Browsing by Author "Pourmousavi Kani, Seyyed Ali"

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Multi-Timescale Power Management for Islanded Microgrids Including Storage and Demand Response
(2015-05) Pourmousavi Kani, Seyyed Ali; Nehrir, M. Hashem; Sharma, R.K.
Power management is an essential tool for microgrid (MG) safe and economic operation, particularly in the islanded operation mode. In this paper, a multi-timescale cost-effective power management algorithm (PMA) is proposed for islanded MG operation targeting generation, storage, and demand management. Comprehensive modeling, cost, and emission calculations of the MG components are developed in this paper to facilitate high accuracy management. While the MGs overall power management and operation is carried out every several minutes to hours, depending on the availability of the required data, simulation for highly dynamic devices, such as batteries and electric water heaters (EWHs) used for demand response (DR), are performed every minute. This structure allows accurate, scalable, and practical power management taking into consideration the intrainterval dynamics of battery and EWHs. Two different on/off strategies for EWH control are also proposed for DR application. Then, the PMA is implemented using the two different DR strategies and the results are compared with the no-DR case. Actual solar irradiation, ambient temperature, nonEWH load demand, and hot water consumption data are employed in the simulation studies. The simulation results for the MG studied show the effectiveness of the proposed algorithm to reduce both MGs cost and emission.
Power management and frequency regulation for microgrid and smart grid : a real-time demand response approach
(Montana State University - Bozeman, College of Engineering, 2014) Pourmousavi Kani, Seyyed Ali; Chairperson, Graduate Committee: M. Hashem Nehrir; Andrew S. Cifala and M. Hashem Nehrir were co-authors of the article, 'Impact of high penetration of PV generation on frequency and voltage in a distribution feeder' in the journal 'IEEE North American power symposium' which is contained within this thesis.; M. Hashem Nehrir was a co-author of the article, 'Real-time central demand response for primary frequency regulation in microgrids' in the journal 'IEEE transactions on smart grid' which is contained within this thesis.; M. Hashem Nehrir was a co-author of the article, 'Real-time optimal demand response for frequency regulation in smart microgrid environment' in the journal 'International conference on power and energy system' which is contained within this thesis.; M. Hashem Nehrir was a co-author of the article, 'Introducing dynamic demand response in the LFC model' in the journal 'IEEE transactions on power systems' which is contained within this thesis.; M. Hashem Nehrir was a co-author of the article, 'LFC-DR model expansion to multi-area power systems' submitted to the journal 'IEEE transactions on power systems' which is contained within this thesis.; Stasha N. Patrick and M. Hashem Nehrir were co-authors of the article, 'Real-time demand response through aggregate electric water heaters for load shifting and balancing intermittent wind generation' in the journal 'IEEE transactions on smart grid' which is contained within this thesis.; M. Hashem Nehrir and Ratnesh K. Sharma were co-authors of the article, 'Ownership cost calculation for distributed energy resources using uncertainty and risk analyses' submitted to the journal 'IEEE Transactions on power systems' which is contained within this thesis.; Ratnesh K. Sharma and Babak Asghari were co-authors of the article, 'A framework for real-time power management of a grid-tied microgrid to extend battery lifetime and reduce cost of energy' in the journal 'IEEE innovative smart grid technologies' which is contained within this thesis.; M. Hashem Nehrir, Christopher M. Colson and Caisheng Wang were co-authors of the article, 'Real-time energy management of a stand-alone hybrid wind-microturbine energy system using particle swarm optimization' in the journal 'IEEE transactions on sustainable energy' which is contained within this thesis.; M. Hashem Nehrir and Ratnesh K. Sharma were co-authors of the article, 'Multi-timescale power management for islanded microgrids including storage and demand response' submitted to the journal 'IEEE transactions on smart grid' which is contained within this thesis.
Future power systems (known as smart grid) will experience a high penetration level of variable distributed energy resources to bring abundant, affordable, clean, efficient, and reliable electric power to all consumers. However, it might suffer from the uncertain and variable nature of these generations in terms of reliability and especially providing required balancing reserves. In the current power system structure, balancing reserves (provided by spinning and non-spinning power generation units) usually are provided by conventional fossil-fueled power plants. However, such power plants are not the favorite option for the smart grid because of their low efficiency, high amount of emissions, and expensive capital investments on transmission and distribution facilities, to name a few. Providing regulation services in the presence of variable distributed energy resources would be even more difficult for islanded microgrids. The impact and effectiveness of demand response are still not clear at the distribution and transmission levels. In other words, there is no solid research reported in the literature on the evaluation of the impact of DR on power system dynamic performance. In order to address these issues, a real-time demand response approach along with real-time power management (specifically for microgrids) is proposed in this research. The real-time demand response solution is utilized at the transmission (through load-frequency control model) and distribution level (both in the islanded and grid-tied modes) to provide effective and fast regulation services for the stable operation of the power system. Then, multiple real-time power management algorithms for grid-tied and islanded microgrids are proposed to economically and effectively operate microgrids. Extensive dynamic modeling of generation, storage, and load as well as different controller design are considered and developed throughout this research to provide appropriate models and simulation environment to evaluate the effectiveness of the proposed methodologies. Simulation results revealed the effectiveness of the proposed methods in providing balancing reserves and microgrids' economic and stable operation. The proposed tools and approaches can significantly enhance the application of microgrids and demand response in the smart grid era. They will also help to increase the penetration level of variable distributed generation resources in the smart grid.