Two-level planning for coordination of energy storage systems and wind-solar-diesel units in active distribution networks

The optimal operation strategy of active distribution networks is investigated by this paper. The energy storage system (ESS) and distributed generation (DG) are utilized in the proposed planning. The paper presents two-level planning including short term and long term planning. The long term planni...

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Veröffentlicht in:Energy (Oxford) Jg. 151; S. 954 - 965
Hauptverfasser: Mahdavi, Sajad, Hemmati, Reza, Jirdehi, Mehdi Ahmadi
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Oxford Elsevier Ltd 15.05.2018
Elsevier BV
Schlagworte:
Active distribution network
Algorithms
cost effectiveness
Depth of discharge
Design optimization
Diesel
Discharge
Distributed generation
Electricity generation
Energy
Energy storage
Energy storage system
Generations
Integer programming
Long term planning
Mixed integer
Networks
Objective function
Optimization
Photovoltaic cells
Photovoltaics
planning
Reactive power
Short term planning
Solar cells
Solar energy
Stochastic planning
Storage systems
uncertainty
wind
Stochastic planning
Short term planning
Distributed generation
Active distribution network
Energy storage system
Depth of discharge
ISSN:0360-5442, 1873-6785
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Zusammenfassung:The optimal operation strategy of active distribution networks is investigated by this paper. The energy storage system (ESS) and distributed generation (DG) are utilized in the proposed planning. The paper presents two-level planning including short term and long term planning. The long term planning installs ESSs and diesel DGs on the network and the short term one determines an hourly optimal operation strategy for ESSs and diesel DGs. Different types of DG including solar photovoltaic (PV), wind, and diesel are studied at the same time. The objective function of the planning is to minimize annual operation cost of distribution network subject to security constraints of the network. The uncertainty of solar-wind units is estimated by many scenarios and stochastic programming is carried out to solve the problem. The proposed problem is expressed as a nonlinear mixed integer programming and solved by modified PSO algorithm. In order to cope with the real conditions, reactive power of ESSs and diesel DGs are included in the problem. Depth of discharge is also considered as a design variable and optimized for ESSs. The planning optimizes a large number of design variables at the same time including size and location of ESSs and diesel DGs, daily operation of diesel DGs, daily charging-discharging pattern of ESSs, and optimal depth of discharge for ESSs. The results demonstrate that the proposed two-level planning can effectively reduce cost and losses as well as increase efficiency and performance of the network. •A short-term planning is carried out together with long term planning.•Long term planning optimally installs distributed generations and batteries.•Short term planning optimizes hourly operation of generation units and batteries.•Active-reactive powers are considered for distributed generations and batteries.•Depth of discharge is considered as a design variable and optimized for batteries.
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ISSN:0360-5442
1873-6785
DOI:10.1016/j.energy.2018.03.123