Title: cerc discussion paper (june 2003) it is time to say goodbye
1 CERC DISCUSSION PAPER (JUNE 2003)
- IT IS TIME TO SAY GOODBYE TO
- AVAILABILITY BASED TARIFF
- PRESENTATION BY
- DR. M. R. BHAT
- AND DR. AJIT KARNIK
-
- WELCOME OPTIMAL TARIFF
- HEARING AT NEW DELHI
- November 12, 2003
2WHAT IS THE PROBLEM?
- Problem lies in structure and application
of Availability Based Tariff. - Mandatory Plant Availability Factor poses serious
limitations. - Availability Based Tariff does not motivate
investment and facilitate objective Optimization
of Capital Investment. - Other limitations of Availability Based Tariff
are forwarded to CERC.
3WHAT IS THE SOLUTION?
- Solution to Problem is to
- Discard mandatory Plant Availability Factor, as
is done in limitation-free Optimal Tariff. - Adopt Optimal Tariff (based on holistic
application of optimizing principles of
economics), on an imperative basis, in lieu of
Availability Based Tariff. - Solution offers several advantages.
4 WHY THIS SOLUTION?
- Over-investment - inevitable under Availability
Based Tariff - is negated in Optimal Tariff,
based on new concept of Optimizer - which is the
unique optimal value of Risk Premium for given
values of its associated variables. - Optimal Tariff maximizes social welfare and
motivates investment, in an economy facing
shortage of funds and risks. - Power Producer, Consumer and Regulator are
treated equitably.
5SECTION 1 OF 4APPROACH TO FORMULATION
OFOPTIMAL TARIFF
6Optimal Tariff Components
-
- Method 1.
- Theory of Behavioral Patterns.
- Performance Incentive.
- 4. Optimization Strategy.
7Optimal Tariff Features
- Optimal Tariff lets Power Producers to
- Respond to needs of society and also power
system. - Earn fair Profit plus Performance Incentive for
good performance. - Avoid conflicts on who is to generate what, when
and why, regardless of ownership of plants. -
- Optimal Tariff is based on conventions/
simplifications (available with CERC), which do
not distort its practical application in power
generation industry.
8Rate of Return in Optimal Tariff Elements
- Risk Free Return.
- Normal Rate of Profit, when risks are minimal.
- Risk Premium, in addition to Normal Rate of
Profit when risks and shortage of funds prevail. - Sum of three elements equals Rate of Return,
which has no more its regulatory role. - Normal Rate of Profit and Risk Premium have - for
given units generated, cost of fuel per unit
generated, optimal value of capital investment
and Risk Free Return - distinct and unique
optimal values, which serve different purposes in
Optimal Tariff.
9Rate of Return in Optimal Tariff Basics
- Risk Free Return is assumed as weighted average
Reserve Bank Rate. - Refer Report (1991) - India, Long Term
Issues in the Power Sector, by London Economics,
Indira Gandhi Institute of Development Research
and others. - Reserve Bank Rate reflects macro economic
considerations relating to state of countrys
economy. - Unique optimal values of Normal Rate of Profit
and Risk Premium reflect microeconomic
considerations, which drive investment in power
sector.
10Amount of Return
- Amount of Return
- Rate of Return ? Capital Investment.
- Government, as Bulk Purchaser, pays Amount of
Return to Power Producer. - Amount of Return not affected by changes in (Risk
Free Return Reserve Bank Rate), since Rate of
Return is based on mutual agreement. - Amount of Return excludes Performance Incentive.
11 Objectives of Optimal Tariff
Distinctly defined Objectives form a package,
achieved collectively and completely through
application of four Components of Optimal Tariff.
12Motivation
- Power Producer (Regulator) is motivated to
increase (decrease) Amount of Return, calculated
from Capital Investment and Rate of Return. - Power Producer expects to increase Profit.
- Regulator wants to optimize Capital Investment.
Power Producer extends support, provided Profit
is safeguarded. - Power Producer and Regulator desire to
increase generation, the former to increase
Profit, the latter to decrease Unit Fixed Cost.
13SECTION 2 OF 4STRUCTURE AND APPLICATION
OFOPTIMAL TARIFF
14Method 1 Definition
- Method 1 is the procedure wherein Capital
Investment and Rate of Return are mutually agreed
between Power Producer and Regulator.
15Theory of Behavioral Patterns Definition and
Classification
- Theory of Behavioral Patterns is developed
from behavior of three variables, Capital
Investment, Profit and Amount of Return, with
respect to changes in Rate of Return. - Behavioral patterns are classified as
- Standard (Non-standard)
- Conditional Standard (Conditional Non-standard)
- In Standard (Non-standard) Patterns, as Rate
of Return increases - Capital Investment and Amount of Return always
decrease (increase). - Profit always increases (decreases).
16Theory of Behavioral Patterns Attributes
- Both standard and non-standard patterns are
always valid, but their characteristics are
opposite in nature. - Conditional Standard (Conditional Non-standard)
Patterns are those that are Standard
(Non-standard), provided that specified condition
applicable to Pattern concerned is satisfied.
17 Theory of Behavioral Patterns Features
- Standard and conditional standard patterns - but
not non-standard and conditional non-standard -
form the basis of Theory of Behavioral Patterns. - Conditional patterns have to satisfy Conditions,
which are variable-specific for
optimal/non-optimal values and derived through
theory. - Under Method 1, Behavioral patterns of
- Capital Investment is inherently standard.
- Profit and Amount of Return are conditional
standards, for which conditions are easily
satisfied.
18 Theory of Behavioral Patterns Application
- Power Producer desires to maximize Amount of
Return and Profit through increases in both
Capital Investment and Rate of Return. - Regulator desires to decrease their values,
to minimize Amount of Return. - Conflict is resolved through application of
Step-by-Step Approach (Forwarded to CERC),
utilizing collectively all four Components of
Optimal Tariff.
19Theory of Behavioral Patterns Advantages
- Risk-free procedure in application of Theory
of Behavioural Patterns provides built-in
motivation for Power Producer and Regulator to - Increase Rate of Return, if Capital Investment
decreases. - 2. Minimize Capital Investment and Amount of
Return. - 3. Maximize Rate of Return and Profit.
20 Theory of Behavioural Patterns Highlights
- Power Producer and Regulator agree to
- Decrease Capital Investment, though not sought by
Power Producer, whose interest is to increase
Profit. - Increase Rate of Return, though not favoured by
Regulator, whose interest is to decrease Amount
of Return. - Paradoxically, there is no conflict between
increasing Profit and reducing Amount of Return. - The interests Power Producer, Regulator and
consumers get balanced, while promoting Capital
Investment, in a win-win scenario.
21Performance Incentive Definition
- Performance Incentive is a financial
instrument of recognition and reward for good
performance, in the absence of quantifiable
mandatory Plant Availability Factor and/or Plant
Load Factor. - Performance Incentive Rate is equal to
Performance Incentive per unit of Capital
Investment.
22 Performance Incentive Characteristics
- Performance Incentive is an add-on to Profit.
- Performance Incentive Rate is an add-on to Rate
of Return. - For given values of other variables, Performance
Incentive/Performance Incentive Rate - Increase as Capital Investment decreases.
- Increase as generation increases, but under
progressive restraint. - Are independent of the value of
- (Risk Free Return Reserve Bank Rate).
- Performance Incentive is subject to regulatory
ceiling.
23Performance Incentive and Performance Incentive
Rate Application
- The principle of Performance Incentive is that
Power Producer, who is not only ready to perform,
but also actually performs by generating energy
to meet system needs, is compensated
additionally. - Performance Incentive is not paid to another
Power Producer who is only ready to perform, but
is not called upon to generate on demand. - The ability of Power Producer to generate on
demand depends on his maintaining high Plant
Availability Factor. - Power Producer may not comply with generation
schedule of Load Dispatch to ensure grid
discipline. Nevertheless, he is likely to do so
willingly and achieve high Plant Load Factor,
since Performance Incentive increases as
generation increases.
24Performance Incentive and Performance Incentive
Rate Features
- Performance Incentive
- Fosters grid discipline, augmenting Method 1.
- Improves internal efficiency, which is its
primary role and depends on total costs for
producing given bundles of outputs (Vickers and
Yarrow). - Suitable formula secures the features of
Performance Incentive/Incentive Rate.
25Optimal Tariff Accomplishments
- Optimal Tariff, through its first three
Components - Sets road map to achieve Objective 1, through
Optimization Strategy (Fourth Component). - Achieves Objective 2, to ensure grid discipline.
- Encourages Power Producer voluntarily to
- Maintain high values of Plant Availability/Load
Factors without mandatory compulsions. - Accept Load Dispatchs exclusive control over
grid discipline, if Producers Profit is secured.
- Promote allocative efficiency, based on output
level with given cost structure (Vickers and
Yarrow). - Agree to Performance Incentive to improve grid
discipline and internal efficiency.
26SECTION 3 OF 4APPLICATION OF OPTIMIZATION
STRATEGY FOROPTIMAL TARIFF
27 Optimization Strategy Scope
- Optimal Tariff, through its four Components -
particularly Optimization Strategy including
application of Optimizer - Optimizes/Near-optimizes Capital Investment,
Amount of Return and Profit. - Achieves/Near-achieves Objectives 1 and 3.
- Maximizes/Near-maximizes
- Allocative efficiency through Theory of
Behavioral Patterns and Method 1, with
Performance Incentive playing a secondary role. - Internal efficiency through Performance
Incentive, which is its primary role.
28Optimization Strategy Theory
- Theoretical analysis leads to conclusions
that - Marginal and average consumptions of coal (or
other fuel) in a thermal power plant are equal. - Partial derivative of output with respect to
input (fuel) is a constant in given time period,
without disturbing constraints. - Optimal/Near-optimal allocation of resources is
achievable. - Normal Rate of Profit and Risk Premium are two
distinct optimized values, assigned different
roles. - The latter, which has technical advantages, is
termed as Optimizer and used to achieve Optimal/
Near-optimal allocation of resources
29Optimization Strategy Features
- Maximization/Near-maximization achieved by
Optimal Tariff, aided by Optimization Strategy,
makes no distinction between Public and
Independent Power Producers. - The former produces more units of generation
and makes more cost-saving effort to achieve
higher level of social welfare than the latter -
who may rectify the imbalance, if improved
incentive systems are introduced (Vickers and
Yarrow). - Optimal Tariff addresses itself to incentive
systems and encourages Power Producers to
implement Optimization Strategy.
30Optimization Strategy Fixed Unit Cost
- Optimal Tariff, through four Components,
particularly - Optimization Strategy - optimally
reduces (enhances) Amount of Return (Profit). - For given units generated, between Unit Fixed
Cost (excluding/including Performance Incentive
Rate), the latter is higher than the former, but
moderately, due to ceiling on Rate. - Higher Cost is acceptable, since Incentive Rate
is Power Producers reward for internal
efficiency. - Comparison between Unit Fixed Cost (excluding/
including Incentive Rate) is however not
meaningful. - Significant comparison is between two values of
the latter, corresponding respectively to
optimal/near-optimal and non-optimal values of
Capital Investment.
31Optimization Strategy Phases
- Optimization Strategy - a Component of Optimal
Tariff - consists of two distinct phases Phase 1
and Phase 2. -
- Phase 1 relates to Capital Investment, incurred
until plant is ready for commercial operation. -
- Phase 2 covers continuing optimization
32Optimization Strategy (Phase 1) Application
- Optimal values of Capital Investment, Rate of
Return, Performance Incentive and Profit are
determined by collective application of four
Components of Optimal Tariff, using Step-by-Step
Approach, referred to earlier. - It defines mutually agreed and frozen values of
variables, when plant steps into Year 1 of its
life. - Corresponding formula based optimal values
equalize/near-equalize themselves to their
mutually agreed and frozen values and not
vice-versa, due to inherent flexibility of value
of Optimizer. The latter are then
optimal/near-optimal.
33Optimization Strategy (Phase 1) Conclusion
- In Year 1, values of Capital Investment, Rate of
Return, Performance Incentive, Profit and Unit
Fixed Cost (Performance Incentive Rate included)
for given units generated are optimal/near-optimal
. - Optimization Strategy (Phase 1) stands
formulated, achieving Objectives 1 and 3 in Year
1. - Key components of Optimal Tariff are defined.
- Next Step Optimization Strategy (Phase 2), again
based on Optimizer.
34Optimization Strategy (Phase 2)
- Optimization Strategy (Phase 2) ensures
Optimality/Near-optimality, based on specific
value of Optimizer for each year. - Value of Optimizer is calculated from actual
weighted average values of variables at
conclusion of each year. - In each Year, values of Capital Investment, Rate
of Return, Performance Incentive Rate and Unit
Fixed Cost (including Performance Incentive Rate)
are optimal/near-optimal. - Optimization Strategy (Phase 2) stands
formulated, achieving Objectives 1 and 3 from
Year to Year.
35Optimization Strategy Overview
- Optimal Tariff, through its four Components -
particularly Optimization Strategy, including
application of Optimizer - Assures that fear of over-investment
(Averch-Johnson effect) would almost fade away. - Implies that traditional concepts of regulatory
Rate of Return are abandoned and structural
changes in regulatory practice introduced. - Maximizes/Near-maximizes the sum of producers
and consumers surpluses or social welfare and
achieves Objectives 1 and 3, with Objective 2
having been earlier achieved. - In this context, four issues involved call
for discussion.
36Optimization Strategy Issue 1
- Use of mathematical technique in design of
Optimization Strategy appears contrived and not
in order. -
- This is not sustainable, since Common sense
recognizes itself only in the searchlight of
mathematics (Samuelson). - Nevertheless, one may agree with Bailey and
Malone that theory based on static analysis is
not in tune with the dynamic real world.
37Optimization Strategy Issue 2
- Optimization may not be achieved unless discrete
time period for optimization is short, say one
day or one hour. -
- Performance Incentive may be calculated on a
daily/hourly basis and its values incorporated on
a cumulative basis up to month-end to determine
unit Fixed Cost (including Performance Incentive
Rate) for the month. - The monthly energy bill is prepared
accordingly for payment.
38Optimization Strategy Issue 3
- Theory of Optimality is valid under a
competitive situation and cannot be a measure of
efficiency - - under other situations according
to the second best theorem. (Takayama) - Theorem It is not necessarily worse for
society if a large number of optimality
conditions are violated than only if a few are
violated. (Baumol). - Near-optimization may not necessarily
indicate that social welfare is substantially
maximized.
39Optimization Strategy Issue 4
- Any isolated optimization restricted to power
plants may not necessarily be valid, because of
other distortions in society. -
- Piecemeal interventions by Government would
however eliminate some distortions and reduce the
impact of some others and increase social
welfare. (Henderson and Quandt). - It is particularly so, where the distortions are
not directly related to power generation. -
- Realistically, what is therefore achieved in
practice is Near-Maximization of social welfare
or the sum of the producers and consumers
surpluses. -
40SECTION 4 OF 4 CONCLUSIONSOPTIMAL TARIFF
meets expectations of Power Producers,
Consumers, Government and Regulatorin full and
even measure.From a totality of
considerationsIT IS TIME TO SAY GOODBYE TO
AVAILABILITY BASED TARIFF ANDWELCOME OPTIMAL
TARIFF
41IT IS TIME TO SAY GOODBYE TOAVAILABILITY BASED
TARIFF
PRESENTATION BY DR. M. R. BHAT AND DR. AJIT
KARNIK WELCOME OPTIMAL TARIFF HEARING AT
NEW DELHI November 12, 2003