A Generalized Approach for DG Planning and Viability Analysis Under Market Scenario
作者： Naveen Jain , S. N. Singh , S. C. Srivastava
关键词: Unavailability 、 Multi-swarm optimization 、 Probabilistic load flow 、 Monte Carlo method 、 Mathematical optimization 、 Profit (economics) 、 Engineering 、 Particle swarm optimization 、 Perfect competition 、 Incentive
摘要: In this paper, a heuristic approach is considered for the distributed generator (DG) placement to minimize system loss. The constriction-factor particle swarm optimization method used as an tool planning problem. A Monte-Carlo-simulation-based probabilistic load flow proposed find unavailability of DGs in net-present-value analysis electricity-market scenario carried out biomass, wind, solar-photovoltaic, and diesel-engine see their viability under bilateral- competitive market scenarios. Various factors such profit, incentives on capital, replacement, startup, operation, maintenance costs have been taken into account. market-based simple generic, can provide choices distribution utilities select various constraints. effectiveness tested 16-, 33-, 69-bus systems, results are compared with improved analytical suggested literature.
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