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Annexe 2 to report of working group on specification and negotiation of network services Output Focussed Performance Criteria for Network Service Providers in NEM 1 Introduction Traditionally network performance has been managed by requiring network designers to meet the so called reliability criteria (typically “n-1” and in some cases “n-2”). These criteria have always been justified on the basis that all customers generally preferred to have power supply maintained following a “credible contingency”. Measurement of actual system performance then focussed primarily on two or three indexes: Duration index (most often measured in System Minutes), and Frequency index (measured the frequency of interruption). Circuit availability (measured percentage of time circuit was available for usage). Together these indexes claimed to be good measures of network performance because they provided information on frequency and extent of network interruptions. However these type of indexes are somewhat deficient in that they: do not provide an indication of the relative impact of specific events compared with others, and do not provide the appropriate indication of the relative impact of the same event in relation to time of day, time of year (e.g. middle of night versus early morning peak, spring versus summer etc.) do not include impacts of network operation/performance where the network is abnormally constrained but outages do not occur. are open to manipulation through the interpretation of “credible contingency”. For example a network failure at 3 am for a domestic load is probably relatively low for the first hour or so. However, a similar failure at 7:30 am on a weekday when parents are attempting to get children ready for school and themselves for work is a lot more costly. Similarly a network failure that reduces interconnector flow may cause higher cost generation to be run than would otherwise have been the case. These performance indicators reinforce viewing the transmission system as common bundle of benefits for all network users that cannot be unbundled. Such a view leads to the likely outcome of ongoing regulated intra-regional transmission system augmentation and ongoing support for across the board postage stamp based pricing. While there is a strong argument for an element of postage stamp pricing for existing sunk assets, this argument has much less weight for future investment. Locational signals will be enhanced in the market place if future transmission investments are Annexe 2 to report of working group on specification and negotiation of network services primarily committed to on the basis of funding by recognised beneficiaries rather than assuming the benefits exist for all and hence all should pay. Performance measure that do not differentiate (that accept all customers as equal beneficiaries) enhance the arguments for accepting the view of benefits for all through funding by all, rather than promoting the more efficient approach of beneficiaries funding any augmentation. In contrast to the centrally planned approach, the beneficiary funding approach introduces the idea of property rights (as outlined by GPU and William Hogan). Transmission property rights overcome the issue of defining broad network standards because the rights would be specifically incorporated into contracts between the NSP and beneficiaries and would clearly promote a more efficient outcome in terms of transmission augmentation. As a first step to moving to a fully locationally planned and priced transmission network, a system that incorporates elements of energy market price impacts are desirable as the basis for network standards and performance measurement. This is relevant because the spot market (regardless of various views) reflects the actual marginal value of energy being supplied in any half hour. In this sense then it is the most sensible factor to use in setting standards and measuring performance. Hence spot market energy price impacts can be used to scale the relative impacts of events, including comparing similar outages that occur at different times and provide objective criteria for measurement, rather than relying on definitions of “credible” that are open to interpretation and potentially manipulation.. In addition the spot market provides a mechanism for assessing the cost impact of network operations/performance where actual outages do not occur but the newtork is abnormally constrained. If this concept is taken a step further it can be argued that the spot market can also provide the basis for assessing the impact of current network design in terms of how the existing network constraints affect the price of power that is delivered to customers. The remaining discussion sets out a market linked methodology for measuring network performance at both an operational and design adequacy level. It should be noted that the purpose of the performance criteria measurement system below is to measure performance against a benchmark. The proposal as it stands is not intended to be used as a mechanism to determine NSP remuneration other than if penalties apply where an NSP fails to meet a set benchmark (minimum standard). 2 Linking performance to the market It is important to ensure that where a system is designed to measure NSP performance that it is linked to the market. The current TNSP proposal discusses such things as frequency and duration of outages with parameters such as system minutes. These are typical of traditional network reliability and performance planning but do not in themselves provide a complete measurement system in a competitive market framework. Annexe 2 to report of working group on specification and negotiation of network services The market places a different value on energy at different times of the day and year which is expressed explicitly through the spot price in each region. The value that a link provides to the market in each half hour is in part a function of the level of energy flows on the link and the price differentials between adjacent regions which are joined by the link (significant when the link is constrained). Thus any measurement system must reflect the value that the market places on the transmission services at the time of any outage which results in: 1. unserved energy, or 2. any constraint that it is imposed on the market by the transmission system capability and which has a price impact. Thus there are primarily two elements in compiling a performance measurement system linked to the market Load that is not served as a consequence of transmission outages or constraints should be calculated as a sum of all events in relation to a particular service provider where the cost of each event would be calculated as: 1. MW not served * duration * VoLL where the demand is passive(not bid explicitly into market). VoLL is the appropriate value to applied in this case as it is the value that the market ascribes to passive demand. This calculation would apply even to very small load disruptions (e.g. small urban and rural feeders). It is not valid to argue that this value should be lower as otherwise it would be expected to be bid into the market to be shed at the lower value. 2. MW not served * duration * Bid Price where the demand is active(bid explicitly into market). 3. {[Spot Price Constrained less Spot Price not constrained]*served energy in each region} less {incremental NSP costs to reschedule the outage, if planned} The operation of networks, particularly in the case of transmission (e.g. say an outage on one element of an interconnector) may not result in any unserved energy but any subsequent constraints imposed by this operation would normally result in an increase in at least one regional reference price (higher constraints would normally result in limiting some participants and a higher price). Hence using what if analysis, the impact of an NSP constraint can be evaluated in each region to provide for each trading interval (half hourly) what if prices if the constraint had not applied (the network was operated optimally). These what if prices along with actual spot prices could be used in the equation above. Hence for example an outage on a transmission line that as likely to have an impact on pricing would result in a lower value in the above formula if performed during low network utilisation periods, low price periods or both. Annexe 2 to report of working group on specification and negotiation of network services The above outline is intended to explicitly show that there are a number of ways in which the transmission system design and performance can affect the market. In reality these three effects are captured in the simple market objective formulation of: {Spot market benefits (unconstrained) less any incremental NSP costs of avoiding network constraints} less Spot market benefits (constrained) where the constraints in consideration relate only to the relevant NSP or part of an NSP’s area. 3 Short and long term constraints In determining the impact of networks on market prices there are two levels of constraints that should be considered 1. Performance of the network within its current design envelope. 2. Adequacy of the networks design envelope. 3.1 Measuring performance within the current design envelope This measure would value the impacts of the network within its current design capability. For example, if a transmission line is designed to a 2000 MW capability, being constrained at the 2000 MW level would not be considered to be impacting the market in terms of this measure. If, however, a planned or forced outage occurred on the network element that reduced its capability to below the 2000 MW capability and market price or served energy was affected, the measure would incorporate either or both of the affected factors. Hence the measure would provide an indication of how optimally the network was operated within its design capability, but would not provide any indication of the efficiency/effectiveness of the design envelope. If an NSP wide measure was considered to be too broad a measure, the parameter could be broken down on a part regional basis. The what if pricing could be derived directly from the SPD algorithm. There may be some issues relating to participant behaviour if the constraint did not exist but these could be adequately managed as part of the what if process. This process could be run in near real time and be automated in order to provide timely feedback to all participants and stakeholders. 3.2 Measuring adequacy of the design envelope This measure would value the impacts of the networks design capability on the market. It would be more akin to the network augmentation type criteria and could be utilised when considering augmentation of intra-regional and inter-regional capability (assuming other options would also be considered). In this case the impact of the 2000MW element design capability would be considered. 3.3 Formulating measures Annexe 2 to report of working group on specification and negotiation of network services For evaluating performance within the design envelope the simple accrual formulation of: Sum [Spot market benefits (unconstrained) less Spot market benefits (constrained)] over the period being measured In order to take account of varying market conditions over time, a second measure that provides a multi-period rolling average or weighted rolling average of the above factor could be utilised. Both measures could be provided as public information to the market place at the end of each period (say half yearly or yearly). For evaluating the adequacy of the design envelope the following forecast formulation would be appropriate: NPV { Expected Value[Spot market benefits (unconstrained) less Spot market benefits (constrained)] } over longer term assessment period. It should be noted that this would use the explicit spot market value VoLL in setting the reliability benchmark rather than other measures that are not explicitly present in the spot market. Again this measure could be provided as public information to the market place at the end of each period (say half yearly or yearly). 4 Setting minimum service standards The setting of minimum service standards could be done by simulating a reasonable level of planned outages (biased to low price and low network utilisation periods)and forced outages through a market model. The impact in terms of unserved energy and higher market prices could be calculated for this reasonable scenario on a regional or sub-regional basis as required. It would then be up to the NSP to manage the network within these defined parameters. The market provides medium term PASA, short term PASA, Predispatch and ex ante Dispatch information to all participants. The NSPs could utilise this information to forecast appropriate network operation and maintenance(in the same way as all participants who are sensitive to price and can accordingly alter their capability, do so).