind power system is studied as follows:At first, the connotation and principle of carbon emission trading mechanism and theinitial allocation schemes of carbon emissions are introduced. Typical power systemscheduling models are discussed, the stochastic wind power output selection method andthe stochastic model programming method aim at the character of wind power output areintroduced, and the influences of wind power to the scheduling system are analyzed.Moreover, a new type of low-carbon economic scheduling model of both economyand low carbon for electricity production system is put forward, in which the low-carbondispatching objective based on carbon trading mechanism and the economic dispatchingobjective considering the compensation cost of spinning reserve and the compensationcost for negative efficiency operation of wind farm are established. The natural selectionbased hybrid particle swarm optimization algorithm is applied to solve the proposedmodel. In the numerical examples, the influences of different dispatching modes andcarbon trading prices to dispatching results are analyzed. The optimization results showthat the proposed optimization model is effective and feasible, the algorithm is reasonable. At last, the multi-objective optimization of low-carbon economic dispatching modelfor wind power integrated system is established. The model consists of economicscheduling target of the smallest electricity purchasing costs and low carbon schedulingtarget of the lowest carbon trading costs. In the model, the evaluation indexes such asaverage electricity purchasing cost, wind power price subsidies and average unit outputshare are established. The improved multi-objective particle swarm optimization algorithmis applied to solve the problem, the results show that the improved algorithm is effectiveand feasible, the multi-objective scheduling model has realized the dual goal of lowcarbon and economy of dispatching system, the implementation of the carbon tradingmechanism has promoted the optimization of wind power layout and the utilization ofclean power generation units.