A new fuzzy adaptive particle swarm optimization for daily Volt/Var control in distribution networks considering distributed generators

Niknam, Taher; Firouzi, Bahman Bahmani; Ostadi, Amir

doi:10.1016/j.apenergy.2010.01.003

Cited by 100 publications

(54 citation statements)

References 33 publications

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“…At the present time, most of the DGs are generally operated at unity or at a fixed power factor for avoiding interference with the other Volt/Var regulation devices connected to distribution systems [5,6]. Since the distribution systems usually have a radial structure, which comprises the distribution lines with low X/R ratios, the active power of DGs has a significant effect on the VVC performance [7]. Generally, VVC in a distribution system can be implemented in a centralized or decentralized manner.…”

Section: Background and Motivationmentioning

confidence: 99%

“…Generally, VVC in a distribution system can be implemented in a centralized or decentralized manner. Centralized offline control have been implemented to determine dispatching schedules for switched Sh.Cs, OLTC settings at substations and the active/reactive power of DGs for the day ahead, according to an optimization problem based on load demand forecasts [7][8][9][10][11][12], while research on decentralized real-time control have aimed to control the VVC devices based on real-time and local measurements [13][14][15].…”

Section: Background and Motivationmentioning

confidence: 99%

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Coordinated Volt/Var Control in Distribution Systems with Distributed Generations Based on Joint Active and Reactive Powers Dispatch

Samimi

Kazemi

2016

Applied Sciences

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Abstract:One of the most significant control schemes in optimal operation of distribution networks is Volt/Var control (VVC). Owing to the radial structure of distribution systems and distribution lines with a small X/R ratio, the active power scheduling affects the VVC issue. A Distribution System Operator (DSO) procures its active and reactive power requirements from Distributed Generations (DGs) along with the wholesale electricity market. This paper proposes a new operational scheduling method based on a joint day-ahead active/reactive power market at the distribution level. To this end, based on the capability curve, a generic reactive power cost model for DGs is developed. The joint active/reactive power dispatch model presented in this paper motivates DGs to actively participate not only in the energy markets, but also in the VVC scheme through a competitive market. The proposed method which will be performed in an offline manner aims to optimally determine (i) the scheduled active and reactive power values of generation units; (ii) reactive power values of switched capacitor banks; and (iii) tap positions of transformers for the next day. The joint active/reactive power dispatch model for daily VVC is modeled in GAMS and solved with the DICOPT solver. Finally, the plausibility of the proposed scheduling framework is examined on a typical 22-bus distribution test network over a 24-h period.

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Section: Background and Motivationmentioning

confidence: 99%

Section: Background and Motivationmentioning

confidence: 99%

Coordinated Volt/Var Control in Distribution Systems with Distributed Generations Based on Joint Active and Reactive Powers Dispatch

Samimi

Kazemi

2016

Applied Sciences

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“…In [5] an Ant Colony Optimization (ACO) algorithm has been adopted to optimize the total cost of electrical energy generated by Distribution Companies (Discos) and DGs in the daily VVC problem. In [6] a fuzzy price-based compensation methodology has been proposed to solve the daily VVC problem in distribution systems in the presence of DGs. In [7] a new optimization algorithm based on a Chaotic Improved Honey Bee Mating Optimization (CIHBMO) has been implemented to determine control variables including the active and reactive power of DG units, reactive power values of capacitors, and tap positions of transformers for the next day.…”

Section: Introductionmentioning

confidence: 99%

A New Approach to Optimal Allocation of Reactive Power Ancillary Service in Distribution Systems in the Presence of Distributed Energy Resources

Samimi

Kazemi

2015

Applied Sciences

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Abstract:One of the most important Distribution System Operators (DSO) schemes addresses the Volt/Var control (VVC) problem. Developing a cost-based reactive power dispatch model for distribution systems, in which the reactive powers are appropriately priced, can motivate Distributed Energy Resources (DERs) to participate actively in VVC. In this paper, new reactive power cost models for DERs, including synchronous machine-based DGs and wind turbines (WTs), are formulated based on their capability curves. To address VVC in the context of competitive electricity markets in distribution systems, first, in a day-ahead active power market, the initial active power dispatch of generation units is estimated considering environmental and economic aspects. Based on the results of the initial active power dispatch, the proposed VVC model is executed to optimally allocate reactive power support among all providers. Another novelty of this paper lies in the pricing scheme that rewards transformers and capacitors for tap and step changing, respectively, while incorporating the reactive power dispatch model. A Benders decomposition algorithm is employed as a solution method to solve the proposed reactive power dispatch, which is a mixed integer non-linear programming (MINLP) problem. Finally, a typical 22-bus distribution network is used to verify the efficiency of the proposed method.

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“…Research on centralized control intends to determine dispatch schedules of all switched Sh.Cs, OLTC settings, and reactive power outputs of DGs for the next day based on the day-ahead load forecast [7][8][9][10][11][12][13]. In [7], a fuzzy adaptive particle swarm optimization methodology was proposed to solve the price-based compensation methodology for the daily VVC problem in distribution systems with dispatchable DG units. In [8], an analytic hierarchy process strategy and binary ant colony optimization algorithm were utilized to solve the multiobjective daily VVC of distribution systems.…”

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 fuzzy adaptive particle swarm optimization for daily Volt/Var control in distribution networks considering distributed generators

Cited by 100 publications

References 33 publications

Coordinated Volt/Var Control in Distribution Systems with Distributed Generations Based on Joint Active and Reactive Powers Dispatch

Coordinated Volt/Var Control in Distribution Systems with Distributed Generations Based on Joint Active and Reactive Powers Dispatch

A New Approach to Optimal Allocation of Reactive Power Ancillary Service in Distribution Systems in the Presence of Distributed Energy Resources

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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