Integrating Direct and Indirect Load Control for Congestion Management in LV Networks

Abstract

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Dynamic Tariff for Day-Ahead Congestion Management in Agent-Based LV Distribution Networks

“…Transactive energy frameworks have been developed to incorporate the flexibility of residential appliances with a range of scopes and aims [29,30]. In this context, market-based mechanisms with local flexibility services have attracted notable interest for ancillary services and network congestion management [6]. However, in a market-coordinated network with a considerable penetration of price-responsive appliances, the overall peak loads tend to be significantly higher due to the higher coincidence of loads in low-price hours.…”

“…In this work, we aim to incorporate a variable network tariff with the day-ahead dynamic price, as discussed in [6]. The market-based control is coordinated by a commercial market actor such as an aggregator.…”

“…In this work, PV systems have been considered as curtailable only, and their behavior has been considered inelastic to dynamic price signals. More information of the device level modeling can be found in [6].…”

“…In direct methods, end-users are compensated through an appropriate contract, which enables automatic or manual shift in consumption of electricity based on the requirements of the network operator. Indirect methods, on the other hand, invoke flexibility through a market-based coordination and/or dynamic price signals [5,6]. An overview of such mechanisms has been presented in [7][8][9][10][11][12] for various types of smart grid domains such as, for instance, microgrids, load balancing services, smart electric vehicle (EV) charging and residential energy management.…”

Smart residential load management technique for distribution systems' performance enhancement and consumers' satisfaction achievement

“…21 In addition, a few literatures take into consideration the preferred operation time and priority selection of end-users as one of the inputs to load management solution techniques, which must be taken into consideration. [21][22][23] Also, the achievement of all different objectives that maximize consumer satisfaction along with the optimal operation of the distribution system increases the complexity of load management problem but is a basic requirement for an optimal solution of load management. 1,13 Therefore, in this paper, a generalized load management formulation has been introduced including a mathematical formulation of all objectives that needed to be achieved as well as objective constraints.…”