A new approach for real time voltage control using demand response in an automated distribution system

Zakariazadeh, Alireza; Homaee, Omid; Jadid, Shahram; Siano, Pierluigi

doi:10.1016/j.apenergy.2013.12.004

Cited by 130 publications

(66 citation statements)

References 22 publications

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“…However, RTP may cause the load demand to be deferred to hours with low electricity price, which would result in higher peak electricity demand and peak-to-average ratio during the low electricity price time [8]. In [9], a novel voltage sensitivity matrix based on voltage sensitivity analysis is proposed. The voltage sensitivity is due to customers' load participation in DR program.…”

Section: Resultsmentioning

confidence: 99%

Real-Time Pricing and Energy Storage for Voltage Improvement in a Distribution Feeder

Petinrin¹,

Sanusi²,

Tijani³

et al. 2017

IJMEA

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Abstract:Increasing demand on electrical energy coupled with lack of new distribution facilities create a potential threat that can eventually sprawl to jeopardize the distribution system reliability. The variability characteristics of wind energy sources present a fundamental problem to its smooth integration in the distribution feeders, in a large proportion. Energy storage (ES) systems and demand response (DR) technique have the potential to improve the flexibility of distribution network, by allowing two ways of freedom for the distribution network operator (DNO), to support mitigation of demand-supply balance issues, and thereby the share of renewable energy sources (RESs) or improve penetration levels of renewables. By shifting electricity supply and customer demand patterns, this paper applies real time pricing and energy storage not only to significantly increase the penetration of wind energy, but also to offer other important value to shifts demand to times of relatively high renewable energy resources and low load; and by storing energy during off-peak, with less line losses, and redispatching this energy when needed. The results show that real time pricing and energy storage can effectively provide demand-supply benefits to the distribution network and customers.

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Section: Resultsmentioning

confidence: 99%

Real-Time Pricing and Energy Storage for Voltage Improvement in a Distribution Feeder

Petinrin¹,

Sanusi²,

Tijani³

et al. 2017

IJMEA

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“…ES i,t0 is the initial value of stored energy in ESS. The charging and discharging limits of ESS are given in (14) and (15).…”

Section: B Objective Functions and Constraintsmentioning

confidence: 99%

“…The ESS are used to increase the network capacity for accepting new wind turbines [10], voltage regulation [11], maximizing revenue for non-firm distributed wind generation [12], energy management and power quality improvement [13] and loss reduction [10]. DR actions can also bring ancillary services to the grid [14], voltage control [15], active loss reduction [16] and better exploitation of renewable energy sources as well as a reduction of the customers' energy consumption costs with both economic and environmental benefits [17].…”

Section: B Literature Reviewmentioning

confidence: 99%

Optimal DR and ESS Scheduling for Distribution Losses Payments Minimization Under Electricity Price Uncertainty

Soroudi

Siano

Keane

2016

IEEE Trans. Smart Grid

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138

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“…On the other hand, research on decentralized control aims to control the VVC equipment based on realtime and decentralized measurements and experiences [14,15]. Generally, this method provides no coordination between control devices.…”

Section: Introductionmentioning

confidence: 99%

A new market-based approach for daily Volt/Var control of distribution systems in the presence of distributed energy resources using Benders decomposition algorithm

Samimi¹,

Kazemi²

2016

Turk J Elec Eng & Comp Sci

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Distributed energy resources (DERs), if properly coordinated with other Volt/Var control (VVC) devices, could be incorporated in daily VVC problem. In this paper, a new 2-stage model is presented for daily VVC of distribution systems including DERs, taking into account environmental and economic aspects. First, in the day-ahead market, an initial environmental-economic dispatch is performed to minimize both the electrical energy costs and the gas emissions pertaining to generation units. The initial scheduling results determined by the market operator are delivered to the second stage, namely the daily optimal dispatches of VVC devices, to examine them from operational viewpoints and to yield the daily optimal dispatches of the VVC devices. The objective function of the second stage consists of the total cost of the following components: active power losses, adjustment of the initially scheduled active powers, and depreciation of switchable devices. In this paper, attention is directed towards 2 important types of DERs to be connected to the network: synchronous machine-based distributed generations and wind turbines. Because the active and reactive powers of DERs are coupled via the capability diagram, in this paper, this issue is addressed by considering the capability diagram of DERs in the proposed model. In particular, the Q-capability diagram of wind turbines should be analyzed taking the hourly wind speed fluctuations into consideration, so that delivery of a uniform reactive power can be ensured over the entire hour of operation. Due to the complexity of solving mixed integer nonlinear programming problems, an algorithm based on Benders decomposition is suggested to solve the proposed VVC model in the second stage. Finally, 2 standard distribution test networks are utilized to validate the effectiveness of the proposed method.

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A new approach for real time voltage control using demand response in an automated distribution system

Cited by 130 publications

References 22 publications

Real-Time Pricing and Energy Storage for Voltage Improvement in a Distribution Feeder

Real-Time Pricing and Energy Storage for Voltage Improvement in a Distribution Feeder

Optimal DR and ESS Scheduling for Distribution Losses Payments Minimization Under Electricity Price Uncertainty

A new market-based approach for daily Volt/Var control of distribution systems in the presence of distributed energy resources using Benders decomposition algorithm

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