Saeed D. Manshadi

ORCID: 0000-0003-4777-9413
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About
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Research Areas
  • Smart Grid Energy Management
  • Optimal Power Flow Distribution
  • Microgrid Control and Optimization
  • Electric Vehicles and Infrastructure
  • Advanced Battery Technologies Research
  • Electric Power System Optimization
  • Power System Reliability and Maintenance
  • Power System Optimization and Stability
  • Integrated Energy Systems Optimization
  • Infrastructure Resilience and Vulnerability Analysis
  • Process Optimization and Integration
  • Smart Grid Security and Resilience
  • Hybrid Renewable Energy Systems
  • Frequency Control in Power Systems
  • Energy Load and Power Forecasting
  • Smart Grid and Power Systems
  • Geotechnical Engineering and Underground Structures
  • Energy Harvesting in Wireless Networks
  • HVDC Systems and Fault Protection
  • Fire effects on ecosystems
  • High-Voltage Power Transmission Systems
  • Oil, Gas, and Environmental Issues
  • Transportation and Mobility Innovations
  • Islanding Detection in Power Systems
  • Vehicular Ad Hoc Networks (VANETs)

San Diego State University
2018-2024

Global Energy Interconnection Research Institute North America
2021

Southern Methodist University
2015-2018

This paper proposed a methodology to identify the vulnerable components, and ensure resilient operation of coordinated electricity natural gas infrastructures considering multiple disruptions within microgrid. The microgrid demands, which consist heat are served by interdependent supplies. approach addressed vulnerability energy carrier microgrids against various interdictions, is used apply preventive reinforcements increase resilience supply decrease cost. formulated as bi-level...

10.1109/tsg.2015.2397318 article EN IEEE Transactions on Smart Grid 2015-02-24

Wireless charging station (WCS) enables in-motion of the electric vehicles (EVs). This paper presents short-term operation WCS by capturing interdependence among electricity and transportation networks. In network, total travel cost consists associated with time utilized along each path. Each EV takes path that minimizes its cost. changes in demand as a result traffic flow pattern impacts price electricity. The further affect strategy EVs pattern. coordination between networks would help...

10.1109/tsg.2017.2661826 article EN IEEE Transactions on Smart Grid 2017-01-31

Public safety power shut-off (PSPS) during potentially dangerous weather conditions is an emergency measure within areas prone to wildfires. While balancing the risk of wildfire ignition and continuation energy supply a short-term operation challenge, this paper explores optimal long-term resilient expansion planning strategies. With quantified ignition, proposed problem maximizes supplied end-users while limiting ignition. The presented scheme provides utility decision-makers with three...

10.1109/tsg.2023.3241103 article EN IEEE Transactions on Smart Grid 2023-01-31

This paper proposed a hierarchical structure for the electricity market to facilitate coordination of energy markets in distribution and transmission networks. The enables integration microgrids, which provide ancillary services In structure, microgrids participate at networks settled by network operator (DNO), load aggregators (LAs) interact with generation companies (GENCOs) import/export to/from from/to wholesale market. approach addressed synergy introducing dynamic game complete...

10.1109/tsg.2015.2428194 article EN IEEE Transactions on Smart Grid 2015-05-25

Transportation electrification is a pivotal factor in accelerating the transition to sustainable energy. Electric vehicles (EVs) can operate either as loads or distributed power resources vehicle-to-grid (V2G) vehicle-to-vehicle (V2V) linkage. This paper reviews status quo and implications of transportation regard environmental benefits, consumer side impacts, battery technologies, sustainability batteries, technology trends, utility self-driving socio-economic benefits. These are crucial...

10.3390/vehicles4040056 article EN cc-by Vehicles 2022-10-06

The variability in the generation dispatch of natural gas units will lead to fluctuation demand profile that could further jeopardize security network. coordinated operation electricity and infrastructure systems would help improve reliability measures both mitigate risk curtailment. network problems are non-convex mixed-integer nonlinear programming hard solve polynomial time. feasible regions formed by Weymouth constraint introduced binary commitment decision variables problems,...

10.1109/tsg.2018.2825103 article EN IEEE Transactions on Smart Grid 2018-04-09

A new solution method is introduced to the problem of optimally deploying manual and automatic switches in distribution systems, where product two continuous variables inverse a variable are reformulated as linear relation. This leads (mixed integer problem) MILP power flow formulation too. The objective function includes cost reliability. term itself capital investment, installation, maintenance costs (MC) well customer interruption (CIC); while reliability represented by system average...

10.1109/tsg.2020.3000315 article EN IEEE Transactions on Smart Grid 2020-06-05

Electricity grid vulnerabilities can lead to outages with prolonged load interruptions. Research activities on the impact of natural disasters power system are underway figure out outage reasons, identify ways prepare for preventive actions, and increase resiliency corrective actions under such scenarios. This paper presented a review methods electricity vulnerability analysis, pre-disaster recovery planning, post-disaster restoration models.

10.1016/j.tej.2020.106864 article EN cc-by-nc-nd The Electricity Journal 2020-11-03

Utilities in California conduct public safety power shut-offs (PSPSs) to eliminate the elevated chances of wildfire ignitions caused by lines during extreme weather conditions. We propose risk aware operation planning problem (WRAP), which enables system operators pinpoint segments network that should be de-energized. Sustained wind and gust can lead conductor clashing, could ignite surrounding vegetation. The 3-D nonlinear vibration equations are employed generate a dataset considers...

10.1109/jsyst.2022.3188300 article EN IEEE Systems Journal 2022-07-26

Electrification is a promising approach to most carbon-emitting sectors of economic human activities such as transportation and industry sectors. Electrifying the machinery different systems used in farm can mitigate carbon footprint agriculture sector if renewable energy sources are coordinated with agricultural loads appropriately. This paper presents road-map that: 1) greenhouse gases emitting food supply chain, 2) potential impact vertical farming on sector, 3) discuss 4) decarbonize gas...

10.1016/j.tej.2022.107076 article EN cc-by-nc-nd The Electricity Journal 2022-01-20

Natural disasters like earthquakes, storms, and floods have an adverse impact on the critical infrastructures operation. The severity of occurred damages infrastructure can be assessed by failure probabilities using fragility curves. In this paper, a <underline xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">S</u> tochastic xmlns:xlink="http://www.w3.org/1999/xlink">I</u> nfrastructure xmlns:xlink="http://www.w3.org/1999/xlink">D</u> amage...

10.1109/tpwrd.2024.3368432 article EN IEEE Transactions on Power Delivery 2024-02-22

This paper presents the expansion planning for data centers and routes in electricity networks considering uncertainties horizon to ensure an acceptable rate of service requests received from end-users network. The objective is determine location capacity as well required while imposed constraints networks. installation cost routes, expected operation centers, are minimized. proposed problem addressed including availability renewable generation resources, variations demand, transmission...

10.1109/tsg.2017.2738444 article EN IEEE Transactions on Smart Grid 2017-08-10

This paper presents an approach to transform the active distribution network with distributed energy resources into multiple autonomous microgrids. The consists of several generation and demand entities, that are clustered proposed problem is formulated as a bi-level optimization leverages Eigen decomposition in graph spectra determine boundaries for microgrids mixed-integer programming minimizes expansion cost within presented evaluated case study considering imposed reliability...

10.1109/tsg.2016.2601448 article EN IEEE Transactions on Smart Grid 2016-01-01

This article presented a convex relaxation approach for the optimal power flow problem. The proposed leveraged second-order cone programming (SOCP) to tackle non-convexity within feasible region of Recovering an solution that is original non-convex problem challenging networks with cycles. main challenge lack constraints present voltage angles cycle. aims fill this gap by presenting constraint enforcing sum over cycle be zero. To end, higher-order moment matrix associated each maximal clique...

10.1109/tsg.2020.3023890 article EN IEEE Transactions on Smart Grid 2020-09-14

Natural gas-fired generation units can hedge against the volatility in uncertain renewable generation, which may occur during very short periods. It is crucial to utilize models capable of correctly capturing natural gas network dynamics induced by volatile demand units. The Weymouth equation commonly implemented literature avoid dealing with mathematical complications solving original governing differential equations dynamics. However, it shown this paper that approach not reliable...

10.1109/tsg.2022.3158232 article EN IEEE Transactions on Smart Grid 2022-03-09

With the increase in investment gas-fired electricity generation technology, capturing operation constraints of natural gas network and problems becomes more crucial. The non-convexity feasibility region formed by will impede achieving global solution for these problems. This letter proposed an algorithm to procure a tight tractable convex relaxation that can be leveraged and/or merit is illustrated using case study efficiency formulation compared with mixed integer linear semidefinite...

10.1109/tsg.2018.2817069 article EN IEEE Transactions on Smart Grid 2018-03-19

This paper presents risk-averse long-term generation maintenance scheduling in the power systems with a considerable installed capacity of microgrids. Microgrid aggregators facilitate participation microgrids wholesale market. In this paper, effect as controllable demand entities on practices system is investigated. The uncertainties marginal cost microgrids, within and electricity are captured using respective nominal values uncertainty intervals. Moreover, contingencies transmission...

10.1109/tsg.2017.2713719 article EN IEEE Transactions on Smart Grid 2017-06-08

A total 19% of generation capacity in California is offered by PV units and over some months, more than 10% this energy curtailed.In research, a novel approach to reduce renewable curtailments increasing system flexibility means electric vehicles' charging coordination represented.The presented problem sequential decision making process, solved fitted Q-iteration algorithm which unlike other reinforcement learning methods, needs fewer episodes learning.Three case studies are validate the...

10.17775/cseejpes.2020.04000 article EN cc-by-nc-nd CSEE Journal of Power and Energy Systems 2021-01-01

In today's world, power outages significantly impact people's lives. Improving the reliability and resiliency of electricity distribution system (EDS) can reduce negative outages. this regard, remote control switches (RCSs) are efficient devices that play a crucial role in enhancing EDSs. However, challenge lies strategically placing these to minimize This paper proposes mixed-integer linear programming (MILP) formulation for optimal allocation RCSs. It considers load uncertainties aims...

10.1016/j.epsr.2024.110462 article EN cc-by-nc Electric Power Systems Research 2024-05-29

Convergence bidding (CB), a.k.a., virtual (VB), is a market mechanism facilitated by Independent System Operators (ISOs) in wholesale electricity markets to help lower the gap between prices day-ahead (DAM) and real-time (RTM). In this paper, we seek answer two questions: 1) how can strategic participant maximize its profit when submitting CBs? 2) such strategically placed CBs affect price gaps? Answering these questions not straightforward but results are insightful. The problem context...

10.1109/tpwrs.2020.3025098 article EN publisher-specific-oa IEEE Transactions on Power Systems 2020-09-18

Emerging utilization of Electric Vehicles ( <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">EV</i> s) in Distribution Networks xmlns:xlink="http://www.w3.org/1999/xlink">DN</i> decreases the power quality . The main quest this research is to find out xmlns:xlink="http://www.w3.org/1999/xlink">Can</i> EVs xmlns:xlink="http://www.w3.org/1999/xlink">and Photovoltaic</i> (PV) xmlns:xlink="http://www.w3.org/1999/xlink">systems support the</i> DN...

10.1109/tvt.2023.3284757 article EN IEEE Transactions on Vehicular Technology 2023-01-01
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