Optimal Power Distribution Planning Using Improved Particle Swarm Optimization

Kumari, Mandeep; Ranjan, Rakesh

doi:10.18201/ijisae.2018644773

Cited by 3 publications

(1 citation statement)

References 14 publications

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“…In some cases, due to additional constraints, none of the relaxations/approximations mentioned hitherto suffices. In those cases, metaheuristic algorithms like GA [76][77][78][79][80][81][82][83][84][85][86], PSO [87][88][89][90][91][92][93][94], or other non-linear solvers like IPOPT can be used to solve the problem. The level of detail and tightness of the model usually follows an opposite pattern of ease of solving.…”

Section: Classification According To Formulation Structurementioning

confidence: 99%

An analysis of distribution planning under a regulatory regime: An integrated framework

Verma

2023

Energy Conversion and Econom

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Distribution system planning is a multifaceted topic involving financial, regulatory, and system level analysis. The wide nature of the topic warrants a holistic study considering all aspects of analysis. The distribution utility is a natural monopoly that is subjected to utility regulation. The regulator can impact customer experience by strategically influencing the planning decisions of the utility. Hence, this paper reviews the existing utility regulation methods in the context of the distribution system and their efficacy in improving certain reliability and efficiency objectives. A two‐bus system is used to demonstrate the impact of classical models in alleviating reliability and efficiency issues through demand response. Further, a review is conducted on distribution system planning models without a regulatory regime, and suitable models for holistic analysis are identified. A two‐person complete information regulator and utility game with a comprehensive distribution system model at the lower level is proposed. A framework based on the Mixed Integer Bilevel Linear Program (MIBLP) is discussed to find the equilibrium point of the proposed game.

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Section: Classification According To Formulation Structurementioning

confidence: 99%

An analysis of distribution planning under a regulatory regime: An integrated framework

Verma

2023

Energy Conversion and Econom

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Applications of artificial intelligence in power system operation, control and planning: a review

Pandey,

Pathak,

Kumar

et al. 2023

Clean Energy

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As different artificial intelligence (AI) techniques continue to evolve, power systems are undergoing significant technological changes with the primary goal of reducing computational time, decreasing utility and consumer costs and ensuring the reliable operation of an electrical power system. AI techniques compute large amounts of data at a faster speed than numerical optimization methods with higher processing speeds. With these features, AI techniques can further automate and increase the performance of power systems. This paper presents a comprehensive overview of diverse AI techniques that can be applied in power system operation, control and planning, aiming to facilitate their various applications. We explained how AI can be used to resolve system frequency changes, maintain the voltage profile to minimize transmission losses, reduce the fault rate and minimize reactive current in distributed systems to increase the power factor and improve the voltage profile.

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