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Market Architecture Robert Wilson Stanford University New Markets in Basic Industries • Privatization / “Liberalization” (worldwide) Deregulation / “Restructuring” (in U.S.) – Communications, Energy, Transport, Water • Motives: Efficiency & Investment Arguments: Scale Contestability Markets “get prices (incentives) right” Light-handed regulation suffices • Implementation requires Market Design 2 Elements of Market Design • Inputs: Scarce resources. Outputs: Products, services. Instruments: Tradable rights and contracts. Markets: Physical forward and spot. Financial hedges. Prices: Bids. Allocation rules. Settlement rules. • Efficiency: Gains in short-run. Investments long-run. • Incentives: – Procedures invulnerable to gaming – Rules + Incentives Efficiency (2nd Best) – Mitigate or control market power 3 Wholesale Electricity Markets • Energy: Long-forward. Day-ahead, Day-of. Real-time. – Markets: Bilateral. Exchange. Spot [ = Real-time] • Transmission: Day-ahead. Real-time. – Managed by SO [ = System Operator] – Markets: Congestion pricing, or purchase counterflow • Reserves: Capacity = Day-head. Energy = Real-time. – Markets: Auctions by SO. Real-time control by SO. • Hedges: Energy (Futures, CFDs). Transmission. – Markets: Auctions by SO. Secondary markets. 4 Simplified Electricity Market Transmission Capacity BA Congested Price in A P(A) Supply Incs in A || in B Uncongested Energy Price Congested Price in B P(B) Supply Decs in B || in A Transmission: Uses A-Incs & B-Decs [ Transmission Charge = P(A) P(B) ] Spot Market: Uses all Incs & Decs Supply into A net of Demand in B Demand into A net of Supply in A Imports into Region A Exports from Region B Note: actual market has many zones or nodes 5 Design Issue #1 Centralized v Decentralized (Complete v Incentives) • Centralized = consolidated markets SO optimizes everything: energy, trans., reserves Prices = shadow prices on constraints – Prices are right if model good & data accurate • Decentralized = separated markets PX clears markets, SO conducts auctions Prices = clearing prices – Prices are right if markets are complete & perfectly competitive 6 Institutional Perspectives • Centralized designs are based on – Relational contracting. SO = Traders’ agent. Organizational structure inherited from utilities. – Objectives = reliability, coordination, pricing. – Incentives = sanctions. Abuses are penalized. • Decentralized designs are based on – Voluntary participation, bidding, availability. Few markets based on simple market clearing. – Objectives = efficiency, competition, min-SO. – Incentives = market prices for deviations. 7 Theoretical Perspectives • This debate is like 1930s Lange-Lerner. Basic fact is primal-dual equivalence of quantity and price mediated mechanisms. • Can incomplete and imperfect markets match optimization? – Requires good price discovery & repeat mkts. • Is decentralization necessary to promote competition and strengthen incentives? – Centralized designs cannot provide sufficient incentives if pricing is constrained (Vickrey). 8 Examples of Incompleteness • Simple contracts with retail customers – So demand highly stochastic (and no storage!) • Energy: Forward markets clear each hour independently. No contingent contracts. • Transmission: Scarce resources are not priced when large zones are used. • Reserves: Capacity is priced imperfectly on relevant quality dimension -- response time. These are a few among many. 9 Example of Gaming • Centralized: set price at each node. – Nodal Price = Energy Price + Injection Charge from [Demand = Supply] & [Trans. Capacity] • Decentralized: 1st clear DA energy market, 2nd adjust energy in zones, 3rd use incs/decs. – Gaming: bidder sells huge quantity day-ahead that the SO is forced to sell back at low-priced dec in the spot market. Enter at congested node! • This is inevitable consequence of unpriced scarce resources (i.e., incomplete market). 10 Other Effects of Incompleteness • Impaired Efficiency – Intertemporal effects are ignored. Startup costs, ramping constraints,… – Flexible resources & reserves are under-priced. Due to lack of contingent planning or contracts. – Entrants attracted to wrong locations. Due to unpriced transmission constraints. – Sequence of markets depends on rational expectations. Anticipate transmission charge. • Impaired Competition – Each incompleteness invites gaming. 11 Remedies for Incompleteness • Sequence of markets – Repeated trading of simple contracts (long-forward, day-ahead, hour-ahead, spot) approximates complete market. Transmission is similar if pricing is locational at nodes. • Better price discovery – Iterative auction approximates Walrasian model but requires good activity rules. Example: “use it or lose it” options. • Complex market-clearing procedures – Requires consolidated markets run by SO ? 12 Summary • Can centralization work well? [complete] – Strengthen competition, or use incentivecompatible settlement rules (e.g., Vickrey). • Can decentralization work well? [incentives] – It works - systems are operating successfully. Most are seen as promoting competition. – But to price efficiently and prevent gaming requires effectively complete markets. – Can this be done without consolidated market? Working hypothesis is ultimately yes - after many improvements to control gaming. 13 Design Issues #2, #3 (Addressed in text of paper) • Design details of each market – Energy: bilateral contracting, or an exchange. – Transmission: • Implementing nodal pricing in decentralized market • Markets for hedges, firm transmission rights – Reserves: design of two-dimensional auctions (available capacity, contingent energy supply). • Mitigation of market power – Divestiture. Contract cover. Supply auctions. 14 Comparisons with Other Industries • Transport industries with similar issues but different solutions: – Gas pipelines – Rail networks – Telecommunication networks • To what extent are solutions derived from: – Technical differences? • Point-to-point transport – Ownership and control? • Each network privately owned and managed, no SO! 15