The Development and Empirical Evaluation of the Korean Smart Distribution Management System

Abstract

This paper introduces the development and actual test results of the Korean Smart Distribution Management System (KSDMS). The KSDMS has been designed and developed to cope with the lack of interconnection capability of the Dispersed Energy Resource (DER), to provide standardization and compatibility, and to implement automatic processing of service restoration, in the existing Distribution Automation System (DAS) in Korea. First, real-time system analysis and control application programs were developed, to solve the problems of the existing DAS; and the Distribution Management System (DMS) platform was developed, to run the developed application programs. Second, international standard-based communication, platform, and database structures were adopted, for standardization and compatibility. Third, a platform and application program functions were developed to process faults automatically; and a communication device and an intelligent electronic device (IED) were developed to automate fault restoration, through communication between devices. The KSDMS was evaluated by three tests: unit function test, platform and application program integration test, and empirical test. The first two were conducted on both small and large demonstration systems. The empirical test was performed at the Power Testing Center (PTC) in Gochang, and on a real system, at the Korea Electric Power Corporation (KEPCO), on Jeju Island. The test results verified that the KSDMS can actively resolve the problems of the existing DAS. OPEN ACCESSEnergies 2014, 7 1333

Fault Location Method Using Phasor Measurement Units and Short Circuit Analysis for Power Distribution Networks

“…It estimated a fault location to 100% in all cases. Various load estimation methods were proposed, as the Ref [1]. Therefore, it was considered that the occurrence of a slight error by load estimation methods would not be a big problem in the application of the proposed method.…”

“…For the small-capacity DERs, the output ratio of large-capacity DERs was applied. It was assumed that the load is calculated by the conventional estimation method [1,15]. This assumed load value includes a certain amount of estimation error.…”

“…The accuracy of the fault detection and location, the speed of the isolation and service restoration are very important to the operational reliability of power companies. Therefore, power utilities greatly emphasize techniques for minimizing the outage area of customers through fast detection and precise location of faults [1]. Traditionally, the estimation of fault location was conducted by restricted information as fault indication signals and operators to isolate the faulted section and restore the outage areas.…”

Optimal Bidding Strategy for Renewable Microgrid with Active Network Management

“…ANM can be a solution to these operational problems. ANM is a smart-grid technology that enables a MGO to measure the state of each bus, such as the voltage and angle, in real-time; calculate the optimal dispatch of resources considering the network conditions and physical constraints; and then deliver the dispatched signals to resources through a communication infrastructure [12][13][14][15]. Therefore, a MGO with ANM is able to stably and efficiently operate a renewable MG by optimally curtailing the outputs of RDGs and loads and scheduling the active/reactive powers of BESSs without violating physical constraints.…”

“…The above real-time adjustments of the MGO can be realized through Active Network Management (ANM) [12][13][14][15]. Owing to the real-time adjustments using ANM, the power flow in the line connecting the main grid and MG can deviate significantly from the submitted bid, which is obtained according to the bidding strategies proposed in [10,11].…”