A5077873688- Electric Power System Optimization
- Smart Grid Energy Management
- Climate Change Policy and Economics
- Optimal Power Flow Distribution
- Integrated Energy Systems Optimization
- Power System Reliability and Maintenance
- Energy, Environment, and Transportation Policies
- Water resources management and optimization
- Energy Load and Power Forecasting
- Capital Investment and Risk Analysis
- Energy Efficiency and Management
- Hydrology and Watershed Management Studies
- Multi-Criteria Decision Making
- Economic and Environmental Valuation
- Global Energy Security and Policy
- Auction Theory and Applications
- Flood Risk Assessment and Management
- Global Energy and Sustainability Research
- Merger and Competition Analysis
- Urban Stormwater Management Solutions
- Water Systems and Optimization
- Environmental Impact and Sustainability
- Bayesian Modeling and Causal Inference
- Consumer Market Behavior and Pricing
- Renewable energy and sustainable power systems
Johns Hopkins University
2016-2025
National Heart Lung and Blood Institute
2024-2025
Office of Scientific and Technical Information
2024
Electric Power Research Institute
2024
National Renewable Energy Laboratory
2024
National Technical Information Service
2024
Argonne National Laboratory
2024
Eunice Kennedy Shriver National Institute of Child Health and Human Development
2024
Temple University
2016
Swarthmore College
2016
Transmission constraints and market concentration may prevent power markets from being fully competitive, allowing firms to exercise raise prices above marginal cost. We present a strategic gaming model for analyzing such markets; it represents an oligopolistic economy consisting of several dominant in electric network. Each generating firm submits bids ISO, choosing its maximize profits subject anticipated reactions by rival firms. The single-firm is formulated as mathematical program with...
Conjectured supply function (CSF) models of competition among power generators on a linearized DC network are presented. As detailed survey the market modeling literature shows, CSF differ from previous approaches in that they represent each GenCo's conjectures regarding how rival firms will adjust sales response to price changes. The approach is more realistic and flexible framework for imperfect than other three reasons. First, include as special case Cournot conjecture rivals not change...
Two Coumot models of imperfect competition among electricity producers are formulated as mixed linear complementarity problems (LCPs), and a simple example is presented to illustrate their application. The two simulate bilateral markets. include congestion pricing scheme for transmission, but other transmission approaches can also be represented in this framework. differ from each that one has no arbitrage between nodes the network, while model arbitragers erase any noncost-based differences...
Demand response, defined as the ability of load to respond short-term variations in electricity prices, plays an increasingly important role balancing supply and demand, especially during peak periods dealing with fluctuations renewable energy supplies. However, demand response has not been included standard models for defining optimal generation technology mix. Three different methodologies are proposed integrate responsiveness into a mix optimization model considering operational...
Ground‐water quality monitoring network design is defined as the selection of sampling sites and (temporal) frequency to determine physical, chemical, biological properties ground water. The main approaches ground‐water were identified hydrogeologic statistical. various methods for available in hydrologic literature have been evaluated by considering spatial scale program, objective sampling, data requirements, temporal effects, range applicability. Considerable advance has made over last...
Most previous Nash-Cournot models of competition among electricity generators have assumed smooth demand (price) functions, facilitating computation and proofs existence uniqueness. However, nonsmooth functions are an important feature real power markets due, for example, to price caps generator recognition transmission constraints that limit exports. A more general model on networks is proposed accounts these features by including (1) concave piecewise-linear curves (2) joint include...
Load forecast errors can yield suboptimal unit commitment decisions. The economic cost of inaccurate forecasts is assessed by a combination simulation, optimization, and dispatch modeling for several different generation/load systems. simulation preserves the error distributions correlations actually experienced users neural net-based forecasting system. Underforecasts result in purchases expensive peaking or spot market power; overforecasts inflate start-up fixed costs because too much...
Abstract The insufficient attention that too often is paid to the characteristics required of attribute weights prevents multiattribute decision rules from accurately representing preferences. weighting summation or linear model requires be proportional relative value unit changes in their functions. Only then will reflect trade‐offs makers are willing make. A number methods choosing critiqued this perspective. Applications power plant siting surveyed, and a study western Maryland presented....
We propose a stochastic programming-based tool to support adaptive transmission planning under market and regulatory uncertainties. model investments in two stages, differentiating between commitments that must be made now corrective actions can undertaken as new information becomes available. The objective is minimize expected generation costs over the time horizon. Nonlinear constraints resulting from Kirchhoff's voltage law are included. apply 240-bus representation of Western Electricity...
Markets for ramp products (called "flexiramp" in the California ISO and "ramp capability" Midcontinent ISO) have been proposed to address need generator flexibility due increased renewable penetration. Flexiramp is committed capacity reserved meet unexpected ramps net load. We evaluate flexiramp market designs by comparing solutions of 1) an real-time simulation (a deterministic unit commitment (RTUC) model with requirements) 2) a stochastic RTUC model, used as baseline evaluating solutions....
Carbon dioxide allowance trading systems for electricity generators are in place the European Union and several U.S. states. An important question design of such is how allowances to be initially allocated: by auction, giving away fixed amounts (grandfathering), or allocating based on present recent output, investment, other decisions. The latter system can bias operations, product pricing decisions increase costs relative systems. A nonlinear complementarity model proposed investigating...
Fluctuating wind production over short time periods is balanced by adjusting generation from thermal plants to meet demand. Thermal ramp rates are limited, so increased variation in output as penetration increases can add system operating costs because of the need for more reserves. Traditional deterministic modeling techniques fail fully capture these extra costs. We propose a stochastic dynamic programming (SDP) approach unit commitment and dispatch, minimizing making optimal commitment,...
Part one of this two-part paper presents new models for evaluating flexible resources in two-settlement electricity markets (day-ahead and real-time) with uncertain net loads (demand minus wind). Physical include wind together fast- slow-start demand response thermal generators. We also model financial participants (virtual bidders). Wind is stochastic, represented by a set scenarios. The system modeled as two-stage process which the first stage involves unit commitment tentative scheduling,...