Strategic Bidding in a Pool-Based Electricity Market under Load Forecast Uncertainty

Iranian Journal of Electrical and Electronic Engineering

卷:8

Sh. Gorgizadeh¹  A. Akbari Foroud¹  M. Amirahmadi¹ 

[1] Semnan University;

关键词: Electricity market;    Bidding strategy;    Game theory;    Genetic algorithm;    Fuzzy sets;    Mont-Carlo simulation;   

DOI  :  

来源: DOAJ

【 摘 要 】

This paper proposes a method for determining the price bidding strategies ofmarket participants consisting of Generation Companies (GENCOs) and DistributionCompanies (DISCOs) in a day-ahead electricity market, while taking into consideration theload forecast uncertainty and demand response programs. The proposed algorithm tries tofind a Pareto optimal point for a risk neutral participant in the market. Because of thecomplexity of the problem a stochastic method is used. In the proposed method, twoapproaches are used simultaneously. First approach is Fuzzy Genetic Algorithm for findingthe best bidding strategies of market players, and another one is Mont-Carlo Method thatmodels the uncertainty of load in price determining algorithm. It is demonstrated that withconsidering transmission flow constraints in the problem, load uncertainty can considerablyinfluences the profits of companies and so using the second part of the proposed algorithmwill be useful in such situation. It is also illustrated when there are no transmission flowconstraints, the effect of load uncertainty can be modeled without using a stochastic model.The algorithm is finally tested on an 8 bus system.

【 授权许可】

Unknown