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access icon free Stochastic multi-objective framework for optimal dynamic planning of interconnected microgrids

© The Institution of Engineering and Technology
Received 26/04/2017, Accepted 30/08/2017, Revised 10/07/2017, Published 01/09/2017

This paper proposes a new stochastic multi-objective framework for optimal dynamic planning of interconnected microgrids (MGs) under uncertainty from economic, technical, reliability and environmental viewpoints. In the proposed approach, optimal site, size, type, and time of distributed energy resources are determined along with optimal allocation of section switches to partitioning conventional distribution system into a number of interconnected MGs. The uncertainties of the problem are considered using scenario modelling and backward scenario reduction technique is implemented to deal with computational burden. In addition, three different risk averse, risk neutral and risk seeker strategies are defined for distribution network operator. The proposed framework is considered as two unparalleled objective functions which the first objective minimizes the investment cost, operation and maintenance cost, power loss cost and pollutants emission cost and the second objective is defined to minimize energy not supplied in both connected and islanded modes of MGs. Finally, multi objective particle swarm optimization is applied to minimize the proposed bi-objective functions and subsequently fuzzy satisfying method is accomplished to select the best solution proportional to risk based strategies. Efficiency of the proposed framework is validated on 85-bus distribution system and obtained results are presented and discussed.

Inspec keywords: power semiconductor switches; stochastic programming; distributed power generation; risk management; particle swarm optimisation; power generation economics; power generation planning; fuzzy set theory; load management; power system interconnection; renewable energy sources; power generation reliability; distribution networks; cost reduction

Other keywords: interconnected MG; stochastic multiobjective framework; risk-averse strategy; optimal type; dispatchable units; scenario modelling; risk-seeker strategy; multiobjective particle swarm optimisation; renewable power generation uncertainty; power loss cost minimisation; fuzzy satisfying method; energy storage system; distribution system; distributed generation; investment cost minimisation; risk-neutral strategy; optimal section switches allocation; biobjective functions; optimal site; distribution network operator; backward scenario reduction technique; interconnected microgrids; distributed reactive sources; load consumption uncertainty; pollutants emission cost minimisation; optimal time; operation-and-maintenance cost minimisation; optimal dynamic planning; optimal size

Subjects: Power system management, operation and economics; Distribution networks; Energy resources; Relays and switches; Combinatorial mathematics; Optimisation techniques; Distributed power generation; Reliability; Power semiconductor devices; Power system planning and layout

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