Research On Economic Dispatch Of Wind Farm Considering Demand Response

On the one hand, as a renewable clean energy, wind energy has a very important role in alleviating the energy crisis and reducing environmental pollution. However, on the other hand, the randomness and volatility of the wind power may pose a threat to the safe and stable operation of power system. With the rapid development of smart grid, demand-side resources become available scheduling "soft" resources, which has great potential for wind power consumption. Therefore, how to reasonable dispatch wind power and other conventional power while increasing wind power capacity is a problem.To reduce the impact of randomness and volatility caused by wind power, demand response is introduced in this dissertation. The research work is carried out around the function of demand response in wind power consumption and optimization algorithm, mainly including demand response modeling, improvement of gravitational search algorithm and research on economic dispatch of wind farm considering demand response.Firstly, the model of wind power output uncertainty was established. The paper described fuzzy distribution of wind power output prediction error using Cauchy distribution and then deduced credibility measure function of fuzzy distribution according to credibility theory, which laid the foundation for dispatch considering wind power output uncertainty.Secondly, the price-based and incentive-based demand response models were proposed. In allusion to anti-peak-shaving characteristic of wind power output, an optimized load curve based on TOU power price response mechanism of consumer psychology was adopted and principle of enlarging the peak-valley price ratio was introduced to determine TOU power price. Because interruptible load can be treated as equivalent reserve, the paper calculated its response cost model on the basis of method of electricity discount-pricing.Next, the single objective and multi objective model of dynamic economic dispatch with wind farm considering demand response were analyzed. The paper integrated wind power uncertainty in the way of spinning reserve constraint using credibility theory into dispatch process. Meanwhile, it established fuzzy programming models respectively in the goal of minimization of system operation cost and minimization of pollution emissions, considering the economy and environment protection of system operation and the influence of TOU power price and interruptible load in dispatch process. Gravitational search algorithm was improved substantially to accelerate the optimization algorithm convergence and the distribution characteristic of optimal solution. Based on the improved algorithm, the paper calculated unit output in each interval to provide bases for dispatch department to schedule generation planning.The proposed model was verified and analyzed by IEEE 24-bus 10-machine system with 24-hour load curve and wind power output in the region. The results indicate that the model can increase the capacity of wind power consumption with the goal of economic operation, which offers a new ideas to coordinate output of wind power and thermal power units. This solution can be helpful for the research on large-scale wind power integration.