Normal boundary intersection and benefit–cost ratio for distributed generation planning

Zangeneh, Ali; Jadid, Shahram; Rahimi-Kian, Ashkan

doi:10.1002/etep.291

Cited by 30 publications

(24 citation statements)

References 20 publications

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“…This can be used by DNO to identify the optimal location ans size of DG units as a guide for DG investors and steer their decisions. The DGowned category has been highly investigated in the literature like [2], [10], [11]. Few literature deal with 3 unbundled DNO like [12]- [14].…”

Section: B Literature Reviewmentioning

confidence: 99%

Imperialist competition algorithm for distributed generation connections

Soroudi

Ehsan

2012

IET Gener. Transm. Distrib.

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This paper proposes an Imperialist Competition Algorithm (ICA) to maximize the benefits of distribution network operators (DNOs) accrued due to presence of distributed generation (DG) units in distribution networks.The sum of active loss reduction and network investment deferral incentives has been considered as objective function to be maximized in this study. The optimal location and size of DG units in the network are found considering various techno-economical issues. The application of the proposed methodology in the UK under current Ofgem financial incentives for DNOs is investigated. The strength of the proposed approach is validated by comparing the obtained results with other methods of the literature.

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Section: B Literature Reviewmentioning

confidence: 99%

Imperialist competition algorithm for distributed generation connections

Soroudi

Ehsan

2012

IET Gener. Transm. Distrib.

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“…These aspects are as follows: active loss reduction [1], reducing the cost of curtailed energy [2], voltage profile improvement [3], enhancing the voltage stability [4], reducing the construction period [5] and reducing the cost of energy purchased from power market [6].…”

Section: Introductionmentioning

confidence: 99%

Multi-objective short-term scheduling of active distribution networks for benefit maximization of DisCos and DG owners considering demand response programs and energy storage system

Abapour

Nojavan

Abapour

2017

J. Mod. Power Syst. Clean Energy

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This paper proposes a multi-objective benefit function for operation of active distribution systems considering demand response program (DRP) and energy storage system (ESS). In the active distribution system, active network management (ANM) is applied so that the distribution system equipment is controlled in real-time status based on the real-time measurements of system parameters (voltages and currents). The multi-objective optimization problem is solved using e-constraint method, and a fuzzy satisfying approach has been employed to select the best compromise solution. Two different objective functions are considered as follows: benefit maximization of distribution company (DisCo); benefit maximization of distributed generation owner (DGO). To increase the benefits and efficient implementation of distributed generation (DG), DGO has installed battery as energy storage system (ESS) in parallel with DG unit. Consequently, DGO decides for the battery charging/discharging. DisCo has the ability to exchange energy with the upstream network and DGO. Also, DisCo focuses to study the effect of demand response program (DRP) on total benefit function and consequently its influence on the load profile has been discussed. This model is successfully applied to a 33-bus radial distribution network.

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“…In centrally controlled investment, Distribution Network Operator (DNO) is responsible for DG investment in distribution network. In these models, the optimal investment and operating of DG units is calculated and run by DNO [3], [7]. In contrast with centrally controlled investment, the DG investment under unbundling rules is not the duty of DNO and he is just responsible for maintaining the fair access and efficiency of distribution network.…”

Section: Introductionmentioning

confidence: 99%