An economy-oriented DG-based scheme for reliability improvement and loss reduction of active distribution network based on game-theoretic sharing strategyShow others and affiliations
2021 (English)In: Sustainable Energy, Grids and Networks, E-ISSN 2352-4677, Vol. 27, article id 100514Article in journal (Refereed) Published
Abstract [en]
This paper presents a techno-economic strategy for reliability improvement and loss reduction in active distribution networks and microgrids including distributed generations (DGs). This approach is a theoretical method stand on the determination of locational marginal price in each bus including DGs. In this method, each DG is a player of game theory considering its effect on mitigated loss and enhanced reliability. In this proposed approach, each player receives an economic incentive in case of incremental price using a fair method based on the game theory. To illustrate, DGs that vary their generations with the desired objectives of the network will receive incentives in terms of incremental price in selling energy and obtaining more benefits. Moreover, to attain a feasible realistic structure, the uncertainties of loads are studied. In addition, as an approach for controlling the operation of the network, the suggested approach should supervise the contribution of DGs in incentives allocation which leads to meeting each network's goals based on their contributions in the pricing approach. Validation of the proposed method is performed based on testing the Taiwan Power Company (TPC) network. The significant outcomes show that the lines loss of the network are reduced by 56% and the reliability improvement percentage is 14%.
Place, publisher, year, edition, pages
ELSEVIER , 2021. Vol. 27, article id 100514
Keywords [en]
Loss reduction, Reliability improvement, Energy pricing, Microgrid, Game theory
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-300826DOI: 10.1016/j.segan.2021.100514ISI: 000687444900014Scopus ID: 2-s2.0-85111057186OAI: oai:DiVA.org:kth-300826DiVA, id: diva2:1598694
Note
QC 20210929
2021-09-292021-09-292022-07-11Bibliographically approved