Generation dispatch considering wind energy and system reliability

This paper attempts to address the issues of integrating wind generations with bulk power system while maintaining the efficiency and reliability of system operation. The stochastic output of wind generations increases the difficulty of balance total supply and load in a timely manner, and violates the system reliability indices such as EENS and LOLP. An efficient mean is to increase the operating reserve to compensate this additional unpredicted imbalance. To solve this problem, ideally the wind power, reserve and reliability cost should be concerned and optimized simultaneously. However the current dispatch and planning models with wind energy are mostly stochastic and solved by Monte Carlo simulation or heuristic methods. Those models and methods may not satisfy the requirements for mid-term and short term system operations, and further on-line applications. In this paper we propose an analytical EENS and LOLP indices contributed by wind power uncertainties with application of Q-function approximation. These reliability indices are considered in the co-optimization model of energy market and reserve market. In the model, conventional units and wind units are dispatched with optimal reserve and reliability costs. The wind power incurred system operating costs are proposed and formulated by the sensitivities in the optimization model. Finally the numerical example based on IEEE-39 system shows validity and effectiveness of the proposed model.