Optimization Techniques for Operationand Control of Microgrids � Review

Abstract

Microgrid systems show great promise in integrating large numbers of distributed generation systems, based on renewable energy sources into future power systems. The characteristics of power generated by renewable energy sources is random, unregulated and highly unreliable, vowing to the stochastic nature of the sources like wind, solar etc. While integrating the locally generated power into grid sounds very attractive, there are many operational and planning concerns. Also, a major chunk of power generated is weather dependent, this makes an energy storage system and/or backup power generation system an imperative part of microgrids. A proper planning and designing is the first step towards integrated power. Optimization techniques justify cost of investment of a Microgrid by enabling economic and reliable usage of resources. This paper summarizes various optimization methodologies and criterion for optimization of Microgrids. Extensive study of published literature show that computational alternatives like evolutionary, heuristic and non-classical algorithms show better results when compared to other conventional methods. The study of multi-objective optimization problems shows superior performance by combining intelligent optimization algorithms with adaptive techniques.

Development of a system model for the functioning of distribution electrical supply systems in transport infrastructure projects

“…The database contains in general the following information: -technological processes of repair and current mainte nance of RFE and the relationship of these processes; -the structure of the parameters of the goals, their relationship, dependence on the state of production processes; -mechanisms of interaction of work performers with each other in the process of performing technological operations. Formation, storage and updating of information in the management system should be organized in such a way as to provide the ability to quickly conduct a system analysis of various situations, the ability to form the most effective management decisions [10,11].…”

A Brief Description on Optimization Techniques

“…For problems with no restrictions, the differential calculus technique is regarded to be the best way to arrive to an optimum solution. When dealing with constraints, you have two options: differential calculus approaches or search methods [3][4][5] [6] .…”

Approaches to Building AC and AC–DC Microgrids on Top of Existing Passive Distribution Networks

“…The problems of optimal power flow and scheduling are applied problems and are solved by implementing control algorithms in the microgrid ACS, which can be updated (changed) during operation [97,98]. Unlike them, the problem of planning is of a fundamental nature, as it ensures the minimization of investment costs for the creation and expansion of microgrids.…”