CVaR Based Analysis On Economic Benefits Of Wind Farm

With the rapid development of global economy and the population continuesto increase, conventional oil, gas and coal-based energy demand is increasing, andincreasingly serious energy shortage. At the same time, fossil fuel caused byenvironmental pollution and ecological imbalance in a series of problems hasbegun to seriously affect human survival and development. The energy crisis hasbecome the subject of facing the world. Therefore, the human is an urgent need todevelop another new energy to solve these problems. And wind power as a clean,sustainable use of new energy, with a great deal of power generation efficiency andenvironmental values. To develop wind power is an effective way to alleviate theenergy crisis and environmental degradationIn recent years, under the encouragement and support of the Governments, thewind-based renewable energy power generation technology has developed rapidly,the wind energy utilization continuously improve the fan equipment costs and anoverall improvement in wind power generation efficiency. As in the existing systemof electricity market, the price mechanism does not consider the cost of theelectricity production process, resulting in environmental pollution and resourceconsumption, the potential benefits of wind-based energy generation does not get areasonable expression. Therefore, by considering the cost of wind power,generating income, environmental benefits and alternate costs, the establishment ofwind power generation efficiency model, in order to analyze the effectiveness ofwind power.In the proposed model, the installed wind power capacity generation benefitsof the decision variables, generating effective optimization problem into thesolution of the installed capacity of the optimal value, then the benefit of powergeneration model to strike wind power generation efficiency. Because the windspeed of the installed capacity and the random variable, therefore, the trend oftransmission lines and the active power output of conventional units constraintconditions, using CVaR mathematical methods to solve the installed capacity.Different with the traditional method, the theory can not only take into accountwind speed randomness, but also to deal effectively with a confidence level otherthan the extreme cases. CVaR function in the integral calculation is relatively complicated, so the Monte Carlo simulation and analytical combining function ofCVaR transform and discrete computing discrete points instead of continuousintegration, and Computing for quick and easy to make.Set the IEEE30 node simulation system for example, in order to solve theeconomic benefits of wind power under the three options. The results showed thatthe effectiveness and the size of the installed capacity of wind power and windspeed, CVaR confidence level has a direct relationship between the proposedtheoretical calculation method is novel and effective; CVaR method, andchance-constrained programming method compared to using the two methods werecalculated under the same conditions the benefit of power generation and installedcapacity. The results show that the CVaR calculation process is simple, and toconsider impacts outside the confidence, the result is more conservative. Therefore,the results obtained using CVaR function more in line with the actual situation.