Probabilistic Optimal Power Dispatch Considering Price-Based Real-Time Demand Response

Abstract

In this paper, a probabilistic optimal power dispatch (POPD) using linear programming (LP) is proposed for solving the power generation dispatch with price-based real-time demand response (PRDR). The expected shortterm load forecast is represented by a probabilistic distribution function. The simulation result has prosperously shown that the proposed method could handle the POPD solutions for real power dispatch considering PRDR by using probabilistic Truncated normal distribution function (PTNF). The PTNF is used in a vigorous part of the framework to eject the infeasible results during the computation. This would lead the results to the high degree of accuracy comparing to the normal sampling methods. The simulation results showed that the proposed method can efficiently and effectively minimize the total power generation cost while trading off the PRDR cost in the POPD problem with load uncertainty.

Energy Storage System Owner as a New Player in an Electricity Structure

“…RTP is used in electricity market. RTP is also applied for Demand response in IEEE 30 bus system (Chayakulkheeree et al, 2019). Nodal price has been used in multiple microgrids (Velasquez et al, 2019).…”

A Novel Transmission Line’s ATC Assessment Method by Considering the Generation Dispatch Limit (GDL) and Renewable Generation Capacity with Power Flow Sensitivity Analysis

“…Also, there are many studies' results in congestion protection planning such as installation of FACTs by authors [13][14][15], installation the Phase Monitor Unit (PMU) by author [16], to reduce the system's power loss by author [17]. In addition, research to support power system control with utilized an optimal generation dispatch are found in [18] and power system stability enhancement planning by authors [19][20][21]. Typically, power transfer on each transmission line will have a highly dominant generation groups to control, regulate and transfer power for support when power flow patterns are changing.…”