Smart Decentralized Control of DG for Voltage and Thermal Constraint Management

Abstract

Active Network Management schemes are being developed to accommodate larger volumes of renewable generation within distribution networks. Approaches typically manage only single technical constraints or are highly complex with extensive sensing and communications needs that bring cost, deployment and operational risks. This work offers an alternative, decentralized approach for real-time management of local voltage and thermal constraints that avoids extensive sensing and communications. It controls generator active and reactive power output to overcome voltage and thermal issues near the point of connection. Results from time-series analyses reveal its effectiveness in managing both constraints and allowing greater production. It represents a potentially effective and fastto-deploy alternative to more complex, integrated solutions.

Decentralized voltage control of clustered active distribution network by means of energy storage systems

“…Although the centralized control strategy is the most straightforward way to achieve the management of the network, it has several drawbacks: (1) there is a consequent computation complexity associated to the central information gathering/processing. (2) It faces difficulties in some applications when global information is not available [19]. (3) In the case of a failure of the central supervisor, the control is lost all over the network.…”

“…For a generic time t, DA A 1 performs the ALC task and it updates its own three-tuple (19) The computed losses S s (t) A 2 are added to the load of bus 2 and S s (t) A 3 is added to bus 7 before performing the ALC task. Since the ALC is to be performed by DA A 1 located at level 1, the convergence condition must be checked.…”

Optimal air-conditioning load control in distribution network with intermittent renewables

“…Air conditioners' status is represented by the binary integer: when air conditioners are ON, S ac = 1, otherwise, S ac = 0. The lower and upper bounds for the walls temperature are formulated in (20):…”

“…A oneparameter thermal model, shown in Fig. 1a, has been widely used in many previous smart home management studies [19,20]. In this one-parameter model, the authors assume that the heat gain/loss of a house is only related to internal and ambient temperature difference, and the building envelope equivalent thermal resistance.…”

Information Gap Decision Theory based congestion and voltage management in the presence of uncertain wind power

“…The benefits of these installations are numerous when correctly managed; asset upgrades are deferred [1], losses are reduced [2] and as thermal plants are displaced, carbon emissions are reduced [3]. However, the uptake of distributed generation (DG) challenges the traditional operation of the power system [4]; causing voltage rise [5] and thermal constraint breaches [6] as well as stability issues at large penetration levels [7]. These problems are manifested due to the nature of the series resistance and reactance of the distribution lines.…”