{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,19]],"date-time":"2025-09-19T14:20:29Z","timestamp":1758291629348,"version":"3.44.0"},"reference-count":0,"publisher":"Periodica Polytechnica Budapest University of Technology and Economics","issue":"3","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Period. Polytech. Elec. Eng. Comp. Sci."],"abstract":"<jats:p>The disordered integration of high-penetration distributed photovoltaics (DPVs) into smart distribution networks has caused critical challenges including transformer reverse overloading and degraded power quality. Strategically deploying grid-level energy storage systems (ESSs) presents an effective solution to address these issues while enhancing operational efficiency and power quality. This paper proposes a non-cooperative game theory-driven optimal siting and sizing method for DPVs and ESSs in smart distribution networks. A tri-objective optimization model is formulated to mitigate grid vulnerability, reduce power losses, and minimize life-cycle carbon emissions of PV generation. To resolve conflicting interests among multiple stakeholders (DPV owners, ESS operators, and grid companies), a non-cooperative game framework with equilibrium strategies is established. An improved multi-objective particle swarm optimization (IMOPSO) algorithm is developed to solve the Nash equilibrium point that maximizes benefits for all participants. Case studies on IEEE 33 bus and IEEE-69 bus distribution systems demonstrate that the proposed method achieves: 2.43% reduction in grid vulnerability index, 4.29% decrease in network losses, and 44.44% reduction in PV life-cycle carbon emissions\u00a0\u2013\u00a0all while maintaining voltage quality requirements and realizing Pareto-optimal allocation solutions for multi-stakeholder interests.<\/jats:p>","DOI":"10.3311\/ppee.40676","type":"journal-article","created":{"date-parts":[[2025,9,17]],"date-time":"2025-09-17T08:09:10Z","timestamp":1758096550000},"page":"318-333","source":"Crossref","is-referenced-by-count":0,"title":["Multi-objective Site Selection and Capacity Optimization of Distributed PV Energy Storage in Smart Distribution Network Based on Non-cooperative Game"],"prefix":"10.3311","volume":"69","author":[{"given":"Hongshen","family":"Su","sequence":"first","affiliation":[]},{"given":"Tian","family":"Zhao","sequence":"additional","affiliation":[]},{"given":"Yulong","family":"Che","sequence":"additional","affiliation":[]},{"given":"Leijiao","family":"Ge","sequence":"additional","affiliation":[]},{"given":"Xiping","family":"Ma","sequence":"additional","affiliation":[]},{"given":"Yangyang","family":"Zheng","sequence":"additional","affiliation":[]}],"member":"1835","published-online":{"date-parts":[[2025,9,17]]},"container-title":["Periodica Polytechnica Electrical Engineering and Computer Science"],"original-title":[],"link":[{"URL":"https:\/\/pp.bme.hu\/eecs\/article\/download\/40676\/24098","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/pp.bme.hu\/eecs\/article\/download\/40676\/24098","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,18]],"date-time":"2025-09-18T11:23:09Z","timestamp":1758194589000},"score":1,"resource":{"primary":{"URL":"https:\/\/pp.bme.hu\/eecs\/article\/view\/40676"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,9,17]]},"references-count":0,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2025,9,18]]}},"URL":"https:\/\/doi.org\/10.3311\/ppee.40676","relation":{},"ISSN":["2064-5279","2064-5260"],"issn-type":[{"type":"electronic","value":"2064-5279"},{"type":"print","value":"2064-5260"}],"subject":[],"published":{"date-parts":[[2025,9,17]]}}}