Smart transmission grid expansion planning considering demand response resource

The intelligent engineering (IE) optimization theory is extended and optimal coordination operators, chance path, αβ-chance solution are proposed by means of the IE theory and the chance measure of the uncertainty theory. Taking wind power output as a random variable and demand response resource as a fuzzy variable, smart transmission grid planning is modeled by using the IE hybrid model and is solved with the hierarchical coordination mechanism. Then the chance solution can be obtained through coordination between participators. To assess the validity of the approach proposed, tests are performed on a modified IEEE 30-bus system. The results show that the hierarchical coordination algorithm can effectively address multi-uncertainties in grid planning. Transmission grid planning that takes into account the demand response resource has given an overall consideration of all the interests involved besides being better in performance. © 2012 State Grid Electric Power Research Institute Press.