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This paper presents a multiobjective (MO) evolutionary algorithm for solving a contingency-based MO design of power distribution system (PDS) by extending the original and powerful metaheuristic approach based on a MO seeker optimization algorithm (MOSOA). Normally, reliability is a major concern in existing PDS planning, as estimation of failure rates and fault repair duration of the feeder branches...
This paper presents an application of a modified Teaching learning based optimization (TLBO) algorithm for reconfiguration of static primary power distribution system. The objective of the proposed work is the minimization of operational cost and maximization of system availability. For feeder reconfiguration purpose the optimal possible connections between the buses are considered to be the design...
Business Continuity Planning entails the policies and procedures that ensures the continuity of the business in an enterprise in case of an unplanned outage. Disaster Recovery is a subset of Business Continuity Planning and it focusses on the continuity of Information Technology systems. Disaster Recovery Planning process involves detailed study of business processes, risk analysis, determination...
This paper highlights an application of a restricted population based multi-objective seeker-optimization-algorithm (MOSOA) for designing integral power distribution system (IPDS) including the grids - the primary(PG) and secondary (SG). The proposes scheme considered both the PG and SG separately along with the factors that couple both problems (PG & SG) such as sharing of the common right of...
This paper presents a new multi-objective optimization methodology, using an evolutionary algorithm for solving a multi-objective design of advanced power distribution system by extending the powerful meta-heuristic approach based on multi-objective seeker optimization algorithm (MOSOA). Normally, reliability issues are of major importance while planning of an advanced power distribution system. This...
This paper presents a minimum spanning tree based graph theoretic approach (MSTB-GT), feeder routing in power distribution network including DGs. Graph theoretic is found to be much simpler and effective solution that significantly reduces the complexities of existing search algorithms and provides the optimal radial path while minimizing the cost. The proposed technique is tested for different topologies...
Most AI systems are effective either for inference or for acting/planning but not for both. The SNePS BDI architecture uses propositional semantic network representations of beliefs, goals, acts, plans, and a representational concept called transformers. Transformers help capture a unified approach to acting and inference. They can be used to represent reasoning rules, reactive desires, desires...
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