برنامه ریزی توسعه پویای شبکه های توزیع در حضور منابع تولید پراکنده با استفاده از یک الگوریتم بهینه سازی جدید دو سطحی

نویسندگان

دانشگاه سمنان

چکیده

در این مقاله یک مدل پویا (دینامیک) جهت طرح برنامه ریزی توسعه سالانه شبکه های توزیع با در نظر گرفتن امکان استفاده از فناوری های تولید پراکنده انرژی الکتریکی ارائه گردیده است. مدل پیشنهادی، مکان، ظرفیت و زمان مناسب استفاده از فناوری های تولید پراکنده و همچنین برنامه زمانی افزایش ظرفیت خطوط شبکه را مشخص می کند. تابع هدف مدل پیشنهادی شامل مجموع هزینه های سرمایه گذاری و بهره برداری در طول یک دوره زمانی مشخص می باشد. جهت حل مساله معرفی شده از یک روش حل دو سطحی حاصل از ترکیب الگوریتم باینری و تقویت شده رقابت استعماری و الگوریتم بهبود یافته اجتماع ذرات استفاده گردیده است. بطوریکه در سطح اول این روش حل، هزینه های سرمایه گذاری طرح به کمک الگوریتم رقابت استعماری باینری و تقویت شده بهینه گردیده و در سطح دوم، الگوریتم بهبود یافته اجتماع ذرات، هزینه های بهره برداری را بهینه می سازد. در نهایت، مدل پیشنهادی بر روی یک شبکه توزیع نمونه پیاده سازی شده و نتایج حاصل از آن از طریق مقایسه با نتایج دیگر روشهای حل دو سطحی مورد تحلیل قرار گرفته است.

کلیدواژه‌ها


عنوان مقاله [English]

Dynamic expansion planning of power distribution grids with distributed generation resources using a new two-level optimization algorithm

نویسندگان [English]

  • Masoud Ahmadigorji
  • Nima Amjady
چکیده [English]

This paper presents a comprehensive model for dynamic expansion planning of distribution grids (DDGEP) considering distributed generation technologies. The proposed model determines the optimal location, capacity and dynamics (i.e. timing) of DG investment as well as optimal time schedule of reinforcement of distribution feeders. The objective function of this model encompasses both investment and operation costs of distribution grids and DG units along a specified planning horizon. To solve the suggested model, a new two-level solution method composed of Binary Enhanced Imperialist Competition Algorithm (BEICA) and Improved Particle Swarm Optimization (IPSO) is introduced. BEICA optimizes the location, capacity and timing of DG investment and also timing of existing feeders' reinforcement while IPSO optimizes the operation point of distributed generator-integrated distribution system. In order to demonstrate the effectiveness of proposed two-level solution approach (BEICA+IPSO), it is applied on a radial distribution test system and the obtained results are compared with several other solution methods.

کلیدواژه‌ها [English]

  • Distribution grid
  • Dynamic expansion planning
  • Distributed generation
  • Imperialist competitive algorithm
  • Particle swarm optimization

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