Market power is known as the ability of units and generation companies(GenCos)to change electricity price profitably.As cleared in the definition,locational marginal price(LMP)is the most important key in market power...Market power is known as the ability of units and generation companies(GenCos)to change electricity price profitably.As cleared in the definition,locational marginal price(LMP)is the most important key in market power evaluation.Therefore,the main objective of the paper is to analyze market power of units and GenCos based on their abilities to change electricity price.At the first step,using Karush-Kuhn-Tucker(KKT)conditions of Lagrangian method,LMP is decomposed into four main components.These components indicate the share of each unit at the LMP of each bus.These values are calculated by the proposed analytical method,and cannot be obtained using simulation methods.At the second step,"unit-based LMP share(LMP_S)"index,which indicates the contribution factor of each unit at LMP of each bus,is proposed as a new structural market power index.This index is also used as an effective tool to determine the most profitable coalition between two units.Using that,the market operator can predict highly potential collusions.Moreover,"GenCosbased LMP_S"index is proposed.Using this effective tool,the contribution of each GenCo,which owns multiple units at various buses,at the LMP of each bus is discovered.The proposed market power indices are calculated on the IEEE24-bus test system and compared with some conventional structural market power indices.Incremental profits of units due to change of unit’s strategies verify the accuracy of the proposed method.展开更多
Demand response is becoming a promising field of study in operation and planning of restructured power systems. More attention has recently been paid to demand response programs. Customers can contribute to the operat...Demand response is becoming a promising field of study in operation and planning of restructured power systems. More attention has recently been paid to demand response programs. Customers can contribute to the operation of power systems by deployment demand response. The growth of customers' participation in such programs may affect the planning of power systems. Therefore, it seems necessary to consider the effects of demand response in planning approaches. In this paper, the impact of demand responsiveness on decision making in generation expansion planning is modeled. Avoidance or deferment in installation of new generating units is comprehensively investigated and evaluated by introducing a new simple index. The effects of demand responsiveness are studied from the points of view of both customers and generation companies. The proposed model has been applied to a modified IEEE 30-bus system and the results of the study are discussed. Simulation results show that reducing just 3% of the customers' demand(due to price elasticity) may result in a benefit of about 10% for customers in the long term.展开更多
文摘Market power is known as the ability of units and generation companies(GenCos)to change electricity price profitably.As cleared in the definition,locational marginal price(LMP)is the most important key in market power evaluation.Therefore,the main objective of the paper is to analyze market power of units and GenCos based on their abilities to change electricity price.At the first step,using Karush-Kuhn-Tucker(KKT)conditions of Lagrangian method,LMP is decomposed into four main components.These components indicate the share of each unit at the LMP of each bus.These values are calculated by the proposed analytical method,and cannot be obtained using simulation methods.At the second step,"unit-based LMP share(LMP_S)"index,which indicates the contribution factor of each unit at LMP of each bus,is proposed as a new structural market power index.This index is also used as an effective tool to determine the most profitable coalition between two units.Using that,the market operator can predict highly potential collusions.Moreover,"GenCosbased LMP_S"index is proposed.Using this effective tool,the contribution of each GenCo,which owns multiple units at various buses,at the LMP of each bus is discovered.The proposed market power indices are calculated on the IEEE24-bus test system and compared with some conventional structural market power indices.Incremental profits of units due to change of unit’s strategies verify the accuracy of the proposed method.
文摘Demand response is becoming a promising field of study in operation and planning of restructured power systems. More attention has recently been paid to demand response programs. Customers can contribute to the operation of power systems by deployment demand response. The growth of customers' participation in such programs may affect the planning of power systems. Therefore, it seems necessary to consider the effects of demand response in planning approaches. In this paper, the impact of demand responsiveness on decision making in generation expansion planning is modeled. Avoidance or deferment in installation of new generating units is comprehensively investigated and evaluated by introducing a new simple index. The effects of demand responsiveness are studied from the points of view of both customers and generation companies. The proposed model has been applied to a modified IEEE 30-bus system and the results of the study are discussed. Simulation results show that reducing just 3% of the customers' demand(due to price elasticity) may result in a benefit of about 10% for customers in the long term.
