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Conditional Value-at-credibility Model for Wind Power Integrated Stochastic Optimal Power Flow Under Risk Aversion

In the scenario of large-scale integration of un-certain renewable power, such as wind power, it requires additional ramping capabilities from other dispatchable units to compensate effects of the uncertain wind power in the problem of stochastic optimal power flow (SOPF), which undermines the efficiency of power system operation. In this paper, we propose conditional value-at-credibility (CVaC) model to assess the SOPF with uncertain wind power considering risk aversion. The CVaC model studies the random chanracteristic and fuzzy characteristic of wind power, which tries to reach a balance between operation risk and profit. To evaluate the effectiveness of our methodology, we carry out a simulation based analysis on a wind power integrated IEEE 30-bus system. Our case simulations show that the CVaC model can improve the operation reliability in evaluating the SOPF, in terms of providing a trade-off solution against the uncertain wind power.