6533b860fe1ef96bd12c3203

RESEARCH PRODUCT

Incremental heuristic approach for meter placement in radial distribution systems

Enrico TelarettiValentina CosentinoAntonio CataliottiNicola PanzavecchiaSalvatore GuaianaGiovanni TineGiovanni ArtaleDario Di Cara

subject

Mathematical optimizationControl and OptimizationComputer scienceHeuristic (computer science)020209 energyOptimal meter placementEnergy Engineering and Power Technology02 engineering and technologySmart gridlcsh:Technology0202 electrical engineering electronic engineering information engineeringMetrePower-flow studyInstrumentation (computer programming)Electrical and Electronic EngineeringEngineering (miscellaneous)optimal meter placement; smart grid; load flow analysis; Monte Carlo methodsRenewable Energy Sustainability and the Environmentlcsh:T020208 electrical & electronic engineeringMonte Carlo methodsLoad flow analysisPower (physics)Monte Carlo methodSmart gridLoad flow analysiSettore ING-INF/07 - Misure Elettriche E ElettronicheEnergy (miscellaneous)

description

The evolution of modern power distribution systems into smart grids requires the development of dedicated state estimation (SE) algorithms for real-time identification of the overall system state variables. This paper proposes a strategy to evaluate the minimum number and best position of power injection meters in radial distribution systems for SE purposes. Measurement points are identified with the aim of reducing uncertainty in branch power flow estimations. An incremental heuristic meter placement (IHMP) approach is proposed to select the locations and total number of power measurements. The meter placement procedure was implemented for a backward/forward load flow algorithm proposed by the authors, which allows the evaluation of medium-voltage power flows starting from low-voltage load measurements. This allows the reduction of the overall costs of measurement equipment and setup. The IHMP method was tested in the real 25-bus medium-voltage (MV) radial distribution network of the Island of Ustica (Mediterranean Sea). The proposed method is useful both for finding the best measurement configuration in a new distribution network and also for implementing an incremental enhancement of an existing measurement configuration, reaching a good tradeoff between instrumentation costs and measurement uncertainty.

yearjournalcountryeditionlanguage
2019-10-16
10.3390/en12203917http://www.cnr.it/prodotto/i/412188