Smart Microgrid Bidding

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.

How can a stochastic scheduling technique improve microgrid operation?

A stochastic scheduling technique that optimizes short-term microgrid operation, reducing costs and pollution through renewable resources is introduced. Utilizing demand response programs among residential, commercial, and industrial participants is proposed to counter the uncertainty of renewable resource-generated power.

What is a radial smart microgrid (MG)?

The proposed strategy is implemented on a 33-bus radial smart Microgrid (MG) [ 37 ]. The grid operates at a base power of 0.5 MV A and a voltage of 12.66 kV. The permissible voltage range is set between 0.9 and 1.04 per unit. The MG in this study consists of three types of consumers: residential, commercial, and industrial.

How many load models are there in a microgrid network?

Five load models, including linear, logarithmic, exponential, power, and hyperbolic, are derived for each price-based demand response program. Additionally, to address the variability of renewable generation in the microgrid network, stochastic-based scenario modeling is applied.

How do Dr aggregators achieve the best bidding strategy?

In Ref. [ 29 ], a game theory method is used to achieve the best bidding strategy for DR aggregators. Each DR aggregator manages a large number of home subscribers through DR program. An incentive contract is concluded between each customer and the aggregator in exchange power for encouraging customers to participate in the DR program.

What is Advanced Metering Infrastructure (AMI)?

The presence of Advanced Metering Infrastructure (AMI) is among the most necessary infrastructures of the smart system for implementing the advanced planning of DERs for the economic and secure operation of future distribution systems [ 2 ].