Microgrids participate in demand-side management

What is demand-side management in microgrid control systems?

Demand-side management is a powerful tool that facilitates the process of transforming conventional microgrids into green systems. In this chapter, demand-side management in microgrid control systems is investigated from various perspectives. First, the history of demand-side management is briefly presented and basic concepts are introduced.

Does microgrid energy management system provide grid peak shaving?

Shen J, Jiang C, Liu Y, Qian J (2016) A microgrid energy management system with demand response for providing grid peak shaving. Electr Power Compon Syst 44 (8):843–852 Shewale A, Mokhade A, Funde N, Bokde ND (2020) An overview of demand response in smart grid and optimization techniques for efficient residential appliance scheduling problem.

Can demand-side management reduce power generation uncertainties from wind turbines and photovoltaics?

Numerical findings unequivocally underscore demand-side management potency in reducing power generation uncertainties from wind turbines and photovoltaics. This paper offers insights into microgrid energy management complexities, paving the way for resilient, cost-effective, and environmentally conscious energy distribution paradigms. 1.

How many participants are involved in a microgrid system design?

It has been used in multiple microgrid system design for a market operator and distribution network operator [42 ]. Three participants are considered: microgrids, a power grid, and an ISO. The relationship among these three participations is shown in Fig. 7.14, in which three microgrids ( N = 3) and two energy storage systems (Ns = 2) are involved.

Can weather forecasts improve energy management in residential microgrids?

A model predictive control strategy based on weather forecasts is offered to reduce the amount of energy required and improve the utilization of renewable energy sources for energy management in residential microgrids. The established MPC control approach is based on a constrained optimal control problem for a certain time horizon.

How to solve microgrid energy management problem?

Additionally, to address the variability of renewable generation in the microgrid network, stochastic-based scenario modeling is applied. The recently introduced sparrow search method, a swarm intelligence-based algorithm, is utilized to solve the proposed microgrid energy management problem for the first time in the literature.