No abstract

No abstract

No abstract

a b s t r a c tIn practice, the real time economic dispatch is performed in every 5e15 min intervals with the static snapshot forecast data. During the period between two consecutive schedules, generators participate in managing power imbalance, based on participation factors from previous economic dispatch. In modern power system with considerable renewable energy resources that have high variability, this conventional approach may not adequately accommodate the economic implication of the said variability. This paper proposes the evaluation of 'best-fit' participation factors by considering the minute-to-minute variability of solar, wind and load demand, for a scheduling period. The voltage, reactive power limit and line flow constraints are included for all minute-to-minute sub-intervals. Since 'best-fit' participation factors are evaluated only once, i.e., at the start of scheduling interval, the dimensionality of optimization problem remains the same as that of conventional approach. The proposed approach is suggested for sequential as well as dynamic variants. The proposed real time economic dispatch approaches are tested on IEEE 30 bus and 118 bus test systems considering variability in renewable energy sources and load demand.

No abstract

No abstract

Modern transmission network expansion planning (TNEP) is carried out with AC network model, which is able to handle voltage and voltage stability constraints. However, such a model requires optimization with iterative AC power flow model, which is computationally so demanding that most of the researchers have ignored the vital (N-1) security constraints. Therefore, the objective of this research work is to develop an efficient, two stage optimization strategy for solving this problem. In the first stage, a DC expansion planning problem is solved which provides an initial guess as well as some very good heuristics to reduce the number of power flow solutions for the second stage of AC transmission and reactive expansion planning. A modified artificial bee colony (MABC) algorithm is used to solve the resulting optimization problem. Static AC TNEP results for Garver 6 bus, IEEE 24 bus and IEEE 118 bus test systems have been obtained with the proposed and rigorous approaches and wherever possible, compared with similar results reported in literature to demonstrate the benefits of the proposed method. Also, multi-stage dynamic AC TNEP for the Garver 6 bus system is solved to show the applicability of the methodology to such problems.

No abstract