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abstract: Two thirds of the U.S. power systems are operated under market structures. A good market design should maximize social welfare and give market participants proper incentives to follow market solutions. Pricing schemes play very important roles in market design. Locational marginal pricing scheme is the core pricing scheme in energy markets. Locational marginal prices are good pricing signals for dispatch marginal costs. However, the locational marginal prices alone are not incentive compatible since energy markets are non-convex markets. Locational marginal prices capture dispatch costs but fail to capture commitment costs such as startup cost, no-load cost, and shutdown cost. As a result, uplift payments are paid to generators in markets in order to provide incentives for generators to follow market solutions. The uplift payments distort pricing signals. In this thesis, pricing schemes in electric energy markets are studied. In the first part, convex hull pricing scheme is studied and the pricing model is extended with network constraints. The subgradient algorithm is applied to solve the pricing model. In the second part, a stochastic dispatchable pricing model is proposed to better address the non-convexity and uncertainty issues in day-ahead energy markets. In the third part, an energy storage arbitrage model with the current locational marginal price scheme is studied. Numerical test cases are studied to show the arguments in this thesis. The overall market and pricing scheme design is a very complex problem. This thesis gives a thorough overview of pricing schemes in day-ahead energy markets and addressed several key issues in the markets. New pricing schemes are proposed to improve market efficiency. / Dissertation/Thesis / Masters Thesis Electrical Engineering 2016

消費者價格彈性與通路價格策略 - 以洋芋片為例 / With modest increase of wage level and increasing inflation of raw material prices in Taiwan, manufacturers face pressure in maximizing profit with limited pricing power. Price and pack size management become keys for revenue maximization. The idea of this research originates from the observations from a price increase project of a key salty snack manufacturer in Taiwan. In the project, the manufacturer increased both pack size and price per gram of chip, aiming to sell bigger pack sizes in PX Mart, where shoppers are mainly housewives who buy for households. The price increase led to different outcomes in different channels due to shoppers’ different sensitivity. As a result, a choice-based conjoint (CBC) analysis was conducted to find out if shoppers in Convenient Store (CVS) and PX Mart have different sensitivities for potato chips. Also, pack sizes and different promotions are combined to test if deeper promotion depth can offset the negative impact from price increases. From the effect of different combinations, we offer recommendations on the optimal pack size and pricing strategy for the salty snack category in CVS and PX Mart, respectively.