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Development of a New Operation Strategy Enabling Transactions of Flexibility Among Households for a Residential Neighborhood
handle: 11363/5243
This study proposes a novel energy management strategy for residential neighborhoods that enables peer-to-peer energy transactions among households without the need for energy storage or distributed generation. The proposed strategy is based on a Mixed-Integer Linear Programming (MILP) optimization model that minimizes the overall cost per household, including energy consumption cost, flexibility procurement cost, flexibility selling gain, and penalty cost caused by exceeding the limits. The strategy aims to optimize the energy consumption and production patterns of households with just inverter-based air conditioner loads, while also ensuring that the overall load limit for the neighborhood is not exceeded during certain periods. The results of the MILP-based optimization model demonstrate that the proposed strategy can significantly reduce the overall cost per household, providing a more efficient and costeffective energy system for residential neighborhoods. The strategy utilizes a flexible energy trading platform, with a pricing mechanism designed to incentivize households to optimize their energy consumption and production patterns and support the transition to a low-carbon energy future.
Bu çalışmada, enerji depolama veya dağıtık üretim ihtiyacı olmadan evsel bir mahalli olan için evler arası enerji işlemlerine olanak tanıyan yeni bir enerji yönetimi stratejisi önermektedir. Önerilen strateji, enerji tüketim maliyeti, esneklik sağlama maliyeti, esneklik satış kazancı ve limitleri aşmadan kaynaklanan ceza maliyeti de dahil olmak üzere, genel maliyeti ev başına en aza indiren Karışık Tamsayılı Lineer Programlama optimizasyon modeline dayanmaktadır. Strateji, sadece inverter tabanlı klima yükleri ile evlerin enerji tüketim ve üretim desenlerini optimize etmeyi amaçlarken, aynı zamanda belirli dönemlerde mahalle genel yük limitinin aşılmamasını da sağlamaktadır. Karışık Tamsayılı Lineer Programlama tabanlı optimizasyon modelinin sonuçları, önerilen stratejinin ev başına genel maliyeti önemli ölçüde azaltabileceğini, böylece evsel mahalli alanlar için daha verimli ve maliyet etkin bir enerji sistemi sağlayabileceğini göstermektedir. Strateji, esnek bir enerji ticaret platformu kullanmakta ve düşük karbonlu bir enerji geleceğine geçişi desteklemek için tasarlanmış bir fiyatlandırma mekanizması ile evlerin enerji tüketim ve üretim desenlerini optimize etmelerini teşvik etmektedir.
İnverter tabanlı klimalar, Engineering, Inverter air-conditioners, Evsel mahalli alan, Enerji yönetimi, Energy management;Flexibility trading;Inverter air-conditioners;Residential neighborhood, Esneklik ticareti, Mühendislik, Energy management, Flexibility trading, Enerji yönetimi;Esneklik ticareti;Evsel mahalli alan;İnverter tabanlı klimalar, Residential neighborhood
İnverter tabanlı klimalar, Engineering, Inverter air-conditioners, Evsel mahalli alan, Enerji yönetimi, Energy management;Flexibility trading;Inverter air-conditioners;Residential neighborhood, Esneklik ticareti, Mühendislik, Energy management, Flexibility trading, Enerji yönetimi;Esneklik ticareti;Evsel mahalli alan;İnverter tabanlı klimalar, Residential neighborhood
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
