A Review of Optimal Planning Active Distribution System: Models, Methods, and Future Researches
نویسندگان
چکیده
Due to the widespread deployment of distributed energy resources (DERs) and the liberalization of electricity market, traditional distribution networks are undergoing a transition to active distribution systems (ADSs), and the traditional deterministic planning methods have become unsuitable under the high penetration of DERs. Aiming to develop appropriate models and methodologies for the planning of ADSs, the key features of ADS planning problem are analyzed from the different perspectives, such as the allocation of DGs and ESS, coupling of operation and planning, and high-level uncertainties. Based on these analyses, this comprehensive literature review summarizes the latest research and development associated with ADS planning. The planning models and methods proposed in these research works are analyzed and categorized from different perspectives including objectives, decision variables, constraint conditions, and solving algorithms. The key theoretical issues and challenges of ADS planning are extracted and discussed. Meanwhile, emphasis is also given to the suitable suggestions to deal with these abovementioned issues based on the available literature and comparisons between them. Finally, several important research prospects are recommended for further research in ADS planning field, such as planning with multiple micro-grids (MGs), collaborative planning between ADSs and information communication system (ICS), and planning from different perspectives of multi-stakeholders.
منابع مشابه
A Review on Energy Storage Systems Planning in Active Distribution Networks and its Applications
With the restructuring of power systems, increase of renewable energy sources, and as networks become smarter, power systems are facing new challenges such as uncertainty in available energy resources. An appropriate solution to address these challenges are to use energy storage systems. Therefore, sizing, location, and selection of energy storage systems are important to maximize their benefit...
متن کاملSmart City as an Smart Energy Hub: A Bibliographic, Analytic and Structural Review
Energy supply is one of the main challenges of the present century. Population growth, rising energy demand, fossil fuel scarcity, and environmental concerns have made energy security as major issue for all countries in the world. Traditional power system, including low-efficiency generation, long-distance transmission and then a complex distribution system, face various challenges that make it...
متن کاملDistributed Generation Expansion Planning Considering Load Growth Uncertainty: A Novel Multi-Period Stochastic Model
Abstract – Distributed generation (DG) technology is known as an efficient solution for applying in distribution system planning (DSP) problems. Load growth uncertainty associated with distribution network is a significant source of uncertainty which highly affects optimal management of DGs. In order to handle this problem, a novel model is proposed in this paper based on DG solution, consideri...
متن کاملA review on West African Ebola epidemic dynamics models
Background and aims: The world is threatened by disease outbreak that reaches a public health emergency of international concern, studies to inform public and agencies for effective containment strategy are necessary. Several studies provided vital information of the dynamics and control of Ebola epidemic outbreak in West Africa. Methodologies and techniques in those researches...
متن کاملEconomic Evaluation of Optimal Capacitor Placement in Reconfiguration Distribution System Using Genetic Algorithm
Optimal capacitor placement, considering power system loss reduction, voltage profile improvement, line reactive power decrease and power factor correction, is of particular importance in power system planning and control. The distribution system operator calculates the optimal place, number and capacity of capacitors based on two major purposes: active power loss reduction and return on invest...
متن کامل