EnWorkz PowerUpTM Software Framework

 

In PowerUp, we have introduced a flexible and scalable architecture with unprecedented performance. As the energy industry continues to change, the particulars of software architecture will be critical to successful implementation of enterprise solutions. This is especially true in an environment where continual adaptation is expected for a companies’ survival.
As requirements change, new and different applications are needed, or existing ones require update. The flexible architecture of PowerUp will enable our clients to replace older applications with faster and timely application modules as business rules change. For that reason, PowerUp will be able to maintain our clients’ infrastructure investment and support their business for many years into the future.

Motivation
Energy companies are increasingly focused on trading around physical assets. It is therefore becoming impossible to separate risk management and other financial decisions from the physical realities of power generation and delivery. Electric power generators, for example, have complex payoff functions and subtle embedded optionalities. These optionalities depend on physical characteristics like fuel efficiencies, startup times, cycling times, ramping limits, output constraints, maintenance requirements, and outage rates. On the delivery side of the business, a power contract exposes the seller to uncertain (and often unlimited) volume on one side of the contract with uncertain price on the other. The resultant risks depend on factors beyond your control such as weather, fuel prices, and customer behavior.

To avoid devastating losses in deregulated generation or delivery markets, these non-financial factors must be taken into account when buying, selling, hedging, and managing energy assets. Unfortunately, there is a lack of developed tools capable of effectively and efficiently performing this kind of complicated analysis.

Approach

EnWorkz PowerUp™ is an advanced software platform for analyzing the cash flows and operating states of energy assets in multi-year, multi-scenario simulations. PowerUp is unique in its ability to accurately account for the physical constraints and complex economics of generators and loads without requiring impractical amounts of time and computing resources. As a result, PowerUp can significantly improve the accuracy of risk assessments, cash flow forecasts, valuation estimates, and resource budgets.
The EnWorkz PowerUp™ software suite provides a unified, portfolio-level solution for the management of electric power generation, delivery, and hedging. Most risk management systems attempt to model energy portfolios using modified generic Wall Street financial models, PowerUp is based on detailed physical asset models that capture the complex payoff functions and subtle embedded optionalities of assets such as generators and loads. By combining these physical models with a state-of-the-art resource allocation optimizer, PowerUp can accurately solve complex portfolio optimization and risk management problems that involve multiple asset classes, multiple scenarios, operating flexibility, and difficult coordination constraints. The benefits for an energy company include:
      o more predictable earnings
      o improved efficiency
      o more transparent risk management at the corporate level

Seamless integration of physical and financial asset models

In PowerUp, it is easy to model portfolios consisting of both physical and financial assets. For instance, a single portfolio might contain generators, load-following contracts, and call options. PowerUp analyzes the entire portfolio and reports a variety of statistics about cash flows, costs, and utilization rates. PowerUp’s integration of physical and financial models
yield the added benefit of improving the linkage between trading activities and operating decisions. In many energy companies, there is a tension between the trading and operations groups, because analysis performed by each group tends to ignore objectives and constraints of the other. PowerUp accounts for both simultaneously. It will not pursue trading revenues without considering the economic costs incurred by the generator. At the same time, it will not “protect” a generator when net profitability could be increased through more aggressive action.

Capabilities of EnWorkz PowerUp
PowerUp is particularly targeted at the following activities:
o  Coordinated resource scheduling under uncertainty, encompassing unit     commitment, contract exercise, fuel transport, and curtailment.
o Physical risk and earnings assessment, including earnings-at-risk metrics for     generation assets, and quantification of volumetric risk associated with delivery     obligations.
o Physical risk management via hedging of generation and loads with bilateral     contracts and options.
o Valuation and pricing of individual assets like generators and contracts, based     on how an asset actually responds to market conditions.
o Capital Adequacy and cash flow comparisons for the entirety of your asset     portfolio.

Resource scheduling
PowerUp includes advanced capabilities for coordinating a portfolio of generation assets, bilateral contracts, options, loads, and fuel contracts to maximize total portfolio returns when prices or demand are uncertain, and accounting for flexibility inherent in assets like peaking generators and options. Examples of the kinds of questions that PowerUp can answer:

What is the most profitable unit commitment schedule for my generators?

Which units to run / for how long / at what bids?

What is the optimal strategy for utilizing optioned resources with minimum and maximum takes?

How should I coordinate fuel sources for my generators?


Risk and earnings assessment

PowerUp can estimate a portfolio’s earnings volatility, loss probabilities, expected values, earnings at risk, volumetric risk, and other risk measures – all derived from a detailed physical model of asset behavior.

What is the distribution of earnings that I can expect from my generation and/or delivery portfolio during a particular timeframe?

How much volume risk is associated with my delivery contracts?
What is the probability of a loss?

How sensitive is my portfolio to changes in energy or fuel prices?
What is the probability that I will have to curtail load or purchase additional energy in the spot market?


Risk and earnings management
PowerUp can recommend hedges and adjustments to a portfolio to improve the risk-return characteristics according to the user’s risk preferences.

How should I allocate my generation capacity to bilateral contracts, and how much should I expose to the spot market?

What kind of hedge do I need to keep volume risk within target limits?

What hedging instruments should I add to my portfolio to reduce the variability of returns?

Should I sell a call option or cap against some of my generation capacity?


Valuation and pricing
PowerUp can analyze the incremental economic benefit of an individual asset, supporting valuation and pricing efforts. Because it uses a physical model of asset response to the market environment, PowerUp can produce more accurate valuations than is possible using simpler models like those based on spark spreads.

What is the range of ROI that I can expect from a new generator?

What cash flows can I expect from my load portfolio?

How should I price a load service contract?

What are my capital adequacy requirements, and what adjustments would improve them? Should I buy a distressed asset/sell an older unit?

How EnWorkz PowerUp works
The core of the PowerUp suite is a state-of-the-art optimization engine that allocates resources through the use of simulated price signals. The optimizer maximizes expected economic benefits over multiple time periods, accounting for uncertainty in demand and price as well as constraints and costs for such things as generator operation, transmission capacity, fuel transportation, and contracted resource availability.

This approach of simulating price signals to allocate resources has a valid mathematical basis called Lagrangian Relaxation. The Lagrangian approach is commonly used to solve large-scale optimization problems, and it amounts to
solving for clearing prices while balancing supply and demand for various resources. Some of you may know that conventional Lagrangian Relaxation formulations are unable to handle uncertainty, normally optimize a single asset class at once, and tend to have difficulty converging to a final solution. The PowerUp framework overcomes these limitations through a number of innovative proprietary technologies.
Essentially, we incorporate uncertainty into price and demand forecasts, simultaneously optimizing multiple asset classes with difficult coordination constraints, and invoke effective heuristics for ensuring rapid solution convergence. Moreover, PowerUp includes highly optimized models for generators and other assets that are orders of magnitude more efficient than conventional implementations while retaining a very high degree of modeling accuracy.

PowerUp can handle a wide range of constraint types and internal costs. Constraints and costs can be:
      o scalar (for instance, generator maximum output levels)
      o spatial (e.g., transmission line capacities or fuel transportation costs)
      o temporal (e.g., minimum uptime and downtime constraints on a generator,       or minimum and maximum monthly takes for a gas swing contract.)

In PowerUp, assets represent sources of supply or demand, including generators, loads, fuel contracts, bilateral energy contracts, caps, and other physical or financial objects. Each asset observes the price signals for resources, and varies its own consumption and supply to maximize profits.

If there is a desire to accelerate computation, PowerUp is designed such that it can be run in a distributed mode on multiple Intel-compatible PCs. Through the combination of distributed computing and price-driven resource allocation, PowerUp can solve portfolio optimization and risk management problems that are beyond the practical limits of conventional tools which have been based on Linear Programming, Mixed Integer Programming, or conventional Lagrangian Relaxation. Please note that due to its inherent internal speed PowerUp may have no requirement beyond a normal desktop computer, unless there is a need to run complex asset optimization scenarios.

In addition to being computationally efficient, the price-driven resource allocation method in PowerUp offers another key advantage: Because assets and market clearing are modeled as independent objects, PowerUp can be extended with new asset behaviors without requiring changes to the optimization engine.

Uniqueness of EnWorkz PowerUp

Physical-level model of assets By modeling the actual behavior of assets instead of using models of simpler financial assets, EnWorkz PowerUp increases the accuracy and reliability of analysis. (For one EnWorkz client, our physical generation model yielded a 75% reduction in the variance of a generator valuation estimate, compared to the result produced by a more traditional spark-spread option model.) PowerUp is the
first commercial portfolio management product that incorporates detailed physical asset models.
Explicit modeling of price uncertainty and asset flexibility The scheduling and optimization methodology in EnWorkz PowerUp explicitly accounts for the optionality that results in flexible generation under uncertainty. It does so using scenario trees, which avoids certain biases that can result in other approaches. The ability to model uncertainty and flexibility can have a significant impact on results. Unit commitment schedulers that model uncertainty can reduce fuel costs up to 5% compared to schedulers that don’t.

Portfolio-level solutions First commercial product to link unit commitment, delivery, and hedging into a single portfolio optimization problem that allows multiple asset classes and difficult constraints. Avoids the sub-optimization that occurs when assets are managed in silos.

Unified framework
One core optimization engine and asset model drives resource scheduling, risk assessment, risk management, and valuation of energy portfolios. Fewer systems to maintain, reduced training burden, easier upkeep, less redundant modeling work.

Leading-edge optimization engine The EnWorkz PowerUp engine is efficient and extensible, so it can tackle large problems and grow with your business needs.

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