Mohamad Mehdi Bamdadian, Hossein Seifi, Mohammad Kazem Sheikh-El-Eslami,
Volume 13, Issue 1 (4-2016)
Abstract
In this paper, a new model has been introduced for scheduling of a multi-microgrid consisting of low voltage microgrids, distributed generation resources and interruptible loads. In this model, system operator runs its internal market, then by using the results and modeling the upstream market, the internal market is finally cleared based on nodal prices and considering network losses. Furthermore, the model has been extended by introducing the multi-microgrid reactive power market and simultaneous running of active and reactive power markets, to maximize social welfare. Finally, the proposed model has been applied on a test network as a case study in order to evaluate the proposed algorithm.
Mehdi Veisi, Dr Farid Adabi, Dr Abdollah Kavousi-Fard,
Volume 20, Issue 4 (12-2023)
Abstract
In this paper, operation of smart distribution network in the presence of the multi-microgrid considering microgrids (MGs) participating in the energy and ancillary services (reactive power and reserve regulation markets) markets is presented. The proposed scheme minimizes difference between MGs cost and their revenue in these markets. Problem constraints include AC optimal power flow equations in the smart distribution networks and multi-microgrid, operation model of sources, storages and demand response. In this problem, there is uncertainty in load, market price, renewable power, and mobile storage. Hence, the stochastic optimization based on unscented transformation method is used to model of these uncertainties. Moreover, this problem is as non-linear. In the following, Ant-lion optimizer uses to achieve optimal solution. Finally, by implement the proposed scheme on the standard networks, the simulation results obtaining from different case studies confirm the capability of the scheme in the improving of networks operation situation with respected to load flow analysis, while it obtains a suitable economic situation for MGs.
