Optimisation‐based switch allocation to improve energy losses and service restoration in radial electrical distribution systems

López, Juan Camilo; Rider, Marcos J.

doi:10.1049/iet-gtd.2015.1509

Cited by 40 publications

(40 citation statements)

References 35 publications

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“…Step 2 -This step is similar to the reconfiguration problem solution. After determining candidates of system switches, the algorithm determines the best configuration of the DS using the identified two objectives mentioned in equations (4) and (8) including all logical and technical constraints. The system configuration, in this paper is determined using the GA.…”

Section: Solution Methodologymentioning

confidence: 99%

“…(1) To sectionalize radial distribution feeders, for the purpose of limiting outage durations by limiting the number of customers out of service during faults [2], (2) To tie more than one feeder for the purpose of creating open loop topologies to facilitate power restoration during contingencies [3], and (3) To reconfigure the DS for minimization of active power (and energy) losses in the DS during normal operations [4]. While the first and the second goals play a role only in improving the System Performance (SP), the third goal will impact the System Operational Flexibility (SOF) in addition to overall system financial performance.…”

Section: Introductionmentioning

confidence: 99%

“…Strategically selecting the location of switches in the DS and, perhaps automating some or all of them, plays a role in maximizing the value of certain objectives [5]. Commonly used objectives, in past research, often included maximization of reliability [6], minimization of switch capital and running costs [7], minimization of cost of outages [8], minimization of total Expected Energy Not Served (EENS) and minimization of system losses [4]. Combinations of these objectives have been used in the past as the main interest of researchers around the subject of SA in DSs.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A New Distribution System Performance Approach to the Switch Allocation Problem Under Smart Grid Framework

et al. 2018

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This paper proposes a new vision of the Distribution System Switch Allocation problem considering new system performance measures. The mathematical model has been rebuilt with a new aggregated multi-objective formula, minimizing a newly developed performance index while achieving minimum annual energy lost. A new practical weighted combined system performance index, consisting of Reliability, Resiliency and Vulnerability, is applied and tested to be used by utilities replacing the common simple reliability index combination. The new model uses mixed integer design variables to determine the number, location and status of switches. A set of eight logical and technical constraints was applied to provide the best description of the real existing system constraints. A new algorithm of checking the system radial topology is also applied to the problem. The problem was solved using the Genetic Algorithm and was tested on a 54-bus real distribution test system, deemed more complicated than the test systems found in literature, to demonstrate its validity and effectiveness in real life systems.

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Section: Solution Methodologymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A New Distribution System Performance Approach to the Switch Allocation Problem Under Smart Grid Framework

et al. 2018

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“…Finally, methods [22,[33][34][35][36][37][38][39][40][41][42][43][44][45][46][47][48] consider optimal placement of switching devices using a single, weighted objective function. Approaches [22,[33][34][35][36][37][38][39][40][41][42][43][44][45][46] combine switch investments and customer outage costs, whilst minimization of investments subject to maximized restored load is done in [47,48]; the disadvantages are similar as before. It is worth noting that the sophisticated optimization model in [49] offers a CI-CML improvement method that is close to reality; however it is limited to solving the network reconfiguration on a specific, non-general network due to model complexity.…”

Section: Setsmentioning

confidence: 99%

Operational Planning of Distribution Networks Based on Utility Planning Concepts

Mansor

Leví

2019

IEEE Trans. Power Syst.

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The paper presents the operational planning of medium voltage (11 kV; 6.6 kV) distribution networks that is an integral part of the previously developed integrated planning approach based on utility planning concepts. The operational planning problem is decoupled from the investment planning stage and it is further divided into two phases, the quality of supply (QoS) planning and the minimization of operational costs. The QoS planning maximizes the benefits of the regulatory incentive regime by installing and automating switchgear, as well as finding optimal normally open points (NOPs). It is solved in two ways, by applying genetic algorithm (GA) optimization and then the approach based on engineering rules. Operational cost minimization considers costs of O&M, switching, losses and reliability. It includes security constraints for radially operated networks and allows that the locations of new switchgear from the QoS stage are changed. The simplified version of the model is also intended to be used as a real-time network reconfiguration tool. The entire methodology is tested on the 69-bus test system.

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“…DG and capacitor locations were proposed for power losses reduction and ameliorating voltage profiles in distribution system [7]. In addition, switching devices allocation was analyzed in order to gain power loss reduction as well as service restoration [8]. Moreover, various methods were proposed in an area of DG units siting and sizing [9]- [11].…”

Section: Introductionmentioning

confidence: 99%

Optimal Generation Scheduling of Power System for Maximum Renewable Energy Harvesting and Power Losses Minimization

Banhthasit¹,

Jamroen²,

Dechanupaprittha³

2018

IJECE

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This paper proposes an optimal generation scheduling method for a power system integrated with renewable energy sources (RES) based distributed generations (DG) and energy storage systems (ESS) considering maximum harvesting of RES outputs and minimum power system operating losses. The main contribution aims at economically employing RES in a power system. In particular, maximum harvesting of renewable energy is achieved by the mean of ESS management. In addition, minimum power system operating losses can be obtained by properly scheduling operating of ESS and controllable generations. Particle Swam Optimization (PSO) algorithm is applied to search for a near global optimal solutions. The optimization problem is formulated and evaluated taking into account power system operating constraints. The different operation scenarios have been used to investigate the effective of the proposed method via DIgSILENT PowerFactory software. The proposed method is examined with IEEE standard 14-bus and 30-bus test systems.

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Optimisation‐based switch allocation to improve energy losses and service restoration in radial electrical distribution systems

Cited by 40 publications

References 35 publications

A New Distribution System Performance Approach to the Switch Allocation Problem Under Smart Grid Framework

A New Distribution System Performance Approach to the Switch Allocation Problem Under Smart Grid Framework

Operational Planning of Distribution Networks Based on Utility Planning Concepts

Optimal Generation Scheduling of Power System for Maximum Renewable Energy Harvesting and Power Losses Minimization

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