Real time economic dispatch considering renewable energy resources

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.

Optimal power flow of power systems with controllable wind‐photovoltaic energy systems via differential evolutionary particle swarm optimization

“…The technical literature on the subject proposes a methodology to calculate the cost of underestimating or overestimating the available power of the stochastic generator as an additional term in the objective function of the OPF. 6,7,45 The concept of underestimation (C u,i ) and overestimation (C o,i ) costs is due to the fact that there may be a difference between the available generated power (W av,i ) and that was scheduled (W S,i ). In this way, when scheduled power is less than the available power, there is an underestimation cost, since not all available power will be used.…”

“…In this study, controllability of wind or solar systems are realized by collocating them with a dispatchable unit (normally an energy storage system) as an integrated system, able to inject power in case of lack of resources or charge in case of abundancy . To simulate this behaviour in the problem, we propose to use uncertainty cost functions (UCFs) for solar and wind systems …”

Remote area power supply through suitable solar PV augmented micro‐hydro generation: A case study

“…1,2 The output varies as a function time and weather conditions. 1,2 The output varies as a function time and weather conditions.…”

Least‐cost generation expansion planning using whale optimization algorithm incorporating emission reduction and renewable energy sources

“…Renewable energy sources (RES) have gained the attention of researchers around the world to focus them in the power system areas such as economic dispatch, optimal scheduling, and optimal power flow. Reddy et al solved a real‐time economic dispatch problem while considering uncertainty and variability associated with solar and wind technologies . The high variability of renewables, as well as uncertainties at load demand, is also addressed to optimize hybrid energy systems .…”

“…Reddy et al solved a real-time economic dispatch problem while considering uncertainty and variability associated with solar and wind technologies. 16 The high variability of renewables, as well as uncertainties at load demand, is also addressed to optimize hybrid energy systems. 17 RES are accommodated in optimal scheduling problems while tackling with the uncertainties related with solar and wind plants.…”